kubebuilder
metacontroller
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kubebuilder | metacontroller | |
---|---|---|
45 | 15 | |
7,384 | 775 | |
1.8% | 4.1% | |
9.2 | 8.4 | |
5 days ago | 4 days ago | |
Go | Go | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
kubebuilder
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SpinKube: Orchestrating light, fast and efficient WebAssembly (Wasm) workloads in Kubernetes (k8s)
The Spin operator uses the Kubebuilder framework and contains a Spin App Custom Resource Definition (CRD) and controller. It watches Spin App Custom Resources and realizes the desired state in the K8s cluster. Aside from the immediate benefits gained by running Wasm workloads in k8s, additional optimizations such as Horizontal Pod Scaling (HPA) and k8s Event-driven Autoscaling (KEDA) can be achieved in a pinch.
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Building a Kubernetes Operator with the Operator Framework
kubebuilder: brew install kubebuilder
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Annotations in Kubernetes Operator Design
The operator that I've been working on is designed to manage the full lifecycle of a QuestDB database instance, including version and hardware upgrades, config changes, backups, and (eventually) recovery from node failure. I used the Operator SDK and kubebuilder frameworks to provide scaffolding and API support.
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Kubebuilder Tips and Tricks
Recently, I've been spending a lot of time writing a Kubernetes operator using the go operator-sdk, which is built on top of the Kubebuilder framework. This is a list of a few tips and tricks that I've compiled over the past few months working with these frameworks.
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We moved our Cloud operations to a Kubernetes Operator
Since we built our operator using the Kubebuilder framework, most standard monitoring tasks were handled for us out-of-the-box. Our operator automatically exposes a rich set of Prometheus metrics that measure reconciliation performance, the number of k8s API calls, workqueue statistics, and memory-related metrics. We we were able to ingest these metrics into pre-built dashboards by leveraging the grafana/v1-alpha plugin, which scaffolds two Grafana dashboards to monitor Operator resource usage and performance. All we had to do was add these to our existing Grafana manifests and we were good to go!
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Has anyone ever tried to learn how k8s works?
I wrote a CSI driver and some operators. I admire K8s, because you can find solution to almost any problem in the source code - API versioning, load balancing, request throttling, optimistic concurrency, security, and much much more. I recommend https://book.kubebuilder.io/ It is similar to Operator SDK, but without Openshift-specific stuff. It gradually introduces you to many k8s concepts, and follows design patterns that k8s uses internally.
- What Is A Kubernetes Operator?
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If you write a Kubernetes Operator: Events vs Conditions?
Do you mean this: https://book.kubebuilder.io/ ?
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Kubernetes Operators
https://book.kubebuilder.io/ all you need to know
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Writing a Kubernetes Operator
A better way to write an operator these days is to use kubebuilder [1].
My complaint is that I have seen orgs write operators for random stuff, often reinventing the wheel. Lot of operators in orgs are result of resume driven development. Having said that it often comes handy for complex orchestration.
[1]https://github.com/kubernetes-sigs/kubebuilder
metacontroller
- What Is A Kubernetes Operator?
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Why is Kubernetes adoption so hard?
It worth adopt proper controller development with something like Metacontroller, Kopf or Java Operator SDK.
- What is your approach to adding custom labels to a pod in a deployment that's managed by a helm chart?
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is there a way to set expiry date for k8s rbac setting?
There are many frameworks, like the Operator Framework (https://operatorframework.io/) to the MetaController (https://github.com/metacontroller/metacontroller) to KubeBuilder(https://github.com/kubernetes-sigs/kubebuilder) to the Kubernetes Operator Framework (kopf, https://kopf.readthedocs.io/en/stable/), among others.
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Is there a tutorial on how to write an Operator in Go?
You might like a little alternative to writing your own in the first instance:) take a look at https://metacontroller.github.io/metacontroller/
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Writing an Operator from scratch
Codegen is not magic, but if you want to make it simple stupid, supportable and prod-usable I'd go for metacontroller. There's not much magic to it - just common admission/validation webhooks propagated to your controller implementation, alongside the simplest possible reconciliation cycle. We had adopted Knative driven metacontrollers and it's a pretty solid approach.
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For what should I take a look?
https://github.com/metacontroller/metacontroller - Sounds cool! I will look into it.
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Dynamic Mutating Pod Admission Controller?
When I need a quick mutating controller, I like to use MetaController, which makes rapid prototyping really easy: https://metacontroller.github.io/metacontroller/
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Best option to write a CRD today?
If you are more into lightweight and common use cases, look at metacontroller or the shell-operator.
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What's the number one annoyance that drives you crazy about Kubernetes?
In case you've not heard of it, the metacontroller aims to do exactly this. It provides the controller-lifecycle (registering your types, watching the API for changes, etc), you just need to provide a HTTP webhook to receive the JSON object, and respond with the modifications\resources you want.
What are some alternatives?
helm-operator - Successor: https://github.com/fluxcd/helm-controller — The Flux Helm Operator, once upon a time a solution for declarative Helming.
shell-operator - Shell-operator is a tool for running event-driven scripts in a Kubernetes cluster
client-go - Go client for Kubernetes.
minikube - Run Kubernetes locally
operator-sdk - SDK for building Kubernetes applications. Provides high level APIs, useful abstractions, and project scaffolding.
kubernetes - Production-Grade Container Scheduling and Management
crossplane - The Cloud Native Control Plane
akrobateo - Akrobateo is a simple Kubernetes operator to expose in-cluster LoadBalancer services as node hostPorts using DaemonSets.
kubegres - Kubegres is a Kubernetes operator allowing to deploy one or many clusters of PostgreSql instances and manage databases replication, failover and backup.
k8s-bigip-ctlr - Repository for F5 Container Ingress Services for Kubernetes & OpenShift.
python - Official Python client library for kubernetes
keepalived-operator - An operator to manage VIPs backed by keepalived