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-rw-r--r--g3doc/BUILD44
-rw-r--r--g3doc/Layers.pngbin11044 -> 0 bytes
-rw-r--r--g3doc/Layers.svg1
-rw-r--r--g3doc/Machine-Virtualization.pngbin13205 -> 0 bytes
-rw-r--r--g3doc/Machine-Virtualization.svg1
-rw-r--r--g3doc/README.md164
-rw-r--r--g3doc/Rule-Based-Execution.pngbin6780 -> 0 bytes
-rw-r--r--g3doc/Rule-Based-Execution.svg1
-rw-r--r--g3doc/Sentry-Gofer.pngbin9064 -> 0 bytes
-rw-r--r--g3doc/Sentry-Gofer.svg1
-rw-r--r--g3doc/architecture_guide/BUILD50
-rw-r--r--g3doc/architecture_guide/performance.md277
-rw-r--r--g3doc/architecture_guide/platforms.md61
-rw-r--r--g3doc/architecture_guide/platforms.pngbin21384 -> 0 bytes
-rw-r--r--g3doc/architecture_guide/platforms.svg334
-rw-r--r--g3doc/architecture_guide/resources.md144
-rw-r--r--g3doc/architecture_guide/resources.pngbin16621 -> 0 bytes
-rw-r--r--g3doc/architecture_guide/resources.svg208
-rw-r--r--g3doc/architecture_guide/security.md255
-rw-r--r--g3doc/architecture_guide/security.pngbin16932 -> 0 bytes
-rw-r--r--g3doc/architecture_guide/security.svg153
-rw-r--r--g3doc/community.md31
-rw-r--r--g3doc/logo.pngbin27719 -> 0 bytes
-rw-r--r--g3doc/logo.txt1
-rw-r--r--g3doc/proposals/runtime_dedicate_os_thread.md188
-rw-r--r--g3doc/roadmap.md49
-rw-r--r--g3doc/style.md97
-rw-r--r--g3doc/user_guide/BUILD70
-rw-r--r--g3doc/user_guide/FAQ.md152
-rw-r--r--g3doc/user_guide/checkpoint_restore.md101
-rw-r--r--g3doc/user_guide/compatibility.md93
-rw-r--r--g3doc/user_guide/containerd/BUILD33
-rw-r--r--g3doc/user_guide/containerd/configuration.md96
-rw-r--r--g3doc/user_guide/containerd/containerd_11.md167
-rw-r--r--g3doc/user_guide/containerd/quick_start.md180
-rw-r--r--g3doc/user_guide/debugging.md141
-rw-r--r--g3doc/user_guide/filesystem.md60
-rw-r--r--g3doc/user_guide/install.md174
-rw-r--r--g3doc/user_guide/networking.md84
-rw-r--r--g3doc/user_guide/platforms.md95
-rw-r--r--g3doc/user_guide/quick_start/BUILD33
-rw-r--r--g3doc/user_guide/quick_start/docker.md99
-rw-r--r--g3doc/user_guide/quick_start/kubernetes.md34
-rw-r--r--g3doc/user_guide/quick_start/oci.md43
-rw-r--r--g3doc/user_guide/tutorials/BUILD46
-rw-r--r--g3doc/user_guide/tutorials/add-node-pool.pngbin70208 -> 0 bytes
-rw-r--r--g3doc/user_guide/tutorials/cni.md174
-rw-r--r--g3doc/user_guide/tutorials/docker-compose.md100
-rw-r--r--g3doc/user_guide/tutorials/docker.md70
-rw-r--r--g3doc/user_guide/tutorials/kubernetes.md236
-rw-r--r--g3doc/user_guide/tutorials/node-pool-button.pngbin13757 -> 0 bytes
51 files changed, 0 insertions, 4341 deletions
diff --git a/g3doc/BUILD b/g3doc/BUILD
deleted file mode 100644
index f91a77b6f..000000000
--- a/g3doc/BUILD
+++ /dev/null
@@ -1,44 +0,0 @@
-load("//website:defs.bzl", "doc")
-
-package(
- default_visibility = ["//website:__pkg__"],
- licenses = ["notice"],
-)
-
-doc(
- name = "index",
- src = "README.md",
- category = "Project",
- data = glob([
- "*.png",
- "*.svg",
- ]),
- permalink = "/docs/",
- weight = "0",
-)
-
-doc(
- name = "roadmap",
- src = "roadmap.md",
- category = "Project",
- permalink = "/roadmap/",
- weight = "10",
-)
-
-doc(
- name = "community",
- src = "community.md",
- category = "Project",
- permalink = "/community/",
- subcategory = "Community",
- weight = "10",
-)
-
-doc(
- name = "style",
- src = "style.md",
- category = "Project",
- permalink = "/community/style_guide/",
- subcategory = "Community",
- weight = "99",
-)
diff --git a/g3doc/Layers.png b/g3doc/Layers.png
deleted file mode 100644
index 308c6c451..000000000
--- a/g3doc/Layers.png
+++ /dev/null
Binary files differ
diff --git a/g3doc/Layers.svg b/g3doc/Layers.svg
deleted file mode 100644
index 0a366f841..000000000
--- a/g3doc/Layers.svg
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diff --git a/g3doc/README.md b/g3doc/README.md
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-# What is gVisor?
-
-gVisor is an application kernel, written in Go, that implements a substantial
-portion of the [Linux system call interface][linux]. It provides an additional
-layer of isolation between running applications and the host operating system.
-
-gVisor includes an [Open Container Initiative (OCI)][oci] runtime called `runsc`
-that makes it easy to work with existing container tooling. The `runsc` runtime
-integrates with Docker and Kubernetes, making it simple to run sandboxed
-containers.
-
-gVisor can be used with Docker, Kubernetes, or directly using `runsc`. Use the
-links below to see detailed instructions for each of them:
-
-* [Docker](./user_guide/quick_start/docker.md): The quickest and easiest way
- to get started.
-* [Kubernetes](./user_guide/quick_start/kubernetes.md): Isolate Pods in your
- K8s cluster with gVisor.
-* [OCI Quick Start](./user_guide/quick_start/oci.md): Expert mode. Customize
- gVisor for your environment.
-
-## What does gVisor do?
-
-gVisor provides a virtualized environment in order to sandbox containers. The
-system interfaces normally implemented by the host kernel are moved into a
-distinct, per-sandbox application kernel in order to minimize the risk of an
-container escape exploit. gVisor does not introduce large fixed overheads
-however, and still retains a process-like model with respect to resource
-utilization.
-
-## How is this different?
-
-Two other approaches are commonly taken to provide stronger isolation than
-native containers.
-
-**Machine-level virtualization**, such as [KVM][kvm] and [Xen][xen], exposes
-virtualized hardware to a guest kernel via a Virtual Machine Monitor (VMM). This
-virtualized hardware is generally enlightened (paravirtualized) and additional
-mechanisms can be used to improve the visibility between the guest and host
-(e.g. balloon drivers, paravirtualized spinlocks). Running containers in
-distinct virtual machines can provide great isolation, compatibility and
-performance (though nested virtualization may bring challenges in this area),
-but for containers it often requires additional proxies and agents, and may
-require a larger resource footprint and slower start-up times.
-
-![Machine-level virtualization](Machine-Virtualization.png "Machine-level virtualization")
-
-**Rule-based execution**, such as [seccomp][seccomp], [SELinux][selinux] and
-[AppArmor][apparmor], allows the specification of a fine-grained security policy
-for an application or container. These schemes typically rely on hooks
-implemented inside the host kernel to enforce the rules. If the surface can be
-made small enough, then this is an excellent way to sandbox applications and
-maintain native performance. However, in practice it can be extremely difficult
-(if not impossible) to reliably define a policy for arbitrary, previously
-unknown applications, making this approach challenging to apply universally.
-
-![Rule-based execution](Rule-Based-Execution.png "Rule-based execution")
-
-Rule-based execution is often combined with additional layers for
-defense-in-depth.
-
-**gVisor** provides a third isolation mechanism, distinct from those above.
-
-gVisor intercepts application system calls and acts as the guest kernel, without
-the need for translation through virtualized hardware. gVisor may be thought of
-as either a merged guest kernel and VMM, or as seccomp on steroids. This
-architecture allows it to provide a flexible resource footprint (i.e. one based
-on threads and memory mappings, not fixed guest physical resources) while also
-lowering the fixed costs of virtualization. However, this comes at the price of
-reduced application compatibility and higher per-system call overhead.
-
-![gVisor](Layers.png "gVisor")
-
-On top of this, gVisor employs rule-based execution to provide defense-in-depth
-(details below).
-
-gVisor's approach is similar to [User Mode Linux (UML)][uml], although UML
-virtualizes hardware internally and thus provides a fixed resource footprint.
-
-Each of the above approaches may excel in distinct scenarios. For example,
-machine-level virtualization will face challenges achieving high density, while
-gVisor may provide poor performance for system call heavy workloads.
-
-## Why Go?
-
-gVisor is written in [Go][golang] in order to avoid security pitfalls that can
-plague kernels. With Go, there are strong types, built-in bounds checks, no
-uninitialized variables, no use-after-free, no stack overflow, and a built-in
-race detector. However, the use of Go has its challenges, and the runtime often
-introduces performance overhead.
-
-## What are the different components?
-
-A gVisor sandbox consists of multiple processes. These processes collectively
-comprise an environment in which one or more containers can be run.
-
-Each sandbox has its own isolated instance of:
-
-* The **Sentry**, which is a kernel that runs the containers and intercepts
- and responds to system calls made by the application.
-
-Each container running in the sandbox has its own isolated instance of:
-
-* A **Gofer** which provides file system access to the containers.
-
-![gVisor architecture diagram](Sentry-Gofer.png "gVisor architecture diagram")
-
-## What is runsc?
-
-The entrypoint to running a sandboxed container is the `runsc` executable.
-`runsc` implements the [Open Container Initiative (OCI)][oci] runtime
-specification, which is used by Docker and Kubernetes. This means that OCI
-compatible _filesystem bundles_ can be run by `runsc`. Filesystem bundles are
-comprised of a `config.json` file containing container configuration, and a root
-filesystem for the container. Please see the [OCI runtime spec][runtime-spec]
-for more information on filesystem bundles. `runsc` implements multiple commands
-that perform various functions such as starting, stopping, listing, and querying
-the status of containers.
-
-### Sentry {#sentry}
-
-The Sentry is the largest component of gVisor. It can be thought of as a
-application kernel. The Sentry implements all the kernel functionality needed by
-the application, including: system calls, signal delivery, memory management and
-page faulting logic, the threading model, and more.
-
-When the application makes a system call, the
-[Platform](./architecture_guide/platforms.md) redirects the call to the Sentry,
-which will do the necessary work to service it. It is important to note that the
-Sentry does not pass system calls through to the host kernel. As a userspace
-application, the Sentry will make some host system calls to support its
-operation, but it does not allow the application to directly control the system
-calls it makes. For example, the Sentry is not able to open files directly; file
-system operations that extend beyond the sandbox (not internal `/proc` files,
-pipes, etc) are sent to the Gofer, described below.
-
-### Gofer {#gofer}
-
-The Gofer is a standard host process which is started with each container and
-communicates with the Sentry via the [9P protocol][9p] over a socket or shared
-memory channel. The Sentry process is started in a restricted seccomp container
-without access to file system resources. The Gofer mediates all access to the
-these resources, providing an additional level of isolation.
-
-### Application {#application}
-
-The application is a normal Linux binary provided to gVisor in an OCI runtime
-bundle. gVisor aims to provide an environment equivalent to Linux v4.4, so
-applications should be able to run unmodified. However, gVisor does not
-presently implement every system call, `/proc` file, or `/sys` file so some
-incompatibilities may occur. See [Compatibility](./user_guide/compatibility.md)
-for more information.
-
-[9p]: https://en.wikipedia.org/wiki/9P_(protocol)
-[apparmor]: https://wiki.ubuntu.com/AppArmor
-[golang]: https://golang.org
-[kvm]: https://www.linux-kvm.org
-[linux]: https://en.wikipedia.org/wiki/Linux_kernel_interfaces
-[oci]: https://www.opencontainers.org
-[runtime-spec]: https://github.com/opencontainers/runtime-spec
-[seccomp]: https://www.kernel.org/doc/Documentation/prctl/seccomp_filter.txt
-[selinux]: https://selinuxproject.org
-[uml]: http://user-mode-linux.sourceforge.net/
-[xen]: https://www.xenproject.org
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diff --git a/g3doc/architecture_guide/BUILD b/g3doc/architecture_guide/BUILD
deleted file mode 100644
index 404f627a4..000000000
--- a/g3doc/architecture_guide/BUILD
+++ /dev/null
@@ -1,50 +0,0 @@
-load("//website:defs.bzl", "doc")
-
-package(
- default_visibility = ["//website:__pkg__"],
- licenses = ["notice"],
-)
-
-doc(
- name = "platforms",
- src = "platforms.md",
- category = "Architecture Guide",
- data = [
- "platforms.png",
- "platforms.svg",
- ],
- permalink = "/docs/architecture_guide/platforms/",
- weight = "40",
-)
-
-doc(
- name = "resources",
- src = "resources.md",
- category = "Architecture Guide",
- data = [
- "resources.png",
- "resources.svg",
- ],
- permalink = "/docs/architecture_guide/resources/",
- weight = "30",
-)
-
-doc(
- name = "security",
- src = "security.md",
- category = "Architecture Guide",
- data = [
- "security.png",
- "security.svg",
- ],
- permalink = "/docs/architecture_guide/security/",
- weight = "10",
-)
-
-doc(
- name = "performance",
- src = "performance.md",
- category = "Architecture Guide",
- permalink = "/docs/architecture_guide/performance/",
- weight = "20",
-)
diff --git a/g3doc/architecture_guide/performance.md b/g3doc/architecture_guide/performance.md
deleted file mode 100644
index b89facfd3..000000000
--- a/g3doc/architecture_guide/performance.md
+++ /dev/null
@@ -1,277 +0,0 @@
-# Performance Guide
-
-[TOC]
-
-gVisor is designed to provide a secure, virtualized environment while preserving
-key benefits of containerization, such as small fixed overheads and a dynamic
-resource footprint. For containerized infrastructure, this can provide a
-turn-key solution for sandboxing untrusted workloads: there are no changes to
-the fundamental resource model.
-
-gVisor imposes runtime costs over native containers. These costs come in two
-forms: additional cycles and memory usage, which may manifest as increased
-latency, reduced throughput or density, or not at all. In general, these costs
-come from two different sources.
-
-First, the existence of the [Sentry](../README.md#sentry) means that additional
-memory will be required, and application system calls must traverse additional
-layers of software. The design emphasizes
-[security](/docs/architecture_guide/security/) and therefore we chose to use a
-language for the Sentry that provides benefits in this domain but may not yet
-offer the raw performance of other choices. Costs imposed by these design
-choices are **structural costs**.
-
-Second, as gVisor is an independent implementation of the system call surface,
-many of the subsystems or specific calls are not as optimized as more mature
-implementations. A good example here is the network stack, which is continuing
-to evolve but does not support all the advanced recovery mechanisms offered by
-other stacks and is less CPU efficient. This is an **implementation cost** and
-is distinct from **structural costs**. Improvements here are ongoing and driven
-by the workloads that matter to gVisor users and contributors.
-
-This page provides a guide for understanding baseline performance, and calls out
-distinct **structural costs** and **implementation costs**, highlighting where
-improvements are possible and not possible.
-
-While we include a variety of workloads here, it’s worth emphasizing that gVisor
-may not be an appropriate solution for every workload, for reasons other than
-performance. For example, a sandbox may provide minimal benefit for a trusted
-database, since _user data would already be inside the sandbox_ and there is no
-need for an attacker to break out in the first place.
-
-## Methodology
-
-All data below was generated using the [benchmark tools][benchmark-tools]
-repository, and the machines under test are uniform [Google Compute Engine][gce]
-Virtual Machines (VMs) with the following specifications:
-
- Machine type: n1-standard-4 (broadwell)
- Image: Debian GNU/Linux 9 (stretch) 4.19.0-0
- BootDisk: 2048GB SSD persistent disk
-
-Through this document, `runsc` is used to indicate the runtime provided by
-gVisor. When relevant, we use the name `runsc-platform` to describe a specific
-[platform choice](/docs/architecture_guide/platforms/).
-
-**Except where specified, all tests below are conducted with the `ptrace`
-platform. The `ptrace` platform works everywhere and does not require hardware
-virtualization or kernel modifications but suffers from the highest structural
-costs by far. This platform is used to provide a clear understanding of the
-performance model, but in no way represents an ideal scenario. In the future,
-this guide will be extended to bare metal environments and include additional
-platforms.**
-
-## Memory access
-
-gVisor does not introduce any additional costs with respect to raw memory
-accesses. Page faults and other Operating System (OS) mechanisms are translated
-through the Sentry, but once mappings are installed and available to the
-application, there is no additional overhead.
-
-{% include graph.html id="sysbench-memory"
-url="/performance/sysbench-memory.csv" title="perf.py sysbench.memory
---runtime=runc --runtime=runsc" %}
-
-The above figure demonstrates the memory transfer rate as measured by
-`sysbench`.
-
-## Memory usage
-
-The Sentry provides an additional layer of indirection, and it requires memory
-in order to store state associated with the application. This memory generally
-consists of a fixed component, plus an amount that varies with the usage of
-operating system resources (e.g. how many sockets or files are opened).
-
-For many use cases, fixed memory overheads are a primary concern. This may be
-because sandboxed containers handle a low volume of requests, and it is
-therefore important to achieve high densities for efficiency.
