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authorAnand <19315039+sriv1211@users.noreply.github.com>2019-05-18 22:57:50 +0100
committerIan Lewis <ianlewis@google.com>2019-05-19 12:10:13 +0900
commitff72925c55e5753cde479effd19d85e59073e82a (patch)
tree91ab2a70a84ee9888013037fd6db50a4a299248a /content/docs/architecture_guide
parenta802b27eae41f157d8fd5d8aa4272f11c0c7e301 (diff)
Corrected typo
Diffstat (limited to 'content/docs/architecture_guide')
-rw-r--r--content/docs/architecture_guide/performance.md2
1 files changed, 1 insertions, 1 deletions
diff --git a/content/docs/architecture_guide/performance.md b/content/docs/architecture_guide/performance.md
index 1d3a060da..960058a19 100644
--- a/content/docs/architecture_guide/performance.md
+++ b/content/docs/architecture_guide/performance.md
@@ -231,7 +231,7 @@ the cost of VFS operations.
{{< graph 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 serviing requests, for example. The above
+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