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Calling gomega.Expect/Eventually/Consistently deep inside a helper call chain has several challenges: - the stack offset must be tracked correctly, otherwise the callstack for the failure starts at some helper code, which is often not informative - augmenting the failure message with additional information from each caller implies that each caller must pass down a string and/or format string plus arguments Both challenges can be solved by returning errors: - the stacktrace is taken at that level where the error is treated as a failure instead of passing back an error, i.e. inside the It callback - traditional error wrapping can add additional information, if desirable What was missing was some easy way to generate an error via a gomega assertion. The new infrastructure achieves that by mirroring the Gomega/Assertion/AsyncAssertion interfaces with errors as return values instead of calling a fail handler. It is intentionally less flexible than the gomega APIs: - A context must be passed to Eventually/Consistently as first parameter because that is needed for proper timeout handling. - No additional text can be added to the failure through this API because error wrapping is meant to be used for this. - No need to adjust the callstack offset because no backtrace is recorded when a failure occurs. To avoid the useless "unexpected error" log message when passing back a gomega failure, ExpectNoError gets extended to recognize such errors and then skips the logging.
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.