-
-{% include graph.html id="density" url="/performance/density.csv" title="perf.py
-density --runtime=runc --runtime=runsc" log="true" y_min="100000" %}
-
-The above figure demonstrates these costs based on three sample applications.
-This test is the result of running many instances of a container (50, or 5 in
-the case of redis) and calculating available memory on the host before and
-afterwards, and dividing the difference by the number of containers. This
-technique is used for measuring memory usage over the `usage_in_bytes` value of
-the container cgroup because we found that some container runtimes, other than
-`runc` and `runsc`, do not use an individual container cgroup.
-
-The first application is an instance of `sleep`: a trivial application that does
-nothing. The second application is a synthetic `node` application which imports
-a number of modules and listens for requests. The third application is a similar
-synthetic `ruby` application which does the same. Finally, we include an
-instance of `redis` storing approximately 1GB of data. In all cases, the sandbox
-itself is responsible for a small, mostly fixed amount of memory overhead.
-
-## CPU performance
-
-gVisor does not perform emulation or otherwise interfere with the raw execution
-of CPU instructions by the application. Therefore, there is no runtime cost
-imposed for CPU operations.
-
-{% include graph.html id="sysbench-cpu" url="/performance/sysbench-cpu.csv"
-title="perf.py sysbench.cpu --runtime=runc --runtime=runsc" %}
-
-The above figure demonstrates the `sysbench` measurement of CPU events per
-second. Events per second is based on a CPU-bound loop that calculates all prime
-numbers in a specified range. We note that `runsc` does not impose a performance
-penalty, as the code is executing natively in both cases.
-
-This has important consequences for classes of workloads that are often
-CPU-bound, such as data processing or machine learning. In these cases, `runsc`
-will similarly impose minimal runtime overhead.
-
-{% include graph.html id="tensorflow" url="/performance/tensorflow.csv"
-title="perf.py tensorflow --runtime=runc --runtime=runsc" %}
-
-For example, the above figure shows a sample TensorFlow workload, the
-[convolutional neural network example][cnn]. The time indicated includes the
-full start-up and run time for the workload, which trains a model.
-
-## System calls
-
-Some **structural costs** of gVisor are heavily influenced by the
-[platform choice](/docs/architecture_guide/platforms/), which implements system
-call interception. Today, gVisor supports a variety of platforms. These
-platforms present distinct performance, compatibility and security trade-offs.
-For example, the KVM platform has low overhead system call interception but runs
-poorly with nested virtualization.
-
-{% include graph.html id="syscall" url="/performance/syscall.csv" title="perf.py
-syscall --runtime=runc --runtime=runsc-ptrace --runtime=runsc-kvm" y_min="100"
-log="true" %}
-
-The above figure demonstrates the time required for a raw system call on various
-platforms. The test is implemented by a custom binary which performs a large
-number of system calls and calculates the average time required.
-
-This cost will principally impact applications that are system call bound, which
-tend to be high-performance data stores and static network services. In general,
-the impact of system call interception will be lower the more work an
-application does.
-
-{% include graph.html id="redis" url="/performance/redis.csv" title="perf.py
-redis --runtime=runc --runtime=runsc" %}
-
-For example, `redis` is an application that performs relatively little work in
-userspace: in general it reads from a connected socket, reads or modifies some
-data, and writes a result back to the socket. The above figure shows the results
-of running [comprehensive set of benchmarks][redis-benchmark]. We can see that
-small operations impose a large overhead, while larger operations, such as
-`LRANGE`, where more work is done in the application, have a smaller relative
-overhead.
-
-Some of these costs above are **structural costs**, and `redis` is likely to
-remain a challenging performance scenario. However, optimizing the
-[platform](/docs/architecture_guide/platforms/) will also have a dramatic
-impact.
-
-## Start-up time
-
-For many use cases, the ability to spin-up containers quickly and efficiently is
-important. A sandbox may be short-lived and perform minimal user work (e.g. a
-function invocation).
-
-{% include graph.html id="startup" url="/performance/startup.csv" title="perf.py
-startup --runtime=runc --runtime=runsc" %}
-
-The above figure indicates how total time required to start a container through
-[Docker][docker]. This benchmark uses three different applications. First, an
-alpine Linux-container that executes `true`. Second, a `node` application that
-loads a number of modules and binds an HTTP server. The time is measured by a
-successful request to the bound port. Finally, a `ruby` application that
-similarly loads a number of modules and binds an HTTP server.
-
-> Note: most of the time overhead above is associated Docker itself. This is
-> evident with the empty `runc` benchmark. To avoid these costs with `runsc`,
-> you may also consider using `runsc do` mode or invoking the
-> [OCI runtime](../user_guide/quick_start/oci.md) directly.
-
-## Network
-
-Networking is mostly bound by **implementation costs**, and gVisor's network
-stack is improving quickly.
-
-While typically not an important metric in practice for common sandbox use
-cases, nevertheless `iperf` is a common microbenchmark used to measure raw
-throughput.
-
-{% include graph.html id="iperf" url="/performance/iperf.csv" title="perf.py
-iperf --runtime=runc --runtime=runsc" %}
-
-The above figure shows the result of an `iperf` test between two instances. For
-the upload case, the specified runtime is used for the `iperf` client, and in
-the download case, the specified runtime is the server. A native runtime is
-always used for the other endpoint in the test.
-
-{% include graph.html id="applications" metric="requests_per_second"
-url="/performance/applications.csv" title="perf.py http.(node|ruby)
---connections=25 --runtime=runc --runtime=runsc" %}
-
-The above figure shows the result of simple `node` and `ruby` web services that
-render a template upon receiving a request. Because these synthetic benchmarks
-do minimal work per request, much like the `redis` case, they suffer from high
-overheads. In practice, the more work an application does the smaller the impact
-of **structural costs** become.
-
-## File system
-
-Some aspects of file system performance are also reflective of **implementation
-costs**, and an area where gVisor's implementation is improving quickly.
-
-In terms of raw disk I/O, gVisor does not introduce significant fundamental
-overhead. For general file operations, gVisor introduces a small fixed overhead
-for data that transitions across the sandbox boundary. This manifests as
-**structural costs** in some cases, since these operations must be routed
-through the [Gofer](../README.md#gofer) as a result of our
-[Security Model](/docs/architecture_guide/security/), but in most cases are
-dominated by **implementation costs**, due to an internal
-[Virtual File System][vfs] (VFS) implementation that needs improvement.
-
-{% include graph.html id="fio-bw" url="/performance/fio.csv" title="perf.py fio
---engine=sync --runtime=runc --runtime=runsc" log="true" %}
-
-The above figures demonstrate the results of `fio` for reads and writes to and
-from the disk. In this case, the disk quickly becomes the bottleneck and
-dominates other costs.
-
-{% include graph.html id="fio-tmpfs-bw" url="/performance/fio-tmpfs.csv"
-title="perf.py fio --engine=sync --runtime=runc --tmpfs=True --runtime=runsc"
-log="true" %}
-
-The above figure shows the raw I/O performance of using a `tmpfs` mount which is
-sandbox-internal in the case of `runsc`. Generally these operations are
-similarly bound to the cost of copying around data in-memory, and we don't see
-the cost of VFS operations.
-
-{% include graph.html id="httpd100k" metric="transfer_rate"
-url="/performance/httpd100k.csv" title="perf.py http.httpd --connections=1
---connections=5 --connections=10 --connections=25 --runtime=runc
---runtime=runsc" %}
-
-The high costs of VFS operations can manifest in benchmarks that execute many
-such operations in the hot path for serving requests, for example. The above
-figure shows the result of using gVisor to serve small pieces of static content
-with predictably poor results. This workload represents `apache` serving a
-single file sized 100k from the container image to a client running
-[ApacheBench][ab] with varying levels of concurrency. The high overhead comes
-principally from the VFS implementation that needs improvement, with several
-internal serialization points (since all requests are reading the same file).
-Note that some of some of network stack performance issues also impact this
-benchmark.
-
-{% include graph.html id="ffmpeg" url="/performance/ffmpeg.csv" title="perf.py
-media.ffmpeg --runtime=runc --runtime=runsc" %}
-
-For benchmarks that are bound by raw disk I/O and a mix of compute, file system
-operations are less of an issue. The above figure shows the total time required
-for an `ffmpeg` container to start, load and transcode a 27MB input video.
-
-[ab]: https://en.wikipedia.org/wiki/ApacheBench
-[benchmark-tools]: https://github.com/google/gvisor/tree/master/test/benchmarks
-[gce]: https://cloud.google.com/compute/
-[cnn]: https://github.com/aymericdamien/TensorFlow-Examples/blob/master/examples/3_NeuralNetworks/convolutional_network.py
-[docker]: https://docker.io
-[redis-benchmark]: https://redis.io/topics/benchmarks
-[vfs]: https://en.wikipedia.org/wiki/Virtual_file_system
diff --git a/g3doc/architecture_guide/platforms.md b/g3doc/architecture_guide/platforms.md
deleted file mode 100644
index d112c9a28..000000000
--- a/g3doc/architecture_guide/platforms.md
+++ /dev/null
@@ -1,61 +0,0 @@
-# Platform Guide
-
-[TOC]
-
-gVisor requires a platform to implement interception of syscalls, basic context
-switching, and memory mapping functionality. Internally, gVisor uses an
-abstraction sensibly called [Platform][platform]. A simplified version of this
-interface looks like:
-
-```golang
-type Platform interface {
- NewAddressSpace() (AddressSpace, error)
- NewContext() Context
-}
-
-type Context interface {
- Switch(as AddressSpace, ac arch.Context) (..., error)
-}
-
-type AddressSpace interface {
- MapFile(addr usermem.Addr, f File, fr FileRange, at usermem.AccessType, ...) error
- Unmap(addr usermem.Addr, length uint64)
-}
-```
-
-There are a number of different ways to implement this interface that come with
-various trade-offs, generally around performance and hardware requirements.
-
-## Implementations
-
-The choice of platform depends on the context in which `runsc` is executing. In
-general, virtualized platforms may be limited to platforms that do not require
-hardware virtualized support (since the hardware is already in use):
-
-![Platforms](platforms.png "Platform examples.")
-
-### ptrace
-
-The ptrace platform uses [PTRACE_SYSEMU][ptrace] to execute user code without
-allowing it to execute host system calls. This platform can run anywhere that
-`ptrace` works (even VMs without nested virtualization), which is ubiquitous.
-
-Unfortunately, the ptrace platform has high context switch overhead, so system
-call-heavy applications may pay a [performance penalty](./performance.md).
-
-### KVM
-
-The KVM platform uses the kernel's [KVM][kvm] functionality to allow the Sentry
-to act as both guest OS and VMM. The KVM platform can run on bare-metal or in a
-VM with nested virtualization enabled. While there is no virtualized hardware
-layer -- the sandbox retains a process model -- gVisor leverages virtualization
-extensions available on modern processors in order to improve isolation and
-performance of address space switches.
-
-## Changing Platforms
-
-See [Changing Platforms](../user_guide/platforms.md).
-
-[kvm]: https://www.kernel.org/doc/Documentation/virtual/kvm/api.txt
-[platform]: https://cs.opensource.google/gvisor/gvisor/+/release-20190304.1:pkg/sentry/platform/platform.go;l=33
-[ptrace]: http://man7.org/linux/man-pages/man2/ptrace.2.html
diff --git a/g3doc/architecture_guide/platforms.png b/g3doc/architecture_guide/platforms.png
deleted file mode 100644
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+++ /dev/null
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diff --git a/g3doc/architecture_guide/resources.md b/g3doc/architecture_guide/resources.md
deleted file mode 100644
index fc997d40c..000000000
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+++ /dev/null
@@ -1,144 +0,0 @@
-# Resource Model
-
-[TOC]
-
-The resource model for gVisor does not assume a fixed number of threads of
-execution (i.e. vCPUs) or amount of physical memory. Where possible, decisions
-about underlying physical resources are delegated to the host system, where
-optimizations can be made with global information. This delegation allows the
-sandbox to be highly dynamic in terms of resource usage: spanning a large number
-of cores and large amount of memory when busy, and yielding those resources back
-to the host when not.
-
-In order words, the shape of the sandbox should closely track the shape of the
-sandboxed process:
-
-![Resource model](resources.png "Workloads of different shapes.")
-
-## Processes
-
-Much like a Virtual Machine (VM), a gVisor sandbox appears as an opaque process
-on the system. Processes within the sandbox do not manifest as processes on the
-host system, and process-level interactions within the sandbox require entering
-the sandbox (e.g. via a [Docker exec][exec]).
-
-## Networking
-
-The sandbox attaches a network endpoint to the system, but runs its own network
-stack. All network resources, other than packets in flight on the host, exist
-only inside the sandbox, bound by relevant resource limits.
-
-You can interact with network endpoints exposed by the sandbox, just as you
-would any other container, but network introspection similarly requires entering
-the sandbox.
-
-## Files
-
-Files in the sandbox may be backed by different implementations. For host-native
-files (where a file descriptor is available), the Gofer may return a file
-descriptor to the Sentry via [SCM_RIGHTS][scmrights][^1].
-
-These files may be read from and written to through standard system calls, and
-also mapped into the associated application's address space. This allows the
-same host memory to be shared across multiple sandboxes, although this mechanism
-does not preclude the use of side-channels (see [Security Model](./security.md).
-
-Note that some file systems exist only within the context of the sandbox. For
-example, in many cases a `tmpfs` mount will be available at `/tmp` or
-`/dev/shm`, which allocates memory directly from the sandbox memory file (see
-below). Ultimately, these will be accounted against relevant limits in a similar
-way as the host native case.
-
-## Threads
-
-The Sentry models individual task threads with [goroutines][goroutine]. As a
-result, each task thread is a lightweight [green thread][greenthread], and may
-not correspond to an underlying host thread.
-
-However, application execution is modelled as a blocking system call with the
-Sentry. This means that additional host threads may be created, *depending on
-the number of active application threads*. In practice, a busy application will
-converge on the number of active threads, and the host will be able to make
-scheduling decisions about all application threads.
-
-## Time
-
-Time in the sandbox is provided by the Sentry, through its own [vDSO][vdso] and
-time-keeping implementation. This is distinct from the host time, and no state
-is shared with the host, although the time will be initialized with the host
-clock.
-
-The Sentry runs timers to note the passage of time, much like a kernel running
-on hardware (though the timers are software timers, in this case). These timers
-provide updates to the vDSO, the time returned through system calls, and the
-time recorded for usage or limit tracking (e.g. [RLIMIT_CPU][rlimit]).
-
-When all application threads are idle, the Sentry disables timers until an event
-occurs that wakes either the Sentry or an application thread, similar to a
-[tickless kernel][tickless]. This allows the Sentry to achieve near zero CPU
-usage for idle applications.
-
-## Memory
-
-The Sentry implements its own memory management, including demand-paging and a
-Sentry internal page cache for files that cannot be used natively. A single
-[memfd][memfd] backs all application memory.
-
-### Address spaces
-
-The creation of address spaces is platform-specific. For some platforms,
-additional "stub" processes may be created on the host in order to support
-additional address spaces. These stubs are subject to various limits applied at
-the sandbox level (e.g. PID limits).
-
-### Physical memory
-
-The host is able to manage physical memory using regular means (e.g. tracking
-working sets, reclaiming and swapping under pressure). The Sentry lazily
-populates host mappings for applications, and allow the host to demand-page
-those regions, which is critical for the functioning of those mechanisms.
-
-In order to avoid excessive overhead, the Sentry does not demand-page individual
-pages. Instead, it selects appropriate regions based on heuristics. There is a
-trade-off here: the Sentry is unable to trivially determine which pages are
-active and which are not. Even if pages were individually faulted, the host may
-select pages to be reclaimed or swapped without the Sentry's knowledge.
-
-Therefore, memory usage statistics within the sandbox (e.g. via `proc`) are
-approximations. The Sentry maintains an internal breakdown of memory usage, and
-can collect accurate information but only through a relatively expensive API
-call. In any case, it would likely be considered unwise to share precise
-information about how the host is managing memory with the sandbox.
-
-Finally, when an application marks a region of memory as no longer needed, for
-example via a call to [madvise][madvise], the Sentry *releases this memory back
-to the host*. There can be performance penalties for this, since it may be
-cheaper in many cases to retain the memory and use it to satisfy some other
-request. However, releasing it immediately to the host allows the host to more
-effectively multiplex resources and apply an efficient global policy.
-
-## Limits
-
-All Sentry threads and Sentry memory are subject to a container cgroup. However,
-application usage will not appear as anonymous memory usage, and will instead be
-accounted to the `memfd`. All anonymous memory will correspond to Sentry usage,
-and host memory charged to the container will work as standard.
-
-The cgroups can be monitored for standard signals: pressure indicators,
-threshold notifiers, etc. and can also be adjusted dynamically. Note that the
-Sentry itself may listen for pressure signals in its containing cgroup, in order
-to purge internal caches.
-
-[goroutine]: https://tour.golang.org/concurrency/1
-[greenthread]: https://en.wikipedia.org/wiki/Green_threads
-[scheduler]: https://morsmachine.dk/go-scheduler
-[vdso]: https://en.wikipedia.org/wiki/VDSO
-[rlimit]: http://man7.org/linux/man-pages/man2/getrlimit.2.html
-[tickless]: https://en.wikipedia.org/wiki/Tickless_kernel
-[memfd]: http://man7.org/linux/man-pages/man2/memfd_create.2.html
-[scmrights]: http://man7.org/linux/man-pages/man7/unix.7.html
-[madvise]: http://man7.org/linux/man-pages/man2/madvise.2.html
-[exec]: https://docs.docker.com/engine/reference/commandline/exec/
-[^1]: Unless host networking is enabled, the Sentry is not able to create or
- open host file descriptors itself, it can only receive them in this way
- from the Gofer.
diff --git a/g3doc/architecture_guide/resources.png b/g3doc/architecture_guide/resources.png
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diff --git a/g3doc/architecture_guide/security.md b/g3doc/architecture_guide/security.md
deleted file mode 100644
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+++ /dev/null
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-# Security Model
-
-[TOC]
-
-gVisor was created in order to provide additional defense against the
-exploitation of kernel bugs by untrusted userspace code. In order to understand
-how gVisor achieves this goal, it is first necessary to understand the basic
-threat model.
