From 395660b4f302f9b5adeafd7a4bc953d664451044 Mon Sep 17 00:00:00 2001 From: Martin Kuba Date: Wed, 1 Nov 2023 17:10:59 -0700 Subject: [PATCH] perf testing blog post --- content/en/blog/2023/perf-testing/index.md | 84 ++++++++++++++++++ .../perf-testing/java-benchmark-results.png | Bin 0 -> 320491 bytes .../perf-testing/js-benchmark-results.png | Bin 0 -> 97115 bytes 3 files changed, 84 insertions(+) create mode 100644 content/en/blog/2023/perf-testing/index.md create mode 100644 content/en/blog/2023/perf-testing/java-benchmark-results.png create mode 100644 content/en/blog/2023/perf-testing/js-benchmark-results.png diff --git a/content/en/blog/2023/perf-testing/index.md b/content/en/blog/2023/perf-testing/index.md new file mode 100644 index 000000000000..c7dbc543ff8f --- /dev/null +++ b/content/en/blog/2023/perf-testing/index.md @@ -0,0 +1,84 @@ +--- +title: Performance benchmark testing for OTel components +linkTitle: Performance benchmark testing +date: 2023-11-01 +author: '[Martin Kuba](https://github.com/martinkuba) (Lightstep)' +cSpell:ignore: Kuba +--- + +As more and more users are looking to use OpenTelemetry instrumentation in their +production deployments, one important consideration is the impact that +OpenTelemetry will have on their application performance. In this blog post I +will discuss a few recent improvements in tooling around performance +benchmarking. Measuring performance overhead Instrumentation is not free - it +intercepts an application's operations and collects (often) a large amount of +data, which takes additional CPU and memory. This can have a direct effect on +throughput and response time, which can affect the end-user experience with the +application. It can also have an impact on operational cost, e.g. increasing the +number of instances a service runs on. + +Providing general guidance about performance overhead is inherently difficult. +There are many factors that affect performance - the application throughput, +hardware the application runs on, what exactly is instrumented, how the +OpenTelemetry SDK is configured, sampling etc. Ultimately the best way to +measure performance is in the context of the specific application, e.g. by +running a load test. + +With that said a number of OpenTelemetry components include performance tests +that help catch regressions and can be used to provide some idea of their +performance characteristics. + +### OpenTelemetry Collector + +The OpenTelemetry Collector runs +[end-to-end load tests](https://github.com/open-telemetry/opentelemetry-collector-contrib/actions/workflows/load-tests.yml) +on every merge to the main branch. There have been two recent updates to the CI +workflow. + +First, it has been updated to run on community-owned bare metal machines. This +makes the test results more consistent. + +Secondly, the test results are now published automatically. A subset of the load +test results is available on the +[OpenTelemetry docs site](https://opentelemetry.io/docs/collector/benchmarks/). +And all test results are available on +[GitHub pages](https://open-telemetry.github.io/opentelemetry-collector-contrib/benchmarks/loadtests/) +of the Collector repository. + +### Language SDKs + +A number of OpenTelemetry SDKs already include existing micro-benchmark tests. +These tests measure performance of smaller pieces of the OpenTelemetry SDK in +isolation. + +Example benchmark tests: + +- [Java](https://github.com/open-telemetry/opentelemetry-java/blob/main/sdk/trace/src/jmh/java/io/opentelemetry/sdk/trace/SpanBenchmark.java) +- [Python](https://github.com/open-telemetry/opentelemetry-python/blob/main/opentelemetry-sdk/tests/performance/benchmarks/trace/test_benchmark_trace.py) +- [Go](https://github.com/open-telemetry/opentelemetry-go/blob/main/sdk/trace/benchmark_test.go) +- [JavaScript](https://github.com/open-telemetry/opentelemetry-js/blob/main/packages/opentelemetry-sdk-trace-base/test/performance/benchmark/span.js) + +These tests were run only on demand in the past. With the recent tooling +improvements, Java and JavaScript tests are now run automatically on every merge +to the main branch, and the results are published for anyone to easily access. +The tests are also run on community-owned bare metal machines, so that the +results are as consistent as possible. + +Published +[benchmark results for Java](https://open-telemetry.github.io/opentelemetry-java/benchmarks/) +![Java benchmark results](java-benchmark-results.png 'Java benchmark results') + +Published +[benchmark results for JavaScript](https://open-telemetry.github.io/opentelemetry-js/benchmarks/) +![JavaScript benchmark results](js-benchmark-results.png 'JavaScript benchmark results') + +There is work in progress to make the same updates for Python and Go. + +### Conclusion + +Performance optimization is often considered only as an afterthought, but it +does not have to be. We are making improvements to automated tooling and +documentation to provide project maintainers and the community with reliable +performance testing during development. Ultimately our focus as a community is +to give end users confidence when using our components, especially around the +impact of OpenTelemetry's instrumentation on their applications’ performance. diff --git a/content/en/blog/2023/perf-testing/java-benchmark-results.png b/content/en/blog/2023/perf-testing/java-benchmark-results.png new file mode 100644 index 0000000000000000000000000000000000000000..67dba5a6ccd5410f98d5e6c32c03648ff4bd6eb5 GIT binary patch literal 320491 zcmeFZc{r8r+csRLBuSDvR$3tmAyYC%nWrSl9Fj~SBoRWAOd&&rgd|g@WUi1(l8}Uu z%=47#+gHE$dEWQ?zCXV0`~O+ny>;KWmbI?yJdg7@_G91o;|kHyI=z#Ijb_W1Ejv|J zl=QZ2p_1RSg*=>^3_s!clOT?Nk-I9Y>QhrwclT@eZP`NDqN=2z@0m1S>EWio6u;>^ zHUCpAUDruPk@7Y@q1EbcHqA$K_KWv4XLz)J4N6utO(u{3wyNfBYO*Pkb$=}wvWJ=0 zT|@M#2YnjN_J#XiDXsIeuERf9R|ll3F8LhTPhN7-UM{cN+^soNJ!MIzW%XpCfI5NN z|9}6}SWh!GCb;GQ_zAVY1{ICr|Lr{|cmB^0{*M)E{Gavs{~aG;egC4Yv6MC8X>f3G zrD>j4W@uR0`m4}@{|d(0FbYZm3WbO~npkUgHnzpdo-t=hy)$P#CV#{~crbsBdGxp@ 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