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My real-life Istio Performance Tuning - Part 1

 ·  β˜• 7 min read

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Why tuning

If it takes interest and momentum to push a new technology, then what is needed to get this technology go to live production is hard working. Including Cloud Native and Istio.
In pre-launch performance testing, Istio out-of-box provided observability, operational convenience, and also introduced pain: Increased service latency. How to minimize latency has become a critical task.

My Scenario:

  • SERVICE-A invoke SERVICE-B
  • Latency of Service-A, which was previously 9ms at P50, is now 14ms at P50.

Bottleneck Analysis

There are two paths under my feet:

  1. Directly adjust some configurations that are considered suspicious and disable some functions. Then stress test to see the results.
  2. Do a CPU profile on the sidecar to locate suspicious places. Let tuning make sense.

I chose the second one.

Profile Sidecar CPU

As a mature open source product, Istio has official benchmark project:

https://github.com/istio/tools/tree/release-1.8/perf/benchmark

What make me interesting: https://github.com/istio/tools/tree/release-1.8/perf/benchmark/flame#setup-perf-tool-envoy 。

perf installation

Run the linux perf tool in the container to profile the sidecar. There are some difficulties, such as the Istio-proxy container default full file system read-only, which I modified to be writable. You need to enter the container as root. If you feel troublesome, you can also make a custom image based on the original image. The method is not the focus of this article and will not be discussed. You can then install perf with a package tool such as apt.

Here is an example of an istio-proxy container configuration:

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spec:
  containers:
  - name: istio-proxy
    image: xyz
    securityContext:
      allowPrivilegeEscalation: true
      capabilities:
        add:
        - ALL
      privileged: true
      readOnlyRootFilesystem: false
      runAsGroup: 1337
      runAsNonRoot: false
      runAsUser: 1337

Run profile, Generate Flame Graph

Enter the istio-proxy container as root (yes, root save your time avoiding permission problem).

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perf record -g  -F 19 -p `pgrep envoy` -o perf.data -- sleep 120
perf script --header -i perf.data > perf.stacks

After copying perf.stacks file to your PC, generate the Flame Graph. Yes, a perl script is required: https://github.com/brendangregg/FlameGraph (produced by my idol Brendan Gregg)

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export FlameGraph=/xyz/FlameGraph
$FlameGraph/stackcollapse-perf.pl < perf.stacks | $FlameGraph/flamegraph.pl --hash > perf.svg

And perf.svg has been generated:

image-20210702223021403

The above figure is just an Envoy worker thread, and there is a thread similar to it. So the proxy_wasm::ContextBase::onLog above uses 14% of the cpu of the whole process. As you can see from the image above, this is probably an Envoy extension Filter. The question is, what is this Filter and why some stack symbol couldn’t be resolved (perf-18.map in the figure above).

Envoy Filter - WASM utopia

What I do know is that WASM is a VM engine (let’s take the analogy of JVM). Envoy supports both:

  • native extensions
  • WASM extensions.

Of course, the VM engine must have a performance loss compared to Native.

Fortunately, Google tooks me to find this document:

https://istio.io/v1.8/docs/ops/deployment/performance-and-scalability/

One of the figures, gave me a hint:

image-20210702224710409

  • baseline Client pod directly calls the server pod, no sidecars are present.
  • none_both Istio proxy with no Istio specific filters configured.
  • v2-stats-wasm_both Client and server sidecars are present with telemetry v2 v8 configured.
  • v2-stats-nullvm_both Client and server sidecars are present with telemetry v2 nullvm configured by default.
  • v2-sd-full-nullvm_both Export Stackdriver metrics, access logs and edges with telemetry v2 nullvm configured.
  • v2-sd-nologging-nullvm_both Same as above, but does not export access logs.

For a performance test, what do it do with so many lines?

  • baseline Without sidecars
  • none_both Without Istio Filter
  • v2-stats-wasm_both With WASM filter
  • v2-stats-nullvm_both With Native Filter

What want to say in these few words? That is, we want to promote the use of WASM technology, so Envoy document WASM Filter as an built-in option. If you mind that 1ms delay, and then a little bit of CPU. Please use native technology. Well, I admit, I mind.

Note: I later found out that the official standard version of Istio 1.8 uses Native Filters. Our environment is an internal custom version that uses wasm Filter by default (or a utopia based on security, isolation, portability over performance). So, probably for you, Native Filter is already the default configuration.