-
-## Threats: The Anatomy of an Exploit
-
-An exploit takes advantage of a software or hardware bug in order to escalate
-privileges, gain access to privileged data, or disrupt services. All of the
-possible interactions that a malicious application can have with the rest of the
-system (attack vectors) define the attack surface. We categorize these attack
-vectors into several common classes.
-
-### System API
-
-An operating system or hypervisor exposes an abstract System API in the form of
-system calls and traps. This API may be documented and stable, as with Linux, or
-it may be abstracted behind a library, as with Windows (i.e. win32.dll or
-ntdll.dll). The System API includes all standard interfaces that application
-code uses to interact with the system. This includes high-level abstractions
-that are derived from low-level system calls, such as system files, sockets and
-namespaces.
-
-Although the System API is exposed to applications by design, bugs and race
-conditions within the kernel or hypervisor may occasionally be exploitable via
-the API. This is common in part due to the fact that most kernels and
-hypervisors are written in [C][clang], which is well-suited to interfacing with
-hardware but often prone to security issues. In order to exploit these issues, a
-typical attack might involve some combination of the following:
-
-1. Opening or creating some combination of files, sockets or other descriptors.
-1. Passing crafted, malicious arguments, structures or packets.
-1. Racing with multiple threads in order to hit specific code paths.
-
-For example, for the [Dirty Cow][dirtycow] privilege escalation bug, an
-application would open a specific file in `/proc` or use a specific `ptrace`
-system call, and use multiple threads in order to trigger a race condition when
-touching a fresh page of memory. The attacker then gains control over a page of
-memory belonging to the system. With additional privileges or access to
-privileged data in the kernel, an attacker will often be able to employ
-additional techniques to gain full access to the rest of the system.
-
-While bugs in the implementation of the System API are readily fixed, they are
-also the most common form of exploit. The exposure created by this class of
-exploit is what gVisor aims to minimize and control, described in detail below.
-
-### System ABI
-
-Hardware and software exploits occasionally exist in execution paths that are
-not part of an intended System API. In this case, exploits may be found as part
-of implicit actions the hardware or privileged system code takes in response to
-certain events, such as traps or interrupts. For example, the recent
-[POPSS][popss] flaw required only native code execution (no specific system call
-or file access). In that case, the Xen hypervisor was similarly vulnerable,
-highlighting that hypervisors are not immune to this vector.
-
-### Side Channels
-
-Hardware side channels may be exploitable by any code running on a system:
-native, sandboxed, or virtualized. However, many host-level mitigations against
-hardware side channels are still effective with a sandbox. For example, kernels
-built with retpoline protect against some speculative execution attacks
-(Spectre) and frame poisoning may protect against L1 terminal fault (L1TF)
-attacks. Hypervisors may introduce additional complications in this regard, as
-there is no mitigation against an application in a normally functioning Virtual
-Machine (VM) exploiting the L1TF vulnerability for another VM on the sibling
-hyperthread.
-
-### Other Vectors
-
-The above categories in no way represent an exhaustive list of exploits, as we
-focus only on running untrusted code from within the operating system or
-hypervisor. We do not consider other ways that a more generic adversary may
-interact with a system, such as inserting a portable storage device with a
-malicious filesystem image, using a combination of crafted keyboard or touch
-inputs, or saturating a network device with ill-formed packets.
-
-Furthermore, high-level systems may contain exploitable components. An attacker
-need not escalate privileges within a container if there’s an exploitable
-network-accessible service on the host or some other API path. *A sandbox is not
-a substitute for a secure architecture*.
-
-## Goals: Limiting Exposure
-
-![Threat model](security.png "Threat model.")
-
-gVisor’s primary design goal is to minimize the System API attack vector through
-multiple layers of defense, while still providing a process model. There are two
-primary security principles that inform this design. First, the application’s
-direct interactions with the host System API are intercepted by the Sentry,
-which implements the System API instead. Second, the System API accessible to
-the Sentry itself is minimized to a safer, restricted set. The first principle
-minimizes the possibility of direct exploitation of the host System API by
-applications, and the second principle minimizes indirect exploitability, which
-is the exploitation by an exploited or buggy Sentry (e.g. chaining an exploit).
-
-The first principle is similar to the security basis for a Virtual Machine (VM).
-With a VM, an application’s interactions with the host are replaced by
-interactions with a guest operating system and a set of virtualized hardware
-devices. These hardware devices are then implemented via the host System API by
-a Virtual Machine Monitor (VMM). The Sentry similarly prevents direct
-interactions by providing its own implementation of the System API that the
-application must interact with. Applications are not able to directly craft
-specific arguments or flags for the host System API, or interact directly with
-host primitives.
-
-For both the Sentry and a VMM, it’s worth noting that while direct interactions
-are not possible, indirect interactions are still possible. For example, a read
-on a host-backed file in the Sentry may ultimately result in a host read system
-call (made by the Sentry, not by passing through arguments from the
-application), similar to how a read on a block device in a VM may result in the
-VMM issuing a corresponding host read system call from a backing file.
-
-An important distinction from a VM is that the Sentry implements a System API
-based directly on host System API primitives instead of relying on virtualized
-hardware and a guest operating system. This selects a distinct set of
-trade-offs, largely in the performance, efficiency and compatibility domains.
-Since transitions in and out of the sandbox are relatively expensive, a guest
-operating system will typically take ownership of resources. For example, in the
-above case, the guest operating system may read the block device data in a local
-page cache, to avoid subsequent reads. This may lead to better performance but
-lower efficiency, since memory may be wasted or duplicated. The Sentry opts
-instead to defer to the host for many operations during runtime, for improved
-efficiency but lower performance in some use cases.
-
-### What can a sandbox do?
-
-An application in a gVisor sandbox is permitted to do most things a standard
-container can do: for example, applications can read and write files mapped
-within the container, make network connections, etc. As described above,
-gVisor's primary goal is to limit exposure to bugs and exploits while still
-allowing most applications to run. Even so, gVisor will limit some operations
-that might be permitted with a standard container. Even with appropriate
-capabilities, a user in a gVisor sandbox will only be able to manipulate
-virtualized system resources (e.g. the system time, kernel settings or
-filesystem attributes) and not underlying host system resources.
-
-While the sandbox virtualizes many operations for the application, we limit the
-sandbox's own interactions with the host to the following high-level operations:
-
-1. Communicate with a Gofer process via a connected socket. The sandbox may
- receive new file descriptors from the Gofer process, corresponding to opened
- files. These files can then be read from and written to by the sandbox.
-1. Make a minimal set of host system calls. The calls do not include the
- creation of new sockets (unless host networking mode is enabled) or opening
- files. The calls include duplication and closing of file descriptors,
- synchronization, timers and signal management.
-1. Read and write packets to a virtual ethernet device. This is not required if
- host networking is enabled (or networking is disabled).
-
-### System ABI, Side Channels and Other Vectors
-
-gVisor relies on the host operating system and the platform for defense against
-hardware-based attacks. Given the nature of these vulnerabilities, there is
-little defense that gVisor can provide (there’s no guarantee that additional
-hardware measures, such as virtualization, memory encryption, etc. would
-actually decrease the attack surface). Note that this is true even when using
-hardware virtualization for acceleration, as the host kernel or hypervisor is
-ultimately responsible for defending against attacks from within malicious
-guests.
-
-gVisor similarly relies on the host resource mechanisms (cgroups) for defense
-against resource exhaustion and denial of service attacks. Network policy
-controls should be applied at the container level to ensure appropriate network
-policy enforcement. Note that the sandbox itself is not capable of altering or
-configuring these mechanisms, and the sandbox itself should make an attacker
-less likely to exploit or override these controls through other means.
-
-## Principles: Defense-in-Depth
-
-For gVisor development, there are several engineering principles that are
-employed in order to ensure that the system meets its design goals.
-
-1. No system call is passed through directly to the host. Every supported call
- has an independent implementation in the Sentry, that is unlikely to suffer
- from identical vulnerabilities that may appear in the host. This has the
- consequence that all kernel features used by applications require an
- implementation within the Sentry.
-1. Only common, universal functionality is implemented. Some filesystems,
- network devices or modules may expose specialized functionality to user
- space applications via mechanisms such as extended attributes, raw sockets
- or ioctls. Since the Sentry is responsible for implementing the full system
- call surface, we do not implement or pass through these specialized APIs.
-1. The host surface exposed to the Sentry is minimized. While the system call
- surface is not trivial, it is explicitly enumerated and controlled. The
- Sentry is not permitted to open new files, create new sockets or do many
- other interesting things on the host.
-
-Additionally, we have practical restrictions that are imposed on the project to
-minimize the risk of Sentry exploitability. For example:
-
-1. Unsafe code is carefully controlled. All unsafe code is isolated in files
- that end with "unsafe.go", in order to facilitate validation and auditing.
- No file without the unsafe suffix may import the unsafe package.
-1. No CGo is allowed. The Sentry must be a pure Go binary.
-1. External imports are not generally allowed within the core packages. Only
- limited external imports are used within the setup code. The code available
- inside the Sentry is carefully controlled, to ensure that the above rules
- are effective.
-
-Finally, we recognize that security is a process, and that vigilance is
-critical. Beyond our security disclosure process, the Sentry is fuzzed
-continuously to identify potential bugs and races proactively, and production
-crashes are recorded and triaged to similarly identify material issues.
-
-## FAQ
-
-### Is this more or less secure than a Virtual Machine?
-
-The security of a VM depends to a large extent on what is exposed from the host
-kernel and userspace support code. For example, device emulation code in the
-host kernel (e.g. APIC) or optimizations (e.g. vhost) can be more complex than a
-simple system call, and exploits carry the same risks. Similarly, the userspace
-support code is frequently unsandboxed, and exploits, while rare, may allow
-unfettered access to the system.
-
-Some platforms leverage the same virtualization hardware as VMs in order to
-provide better system call interception performance. However, gVisor does not
-implement any device emulation, and instead opts to use a sandboxed host System
-API directly. Both approaches significantly reduce the original attack surface.
-Ultimately, since gVisor is capable of using the same hardware mechanism, one
-should not assume that the mere use of virtualization hardware makes a system
-more or less secure, just as it would be a mistake to make the claim that the
-use of a unibody alone makes a car safe.
-
-### Does this stop hardware side channels?
-
-In general, gVisor does not provide protection against hardware side channels,
-although it may make exploits that rely on direct access to the host System API
-more difficult to use. To minimize exposure, you should follow relevant guidance
-from vendors and keep your host kernel and firmware up-to-date.
-
-### Is this just a ptrace sandbox?
-
-No: the term “ptrace sandbox” generally refers to software that uses the Linux
-ptrace facility to inspect and authorize system calls made by applications,
-enforcing a specific policy. These commonly suffer from two issues. First,
-vulnerable system calls may be authorized by the sandbox, as the application
-still has direct access to some System API. Second, it’s impossible to avoid
-time-of-check, time-of-use race conditions without disabling multi-threading.
-
-In gVisor, the platforms that use ptrace operate differently. The stubs that are
-traced are never allowed to continue execution into the host kernel and complete
-a call directly. Instead, all system calls are interpreted and handled by the
-Sentry itself, who reflects resulting register state back into the tracee before
-continuing execution in userspace. This is very similar to the mechanism used by
-User-Mode Linux (UML).
-
-[dirtycow]: https://en.wikipedia.org/wiki/Dirty_COW
-[clang]: https://en.wikipedia.org/wiki/C_(programming_language)
-[popss]: https://nvd.nist.gov/vuln/detail/CVE-2018-8897
diff --git a/g3doc/architecture_guide/security.png b/g3doc/architecture_guide/security.png
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- inkscape:label="Layer 1"
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- id="layer1"
- style="display:inline"
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- <g
- transform="translate(-131.49557,42.495842)"
- style="fill:#007200;fill-opacity:0.34351148;stroke:#00a500;stroke-width:1;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
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diff --git a/g3doc/community.md b/g3doc/community.md
deleted file mode 100644
index 76f4d87c3..000000000
--- a/g3doc/community.md
+++ /dev/null
@@ -1,31 +0,0 @@
-# Participation
-
-To contribute code, please read the [contributing guide](../CONTRIBUTING.md).
-
-Please note that the [Code of Conduct](../CODE_OF_CONDUCT.md) applies to
-community forums as well as technical participation.
-
-## Communication channels
-
-The project maintains two mailing lists:
-
-* [gvisor-users][gvisor-users] for accouncements and general discussion.
-* [gvisor-dev][gvisor-dev] for development and contribution.
-
-We also have a [chat room hosted on Gitter][gitter-chat].
-
-We'd love to hear from you!
-
-## Community meetings
-
-The community calendar shows upcoming public meetings and opportunities to
-collaborate or discuss the project. Meetings are planned and announced ahead of
-time via the [gvisor-users][gvisor-users] mailing list.
-
-These meetings are public: anyone can join.
-
-<iframe src="https://calendar.google.com/calendar/b/1/embed?showTitle=0&amp;height=600&amp;wkst=1&amp;bgcolor=%23FFFFFF&amp;src=bd6f4k210u3ukmlj9b8vl053fk%40group.calendar.google.com&amp;color=%23AB8B00&amp;ctz=America%2FLos_Angeles" style="border-width:0" width="600" height="400" frameborder="0" scrolling="no"></iframe>
-
-[gitter-chat]: https://gitter.im/gvisor/community
-[gvisor-dev]: https://groups.google.com/forum/#!forum/gvisor-dev
-[gvisor-users]: https://groups.google.com/forum/#!forum/gvisor-users
diff --git a/g3doc/logo.png b/g3doc/logo.png
deleted file mode 100644
index bd1a1e4b7..000000000
--- a/g3doc/logo.png
+++ /dev/null
Binary files differ
diff --git a/g3doc/logo.txt b/g3doc/logo.txt
deleted file mode 100644
index 92f9cad5f..000000000
--- a/g3doc/logo.txt
+++ /dev/null
@@ -1 +0,0 @@
-The gVisor logo files are licensed under CC BY-SA 4.0 (Creative Commons Attribution-ShareAlike 4.0 International).
diff --git a/g3doc/proposals/runtime_dedicate_os_thread.md b/g3doc/proposals/runtime_dedicate_os_thread.md
deleted file mode 100644
index dc70055b0..000000000
--- a/g3doc/proposals/runtime_dedicate_os_thread.md
+++ /dev/null
@@ -1,188 +0,0 @@
-# `runtime.DedicateOSThread`
-
-Status as of 2020-09-18: Deprioritized; initial studies in #2180 suggest that
-this may be difficult to support in the Go runtime due to issues with GC.
-
-## Summary
-
-Allow goroutines to bind to kernel threads in a way that allows their scheduling
-to be kernel-managed rather than runtime-managed.
-
-## Objectives
-
-* Reduce Go runtime overhead in the gVisor sentry (#2184).
-
-* Minimize intrusiveness of changes to the Go runtime.
-
-## Background
-
-In Go, execution contexts are referred to as goroutines, which the runtime calls
-Gs. The Go runtime maintains a variably-sized pool of threads (called Ms by the
-runtime) on which Gs are executed, as well as a pool of "virtual processors"
-(called Ps by the runtime) of size equal to `runtime.GOMAXPROCS()`. Usually,
-each M requires a P in order to execute Gs, limiting the number of concurrently
-executing goroutines to `runtime.GOMAXPROCS()`.
-
-The `runtime.LockOSThread` function temporarily locks the invoking goroutine to
-its current thread. It is primarily useful for interacting with OS or non-Go
-library facilities that are per-thread. It does not reduce interactions with the
-Go runtime scheduler: locked Ms relinquish their P when they become blocked, and
-only continue execution after another M "chooses" their locked G to run and
-donates their P to the locked M instead.
-
-## Problems
-
-### Context Switch Overhead
-
-Most goroutines in the gVisor sentry are task goroutines, which back application
-threads. Task goroutines spend large amounts of time blocked on syscalls that
-execute untrusted application code. When invoking said syscall (which varies by
-gVisor platform), the task goroutine may interact with the Go runtime in one of
-three ways:
-
-* It can invoke the syscall without informing the runtime. In this case, the
- task goroutine will continue to hold its P during the syscall, limiting the
- number of application threads that can run concurrently to
- `runtime.GOMAXPROCS()`. This is problematic because the Go runtime scheduler
- is known to scale poorly with `GOMAXPROCS`; see #1942 and
- https://github.com/golang/go/issues/28808. It also means that preemption of
- application threads must be driven by sentry or runtime code, which is
- strictly slower than kernel-driven preemption (since the sentry must invoke
- another syscall to preempt the application thread).
-
-* It can call `runtime.entersyscallblock` before invoking the syscall, and
- `runtime.exitsyscall` after the syscall returns. In this case, the task
- goroutine will release its P while the syscall is executing. This allows the
- number of threads concurrently executing application code to exceed
- `GOMAXPROCS`. However, this incurs additional latency on syscall entry (to
- hand off the released P to another M, often requiring a `futex(FUTEX_WAKE)`
- syscall) and on syscall exit (to acquire a new P). It also drastically
- increases the number of threads that concurrently interact with the runtime
- scheduler, which is also problematic for performance (both in terms of CPU
- utilization and in terms of context switch latency); see #205.
