385599f0a8
The previous tests were based on scheduling pods until the cluster was
full. This is a valid scenario, but not necessarily realistic.
More realistic is how quickly the scheduler can schedule new pods when some
old pods finished running, in particular in a cluster that is properly
utilized (= almost full). To test this, pods must get created, scheduled, and
then immediately deleted. This can run for a certain period of time.
Scenarios with empty and full cluster have different scheduling rates. This was
previously visible for DRA because the 50% percentile of the scheduling
throughput was lower than the average, but one had to guess in which scenario
the throughput was lower. Now this can be measured for DRA with the new
SteadyStateClusterResourceClaimTemplateStructured test.
The metrics collector must watch pod events to figure out how many pods got
scheduled. Polling misses pods that already got deleted again. There seems to
be no relevant difference in the collected
metrics (SchedulingWithResourceClaimTemplateStructured/2000pods_200nodes, 6 repetitions):
│ before │ after │
│ SchedulingThroughput/Average │ SchedulingThroughput/Average vs base │
157.1 ± 0% 157.1 ± 0% ~ (p=0.329 n=6)
│ before │ after │
│ SchedulingThroughput/Perc50 │ SchedulingThroughput/Perc50 vs base │
48.99 ± 8% 47.52 ± 9% ~ (p=0.937 n=6)
│ before │ after │
│ SchedulingThroughput/Perc90 │ SchedulingThroughput/Perc90 vs base │
463.9 ± 16% 460.1 ± 13% ~ (p=0.818 n=6)
│ before │ after │
│ SchedulingThroughput/Perc95 │ SchedulingThroughput/Perc95 vs base │
463.9 ± 16% 460.1 ± 13% ~ (p=0.818 n=6)
│ before │ after │
│ SchedulingThroughput/Perc99 │ SchedulingThroughput/Perc99 vs base │
463.9 ± 16% 460.1 ± 13% ~ (p=0.818 n=6)
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| .github | ||
| api | ||
| build | ||
| CHANGELOG | ||
| cluster | ||
| cmd | ||
| docs | ||
| hack | ||
| LICENSES | ||
| logo | ||
| pkg | ||
| plugin | ||
| staging | ||
| test | ||
| third_party | ||
| vendor | ||
| .generated_files | ||
| .gitattributes | ||
| .gitignore | ||
| .go-version | ||
| CHANGELOG.md | ||
| code-of-conduct.md | ||
| CONTRIBUTING.md | ||
| go.mod | ||
| go.sum | ||
| go.work | ||
| go.work.sum | ||
| LICENSE | ||
| Makefile | ||
| OWNERS | ||
| OWNERS_ALIASES | ||
| README.md | ||
| SECURITY_CONTACTS | ||
| SUPPORT.md | ||
Kubernetes (K8s)
Kubernetes, also known as K8s, is an open source system for managing containerized applications across multiple hosts. It provides basic mechanisms for the 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.
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.
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 the 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.