Scheduler Performance Test ====== Motivation ------ We already have a performance testing system -- Kubemark. However, Kubemark requires setting up and bootstrapping a whole cluster, which takes a lot of time. We want to have a standard way to reproduce scheduling latency metrics result and benchmark scheduler as simple and fast as possible. We have the following goals: - Save time on testing - The test and benchmark can be run in a single box. We only set up components necessary to scheduling without booting up a cluster. - Profiling runtime metrics to find out bottleneck - Write scheduler integration test but focus on performance measurement. Take advantage of go profiling tools and collect fine-grained metrics, like cpu-profiling, memory-profiling and block-profiling. - Reproduce test result easily - We want to have a known place to do the performance related test for scheduler. Developers should just run one script to collect all the information they need. Currently the test suite has the following: - density test (by adding a new Go test) - schedule 30k pods on 1000 (fake) nodes and 3k pods on 100 (fake) nodes - print out scheduling rate every second - let you learn the rate changes vs number of scheduled pods - benchmark - make use of `go test -bench` and report nanosecond/op. - schedule b.N pods when the cluster has N nodes and P scheduled pods. Since it takes relatively long time to finish one round, b.N is small: 10 - 100. How To Run ------ ``` cd kubernetes/test/component/scheduler/perf ./test-performance.sh ``` [![Analytics](https://kubernetes-site.appspot.com/UA-36037335-10/GitHub/test/component/scheduler/perf/README.md?pixel)]() [![Analytics](https://kubernetes-site.appspot.com/UA-36037335-10/GitHub/test/integration/scheduler_perf/README.md?pixel)]()