-
-- It can call `runtime.entersyscall` before invoking the syscall, and
- `runtime.exitsyscall` after the syscall returns. In this case, the task
- goroutine "lazily releases" its P, allowing the runtime's "sysmon" thread to
- steal it on behalf of another M after a 20us delay. This mitigates the
- context switch latency problem when there are few task goroutines and the
- interval between switches to application code (i.e. the interval between
- application syscalls, page faults, or signal delivery) is short. (Cynically,
- this means that it's most effective in microbenchmarks). However, the delay
- before a P is stolen can also be problematic for performance when there are
- both many task goroutines switching to application code (lazily releasing
- their Ps) *and* many task goroutines switching to sentry code (contending
- for Ps), which is likely in larger heterogeneous workloads.
-
-### Blocking Overhead
-
-Task goroutines block on behalf of application syscalls like `futex` and
-`epoll_wait` by receiving from a Go channel. (Future work may convert task
-goroutine blocking to use the `syncevent` package to avoid overhead associated
-with channels and `select`, but this does not change how blocking interacts with
-the Go runtime scheduler.)
-
-If `runtime.LockOSThread()` is not in effect when a task goroutine blocks, then
-when the task goroutine is unblocked (by e.g. an application `FUTEX_WAKE`,
-signal delivery, or a timeout) by sending to the blocked channel,
-`runtime.ready` migrates the unblocked G to the unblocking P. In most cases,
-this implies that every application thread block/unblock cycle results in a
-migration of the thread between Ps, and therefore Ms, and therefore cores,
-resulting in reduced application performance due to loss of CPU caches.
-Furthermore, in most cases, the unblocking P cannot immediately switch to the
-unblocked G (instead resuming execution of its current application thread after
-completing the application's `futex(FUTEX_WAKE)`, `tgkill`, etc. syscall), often
-requiring that another P steal the unblocked G before it can resume execution.
-
-If `runtime.LockOSThread()` is in effect when a task goroutine blocks, then the
-G will remain locked to its M, avoiding the core migration described above;
-however, wakeup latency is significantly increased since, as described in
-"Background", the G still needs to be selected by the scheduler before it can
-run, and the M that selects the G then needs to transfer its P to the locked M,
-incurring an additional `FUTEX_WAKE` syscall and round of kernel scheduling.
-
-## Proposal
-
-We propose to add a function, tentatively called `DedicateOSThread`, to the Go
-`runtime` package, documented as follows:
-
-```go
-// DedicateOSThread wires the calling goroutine to its current operating system
-// thread, and exempts it from counting against GOMAXPROCS. The calling
-// goroutine will always execute in that thread, and no other goroutine will
-// execute in it, until the calling goroutine has made as many calls to
-// UndedicateOSThread as to DedicateOSThread. If the calling goroutine exits
-// without unlocking the thread, the thread will be terminated.
-//
-// DedicateOSThread should only be used by long-lived goroutines that usually
-// block due to blocking system calls, rather than interaction with other
-// goroutines.
-func DedicateOSThread()
-```
-
-Mechanically, `DedicateOSThread` implies `LockOSThread` (i.e. it locks the
-invoking G to a M), but additionally locks the invoking M to a P. Ps locked by
-`DedicateOSThread` are not counted against `GOMAXPROCS`; that is, the actual
-number of Ps in the system (`len(runtime.allp)`) is `GOMAXPROCS` plus the number
-of bound Ps (plus some slack to avoid frequent changes to `runtime.allp`).
-Corollaries:
-
-* If `runtime.ready` observes that a readied G is locked to a M locked to a P,
- it immediately wakes the locked M without migrating the G to the readying P
- or waiting for a future call to `runtime.schedule` to select the readied G
- in `runtime.findrunnable`.
-
-* `runtime.stoplockedm` and `runtime.reentersyscall` skip the release of
- locked Ps; the latter also skips sysmon wakeup. `runtime.stoplockedm` and
- `runtime.exitsyscall` skip re-acquisition of Ps if one is locked.
-
-* sysmon does not attempt to preempt Gs that are locked to Ps, avoiding
- fruitless overhead from `tgkill` syscalls and signal delivery.
-
-* `runtime.findrunnable`'s work stealing skips locked Ps (suggesting that
- unlocked Ps be tracked in a separate array). `runtime.findrunnable` on
- locked Ps skip the global run queue, work stealing, and possibly netpoll.
-
-* New goroutines created by goroutines with locked Ps are enqueued on the
- global run queue rather than the invoking P's local run queue.
-
-While gVisor's use case does not strictly require that the association is
-reversible (with `runtime.UndedicateOSThread`), such a feature is required to
-allow reuse of locked Ms, which is likely to be critical for performance.
-
-## Alternatives Considered
-
-* Make the runtime scale well with `GOMAXPROCS`. While we are also
- concurrently investigating this problem, this would not address the issues
- of increased preemption cost or blocking overhead.
-
-* Make the runtime scale well with number of Ms. It is unclear if this is
- actually feasible, and would not address blocking overhead.
-
-* Make P-locking part of `LockOSThread`'s behavior. This would likely
- introduce performance regressions in existing uses of `LockOSThread` that do
- not fit this usage pattern. In particular, since `DedicateOSThread`
- transitions the invoker's P from "counted against `GOMAXPROCS`" to "not
- counted against `GOMAXPROCS`", it may need to wake another M to run a new P
- (that is counted against `GOMAXPROCS`), and the converse applies to
- `UndedicateOSThread`.
-
-* Rewrite the gVisor sentry in a language that does not force userspace
- scheduling. This is a last resort due to the amount of code involved.
-
-## Related Issues
-
-The proposed functionality is directly analogous to `spawn_blocking` in Rust
-async runtimes
-[`async_std`](https://docs.rs/async-std/1.8.0/async_std/task/fn.spawn_blocking.html)
-and [`tokio`](https://docs.rs/tokio/0.3.5/tokio/task/fn.spawn_blocking.html).
-
-Outside of gVisor:
-
-* https://github.com/golang/go/issues/21827#issuecomment-595152452 describes a
- use case for this feature in go-delve, where the goroutine that would use
- this feature spends much of its time blocked in `ptrace` syscalls.
-
-* This feature may improve performance in the use case described in
- https://github.com/golang/go/issues/18237, given the prominence of
- syscall.Syscall in the profile given in that bug report.
diff --git a/g3doc/roadmap.md b/g3doc/roadmap.md
deleted file mode 100644
index 06ea25a8b..000000000
--- a/g3doc/roadmap.md
+++ /dev/null
@@ -1,49 +0,0 @@
-# Roadmap
-
-gVisor [GitHub Issues][issues] serve as the source-of-truth for most work in
-flight. Specific performance and compatibility issues are generally tracked
-there. [GitHub Milestones][milestones] may be used to track larger features that
-span many issues. However, labels are also used to aggregate cross-cutting
-feature work.
-
-## Core Improvements
-
-Most gVisor work is focused on four areas.
-
-* [Performance][performance]: overall sandbox performance, including platform
- performance, is a critical area for investment. This includes: network
- performance (throughput and latency), file system performance (metadata and
- data I/O), application switch and fault costs, etc. The goal of gVisor is to
- provide sandboxing without a material performance or efficiency impact on
- all but the most performance-sensitive applications.
-
-* [Compatibility][compatibility]: supporting a wide range of applications
- requires supporting a large system API, including special system files (e.g.
- proc, sys, dev, etc.). The goal of gVisor is to support the broad set of
- applications that depend on a generic Linux API, rather than a specific
- kernel version.
-
-* [Infrastructure & tooling][infrastructure]: the above goals require
- aggressive testing and coverage, and well-established processes. This
- includes adding appropriate system call coverage, end-to-end suites and
- runtime tests.
-
-* [Integration][integration]: Container infrastructure is evolving rapidly and
- becoming more complex, and gVisor must continuously implement relevant and
- popular features to ensure that integration points remain robust and
- feature-complete while preserving security guarantees.
-
-## Releases
-
-Releases are available on [GitHub][releases].
-
-As a convenience, binary packages are also published. Instructions for their use
-are available via the [Installation instructions](./user_guide/install.md).
-
-[issues]: https://github.com/google/gvisor/issues
-[milestones]: https://github.com/google/gvisor/milestones
-[releases]: https://github.com/google/gvisor/releases
-[performance]: https://github.com/google/gvisor/issues?q=is%3Aopen+is%3Aissue+label%3A%22area%3A+performance%22
-[integration]: https://github.com/google/gvisor/issues?q=is%3Aopen+is%3Aissue+label%3A%22area%3A+integration%22
-[compatibility]: https://github.com/google/gvisor/issues?q=is%3Aopen+is%3Aissue+label%3A%22area%3A+compatibility%22
-[infrastructure]: https://github.com/google/gvisor/issues?q=is%3Aopen+is%3Aissue+label%3A%22area%3A+tooling%22
diff --git a/g3doc/style.md b/g3doc/style.md
deleted file mode 100644
index 8258b0233..000000000
--- a/g3doc/style.md
+++ /dev/null
@@ -1,97 +0,0 @@
-# Provisional style guide
-
-> These guidelines are new and may change. This note will be removed when
-> consensus is reached.
-
-Not all existing code will comply with this style guide, but new code should.
-Further, it is a goal to eventually update all existing code to be in
-compliance.
-
-## All code
-
-### Early exit
-
-All code, unless it substantially increases the line count or complexity, should
-use early exits from loops and functions where possible.
-
-## Go specific
-
-All Go code should comply with the [Go Code Review Comments][gostyle] and
-[Effective Go][effective_go] guides, as well as the additional guidelines
-described below.
-
-### Mutexes
-
-#### Naming
-
-Mutexes should be named mu or xxxMu. Mutexes as a general rule should not be
-exported. Instead, export methods which use the mutexes to avoid leaky
-abstractions.
-
-#### Location
-
-Mutexes should be sibling fields to the fields that they protect. Mutexes should
-not be declared as global variables, instead use a struct (anonymous ok, but
-naming conventions still apply).
-
-Mutexes should be ordered before the fields that they protect.
-
-#### Comments
-
-Mutexes should have a comment on their declaration explaining any ordering
-requirements (or pointing to where this information can be found), if
-applicable. There is no need for a comment explaining which fields are
-protected.
-
-Each field or variable protected by a mutex should state as such in a comment on
-the field or variable declaration.
-
-### Function comments
-
-Functions with special entry conditions (e.g., a lock must be held) should state
-these conditions in a `Preconditions:` comment block. One condition per line;
-multiple conditions are specified with a bullet (`*`).
-
-Functions with notable exit conditions (e.g., a `Done` function must eventually
-be called by the caller) can similarly have a `Postconditions:` block.
-
-### Unused returns
-
-Unused returns should be explicitly ignored with underscores. If there is a
-function which is commonly used without using its return(s), a wrapper function
-should be declared which explicitly ignores the returns. That said, in many
-cases, it may make sense for the wrapper to check the returns.
-
-### Formatting verbs
-
-Built-in types should use their associated verbs (e.g. %d for integral types),
-but other types should use a %v variant, even if they implement fmt.Stringer.
-The built-in `error` type should use %w when formatted with `fmt.Errorf`, but
-only then.
-
-### Wrapping
-
-Comments should be wrapped at 80 columns with a 2 space tab size.
-
-Code does not need to be wrapped, but if wrapping would make it more readable,
-it should be wrapped with each subcomponent of the thing being wrapped on its
-own line. For example, if a struct is split between lines, each field should be
-on its own line.
-
-#### Example
-
-```go
-_ = exec.Cmd{
- Path: "/foo/bar",
- Args: []string{"-baz"},
-}
-```
-
-## C++ specific
-
-C++ code should conform to the [Google C++ Style Guide][cppstyle] and the
-guidelines described for tests.
-
-[cppstyle]: https://google.github.io/styleguide/cppguide.html
-[gostyle]: https://github.com/golang/go/wiki/CodeReviewComments
-[effective_go]: https://golang.org/doc/effective_go.html
diff --git a/g3doc/user_guide/BUILD b/g3doc/user_guide/BUILD
deleted file mode 100644
index b69aee12c..000000000
--- a/g3doc/user_guide/BUILD
+++ /dev/null
@@ -1,70 +0,0 @@
-load("//website:defs.bzl", "doc")
-
-package(
- default_visibility = ["//website:__pkg__"],
- licenses = ["notice"],
-)
-
-doc(
- name = "compatibility",
- src = "compatibility.md",
- category = "Compatibility",
- permalink = "/docs/user_guide/compatibility/",
- weight = "0",
-)
-
-doc(
- name = "checkpoint_restore",
- src = "checkpoint_restore.md",
- category = "User Guide",
- permalink = "/docs/user_guide/checkpoint_restore/",
- weight = "60",
-)
-
-doc(
- name = "debugging",
- src = "debugging.md",
- category = "User Guide",
- permalink = "/docs/user_guide/debugging/",
- weight = "70",
-)
-
-doc(
- name = "FAQ",
- src = "FAQ.md",
- category = "User Guide",
- permalink = "/docs/user_guide/faq/",
- weight = "90",
-)
-
-doc(
- name = "filesystem",
- src = "filesystem.md",
- category = "User Guide",
- permalink = "/docs/user_guide/filesystem/",
- weight = "40",
-)
-
-doc(
- name = "networking",
- src = "networking.md",
- category = "User Guide",
- permalink = "/docs/user_guide/networking/",
- weight = "50",
-)
-
-doc(
- name = "install",
- src = "install.md",
- category = "User Guide",
- permalink = "/docs/user_guide/install/",
- weight = "10",
-)
-
-doc(
- name = "platforms",
- src = "platforms.md",
- category = "User Guide",
- permalink = "/docs/user_guide/platforms/",
- weight = "30",
-)
diff --git a/g3doc/user_guide/FAQ.md b/g3doc/user_guide/FAQ.md
deleted file mode 100644
index 8e5721ad1..000000000
--- a/g3doc/user_guide/FAQ.md
+++ /dev/null
@@ -1,152 +0,0 @@
-# FAQ
-
-[TOC]
-
-### What operating systems are supported? {#supported-os}
-
-Today, gVisor requires Linux.
-
-### What CPU architectures are supported? {#supported-cpus}
-
-gVisor currently supports [x86_64/AMD64](https://en.wikipedia.org/wiki/X86-64)
-compatible processors. Preliminary support is also available for
-[ARM64](https://en.wikipedia.org/wiki/ARM_architecture#AArch64).
-
-### Do I need to modify my Linux application to use gVisor? {#modify-app}
-
-No. gVisor is capable of running unmodified Linux binaries.
-
-### What binary formats does gVisor support? {#supported-binaries}
-
-gVisor supports Linux
-[ELF](https://en.wikipedia.org/wiki/Executable_and_Linkable_Format) binaries.
-
-Binaries run in gVisor should be built for the
-[AMD64](https://en.wikipedia.org/wiki/X86-64) or
-[AArch64](https://en.wikipedia.org/wiki/ARM_architecture#AArch64) CPU
-architectures.
-
-### Can I run Docker images using gVisor? {#docker-images}
-
-Yes. Please see the [Docker Quick Start][docker].
-
-### Can I run Kubernetes pods using gVisor? {#k8s-pods}
-
-Yes. Please see the [Kubernetes Quick Start][k8s].
-
-### What's the security model? {#security-model}
-
-See the [Security Model][security-model].
-
-## Troubleshooting
-
-### My container runs fine with `runc` but fails with `runsc` {#app-compatibility}
-
-If you’re having problems running a container with `runsc` it’s most likely due
-to a compatibility issue or a missing feature in gVisor. See
-[Debugging][debugging].
-
-### When I run my container, docker fails with: `open /run/containerd/.../<containerid>/log.json: no such file or directory` {#memfd-create}
-
-You are using an older version of Linux which doesn't support `memfd_create`.
-
-This is tracked in [bug #268](https://gvisor.dev/issue/268).
-
-### When I run my container, docker fails with: `flag provided but not defined: -console` {#old-docker}
-
-You're using an old version of Docker. See [Docker Quick Start][docker].
-
-### I can’t see a file copied with: `docker cp` {#fs-cache}
-
-For performance reasons, gVisor caches directory contents, and therefore it may
-not realize a new file was copied to a given directory. To invalidate the cache
-and force a refresh, create a file under the directory in question and list the
-contents again.
-
-As a workaround, shared root filesystem can be enabled. See
-[Filesystem][filesystem].
-
-This bug is tracked in [bug #4](https://gvisor.dev/issue/4).
-
-Note that `kubectl cp` works because it does the copy by exec'ing inside the
-sandbox, and thus gVisor's internal cache is made aware of the new files and
-directories.
-
-### I'm getting an error like: `panic: unable to attach: operation not permitted` or `fork/exec /proc/self/exe: invalid argument: unknown` {#runsc-perms}
-
-Make sure that permissions is correct on the `runsc` binary.
-
-```bash
-sudo chmod a+rx /usr/local/bin/runsc
-```
-
-### I'm getting an error like `mount submount "/etc/hostname": creating mount with source ".../hostname": input/output error: unknown.` {#memlock}
-
-There is a bug in Linux kernel versions 5.1 to 5.3.15, 5.4.2, and 5.5. Upgrade
-to a newer kernel or add the following to
-`/lib/systemd/system/containerd.service` as a workaround.
-
-```
-LimitMEMLOCK=infinity
-```
-
-And run `systemctl daemon-reload && systemctl restart containerd` to restart
-containerd.
-
-See [issue #1765](https://gvisor.dev/issue/1765) for more details.
