diff options
Diffstat (limited to 'g3doc')
44 files changed, 0 insertions, 3304 deletions
diff --git a/g3doc/BUILD b/g3doc/BUILD deleted file mode 100644 index dbbf96204..000000000 --- a/g3doc/BUILD +++ /dev/null @@ -1,35 +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 = "95", -) diff --git a/g3doc/Layers.png b/g3doc/Layers.png Binary files differdeleted file mode 100644 index 308c6c451..000000000 --- a/g3doc/Layers.png +++ /dev/null diff --git a/g3doc/Layers.svg b/g3doc/Layers.svg deleted file mode 100644 index 0a366f841..000000000 --- a/g3doc/Layers.svg +++ /dev/null @@ -1 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\ No newline at end of file diff --git a/g3doc/README.md b/g3doc/README.md deleted file mode 100644 index 304a91493..000000000 --- a/g3doc/README.md +++ /dev/null @@ -1,168 +0,0 @@ -# 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. - - - -**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 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. - - - -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. - - - -## 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 - -<a name="sentry"></a> <!-- For deep linking. --> - -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 - -<a name="gofer"></a> <!-- For deep linking. --> - -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 - -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 [Commpatibility](./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 diff --git a/g3doc/Rule-Based-Execution.png b/g3doc/Rule-Based-Execution.png Binary files differdeleted file mode 100644 index b42654a90..000000000 --- a/g3doc/Rule-Based-Execution.png +++ /dev/null diff --git a/g3doc/Rule-Based-Execution.svg b/g3doc/Rule-Based-Execution.svg deleted file mode 100644 index bd6717043..000000000 --- a/g3doc/Rule-Based-Execution.svg +++ /dev/null @@ -1 +0,0 @@ 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\ No newline at end of file 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 39dbb0045..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 -distint **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, must 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/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): - - - -### 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. 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-[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: - - - -## 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 requires entering -the sandbox (e.g. via a [Docker exec][exec]). - -## Networking - -The sandbox attaches a network endpoint to the system, but runs it's 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 Binary files differdeleted file mode 100644 index f715008ec..000000000 --- a/g3doc/architecture_guide/resources.png +++ /dev/null diff --git a/g3doc/architecture_guide/resources.svg b/g3doc/architecture_guide/resources.svg deleted file mode 100644 index fd7805d90..000000000 --- a/g3doc/architecture_guide/resources.svg +++ /dev/null @@ -1,208 +0,0 @@ -<?xml version="1.0" encoding="UTF-8" standalone="no"?> -<!-- Created with Inkscape (http://www.inkscape.org/) --> - 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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 - - - -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 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 Binary files differdeleted file mode 100644 index c29befbf6..000000000 --- a/g3doc/architecture_guide/security.png +++ /dev/null diff --git a/g3doc/architecture_guide/security.svg b/g3doc/architecture_guide/security.svg deleted file mode 100644 index 0575e2dec..000000000 --- a/g3doc/architecture_guide/security.svg +++ /dev/null @@ -1,153 +0,0 @@ -<?xml version="1.0" encoding="UTF-8" standalone="no"?> -<!-- Created with Inkscape (http://www.inkscape.org/) --> - -<svg - xmlns:dc="http://purl.org/dc/elements/1.1/" - xmlns:cc="http://creativecommons.org/ns#" - xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" - xmlns:svg="http://www.w3.org/2000/svg" - 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-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&height=600&wkst=1&bgcolor=%23FFFFFF&src=bd6f4k210u3ukmlj9b8vl053fk%40group.calendar.google.com&color=%23AB8B00&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 Binary files differdeleted file mode 100644 index bd1a1e4b7..000000000 --- a/g3doc/logo.png +++ /dev/null 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/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/user_guide/BUILD b/g3doc/user_guide/BUILD deleted file mode 100644 index 5568e1ba4..