Overloaded worker thread and the lazy CPU core

Below is the thread-level top monitoring of the Enovy process. Yes, pthread said, thread naming is not a patent of the Java world. The COMMAND column is the thread name.

top -p `pgrep envoy` -H -b

top - 01:13:52 up 42 days, 14:01,  0 users,  load average: 17.79, 14.09, 10.73
Threads:  28 total,   2 running,  26 sleeping,   0 stopped,   0 zombie
%Cpu(s): 42.0 us,  7.3 sy,  0.0 ni, 46.9 id,  0.0 wa,  0.0 hi,  3.7 si,  0.1 st
MiB Mem : 94629.32+total, 67159.44+free, 13834.21+used, 13635.66+buff/cache
MiB Swap:    0.000 total,    0.000 free,    0.000 used. 80094.03+avail Mem 

   PID USER      PR  NI    VIRT    RES    SHR S  %CPU  %MEM     TIME+ COMMAND
    42 istio-p+  20   0  0.274t 221108  43012 R 60.47 0.228 174:48.28 wrk:worker_1
    41 istio-p+  20   0  0.274t 221108  43012 R 55.81 0.228 149:33.37 wrk:worker_0
    18 istio-p+  20   0  0.274t 221108  43012 S 0.332 0.228   2:22.48 envoy

At the same time, it was found that the increase in the concurrent pressure from the client did not significantly increase the CPU usage of the 2 worker threads envoy to 100%. The situation that hyper-threaded CPU cores cannot achieve core*2 performance has come. What to do? Try adding workers.

Tunning

Istio can customize Envoy Filter Chain with EnvoyFilter, so I try it:

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kubectl apply -f - <<"EOF"
apiVersion: networking.istio.io/v1alpha3
kind: EnvoyFilter
metadata:
  ...
  name: stats-filter-1.8
spec:
  configPatches:
  - applyTo: HTTP_FILTER
    match:
      context: SIDECAR_OUTBOUND
      listener:
        filterChain:
          filter:
            name: envoy.http_connection_manager
            subFilter:
              name: envoy.router
      proxy:
        proxyVersion: ^1\.8.*
    patch:
      operation: INSERT_BEFORE
      value:
        name: istio.stats
        typed_config:
          '@type': type.googleapis.com/udpa.type.v1.TypedStruct
          type_url: type.googleapis.com/envoy.extensions.filters.http.wasm.v3.Wasm
          value:
            config:
              configuration:
                '@type': type.googleapis.com/google.protobuf.StringValue
                value: |
                  {
                  }
              root_id: stats_outbound
              vm_config:
                allow_precompiled: true
                code:
                  local:
                    inline_string: envoy.wasm.stats
                runtime: envoy.wasm.runtime.null
                vm_id: stats_outbound
...
EOF

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kubectl apply -f - <<"EOF"
apiVersion: networking.istio.io/v1alpha3
kind: EnvoyFilter
metadata:
  name: metadata-exchange-1.8
spec:
  configPatches:
  - applyTo: HTTP_FILTER
    match:
      context: SIDECAR_INBOUND
      listener:
        filterChain:
          filter:
            name: envoy.http_connection_manager
      proxy:
        proxyVersion: ^1\.8.*
    patch:
      operation: INSERT_BEFORE
      value:
        name: istio.metadata_exchange
        typed_config:
          '@type': type.googleapis.com/udpa.type.v1.TypedStruct
          type_url: type.googleapis.com/envoy.extensions.filters.http.wasm.v3.Wasm
          value:
            config:
              configuration:
                '@type': type.googleapis.com/google.protobuf.StringValue
                value: |
                  {}
              vm_config:
                allow_precompiled: true
                code:
                  local:
                    inline_string: envoy.wasm.metadata_exchange
                runtime: envoy.wasm.runtime.null
...
EOF

Note: I later found out that the official standard version of Istio 1.8 uses Native Filters. Our environment is an internal custom version that uses wasm Filter by default (or a utopia based on security, isolation, portability over performance). So, probably for you, Native Filter is already the default configuration.

Below increase the number of worker threads of Envoy.

kubectl edit deployments.apps my-service-deployment

spec:
  template:
    metadata:
      annotations:
        proxy.istio.io/config: 'concurrency: 4'

Profile Sidecar CPU again

image-20210702232528945

Since the native Envoy filter was used instead of the WASM filter. As you can see in the figure above, the stack symbol resolved failure is gone. Measured CPU usage decreased by approximately 8% and latency decreased by 1ms too.

Summary

Instead of condemning the WASM Envoy filter configuration and thread configuration, think about why you have to pay for several days to locate this problem. When we are very excited to sit on a new technology boat, in addition to remembering to bring a lifebuoy, we must not forget: you are the captain, in addition to sailing, you should understand the working principle and maintenance technology of the ship, in order to cope with the accident!

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Mark Zhu
WRITTEN BY
Mark Zhu
An old developer