-
-### I'm getting an error like `RuntimeHandler "runsc" not supported` {#runtime-handler}
-
-This error indicates that the Kubernetes CRI runtime was not set up to handle
-`runsc` as a runtime handler. Please ensure that containerd configuration has
-been created properly and containerd has been restarted. See the
-[containerd quick start](containerd/quick_start.md) for more details.
-
-If you have ensured that containerd has been set up properly and you used
-kubeadm to create your cluster please check if Docker is also installed on that
-system. Kubeadm prefers using Docker if both Docker and containerd are
-installed.
-
-Please recreate your cluster and set the `--cni-socket` option on kubeadm
-commands. For example:
-
-```bash
-kubeadm init --cni-socket=/var/run/containerd/containerd.sock ...
-```
-
-To fix an existing cluster edit the `/var/lib/kubelet/kubeadm-flags.env` file
-and set the `--container-runtime` flag to `remote` and set the
-`--container-runtime-endpoint` flag to point to the containerd socket. e.g.
-`/var/run/containerd/containerd.sock`.
-
-### My container cannot resolve another container's name when using Docker user defined bridge {#docker-bridge}
-
-This is normally indicated by errors like `bad address 'container-name'` when
-trying to communicate to another container in the same network.
-
-Docker user defined bridge uses an embedded DNS server bound to the loopback
-interface on address 127.0.0.10. This requires access to the host network in
-order to communicate to the DNS server. runsc network is isolated from the host
-and cannot access the DNS server on the host network without breaking the
-sandbox isolation. There are a few different workarounds you can try:
-
-* Use default bridge network with `--link` to connect containers. Default
- bridge doesn't use embedded DNS.
-* Use [`--network=host`][host-net] option in runsc, however beware that it
- will use the host network stack and is less secure.
-* Use IPs instead of container names.
-* Use [Kubernetes][k8s]. Container name lookup works fine in Kubernetes.
-
-### I'm getting an error like `dial unix /run/containerd/s/09e4...8cff: connect: connection refused: unknown` {#shim-connect}
-
-This error may happen when using `gvisor-containerd-shim` with a `containerd`
-that does not contain the fix for [CVE-2020-15257]. The resolve the issue,
-update containerd to 1.3.9 or 1.4.3 (or newer versions respectively).
-
-[security-model]: /docs/architecture_guide/security/
-[host-net]: /docs/user_guide/networking/#network-passthrough
-[debugging]: /docs/user_guide/debugging/
-[filesystem]: /docs/user_guide/filesystem/
-[docker]: /docs/user_guide/quick_start/docker/
-[k8s]: /docs/user_guide/quick_start/kubernetes/
-[CVE-2020-15257]: https://github.com/containerd/containerd/security/advisories/GHSA-36xw-fx78-c5r4
diff --git a/g3doc/user_guide/checkpoint_restore.md b/g3doc/user_guide/checkpoint_restore.md
deleted file mode 100644
index 0ab0911b0..000000000
--- a/g3doc/user_guide/checkpoint_restore.md
+++ /dev/null
@@ -1,101 +0,0 @@
-# Checkpoint/Restore
-
-[TOC]
-
-gVisor has the ability to checkpoint a process, save its current state in a
-state file, and restore into a new container using the state file.
-
-## How to use checkpoint/restore
-
-Checkpoint/restore functionality is currently available via raw `runsc`
-commands. To use the checkpoint command, first run a container.
-
-```bash
-runsc run <container id>
-```
-
-To checkpoint the container, the `--image-path` flag must be provided. This is
-the directory path within which the checkpoint state-file will be created. The
-file will be called `checkpoint.img` and necessary directories will be created
-if they do not yet exist.
-
-> Note: Two checkpoints cannot be saved to the same directory; every image-path
-> provided must be unique.
-
-```bash
-runsc checkpoint --image-path=<path> <container id>
-```
-
-There is also an optional `--leave-running` flag that allows the container to
-continue to run after the checkpoint has been made. (By default, containers stop
-their processes after committing a checkpoint.)
-
-> Note: All top-level runsc flags needed when calling run must be provided to
-> checkpoint if --leave-running is used.
-
-> Note: --leave-running functions by causing an immediate restore so the
-> container, although will maintain its given container id, may have a different
-> process id.
-
-```bash
-runsc checkpoint --image-path=<path> --leave-running <container id>
-```
-
-To restore, provide the image path to the `checkpoint.img` file created during
-the checkpoint. Because containers stop by default after checkpointing, restore
-needs to happen in a new container (restore is a command which parallels start).
-
-```bash
-runsc create <container id>
-
-runsc restore --image-path=<path> <container id>
-```
-
-## How to use checkpoint/restore in Docker:
-
-Currently checkpoint/restore through `runsc` is not entirely compatible with
-Docker, although there has been progress made from both gVisor and Docker to
-enable compatibility. Here, we document the ideal workflow.
-
-Run a container:
-
-```bash
-docker run [options] --runtime=runsc <image>`
-```
-
-Checkpoint a container:
-
-```bash
-docker checkpoint create <container> <checkpoint_name>`
-```
-
-Create a new container into which to restore:
-
-```bash
-docker create [options] --runtime=runsc <image>
-```
-
-Restore a container:
-
-```bash
-docker start --checkpoint --checkpoint-dir=<directory> <container>
-```
-
-### Issues Preventing Compatibility with Docker
-
-- **[Moby #37360][leave-running]:** Docker version 18.03.0-ce and earlier
- hangs when checkpointing and does not create the checkpoint. To successfully
- use this feature, install a custom version of docker-ce from the moby
- repository. This issue is caused by an improper implementation of the
- `--leave-running` flag. This issue is fixed in newer releases.
-- **Docker does not support restoration into new containers:** Docker
- currently expects the container which created the checkpoint to be the same
- container used to restore which is not possible in runsc. When Docker
- supports container migration and therefore restoration into new containers,
- this will be the flow.
-- **[Moby #37344][checkpoint-dir]:** Docker does not currently support the
- `--checkpoint-dir` flag but this will be required when restoring from a
- checkpoint made in another container.
-
-[leave-running]: https://github.com/moby/moby/pull/37360
-[checkpoint-dir]: https://github.com/moby/moby/issues/37344
diff --git a/g3doc/user_guide/compatibility.md b/g3doc/user_guide/compatibility.md
deleted file mode 100644
index 9d3e3680f..000000000
--- a/g3doc/user_guide/compatibility.md
+++ /dev/null
@@ -1,93 +0,0 @@
-# Applications
-
-[TOC]
-
-gVisor implements a large portion of the Linux surface and while we strive to
-make it broadly compatible, there are (and always will be) unimplemented
-features and bugs. The only real way to know if it will work is to try. If you
-find a container that doesn’t work and there is no known issue, please
-[file a bug][bug] indicating the full command you used to run the image. You can
-view open issues related to compatibility [here][issues].
-
-If you're able to provide the [debug logs](../debugging/), the problem likely to
-be fixed much faster.
-
-## What works?
-
-The following applications/images have been tested:
-
-* elasticsearch
-* golang
-* httpd
-* java8
-* jenkins
-* mariadb
-* memcached
-* mongo
-* mysql
-* nginx
-* node
-* php
-* postgres
-* prometheus
-* python
-* redis
-* registry
-* tomcat
-* wordpress
-
-## Utilities
-
-Most common utilities work. Note that:
-
-* Some tools, such as `tcpdump` and old versions of `ping`, require explicitly
- enabling raw sockets via the unsafe `--net-raw` runsc flag.
-* Different Docker images can behave differently. For example, Alpine Linux
- and Ubuntu have different `ip` binaries.
-
- Specific tools include:
-
-<!-- mdformat off(don't wrap the table) -->
-
-| Tool | Status |
-|:--------:|:-----------------------------------------:|
-| apt-get | Working. |
-| bundle | Working. |
-| cat | Working. |
-| curl | Working. |
-| dd | Working. |
-| df | Working. |
-| dig | Working. |
-| drill | Working. |
-| env | Working. |
-| find | Working. |
-| gdb | Working. |
-| gosu | Working. |
-| grep | Working (unless stdin is a pipe and stdout is /dev/null). |
-| ifconfig | Works partially, like ip. Full support [in progress](https://gvisor.dev/issue/578). |
-| ip | Some subcommands work (e.g. addr, route). Full support [in progress](https://gvisor.dev/issue/578). |
-| less | Working. |
-| ls | Working. |
-| lsof | Working. |
-| mount | Works in readonly mode. gVisor doesn't currently support creating new mounts at runtime. |
-| nc | Working. |
-| nmap | Not working. |
-| netstat | [In progress](https://gvisor.dev/issue/2112). |
-| nslookup | Working. |
-| ping | Working. |
-| ps | Working. |
-| route | Working. |
-| ss | [In progress](https://gvisor.dev/issue/2114). |
-| sshd | Partially working. Job control [in progress](https://gvisor.dev/issue/154). |
-| strace | Working. |
-| tar | Working. |
-| tcpdump | [In progress](https://gvisor.dev/issue/173). |
-| top | Working. |
-| uptime | Working. |
-| vim | Working. |
-| wget | Working. |
-
-<!-- mdformat on -->
-
-[bug]: https://github.com/google/gvisor/issues/new?title=Compatibility%20Issue:
-[issues]: https://github.com/google/gvisor/issues?q=is%3Aissue+is%3Aopen+label%3A%22area%3A+compatibility%22
diff --git a/g3doc/user_guide/containerd/BUILD b/g3doc/user_guide/containerd/BUILD
deleted file mode 100644
index 0ede4819c..000000000
--- a/g3doc/user_guide/containerd/BUILD
+++ /dev/null
@@ -1,33 +0,0 @@
-load("//website:defs.bzl", "doc")
-
-package(
- default_visibility = ["//website:__pkg__"],
- licenses = ["notice"],
-)
-
-doc(
- name = "quick_start",
- src = "quick_start.md",
- category = "User Guide",
- permalink = "/docs/user_guide/containerd/quick_start/",
- subcategory = "Containerd",
- weight = "10",
-)
-
-doc(
- name = "configuration",
- src = "configuration.md",
- category = "User Guide",
- permalink = "/docs/user_guide/containerd/configuration/",
- subcategory = "Containerd",
- weight = "90",
-)
-
-doc(
- name = "containerd_11",
- src = "containerd_11.md",
- category = "User Guide",
- include_in_menu = False,
- permalink = "/docs/user_guide/containerd/containerd_11/",
- subcategory = "Containerd",
-)
diff --git a/g3doc/user_guide/containerd/configuration.md b/g3doc/user_guide/containerd/configuration.md
deleted file mode 100644
index 011af3b10..000000000
--- a/g3doc/user_guide/containerd/configuration.md
+++ /dev/null
@@ -1,96 +0,0 @@
-# Containerd Advanced Configuration
-
-This document describes how to configure runtime options for
-`containerd-shim-runsc-v1`. You can find the installation instructions and
-minimal requirements in [Containerd Quick Start](./quick_start.md).
-
-## Shim Configuration
-
-The shim can be provided with a configuration file containing options to the
-shim itself as well as a set of flags to runsc. Here is a quick example:
-
-```shell
-cat <<EOF | sudo tee /etc/containerd/runsc.toml
-option = "value"
-[runsc_config]
- flag = "value"
-```
-
-The set of options that can be configured can be found in
-[options.go](https://cs.opensource.google/gvisor/gvisor/+/master:pkg/shim/options.go).
-Values under `[runsc_config]` can be used to set arbitrary flags to runsc.
-`flag = "value"` is converted to `--flag="value"` when runsc is invoked. Run
-`runsc flags` so see which flags are available
-
-Next, containerd needs to be configured to send the configuration file to the
-shim.
-
-### Containerd 1.3+
-
-Starting in 1.3, containerd supports a configurable `ConfigPath` in the runtime
-configuration. Here is an example:
-
-```shell
-cat <<EOF | sudo tee /etc/containerd/config.toml
-disabled_plugins = ["restart"]
-[plugins.cri.containerd.runtimes.runsc]
- runtime_type = "io.containerd.runsc.v1"
-[plugins.cri.containerd.runtimes.runsc.options]
- TypeUrl = "io.containerd.runsc.v1.options"
- ConfigPath = "/etc/containerd/runsc.toml"
-EOF
-```
-
-When you are done, restart containerd to pick up the changes.
-
-```shell
-sudo systemctl restart containerd
-```
-
-## Debug
-
-When `shim_debug` is enabled in `/etc/containerd/config.toml`, containerd will
-forward shim logs to its own log. You can additionally set `level = "debug"` to
-enable debug logs. To see the logs run `sudo journalctl -u containerd`. Here is
-a containerd configuration file that enables both options:
-
-```shell
-cat <<EOF | sudo tee /etc/containerd/config.toml
-disabled_plugins = ["restart"]
-[debug]
- level = "debug"
-[plugins.linux]
- shim_debug = true
-[plugins.cri.containerd.runtimes.runsc]
- runtime_type = "io.containerd.runsc.v1"
-[plugins.cri.containerd.runtimes.runsc.options]
- TypeUrl = "io.containerd.runsc.v1.options"
- ConfigPath = "/etc/containerd/runsc.toml"
-EOF
-```
-
-It can be hard to separate containerd messages from the shim's though. To create
-a log file dedicated to the shim, you can set the `log_path` and `log_level`
-values in the shim configuration file:
-
-- `log_path` is the directory where the shim logs will be created. `%ID%` is
- the path is replaced with the container ID.
-- `log_level` sets the logs level. It is normally set to "debug" as there is
- not much interesting happening with other log levels.
-
-### Example: Enable shim and gVisor debug logging
-
-gVisor debug logging can be enabled by setting the `debug` and `debug-log` flag.
-The shim will replace "%ID%" with the container ID, and "%COMMAND%" with the
-runsc command (run, boot, etc.) in the path of the `debug-log` flag.
-
-Find out more about debugging in the [debugging guide](../debugging.md).
-
-```shell
-cat <<EOF | sudo tee /etc/containerd/runsc.toml
-log_path = "/var/log/runsc/%ID%/shim.log"
-log_level = "debug"
-[runsc_config]
- debug = "true"
- debug-log = "/var/log/runsc/%ID%/gvisor.%COMMAND%.log"
-```
diff --git a/g3doc/user_guide/containerd/containerd_11.md b/g3doc/user_guide/containerd/containerd_11.md
deleted file mode 100644
index 200d3da76..000000000
--- a/g3doc/user_guide/containerd/containerd_11.md
+++ /dev/null
@@ -1,167 +0,0 @@
-# Older Versions (containerd 1.1)
-
-**WARNING: containerd 1.1 and shim v1 is no longer supported. The instructions
-below is kept just for reference in case you're dealing with an old version.
-It's highly recommended upgrading to the latest version.**
-
-This document describes how to install and run the `gvisor-containerd-shim`
-using the untrusted workload CRI extension. This requires `containerd` 1.1 or
-later.
-
-*Note: The untrusted workload CRI extension is deprecated by containerd and
-`gvisor-containerd-shim` is maintained on a best-effort basis. If you are using
-containerd 1.2+, please see the
-[containerd 1.2+ documentation](./quick_start.md) and use
-`containerd-shim-runsc-v1`.*
-
-## Requirements
-
-- **runsc** and **gvisor-containerd-shim**: See the
- [installation guide](/docs/user_guide/install/).
-- **containerd**: See the [containerd website](https://containerd.io/) for
- information on how to install containerd.
-
-## Configure containerd
-
-Create the configuration for the gvisor shim in
-`/etc/containerd/gvisor-containerd-shim.toml`:
-
-```shell
-cat <<EOF | sudo tee /etc/containerd/gvisor-containerd-shim.toml
-# This is the path to the default runc containerd-shim.
-runc_shim = "/usr/local/bin/containerd-shim"
-EOF
-```
-
-Update `/etc/containerd/config.toml`. Be sure to update the path to
-`gvisor-containerd-shim` and `runsc` if necessary:
-
-```shell
-cat <<EOF | sudo tee /etc/containerd/config.toml
-disabled_plugins = ["restart"]
-[plugins.linux]
- shim = "/usr/local/bin/gvisor-containerd-shim"
- shim_debug = true
-[plugins.cri.containerd.untrusted_workload_runtime]
- runtime_type = "io.containerd.runtime.v1.linux"
- runtime_engine = "/usr/local/bin/runsc"
- runtime_root = "/run/containerd/runsc"
-EOF
-```
-
-Restart `containerd`:
-
-```shell
-sudo systemctl restart containerd
-```
-
-## Usage
-
-You can run containers in gVisor via containerd's CRI.
