b4a40cd43e
The following investigation occurred during development. Add TimingHistogram impl that shares lock with WeightedHistogram Benchmarking and profiling shows that two layers of locking is noticeably more expensive than one. After adding this new alternative, I now get the following benchmark results. ``` (base) mspreitz@mjs12 kubernetes % go test -benchmem -run=^$ -bench ^BenchmarkTimingHistogram$ k8s.io/component-base/metrics/prometheusextension goos: darwin goarch: amd64 pkg: k8s.io/component-base/metrics/prometheusextension cpu: Intel(R) Core(TM) i9-9880H CPU @ 2.30GHz BenchmarkTimingHistogram-16 22232037 52.79 ns/op 0 B/op 0 allocs/op PASS ok k8s.io/component-base/metrics/prometheusextension 1.404s (base) mspreitz@mjs12 kubernetes % go test -benchmem -run=^$ -bench ^BenchmarkTimingHistogram$ k8s.io/component-base/metrics/prometheusextension goos: darwin goarch: amd64 pkg: k8s.io/component-base/metrics/prometheusextension cpu: Intel(R) Core(TM) i9-9880H CPU @ 2.30GHz BenchmarkTimingHistogram-16 22190997 54.50 ns/op 0 B/op 0 allocs/op PASS ok k8s.io/component-base/metrics/prometheusextension 1.435s ``` and ``` (base) mspreitz@mjs12 kubernetes % go test -benchmem -run=^$ -bench ^BenchmarkTimingHistogramDirect$ k8s.io/component-base/metrics/prometheusextension goos: darwin goarch: amd64 pkg: k8s.io/component-base/metrics/prometheusextension cpu: Intel(R) Core(TM) i9-9880H CPU @ 2.30GHz BenchmarkTimingHistogramDirect-16 28863244 40.99 ns/op 0 B/op 0 allocs/op PASS ok k8s.io/component-base/metrics/prometheusextension 1.890s (base) mspreitz@mjs12 kubernetes % (base) mspreitz@mjs12 kubernetes % (base) mspreitz@mjs12 kubernetes % go test -benchmem -run=^$ -bench ^BenchmarkTimingHistogramDirect$ k8s.io/component-base/metrics/prometheusextension goos: darwin goarch: amd64 pkg: k8s.io/component-base/metrics/prometheusextension cpu: Intel(R) Core(TM) i9-9880H CPU @ 2.30GHz BenchmarkTimingHistogramDirect-16 27994173 40.37 ns/op 0 B/op 0 allocs/op PASS ok k8s.io/component-base/metrics/prometheusextension 1.384s ``` So the new implementation is roughly 20% faster than the original. Add overlooked exception, rename timingHistogram to timingHistogramLayered Use the direct (one mutex) style of TimingHistogram impl This is about a 20% gain in CPU speed on my development machine, in benchmarks without lock contention. Following are two consecutive trials. (base) mspreitz@mjs12 prometheusextension % go test -benchmem -run=^$ -bench Histogram . goos: darwin goarch: amd64 pkg: k8s.io/component-base/metrics/prometheusextension cpu: Intel(R) Core(TM) i9-9880H CPU @ 2.30GHz BenchmarkTimingHistogramLayered-16 21650905 51.91 ns/op 0 B/op 0 allocs/op BenchmarkTimingHistogramDirect-16 29876860 39.33 ns/op 0 B/op 0 allocs/op BenchmarkWeightedHistogram-16 49227044 24.13 ns/op 0 B/op 0 allocs/op BenchmarkHistogram-16 41063907 28.82 ns/op 0 B/op 0 allocs/op PASS ok k8s.io/component-base/metrics/prometheusextension 5.432s (base) mspreitz@mjs12 prometheusextension % go test -benchmem -run=^$ -bench Histogram . goos: darwin goarch: amd64 pkg: k8s.io/component-base/metrics/prometheusextension cpu: Intel(R) Core(TM) i9-9880H CPU @ 2.30GHz BenchmarkTimingHistogramLayered-16 22483816 51.72 ns/op 0 B/op 0 allocs/op BenchmarkTimingHistogramDirect-16 29697291 39.39 ns/op 0 B/op 0 allocs/op BenchmarkWeightedHistogram-16 48919845 24.03 ns/op 0 B/op 0 allocs/op BenchmarkHistogram-16 41153044 29.26 ns/op 0 B/op 0 allocs/op PASS ok k8s.io/component-base/metrics/prometheusextension 5.044s Remove layered implementation of TimingHistogram
Kubernetes (K8s)
Kubernetes, also known as K8s, is an open source system for managing containerized applications across multiple hosts. It provides basic mechanisms for deployment, maintenance, and scaling of applications.
Kubernetes builds upon a decade and a half of experience at Google running production workloads at scale using a system called Borg, combined with best-of-breed ideas and practices from the community.
Kubernetes is hosted by the Cloud Native Computing Foundation (CNCF). If your company wants to help shape the evolution of technologies that are container-packaged, dynamically scheduled, and microservices-oriented, consider joining the CNCF. For details about who's involved and how Kubernetes plays a role, read the CNCF announcement.
To start using K8s
See our documentation on kubernetes.io.
Try our interactive tutorial.
Take a free course on Scalable Microservices with Kubernetes.
To use Kubernetes code as a library in other applications, see the list of published components.
Use of the k8s.io/kubernetes module or k8s.io/kubernetes/... packages as libraries is not supported.
To start developing K8s
The community repository hosts all information about building Kubernetes from source, how to contribute code and documentation, who to contact about what, etc.
If you want to build Kubernetes right away there are two options:
You have a working Go environment.
mkdir -p $GOPATH/src/k8s.io
cd $GOPATH/src/k8s.io
git clone https://github.com/kubernetes/kubernetes
cd kubernetes
make
You have a working Docker environment.
git clone https://github.com/kubernetes/kubernetes
cd kubernetes
make quick-release
For the full story, head over to the developer's documentation.
Support
If you need support, start with the troubleshooting guide, and work your way through the process that we've outlined.
That said, if you have questions, reach out to us one way or another.
Community Meetings
The Calendar has the list of all the meetings in Kubernetes community in a single location.
Adopters
The User Case Studies website has real-world use cases of organizations across industries that are deploying/migrating to Kubernetes.
Governance
Kubernetes project is governed by a framework of principles, values, policies and processes to help our community and constituents towards our shared goals.
The Kubernetes Community is the launching point for learning about how we organize ourselves.
The Kubernetes Steering community repo is used by the Kubernetes Steering Committee, which oversees governance of the Kubernetes project.
Roadmap
The Kubernetes Enhancements repo provides information about Kubernetes releases, as well as feature tracking and backlogs.