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 89df65e99..000000000 --- a/g3doc/user_guide/FAQ.md +++ /dev/null @@ -1,122 +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 and the owner is correct on the `runsc` binary. - -```bash -sudo chown root:root /usr/local/bin/runsc -sudo chmod 0755 /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. - -### 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. - -[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/ 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/debugging.md b/g3doc/user_guide/debugging.md deleted file mode 100644 index 0525fd5c0..000000000 --- a/g3doc/user_guide/debugging.md +++ /dev/null @@ -1,131 +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 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 0de2b9932..000000000 --- a/g3doc/user_guide/install.md +++ /dev/null @@ -1,160 +0,0 @@ -# Installation - -[TOC] - -> Note: gVisor supports only x86\_64 and requires Linux 4.14.77+ -> ([older Linux](./networking.md#gso)). - -## 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. - -### 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/runsc` - -Checksums for the release binary are at: - -`https://storage.googleapis.com/gvisor/releases/master/latest/runsc.sha512` - -For `apt` installation, use the `master` as the `${DIST}` below. - -### Nightly - -Nightly releases are built most nights from the master branch, and are available -at the following URL: - -`https://storage.googleapis.com/gvisor/releases/nightly/latest/runsc` - -Checksums for the release binary are at: - -`https://storage.googleapis.com/gvisor/releases/nightly/latest/runsc.sha512` - -Specific nightly releases can be found at: - -`https://storage.googleapis.com/gvisor/releases/nightly/${yyyy-mm-dd}/runsc` - -Note that a release may not be available for every day. - -For `apt` installation, use the `nightly` as the `${DIST}` below. - -### Latest release - -The latest official release is available at the following URL: - -`https://storage.googleapis.com/gvisor/releases/release/latest` - -For `apt` installation, use the `release` as the `${DIST}` below. - -### Specific release - -A given release release is available at the following URL: - -`https://storage.googleapis.com/gvisor/releases/release/${yyyymmdd}` - -See the [releases][releases] page for information about specific releases. - -For `apt` installation of a specific release, which may include point updates, -use the date of the release, e.g. `${yyyymmdd}`, as the `${DIST}` below. - -> Note: only newer releases may be available as `apt` repositories. - -### Point release - -A given point release is available at the following URL: - -`https://storage.googleapis.com/gvisor/releases/release/${yyyymmdd}.${rc}` - -Note that `apt` installation of a specific point release is not supported. - -## Install from an `apt` repository - -First, appropriate dependencies must be installed to allow `apt` to install -packages via https: - -```bash -sudo apt-get update && \ -sudo apt-get install -y \ - apt-transport-https \ - ca-certificates \ - curl \ - gnupg-agent \ - software-properties-common -``` - -Next, the key used to sign archives should be added to your `apt` keychain: - -```bash -curl -fsSL https://gvisor.dev/archive.key | sudo apt-key add - -``` - -Based on the release type, you will need to substitute `${DIST}` below, using -one of: - -* `master`: For HEAD. -* `nightly`: For nightly releases. -* `release`: For the latest release. -* `${yyyymmdd}`: For a specific releases (see above). - -The repository for the release you wish to install should be added: - -```bash -sudo add-apt-repository "deb https://storage.googleapis.com/gvisor/releases ${DIST} main" -``` - -For example, to install the latest official release, you can use: - -```bash -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. - -## Install directly - -The binary URLs provided above can be used to install directly. For example, the -latest nightly binary can be downloaded, validated, and placed in an appropriate -location by running: - -```bash -( - set -e - URL=https://storage.googleapis.com/gvisor/releases/nightly/latest - wget ${URL}/runsc - wget ${URL}/runsc.sha512 - sha512sum -c runsc.sha512 - rm -f runsc.sha512 - sudo mv runsc /usr/local/bin - sudo chown root:root /usr/local/bin/runsc - sudo chmod 0755 /usr/local/bin/runsc -) -``` - -**It is important to copy this binary to a location that is accessible to all -users, and ensure it is executable by 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. - -After installation, the`runsc` binary comes with an `install` command that can -optionally automatically configure Docker: - -```bash -runsc install -``` - -[releases]: https://github.com/google/gvisor/releases diff --git a/g3doc/user_guide/networking.md b/g3doc/user_guide/networking.md deleted file mode 100644 index 4aa394c91..000000000 --- a/g3doc/user_guide/networking.md +++ /dev/null @@ -1,85 +0,0 @@ -# Networking - -[TOC] - -gVisor implements its own network stack called [netstack][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" - ] - } - } -} -``` - -[netstack]: https://github.com/google/netstack 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 fa8b9076b..000000000 --- a/g3doc/user_guide/quick_start/docker.md +++ /dev/null @@ -1,92 +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 (`/etc/docker/daemon.json`). You may have to create -this file if it does not exist. Also, some Docker versions also require you to -[specify the `storage-driver` field][storage-driver]. - -In the end, the file should look something like: - -```json -{ - "runtimes": { - "runsc": { - "path": "/usr/local/bin/runsc" - } - } -} -``` - -You must restart the Docker daemon after making changes to this file, 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. - -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 f875d8002..000000000 --- a/g3doc/user_guide/quick_start/kubernetes.md +++ /dev/null @@ -1,36 +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 `io.kubernetes.cri.untrusted-workload` -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 the -[containerd][containerd] CRI runtime and the `gvisor-containerd-shim`. You can -use either the `io.kubernetes.cri.untrusted-workload` annotation or -[RuntimeClass][runtimeclass] to run Pods with `runsc`. You can find instructions -[here][gvisor-containerd-shim]. - -## 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-shim]: https://github.com/google/gvisor-containerd-shim -[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 877169145..000000000 --- a/g3doc/user_guide/quick_start/oci.md +++ /dev/null @@ -1,45 +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 will update the default command it runs to `/hello` -in the `hello-world` container. - -```bash -runsc spec -sed -i 's;"sh";"/hello";' config.json -``` - -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 caae98623..000000000 --- a/g3doc/user_guide/tutorials/BUILD +++ /dev/null @@ -1,37 +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 = "21", -) - -doc( - name = "cni", - src = "cni.md", - category = "User Guide", - permalink = "/docs/tutorials/cni/", - subcategory = "Tutorials", - weight = "22", -) - -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 = "33", -) diff --git a/g3doc/user_guide/tutorials/add-node-pool.png b/g3doc/user_guide/tutorials/add-node-pool.png Binary files differdeleted file mode 100644 index e4560359b..000000000 --- a/g3doc/user_guide/tutorials/add-node-pool.png +++ /dev/null diff --git a/g3doc/user_guide/tutorials/cni.md b/g3doc/user_guide/tutorials/cni.md deleted file mode 100644 index ad6c9fa59..000000000 --- a/g3doc/user_guide/tutorials/cni.md +++ /dev/null @@ -1,172 +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": "0.4.0", - "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": "0.4.0", - "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 $(docker create python) | sudo tar --same-owner -pxf - -C rootfs -sudo mkdir -p rootfs/var/www/html -sudo sh -c 'echo "Hello World!" > rootfs/var/www/html/index.html' -``` - -Next create the `config.json` specifying the network namespace. `sudo -/usr/local/bin/runsc spec sudo sed -i 's;"sh";"python", "-m", "http.server";' -config.json sudo sed -i "s;\"cwd\": \"/\";\"cwd\": \"/var/www/html\";" -config.json sudo sed -i "s;\"type\": \"network\";\"type\": -\"network\",\n\t\t\t\t\"path\": \"/var/run/netns/${CNI_CONTAINERID}\";" -config.json` - -## 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 ${CNI_CONTAINERID} -``` diff --git a/g3doc/user_guide/tutorials/docker.md b/g3doc/user_guide/tutorials/docker.md deleted file mode 100644 index c0a3db506..000000000 --- a/g3doc/user_guide/tutorials/docker.md +++ /dev/null @@ -1,68 +0,0 @@ -# WorkPress with Docker - -This page shows you how to deploy a sample [WordPress][wordpress] site using -[Docker][docker]. - -### Before you begin - -[Follow these instructions][docker-install] to install runsc with Docker. This -document assumes that the runtime name chosen is `runsc`. - -### Running WordPress - -Now, let's deploy a WordPress site using Docker. WordPress site requires two -containers: web server in the frontend, MySQL database in the backend. - -First, let's define a few environment variables that are shared between both -containers: - -```bash -export MYSQL_PASSWORD=${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]. - -[docker]: https://www.docker.com/ -[docker-install]: /docs/user_guide/quick_start/docker/ -[wordpress]: https://wordpress.com/ -[wordpress-k8s]: /docs/tutorials/kubernetes/ diff --git a/g3doc/user_guide/tutorials/kubernetes.md b/g3doc/user_guide/tutorials/kubernetes.md deleted file mode 100644 index d2a94b1b7..000000000 --- a/g3doc/user_guide/tutorials/kubernetes.md +++ /dev/null @@ -1,134 +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: - - - -Then select the **Image type** with **Containerd** and select **Enable sandbox -with gVisor** option. Select other options as you like: - - - -### 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 Binary files differdeleted file mode 100644 index bee0c11dc..000000000 --- a/g3doc/user_guide/tutorials/node-pool-button.png +++ /dev/null |