-
-### Install crictl
-
-Download and install the `crictl` binary:
-
-```shell
-{
-wget https://github.com/kubernetes-sigs/cri-tools/releases/download/v1.13.0/crictl-v1.13.0-linux-amd64.tar.gz
-tar xf crictl-v1.13.0-linux-amd64.tar.gz
-sudo mv crictl /usr/local/bin
-}
-```
-
-Write the `crictl` configuration file:
-
-```shell
-cat <<EOF | sudo tee /etc/crictl.yaml
-runtime-endpoint: unix:///run/containerd/containerd.sock
-EOF
-```
-
-### Create the nginx Sandbox in gVisor
-
-Pull the nginx image:
-
-```shell
-sudo crictl pull nginx
-```
-
-Create the sandbox creation request:
-
-```shell
-cat <<EOF | tee sandbox.json
-{
- "metadata": {
- "name": "nginx-sandbox",
- "namespace": "default",
- "attempt": 1,
- "uid": "hdishd83djaidwnduwk28bcsb"
- },
- "annotations": {
- "io.kubernetes.cri.untrusted-workload": "true"
- },
- "linux": {
- },
- "log_directory": "/tmp"
-}
-EOF
-```
-
-Create the pod in gVisor:
-
-```shell
-SANDBOX_ID=$(sudo crictl runp sandbox.json)
-```
-
-### Run the nginx Container in the Sandbox
-
-Create the nginx container creation request:
-
-```shell
-cat <<EOF | tee container.json
-{
- "metadata": {
- "name": "nginx"
- },
- "image":{
- "image": "nginx"
- },
- "log_path":"nginx.0.log",
- "linux": {
- }
-}
-EOF
-```
-
-Create the nginx container:
-
-```shell
-CONTAINER_ID=$(sudo crictl create ${SANDBOX_ID} container.json sandbox.json)
-```
-
-Start the nginx container:
-
-```shell
-sudo crictl start ${CONTAINER_ID}
-```
-
-### Validate the container
-
-Inspect the created pod:
-
-```shell
-sudo crictl inspectp ${SANDBOX_ID}
-```
-
-Inspect the nginx container:
-
-```shell
-sudo crictl inspect ${CONTAINER_ID}
-```
-
-Verify that nginx is running in gVisor:
-
-```shell
-sudo crictl exec ${CONTAINER_ID} dmesg | grep -i gvisor
-```
diff --git a/g3doc/user_guide/containerd/quick_start.md b/g3doc/user_guide/containerd/quick_start.md
deleted file mode 100644
index 02e82eb32..000000000
--- a/g3doc/user_guide/containerd/quick_start.md
+++ /dev/null
@@ -1,180 +0,0 @@
-# Containerd Quick Start
-
-This document describes how to use `containerd-shim-runsc-v1` with the
-containerd runtime handler support on `containerd`.
-
-> ⚠️ NOTE: If you are using Kubernetes and set up your cluster using kubeadm you
-> may run into issues. See the [FAQ](../FAQ.md#runtime-handler) for details.
-
-## Requirements
-
-- **runsc** and **containerd-shim-runsc-v1**: See the
- [installation guide](/docs/user_guide/install/).
-- **containerd**: See the [containerd website](https://containerd.io/) for
- information on how to install containerd. **Minimal version supported: 1.3.9
- or 1.4.3.**
-
-## Configure containerd
-
-Update `/etc/containerd/config.toml`. Make sure `containerd-shim-runsc-v1` is in
-`${PATH}` or in the same directory as `containerd` binary.
-
-```shell
-cat <<EOF | sudo tee /etc/containerd/config.toml
-disabled_plugins = ["restart"]
-[plugins.linux]
- shim_debug = true
-[plugins.cri.containerd.runtimes.runsc]
- runtime_type = "io.containerd.runsc.v1"
-EOF
-```
-
-Restart `containerd`:
-
-```shell
-sudo systemctl restart containerd
-```
-
-## Usage
-
-You can run containers in gVisor via containerd's CRI.
-
-### Install crictl
-
-Download and install the `crictl` binary:
-
-```shell
-{
-wget https://github.com/kubernetes-sigs/cri-tools/releases/download/v1.13.0/crictl-v1.13.0-linux-amd64.tar.gz
-tar xf crictl-v1.13.0-linux-amd64.tar.gz
-sudo mv crictl /usr/local/bin
-}
-```
-
-Write the `crictl` configuration file:
-
-```shell
-cat <<EOF | sudo tee /etc/crictl.yaml
-runtime-endpoint: unix:///run/containerd/containerd.sock
-EOF
-```
-
-### Create the nginx sandbox in gVisor
-
-Pull the nginx image:
-
-```shell
-sudo crictl pull nginx
-```
-
-Create the sandbox creation request:
-
-```shell
-cat <<EOF | tee sandbox.json
-{
- "metadata": {
- "name": "nginx-sandbox",
- "namespace": "default",
- "attempt": 1,
- "uid": "hdishd83djaidwnduwk28bcsb"
- },
- "linux": {
- },
- "log_directory": "/tmp"
-}
-EOF
-```
-
-Create the pod in gVisor:
-
-```shell
-SANDBOX_ID=$(sudo crictl runp --runtime runsc sandbox.json)
-```
-
-### Run the nginx container in the sandbox
-
-Create the nginx container creation request:
-
-```shell
-cat <<EOF | tee container.json
-{
- "metadata": {
- "name": "nginx"
- },
- "image":{
- "image": "nginx"
- },
- "log_path":"nginx.0.log",
- "linux": {
- }
-}
-EOF
-```
-
-Create the nginx container:
-
-```shell
-CONTAINER_ID=$(sudo crictl create ${SANDBOX_ID} container.json sandbox.json)
-```
-
-Start the nginx container:
-
-```shell
-sudo crictl start ${CONTAINER_ID}
-```
-
-### Validate the container
-
-Inspect the created pod:
-
-```shell
-sudo crictl inspectp ${SANDBOX_ID}
-```
-
-Inspect the nginx container:
-
-```shell
-sudo crictl inspect ${CONTAINER_ID}
-```
-
-Verify that nginx is running in gVisor:
-
-```shell
-sudo crictl exec ${CONTAINER_ID} dmesg | grep -i gvisor
-```
-
-### Set up the Kubernetes RuntimeClass
-
-Install the RuntimeClass for gVisor:
-
-```shell
-cat <<EOF | kubectl apply -f -
-apiVersion: node.k8s.io/v1beta1
-kind: RuntimeClass
-metadata:
- name: gvisor
-handler: runsc
-EOF
-```
-
-Create a Pod with the gVisor RuntimeClass:
-
-```shell
-cat <<EOF | kubectl apply -f -
-apiVersion: v1
-kind: Pod
-metadata:
- name: nginx-gvisor
-spec:
- runtimeClassName: gvisor
- containers:
- - name: nginx
- image: nginx
-EOF
-```
-
-Verify that the Pod is running:
-
-```shell
-kubectl get pod nginx-gvisor -o wide
-```
diff --git a/g3doc/user_guide/debugging.md b/g3doc/user_guide/debugging.md
deleted file mode 100644
index 54fdce34f..000000000
--- a/g3doc/user_guide/debugging.md
+++ /dev/null
@@ -1,141 +0,0 @@
-# Debugging
-
-[TOC]
-
-To enable debug and system call logging, add the `runtimeArgs` below to your
-[Docker](../quick_start/docker/) configuration (`/etc/docker/daemon.json`):
-
-```json
-{
- "runtimes": {
- "runsc": {
- "path": "/usr/local/bin/runsc",
- "runtimeArgs": [
- "--debug-log=/tmp/runsc/",
- "--debug",
- "--strace"
- ]
- }
- }
-}
-```
-
-> Note: the last `/` in `--debug-log` is needed to interpret it as a directory.
-> Then each `runsc` command executed will create a separate log file. Otherwise,
-> log messages from all commands will be appended to the same file.
-
-You may also want to pass `--log-packets` to troubleshoot network problems. Then
-restart the Docker daemon:
-
-```bash
-sudo systemctl restart docker
-```
-
-Run your container again, and inspect the files under `/tmp/runsc`. The log file
-ending with `.boot` will contain the strace logs from your application, which
-can be useful for identifying missing or broken system calls in gVisor. If you
-are having problems starting the container, the log file ending with `.create`
-may have the reason for the failure.
-
-## Stack traces
-
-The command `runsc debug --stacks` collects stack traces while the sandbox is
-running which can be useful to troubleshoot issues or just to learn more about
-gVisor. It connects to the sandbox process, collects a stack dump, and writes it
-to the console. For example:
-
-```bash
-docker run --runtime=runsc --rm -d alpine sh -c "while true; do echo running; sleep 1; done"
-63254c6ab3a6989623fa1fb53616951eed31ac605a2637bb9ddba5d8d404b35b
-
-sudo runsc --root /var/run/docker/runtime-runsc/moby debug --stacks 63254c6ab3a6989623fa1fb53616951eed31ac605a2637bb9ddba5d8d404b35b
-```
-
-> Note: `--root` variable is provided by docker and is normally set to
-> `/var/run/docker/runtime-[runtime-name]/moby`. If in doubt, `--root` is logged
-> to `runsc` logs.
-
-## Debugger
-
-You can debug gVisor like any other Golang program. If you're running with
-Docker, you'll need to find the sandbox PID and attach the debugger as root.
-Here is an example:
-
-```bash
-# Get a runsc with debug symbols (download nightly or build with symbols).
-bazel build -c dbg //runsc:runsc
-
-# Start the container you want to debug.
-docker run --runtime=runsc --rm --name=test -d alpine sleep 1000
-
-# Find the sandbox PID.
-docker inspect test | grep Pid | head -n 1
-
-# Attach your favorite debugger.
-sudo dlv attach <PID>
-
-# Set a breakpoint and resume.
-break mm.MemoryManager.MMap
-continue
-```
-
-## Profiling
-
-`runsc` integrates with Go profiling tools and gives you easy commands to
-profile CPU and heap usage. First you need to enable `--profile` in the command
-line options before starting the container:
-
-```json
-{
- "runtimes": {
- "runsc-prof": {
- "path": "/usr/local/bin/runsc",
- "runtimeArgs": [
- "--profile"
- ]
- }
- }
-}
-```
-
-> Note: Enabling profiling loosens the seccomp protection added to the sandbox,
-> and should not be run in production under normal circumstances.
-
-Then restart docker to refresh the runtime options. While the container is
-running, execute `runsc debug` to collect profile information and save to a
-file. Here are the options available:
-
-* **--profile-heap:** Generates heap profile to the speficied file.
-* **--profile-cpu:** Enables CPU profiler, waits for `--duration` seconds and
- generates CPU profile to the speficied file.
-
-For example:
-
-```bash
-docker run --runtime=runsc-prof --rm -d alpine sh -c "while true; do echo running; sleep 1; done"
-63254c6ab3a6989623fa1fb53616951eed31ac605a2637bb9ddba5d8d404b35b
-
-sudo runsc --root /var/run/docker/runtime-runsc-prof/moby debug --profile-heap=/tmp/heap.prof 63254c6ab3a6989623fa1fb53616951eed31ac605a2637bb9ddba5d8d404b35b
-sudo runsc --root /var/run/docker/runtime-runsc-prof/moby debug --profile-cpu=/tmp/cpu.prof --duration=30s 63254c6ab3a6989623fa1fb53616951eed31ac605a2637bb9ddba5d8d404b35b
-```
-
-The resulting files can be opened using `go tool pprof` or [pprof][]. The
-examples below create image file (`.svg`) with the heap profile and writes the
-top functions using CPU to the console:
-
-```bash
-go tool pprof -svg /usr/local/bin/runsc /tmp/heap.prof
-go tool pprof -top /usr/local/bin/runsc /tmp/cpu.prof
-```
-
-[pprof]: https://github.com/google/pprof/blob/master/doc/README.md
-
-### Docker Proxy
-
-When forwarding a port to the container, Docker will likely route traffic
-through the [docker-proxy][]. This proxy may make profiling noisy, so it can be
-helpful to bypass it. Do so by sending traffic directly to the container IP and
-port. e.g., if the `docker0` IP is `192.168.9.1`, the container IP is likely a
-subsequent IP, such as `192.168.9.2`.
-
-[docker-proxy]: https://windsock.io/the-docker-proxy/
diff --git a/g3doc/user_guide/filesystem.md b/g3doc/user_guide/filesystem.md
deleted file mode 100644
index cd00762dd..000000000
--- a/g3doc/user_guide/filesystem.md
+++ /dev/null
@@ -1,60 +0,0 @@
-# Filesystem
-
-[TOC]
-
-gVisor accesses the filesystem through a file proxy, called the Gofer. The gofer
-runs as a separate process, that is isolated from the sandbox. Gofer instances
-communicate with their respective sentry using the 9P protocol. For another
-explanation see [What is gVisor?](../README.md).
-
-## Sandbox overlay
-
-To isolate the host filesystem from the sandbox, you can set a writable tmpfs
-overlay on top of the entire filesystem. All modifications are made to the
-overlay, keeping the host filesystem unmodified.
-
-> Note: All created and modified files are stored in memory inside the sandbox.
-
-To use the tmpfs overlay, add the following `runtimeArgs` to your Docker
-configuration (`/etc/docker/daemon.json`) and restart the Docker daemon:
-
-```json
-{
- "runtimes": {
- "runsc": {
- "path": "/usr/local/bin/runsc",
- "runtimeArgs": [
- "--overlay"
- ]
- }
- }
-}
-```
-
-## Shared root filesystem
-
-The root filesystem is where the image is extracted and is not generally
-modified from outside the sandbox. This allows for some optimizations, like
-skipping checks to determine if a directory has changed since the last time it
-was cached, thus missing updates that may have happened. If you need to `docker
-cp` files inside the root filesystem, you may want to enable shared mode. Just
-be aware that file system access will be slower due to the extra checks that are
-required.
-
-> Note: External mounts are always shared.
-
-To use set the root filesystem shared, add the following `runtimeArgs` to your
-Docker configuration (`/etc/docker/daemon.json`) and restart the Docker daemon:
-
-```json
-{
- "runtimes": {
- "runsc": {
- "path": "/usr/local/bin/runsc",
- "runtimeArgs": [
- "--file-access=shared"
- ]
- }
- }
-}
-```
diff --git a/g3doc/user_guide/install.md b/g3doc/user_guide/install.md
deleted file mode 100644
index ad0ab9923..000000000
--- a/g3doc/user_guide/install.md
+++ /dev/null
@@ -1,174 +0,0 @@
-# Installation
-
-[TOC]
-
-> Note: gVisor supports only x86\_64 and requires Linux 4.14.77+
-> ([older Linux](./networking.md#gso)).
-
-## Install latest release {#install-latest}
-
-To download and install the latest release manually follow these steps:
-
-```bash
-(
- set -e
- ARCH=$(uname -m)
- URL=https://storage.googleapis.com/gvisor/releases/release/latest/${ARCH}
- wget ${URL}/runsc ${URL}/runsc.sha512 \
- ${URL}/containerd-shim-runsc-v1 ${URL}/containerd-shim-runsc-v1.sha512
- sha512sum -c runsc.sha512 \
- -c containerd-shim-runsc-v1.sha512
- rm -f *.sha512
- chmod a+rx runsc containerd-shim-runsc-v1
- sudo mv runsc containerd-shim-runsc-v1 /usr/local/bin
-)
-```
-
-To install gVisor as a Docker runtime, run the following commands:
-
-```bash
-/usr/local/bin/runsc install
-sudo systemctl reload docker
-docker run --rm --runtime=runsc hello-world
-```
-
-For more details about using gVisor with Docker, see
-[Docker Quick Start](./quick_start/docker.md)
-
-Note: It is important to copy `runsc` to a location that is readable and
-executable to all users, since `runsc` executes itself as user `nobody` to avoid
-unnecessary privileges. The `/usr/local/bin` directory is a good place to put
-the `runsc` binary.
-
-## Install from an `apt` repository
-
-First, appropriate dependencies must be installed to allow `apt` to install
-packages via https:
-
-```bash
-sudo apt-get update && \
-sudo apt-get install -y \
- apt-transport-https \
- ca-certificates \
- curl \
- gnupg-agent \
- software-properties-common
-```
-
-Next, the configure the key used to sign archives and the repository:
-
-```bash
-curl -fsSL https://gvisor.dev/archive.key | sudo apt-key add -
-sudo add-apt-repository "deb https://storage.googleapis.com/gvisor/releases release main"
-```
-
-Now the runsc package can be installed:
-
-```bash
-sudo apt-get update && sudo apt-get install -y runsc
-```
-
-If you have Docker installed, it will be automatically configured.
-
-## Versions
-
-The `runsc` binaries and repositories are available in multiple versions and
-release channels. You should pick the version you'd like to install. For
-experimentation, the nightly release is recommended. For production use, the
-latest release is recommended.
-
-After selecting an appropriate release channel from the options below, proceed
-to the preferred installation mechanism: manual or from an `apt` repository.
-
-> Note: Older releases are still available but may not have an `${ARCH}`
-> component in the URL. These release were available for `x86_64` only.
-
-### HEAD
-
-Binaries are available for every commit on the `master` branch, and are
-available at the following URL:
-
-`https://storage.googleapis.com/gvisor/releases/master/latest/${ARCH}`
-
-You can use this link with the steps described in
-[Install latest release](#install-latest).
-
-For `apt` installation, use the `master` to configure the repository:
-
-```bash
-sudo add-apt-repository "deb https://storage.googleapis.com/gvisor/releases master main"
-```
-
-### Nightly
-
-Nightly releases are built most nights from the master branch, and are available
-at the following URL:
-
-`https://storage.googleapis.com/gvisor/releases/nightly/latest/${ARCH}`
-
-You can use this link with the steps described in
-[Install latest release](#install-latest).
-
-Specific nightly releases can be found at:
-
-`https://storage.googleapis.com/gvisor/releases/nightly/${yyyy-mm-dd}/${ARCH}`
-
-Note that a release may not be available for every day.
-
-For `apt` installation, use the `nightly` to configure the repository:
-
-```bash
-sudo add-apt-repository "deb https://storage.googleapis.com/gvisor/releases nightly main"
-```
-
-### Latest release
-
-The latest official release is available at the following URL:
-
-`https://storage.googleapis.com/gvisor/releases/release/latest/${ARCH}`
-
-You can use this link with the steps described in
-[Install latest release](#install-latest).
-
-For `apt` installation, use the `release` to configure the repository:
-
-```bash
-sudo add-apt-repository "deb https://storage.googleapis.com/gvisor/releases release main"
-```
-
-### Specific release
-
-A given release release is available at the following URL:
-
-`https://storage.googleapis.com/gvisor/releases/release/${yyyymmdd}/${ARCH}`
-
-You can use this link with the steps described in
-[Install latest release](#install-latest).
-
-See the [releases](https://github.com/google/gvisor/releases) page for
-information about specific releases.
-
-For `apt` installation of a specific release, which may include point updates,
-use the date of the release for repository, e.g. `${yyyymmdd}`.
-
-```bash
-sudo add-apt-repository "deb https://storage.googleapis.com/gvisor/releases yyyymmdd main"
-```
-
-> Note: only newer releases may be available as `apt` repositories.
-
-### Point release
-
-A given point release is available at the following URL:
-
-`https://storage.googleapis.com/gvisor/releases/release/${yyyymmdd}.${rc}/${ARCH}`
-
-You can use this link with the steps described in
-[Install latest release](#install-latest).
-
-Note that `apt` installation of a specific point release is not supported.
-
-After installation, try out `runsc` by following the
-[Docker Quick Start](./quick_start/docker.md),
-[Containerd QuickStart](./containerd/quick_start.md), or
-[OCI Quick Start](./quick_start/oci.md).
diff --git a/g3doc/user_guide/networking.md b/g3doc/user_guide/networking.md
deleted file mode 100644
index 95f675633..000000000
--- a/g3doc/user_guide/networking.md
+++ /dev/null
@@ -1,84 +0,0 @@
-# Networking
-
-[TOC]
-
-gVisor implements its own network stack called netstack. All aspects of the
-network stack are handled inside the Sentry — including TCP connection state,
-control messages, and packet assembly — keeping it isolated from the host
-network stack. Data link layer packets are written directly to the virtual
-device inside the network namespace setup by Docker or Kubernetes.
-
-The IP address and routes configured for the device are transferred inside the
-sandbox. The loopback device runs exclusively inside the sandbox and does not
-use the host. You can inspect them by running:
-
-```bash
-docker run --rm --runtime=runsc alpine ip addr
-```
-
-## Network passthrough
-
-For high-performance networking applications, you may choose to disable the user
-space network stack and instead use the host network stack, including the
-loopback. Note that this mode decreases the isolation to the host.
-
-Add the following `runtimeArgs` to your Docker configuration
-(`/etc/docker/daemon.json`) and restart the Docker daemon:
-
-```json
-{
- "runtimes": {
- "runsc": {
- "path": "/usr/local/bin/runsc",
- "runtimeArgs": [
- "--network=host"
- ]
- }
- }
-}
-```
-
-## Disabling external networking
-
-To completely isolate the host and network from the sandbox, external networking
-can be disabled. The sandbox will still contain a loopback provided by netstack.
-
-Add the following `runtimeArgs` to your Docker configuration
-(`/etc/docker/daemon.json`) and restart the Docker daemon:
-
-```json
-{
- "runtimes": {
- "runsc": {
- "path": "/usr/local/bin/runsc",
- "runtimeArgs": [
- "--network=none"
- ]
- }
- }
-}
-```
-
-### Disable GSO {#gso}
-
-If your Linux is older than 4.14.17, you can disable Generic Segmentation
-Offload (GSO) to run with a kernel that is newer than 3.17. Add the
-`--gso=false` flag to your Docker runtime configuration
-(`/etc/docker/daemon.json`) and restart the Docker daemon:
-
-> Note: Network performance, especially for large payloads, will be greatly
-> reduced.
-
-```json
-{
- "runtimes": {
- "runsc": {
- "path": "/usr/local/bin/runsc",
- "runtimeArgs": [
- "--gso=false"
- ]
- }
- }
-}
-```
-
diff --git a/g3doc/user_guide/platforms.md b/g3doc/user_guide/platforms.md
deleted file mode 100644
index 752025881..000000000
--- a/g3doc/user_guide/platforms.md
+++ /dev/null
@@ -1,95 +0,0 @@
-# Changing Platforms
-
-[TOC]
-
-This guide described how to change the
-[platform](../architecture_guide/platforms.md) used by `runsc`.
-
-## Prerequisites
-
-If you intend to run the KVM platform, you will also to have KVM installed on
-your system. If you are running a Debian based system like Debian or Ubuntu you
-can usually do this by ensuring the module is loaded, and permissions are
-appropriately set on the `/dev/kvm` device.
-
-If you have an Intel CPU:
-
-```bash
-sudo modprobe kvm-intel && sudo chmod a+rw /dev/kvm
-```
-
-If you have an AMD CPU:
-
-```bash
-sudo modprobe kvm-amd && sudo chmod a+rw /dev/kvm
-```
-
-If you are using a virtual machine you will need to make sure that nested
-virtualization is configured. Here are links to documents on how to set up
-nested virtualization in several popular environments:
-
-* Google Cloud: [Enabling Nested Virtualization for VM Instances][nested-gcp]
-* Microsoft Azure:
- [How to enable nested virtualization in an Azure VM][nested-azure]
-* VirtualBox: [Nested Virtualization][nested-virtualbox]
-* KVM: [Nested Guests][nested-kvm]
-
-***Note: nested virtualization will have poor performance and is historically a
-cause of security issues (e.g.
-[CVE-2018-12904](https://nvd.nist.gov/vuln/detail/CVE-2018-12904)). It is not
-recommended for production.***
-
-## Configuring Docker
-
-The platform is selected by the `--platform` command line flag passed to
-`runsc`. By default, the ptrace platform is selected. For example, to select the
-KVM platform, modify your Docker configuration (`/etc/docker/daemon.json`) to
-pass the `--platform` argument:
-
-```json
-{
- "runtimes": {
- "runsc": {
- "path": "/usr/local/bin/runsc",
- "runtimeArgs": [
- "--platform=kvm"
- ]
- }
- }
-}
-```
-
-You must restart the Docker daemon after making changes to this file, typically
-this is done via `systemd`:
-
-```bash
-sudo systemctl restart docker
-```
-
-Note that you may configure multiple runtimes using different platforms. For
-example, the following configuration has one configuration for ptrace and one
-for the KVM platform:
-
-```json
-{
- "runtimes": {
- "runsc-ptrace": {
- "path": "/usr/local/bin/runsc",
- "runtimeArgs": [
- "--platform=ptrace"
- ]
- },
- "runsc-kvm": {
- "path": "/usr/local/bin/runsc",
- "runtimeArgs": [
- "--platform=kvm"
- ]
- }
- }
-}
-```
-
-[nested-azure]: https://docs.microsoft.com/en-us/azure/virtual-machines/windows/nested-virtualization
-[nested-gcp]: https://cloud.google.com/compute/docs/instances/enable-nested-virtualization-vm-instances
-[nested-virtualbox]: https://www.virtualbox.org/manual/UserManual.html#nested-virt
-[nested-kvm]: https://www.linux-kvm.org/page/Nested_Guests
diff --git a/g3doc/user_guide/quick_start/BUILD b/g3doc/user_guide/quick_start/BUILD
deleted file mode 100644
index 63f17f9cb..000000000
--- a/g3doc/user_guide/quick_start/BUILD
+++ /dev/null
@@ -1,33 +0,0 @@
-load("//website:defs.bzl", "doc")
-
-package(
- default_visibility = ["//website:__pkg__"],
- licenses = ["notice"],
-)
-
-doc(
- name = "docker",
- src = "docker.md",
- category = "User Guide",
- permalink = "/docs/user_guide/quick_start/docker/",
- subcategory = "Quick Start",
- weight = "11",
-)
-
-doc(
- name = "oci",
- src = "oci.md",
- category = "User Guide",
- permalink = "/docs/user_guide/quick_start/oci/",
- subcategory = "Quick Start",
- weight = "12",
-)
-
-doc(
- name = "kubernetes",
- src = "kubernetes.md",
- category = "User Guide",
- permalink = "/docs/user_guide/quick_start/kubernetes/",
- subcategory = "Quick Start",
- weight = "13",
-)
diff --git a/g3doc/user_guide/quick_start/docker.md b/g3doc/user_guide/quick_start/docker.md
deleted file mode 100644
index ee842e453..000000000
--- a/g3doc/user_guide/quick_start/docker.md
+++ /dev/null
@@ -1,99 +0,0 @@
-# Docker Quick Start
-
-> Note: This guide requires Docker version 17.09.0 or greater. Refer to the
-> [Docker documentation][docker] for how to install it.
-
-This guide will help you quickly get started running Docker containers using
-gVisor.
-
-First, follow the [Installation guide][install].
-
-If you use the `apt` repository or the `automated` install, then you can skip
-the next section and proceed straight to running a container.
-
-## Configuring Docker
-
-First you will need to configure Docker to use `runsc` by adding a runtime entry
-to your Docker configuration (e.g. `/etc/docker/daemon.json`). The easiest way
-to this is via the `runsc install` command. This will install a docker runtime
-named "runsc" by default.
-
-```bash
-sudo runsc install
-```
-
-You must restart the Docker daemon after installing the runtime. Typically this
-is done via `systemd`:
-
-```bash
-sudo systemctl restart docker
-```
-
-## Running a container
-
-Now run your container using the `runsc` runtime:
-
-```bash
-docker run --runtime=runsc --rm hello-world
-```
-
-You can also run a terminal to explore the container.
-
-```bash
-docker run --runtime=runsc --rm -it ubuntu /bin/bash
-```
-
-Many docker options are compatible with gVisor, try them out. Here is an
-example:
-
-```bash
-docker run --runtime=runsc --rm --link backend:database -v ~/bin:/tools:ro -p 8080:80 --cpus=0.5 -it busybox telnet towel.blinkenlights.nl
-```
-
-## Verify the runtime
-
-You can verify that you are running in gVisor using the `dmesg` command.
-
-```text
-$ docker run --runtime=runsc -it ubuntu dmesg
-[ 0.000000] Starting gVisor...
-[ 0.354495] Daemonizing children...
-[ 0.564053] Constructing home...
-[ 0.976710] Preparing for the zombie uprising...
-[ 1.299083] Creating process schedule...
-[ 1.479987] Committing treasure map to memory...
-[ 1.704109] Searching for socket adapter...
-[ 1.748935] Generating random numbers by fair dice roll...
-[ 2.059747] Digging up root...
-[ 2.259327] Checking naughty and nice process list...
-[ 2.610538] Rewriting operating system in Javascript...
-[ 2.613217] Ready!
-```
-
-Note that this is easily replicated by an attacker so applications should never
-use `dmesg` to verify the runtime in a security sensitive context.
-
-## Options
-
-You may also wish to install a runtime entry with different options. The `runsc
-install` command can accept flags that will be passed to the runtime when it is
-invoked by Docker. For example, to install a runtime with debugging enabled, run
-the following:
-
-```bash
-sudo runsc install --runtime runsc-debug -- \
- --debug \
- --debug-log=/tmp/runsc-debug.log \
- --strace \
- --log-packets
-```
-
-Next, look at the different options available for gVisor: [platform][platforms],
-[network][networking], [filesystem][filesystem].
-
-[docker]: https://docs.docker.com/install/
-[storage-driver]: https://docs.docker.com/engine/reference/commandline/dockerd/#daemon-storage-driver
-[install]: /docs/user_guide/install/
-[filesystem]: /docs/user_guide/filesystem/
-[networking]: /docs/user_guide/networking/
-[platforms]: /docs/user_guide/platforms/
diff --git a/g3doc/user_guide/quick_start/kubernetes.md b/g3doc/user_guide/quick_start/kubernetes.md
deleted file mode 100644
index 395cd4b71..000000000
--- a/g3doc/user_guide/quick_start/kubernetes.md
+++ /dev/null
@@ -1,34 +0,0 @@
-# Kubernetes Quick Start
-
-gVisor can be used to run Kubernetes pods and has several integration points
-with Kubernetes.
-
-## Using Minikube
-
-gVisor can run sandboxed containers in a Kubernetes cluster with Minikube. After
-the gVisor addon is enabled, pods with a `gvisor` [Runtime Class][runtimeclass]
-set to true will execute with `runsc`. Follow [these instructions][minikube] to
-enable gVisor addon.
-
-## Using Containerd
-
-You can also setup Kubernetes nodes to run pods in gVisor using
-[containerd][containerd] and the gVisor containerd shim. You can find
-instructions in the [Containerd Quick Start][gvisor-containerd].
-
-## Using GKE Sandbox
-
-[GKE Sandbox][gke-sandbox] is available in [Google Kubernetes Engine][gke]. You
-just need to deploy a node pool with gVisor enabled in your cluster, and it will
-run pods annotated with `runtimeClassName: gvisor` inside a gVisor sandbox for
-you. [Here][wordpress-quick] is a quick example showing how to deploy a
-WordPress site. You can view the full documentation [here][gke-sandbox-docs].
-
-[containerd]: https://containerd.io/
-[minikube]: https://github.com/kubernetes/minikube/blob/master/deploy/addons/gvisor/README.md
-[gke]: https://cloud.google.com/kubernetes-engine/
-[gke-sandbox]: https://cloud.google.com/kubernetes-engine/sandbox/
-[gke-sandbox-docs]: https://cloud.google.com/kubernetes-engine/docs/how-to/sandbox-pods
-[gvisor-containerd]: /docs/user_guide/containerd/quick_start/
-[runtimeclass]: https://kubernetes.io/docs/concepts/containers/runtime-class/
-[wordpress-quick]: /docs/tutorials/kubernetes/
diff --git a/g3doc/user_guide/quick_start/oci.md b/g3doc/user_guide/quick_start/oci.md
deleted file mode 100644
index e7768946b..000000000
--- a/g3doc/user_guide/quick_start/oci.md
+++ /dev/null
@@ -1,43 +0,0 @@
-# OCI Quick Start
-
-This guide will quickly get you started running your first gVisor sandbox
-container using the runtime directly with the default platform.
-
-First, follow the [Installation guide][install].
-
-## Run an OCI compatible container
-
-Now we will create an [OCI][oci] container bundle to run our container. First we
-will create a root directory for our bundle.
-
-```bash
-mkdir bundle
-cd bundle
-```
-
-Create a root file system for the container. We will use the Docker
-`hello-world` image as the basis for our container.
-
-```bash
-mkdir rootfs
-docker export $(docker create hello-world) | tar -xf - -C rootfs
-```
-
-Next, create an specification file called `config.json` that contains our
-container specification. We tell the container to run the `/hello` program.
-
-```bash
-runsc spec -- /hello
-```
-
-Finally run the container.
-
-```bash
-sudo runsc run hello
-```
-
-Next try [using CNI to set up networking](../../../tutorials/cni/) or
-[running gVisor using Docker](../docker/).
-
-[oci]: https://opencontainers.org/
-[install]: /docs/user_guide/install
diff --git a/g3doc/user_guide/tutorials/BUILD b/g3doc/user_guide/tutorials/BUILD
deleted file mode 100644
index f405349b3..000000000
--- a/g3doc/user_guide/tutorials/BUILD
+++ /dev/null
@@ -1,46 +0,0 @@
-load("//website:defs.bzl", "doc")
-
-package(
- default_visibility = ["//website:__pkg__"],
- licenses = ["notice"],
-)
-
-doc(
- name = "docker",
- src = "docker.md",
- category = "User Guide",
- permalink = "/docs/tutorials/docker/",
- subcategory = "Tutorials",
- weight = "10",
-)
-
-doc(
- name = "docker_compose",
- src = "docker-compose.md",
- category = "User Guide",
- permalink = "/docs/tutorials/docker-compose/",
- subcategory = "Tutorials",
- weight = "20",
-)
-
-doc(
- name = "kubernetes",
- src = "kubernetes.md",
- category = "User Guide",
- data = [
- "add-node-pool.png",
- "node-pool-button.png",
- ],
- permalink = "/docs/tutorials/kubernetes/",
- subcategory = "Tutorials",
- weight = "30",
-)
-
-doc(
- name = "cni",
- src = "cni.md",
- category = "User Guide",
- permalink = "/docs/tutorials/cni/",
- subcategory = "Tutorials",
- weight = "40",
-)
diff --git a/g3doc/user_guide/tutorials/add-node-pool.png b/g3doc/user_guide/tutorials/add-node-pool.png
deleted file mode 100644
index e4560359b..000000000
--- a/g3doc/user_guide/tutorials/add-node-pool.png
+++ /dev/null
Binary files differ
diff --git a/g3doc/user_guide/tutorials/cni.md b/g3doc/user_guide/tutorials/cni.md
deleted file mode 100644
index a3507c25b..000000000
--- a/g3doc/user_guide/tutorials/cni.md
+++ /dev/null
@@ -1,174 +0,0 @@
-# Using CNI
-
-This tutorial will show you how to set up networking for a gVisor sandbox using
-the
-[Container Networking Interface (CNI)](https://github.com/containernetworking/cni).
-
-## Install CNI Plugins
-
-First you will need to install the CNI plugins. CNI plugins are used to set up a
-network namespace that `runsc` can use with the sandbox.
-
-Start by creating the directories for CNI plugin binaries:
-
-```
-sudo mkdir -p /opt/cni/bin
-```
-
-Download the CNI plugins:
-
-```
-wget https://github.com/containernetworking/plugins/releases/download/v0.8.3/cni-plugins-linux-amd64-v0.8.3.tgz
-```
-
-Next, unpack the plugins into the CNI binary directory:
-
-```
-sudo tar -xvf cni-plugins-linux-amd64-v0.8.3.tgz -C /opt/cni/bin/
-```
-
-## Configure CNI Plugins
-
-This section will show you how to configure CNI plugins. This tutorial will use
-the "bridge" and "loopback" plugins which will create the necessary bridge and
-loopback devices in our network namespace. However, you should be able to use
-any CNI compatible plugin to set up networking for gVisor sandboxes.
-
-The bridge plugin configuration specifies the IP address subnet range for IP
-addresses that will be assigned to sandboxes as well as the network routing
-configuration. This tutorial will assign IP addresses from the `10.22.0.0/16`
-range and allow all outbound traffic, however you can modify this configuration
-to suit your use case.
-
-Create the bridge and loopback plugin configurations:
-
-```
-sudo mkdir -p /etc/cni/net.d
-
-sudo sh -c 'cat > /etc/cni/net.d/10-bridge.conf << EOF
-{
- "cniVersion": "0.3.1",
- "name": "mynet",
- "type": "bridge",
- "bridge": "cni0",
- "isGateway": true,
- "ipMasq": true,
- "ipam": {
- "type": "host-local",
- "subnet": "10.22.0.0/16",
- "routes": [
- { "dst": "0.0.0.0/0" }
- ]
- }
-}
-EOF'
-
-sudo sh -c 'cat > /etc/cni/net.d/99-loopback.conf << EOF
-{
- "cniVersion": "0.3.1",
- "name": "lo",
- "type": "loopback"
-}
-EOF'
-```
-
-## Create a Network Namespace
-
-For each gVisor sandbox you will create a network namespace and configure it
-using CNI. First, create a random network namespace name and then create the
-namespace.
-
-The network namespace path will then be `/var/run/netns/${CNI_CONTAINERID}`.
-
-```
-export CNI_PATH=/opt/cni/bin
-export CNI_CONTAINERID=$(printf '%x%x%x%x' $RANDOM $RANDOM $RANDOM $RANDOM)
-export CNI_COMMAND=ADD
-export CNI_NETNS=/var/run/netns/${CNI_CONTAINERID}
-
-sudo ip netns add ${CNI_CONTAINERID}
-```
-
-Next, run the bridge and loopback plugins to apply the configuration that was
-created earlier to the namespace. Each plugin outputs some JSON indicating the
-results of executing the plugin. For example, The bridge plugin's response
-includes the IP address assigned to the ethernet device created in the network
-namespace. Take note of the IP address for use later.
-
-```
-export CNI_IFNAME="eth0"
-sudo -E /opt/cni/bin/bridge < /etc/cni/net.d/10-bridge.conf
-export CNI_IFNAME="lo"
-sudo -E /opt/cni/bin/loopback < /etc/cni/net.d/99-loopback.conf
-```
-
-Get the IP address assigned to our sandbox:
-
-```
-POD_IP=$(sudo ip netns exec ${CNI_CONTAINERID} ip -4 addr show eth0 | grep -oP '(?<=inet\s)\d+(\.\d+){3}')
-```
-
-## Create the OCI Bundle
-
-Now that our network namespace is created and configured, we can create the OCI
-bundle for our container. As part of the bundle's `config.json` we will specify
-that the container use the network namespace that we created.
-
-The container will run a simple python webserver that we will be able to connect
-to via the IP address assigned to it via the bridge CNI plugin.
-
-Create the bundle and root filesystem directories:
-
-```
-sudo mkdir -p bundle
-cd bundle
-sudo mkdir rootfs
-sudo docker export $(docker create python) | sudo tar --same-owner -pxf - -C rootfs
-sudo mkdir -p rootfs/var/www/html
-sudo sh -c 'echo "Hello World!" > rootfs/var/www/html/index.html'
-```
-
-Next create the `config.json` specifying the network namespace.
-
-```
-sudo /usr/local/bin/runsc spec \
- --cwd /var/www/html \
- --netns /var/run/netns/${CNI_CONTAINERID} \
- -- python -m http.server
-```
-
-## Run the Container
-
-Now we can run and connect to the webserver. Run the container in gVisor. Use
-the same ID used for the network namespace to be consistent:
-
-```
-sudo runsc run -detach ${CNI_CONTAINERID}
-```
-
-Connect to the server via the sandbox's IP address:
-
-```
-curl http://${POD_IP}:8000/
-```
-
-You should see the server returning `Hello World!`.
-
-## Cleanup
-
-After you are finished running the container, you can clean up the network
-namespace .
-
-```
-sudo runsc kill ${CNI_CONTAINERID}
-sudo runsc delete ${CNI_CONTAINERID}
-
-export CNI_COMMAND=DEL
-
-export CNI_IFNAME="lo"
-sudo -E /opt/cni/bin/loopback < /etc/cni/net.d/99-loopback.conf
-export CNI_IFNAME="eth0"
-sudo -E /opt/cni/bin/bridge < /etc/cni/net.d/10-bridge.conf
-
-sudo ip netns delete ${CNI_CONTAINERID}
-```
diff --git a/g3doc/user_guide/tutorials/docker-compose.md b/g3doc/user_guide/tutorials/docker-compose.md
deleted file mode 100644
index 3284231f8..000000000
--- a/g3doc/user_guide/tutorials/docker-compose.md
+++ /dev/null
@@ -1,100 +0,0 @@
-# Wordpress with Docker Compose
-
-This page shows you how to deploy a sample [WordPress][wordpress] site using
-[Docker Compose][docker-compose].
-
-### Before you begin
-
-[Follow these instructions][docker-install] to install runsc with Docker. This
-document assumes that Docker and Docker Compose are installed and the runtime
-name chosen for gVisor is `runsc`.
-
-### Configuration
-
-We'll start by creating the `docker-compose.yaml` file to specify our services.
-We will specify two services, a `wordpress` service for the Wordpress Apache
-server, and a `db` service for MySQL. We will configure Wordpress to connect to
-MySQL via the `db` service host name.
-
-> **Note:** Docker Compose uses it's own network by default and allows services
-> to communicate using their service name. Docker Compose does this by setting
-> up a DNS server at IP address 127.0.0.11 and configuring containers to use it
-> via [resolv.conf][resolv.conf]. This IP is not addressable inside a gVisor
-> sandbox so it's important that we set the DNS IP address to the alternative
-> `8.8.8.8` and use a network that allows routing to it. See
-> [Networking in Compose][compose-networking] for more details.
-
-> **Note:** The `runtime` field was removed from services in the 3.x version of
-> the API in versions of docker-compose < 1.27.0. You will need to write your
-> `docker-compose.yaml` file using the 2.x format or use docker-compose >=
-> 1.27.0. See this [issue](https://github.com/docker/compose/issues/6239) for
-> more details.
-
-```yaml
-version: '2.3'
-
-services:
- db:
- image: mysql:5.7
- volumes:
- - db_data:/var/lib/mysql
- restart: always
- environment:
- MYSQL_ROOT_PASSWORD: somewordpress
- MYSQL_DATABASE: wordpress
- MYSQL_USER: wordpress
- MYSQL_PASSWORD: wordpress
- # All services must be on the same network to communicate.
- network_mode: "bridge"
-
- wordpress:
- depends_on:
- - db
- # When using the "bridge" network specify links.
- links:
- - db
- image: wordpress:latest
- ports:
- - "8080:80"
- restart: always
- environment:
- WORDPRESS_DB_HOST: db:3306
- WORDPRESS_DB_USER: wordpress
- WORDPRESS_DB_PASSWORD: wordpress
- WORDPRESS_DB_NAME: wordpress
- # Specify the dns address if needed.
- dns:
- - 8.8.8.8
- # All services must be on the same network to communicate.
- network_mode: "bridge"
- # Specify the runtime used by Docker. Must be set up in
- # /etc/docker/daemon.json.
- runtime: "runsc"
-
-volumes:
- db_data: {}
-```
-
-Once you have a `docker-compose.yaml` in the current directory you can start the
-containers:
-
-```bash
-docker-compose up
-```
-
-Once the containers have started you can access wordpress at
-http://localhost:8080.
-
-Congrats! You now how a working wordpress site up and running using Docker
-Compose.
-
-### What's next
-
-Learn how to deploy [WordPress with Kubernetes][wordpress-k8s].
-
-[docker-compose]: https://docs.docker.com/compose/
-[docker-install]: ../quick_start/docker.md
-[wordpress]: https://wordpress.com/
-[resolv.conf]: https://man7.org/linux/man-pages/man5/resolv.conf.5.html
-[wordpress-k8s]: kubernetes.md
-[compose-networking]: https://docs.docker.com/compose/networking/
diff --git a/g3doc/user_guide/tutorials/docker.md b/g3doc/user_guide/tutorials/docker.md
deleted file mode 100644
index 9ca01da2a..000000000
--- a/g3doc/user_guide/tutorials/docker.md
+++ /dev/null
@@ -1,70 +0,0 @@
-# WordPress with Docker
-
-This page shows you how to deploy a sample [WordPress][wordpress] site using
-[Docker][docker].
-
-### Before you begin
-
-[Follow these instructions][docker-install] to install runsc with Docker. This
-document assumes that the runtime name chosen is `runsc`.
-
-### Running WordPress
-
-Now, let's deploy a WordPress site using Docker. WordPress site requires two
-containers: web server in the frontend, MySQL database in the backend.
-
-First, let's define a few environment variables that are shared between both
-containers:
-
-```bash
-export MYSQL_PASSWORD=${YOUR_SECRET_PASSWORD_HERE?}
-export MYSQL_DB=wordpress
-export MYSQL_USER=wordpress
-```
-
-Next, let's start the database container running MySQL and wait until the
-database is initialized:
-
-```bash
-docker run --runtime=runsc --name mysql -d \
- -e MYSQL_RANDOM_ROOT_PASSWORD=1 \
- -e MYSQL_PASSWORD="${MYSQL_PASSWORD}" \
- -e MYSQL_DATABASE="${MYSQL_DB}" \
- -e MYSQL_USER="${MYSQL_USER}" \
- mysql:5.7
-
-# Wait until this message appears in the log.
-docker logs mysql |& grep 'port: 3306 MySQL Community Server (GPL)'
-```
-
-Once the database is running, you can start the WordPress frontend. We use the
-`--link` option to connect the frontend to the database, and expose the
-WordPress to port 8080 on the localhost.
-
-```bash
-docker run --runtime=runsc --name wordpress -d \
- --link mysql:mysql \
- -p 8080:80 \
- -e WORDPRESS_DB_HOST=mysql \
- -e WORDPRESS_DB_USER="${MYSQL_USER}" \
- -e WORDPRESS_DB_PASSWORD="${MYSQL_PASSWORD}" \
- -e WORDPRESS_DB_NAME="${MYSQL_DB}" \
- -e WORDPRESS_TABLE_PREFIX=wp_ \
- wordpress
-```
-
-Now, you can access the WordPress website pointing your favorite browser to
-<http://localhost:8080>.
-
-Congratulations! You have just deployed a WordPress site using Docker.
-
-### What's next
-
-Learn how to deploy WordPress with [Kubernetes][wordpress-k8s] or
-[Docker Compose][wordpress-compose].
-
-[docker]: https://www.docker.com/
-[docker-install]: ../quick_start/docker.md
-[wordpress]: https://wordpress.com/
-[wordpress-k8s]: kubernetes.md
-[wordpress-compose]: docker-compose.md
diff --git a/g3doc/user_guide/tutorials/kubernetes.md b/g3doc/user_guide/tutorials/kubernetes.md
deleted file mode 100644
index 1ec6e71e9..000000000
--- a/g3doc/user_guide/tutorials/kubernetes.md
+++ /dev/null
@@ -1,236 +0,0 @@
-# WordPress with Kubernetes
-
-This page shows you how to deploy a sample [WordPress][wordpress] site using
-[GKE Sandbox][gke-sandbox].
-
-### Before you begin
-
-Take the following steps to enable the Kubernetes Engine API:
-
-1. Visit the [Kubernetes Engine page][project-selector] in the Google Cloud
- Platform Console.
-1. Create or select a project.
-
-### Creating a node pool with gVisor enabled
-
-Create a node pool inside your cluster with option `--sandbox type=gvisor` added
-to the command, like below:
-
-```bash
-gcloud beta container node-pools create sandbox-pool --cluster=${CLUSTER_NAME} --image-type=cos_containerd --sandbox type=gvisor
-```
-
-If you prefer to use the console, select your cluster and select the **ADD NODE
-POOL** button:
-
-![+ ADD NODE POOL](node-pool-button.png)
-
-Then select the **Image type** with **Containerd** and select **Enable sandbox
-with gVisor** option. Select other options as you like:
-
-![+ NODE POOL](add-node-pool.png)
-
-### Check that gVisor is enabled
-
-The gvisor RuntimeClass is instantiated during node creation. You can check for
-the existence of the gvisor RuntimeClass using the following command:
-
-```bash
-kubectl get runtimeclasses
-```
-
-### Wordpress deployment
-
-Now, let's deploy a WordPress site using GKE Sandbox. WordPress site requires
-two pods: web server in the frontend, MySQL database in the backend. Both
-applications use PersistentVolumes to store the site data data. In addition,
-they use secret store to share MySQL password between them.
-
-First, let's download the deployment configuration files to add the runtime
-class annotation to them:
-
-```bash
-curl -LO https://k8s.io/examples/application/wordpress/wordpress-deployment.yaml
-curl -LO https://k8s.io/examples/application/wordpress/mysql-deployment.yaml
-```
-
-Add a **spec.template.spec.runtimeClassName** set to **gvisor** to both files,
-as shown below:
-
-**wordpress-deployment.yaml:**
-
-```yaml
-apiVersion: v1
-kind: Service
-metadata:
- name: wordpress
- labels:
- app: wordpress
-spec:
- ports:
- - port: 80
- selector:
- app: wordpress
- tier: frontend
- type: LoadBalancer
----
-apiVersion: v1
-kind: PersistentVolumeClaim
-metadata:
- name: wp-pv-claim
- labels:
- app: wordpress
-spec:
- accessModes:
- - ReadWriteOnce
- resources:
- requests:
- storage: 20Gi
----
-apiVersion: apps/v1
-kind: Deployment
-metadata:
- name: wordpress
- labels:
- app: wordpress
-spec:
- selector:
- matchLabels:
- app: wordpress
- tier: frontend
- strategy:
- type: Recreate
- template:
- metadata:
- labels:
- app: wordpress
- tier: frontend
- spec:
- runtimeClassName: gvisor # ADD THIS LINE
- containers:
- - image: wordpress:4.8-apache
- name: wordpress
- env:
- - name: WORDPRESS_DB_HOST
- value: wordpress-mysql
- - name: WORDPRESS_DB_PASSWORD
- valueFrom:
- secretKeyRef:
- name: mysql-pass
- key: password
- ports:
- - containerPort: 80
- name: wordpress
- volumeMounts:
- - name: wordpress-persistent-storage
- mountPath: /var/www/html
- volumes:
- - name: wordpress-persistent-storage
- persistentVolumeClaim:
- claimName: wp-pv-claim
-```
-
-**mysql-deployment.yaml:**
-
-```yaml
-apiVersion: v1
-kind: Service
-metadata:
- name: wordpress-mysql
- labels:
- app: wordpress
-spec:
- ports:
- - port: 3306
- selector:
- app: wordpress
- tier: mysql
- clusterIP: None
----
-apiVersion: v1
-kind: PersistentVolumeClaim
-metadata:
- name: mysql-pv-claim
- labels:
- app: wordpress
-spec:
- accessModes:
- - ReadWriteOnce
- resources:
- requests:
- storage: 20Gi
----
-apiVersion: apps/v1
-kind: Deployment
-metadata:
- name: wordpress-mysql
- labels:
- app: wordpress
-spec:
- selector:
- matchLabels:
- app: wordpress
- tier: mysql
- strategy:
- type: Recreate
- template:
- metadata:
- labels:
- app: wordpress
- tier: mysql
- spec:
- runtimeClassName: gvisor # ADD THIS LINE
- containers:
- - image: mysql:5.6
- name: mysql
- env:
- - name: MYSQL_ROOT_PASSWORD
- valueFrom:
- secretKeyRef:
- name: mysql-pass
- key: password
- ports:
- - containerPort: 3306
- name: mysql
- volumeMounts:
- - name: mysql-persistent-storage
- mountPath: /var/lib/mysql
- volumes:
- - name: mysql-persistent-storage
- persistentVolumeClaim:
- claimName: mysql-pv-claim
-```
-
-Note that apart from `runtimeClassName: gvisor`, nothing else about the
-Deployment has is changed.
-
-You are now ready to deploy the entire application. Just create a secret to
-store MySQL's password and *apply* both deployments:
-
-```bash
-kubectl create secret generic mysql-pass --from-literal=password=${YOUR_SECRET_PASSWORD_HERE?}
-kubectl apply -f mysql-deployment.yaml
-kubectl apply -f wordpress-deployment.yaml
-```
-
-Wait for the deployments to be ready and an external IP to be assigned to the
-Wordpress service:
-
-```bash
-watch kubectl get service wordpress
-```
-
-Now, copy the service `EXTERNAL-IP` from above to your favorite browser to view
-and configure your new WordPress site.
-
-Congratulations! You have just deployed a WordPress site using GKE Sandbox.
-
-### What's next
-
-To learn more about GKE Sandbox and how to run your deployment securely, take a
-look at the [documentation][gke-sandbox-docs].
-
-[gke-sandbox-docs]: https://cloud.google.com/kubernetes-engine/docs/how-to/sandbox-pods
-[gke-sandbox]: https://cloud.google.com/kubernetes-engine/sandbox/
-[project-selector]: https://console.cloud.google.com/projectselector/kubernetes
-[wordpress]: https://wordpress.com/
diff --git a/g3doc/user_guide/tutorials/node-pool-button.png b/g3doc/user_guide/tutorials/node-pool-button.png
deleted file mode 100644
index bee0c11dc..000000000
--- a/g3doc/user_guide/tutorials/node-pool-button.png
+++ /dev/null
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