kubebuilder VS go-kit

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.

kubebuilder: brew install kubebuilder

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.

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.

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!

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.

Do you mean this: https://book.kubebuilder.io/ ?

https://book.kubebuilder.io/ all you need to know

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

https://github.com/go-kit/kit

. Web backend (with various frameworks available) . Web Assembly (one of them is vugu framework) . Microservices (some frameworks: Go Micro, Go Kit, Gizmo, Kite) . Fragments services (Term mentioned by @jeffotoni in a microservices discussion group) . Lambdas (FaaS example) . Client Server . Terminal applications (using the tview lib) . IoT (some frameworks) . Bots (some here) . Client Applications using Web technology . Desktop using Qt+QML, Native Win Lib (example Qt, Qt widgets, Qml) . Network Applications . Protocol applications . REST Applications . SOAP Applications . GraphQL Applications . RPC Applications . TCP Applications . gRPC Applications . WebSocket Applications . GopherJS (compiles Go to JavaScript)

To implement service discovery in our GoLang microservice we will use GoKit, a toolkit for microservices that provides support to auth, log, service discovery, tracing and more. For this starter code the mod already installed, you can skip this step

My company uses go-kit

For reference my company Go projects are built with (go-kit)[https://gokit.io/] design patterns.

5. kit. The kit framework is a programming toolkit for building robust, reliable, and maintainable microservices in Golang. It is a collection of packages and best practices that offer businesses of all sizes a thorough, reliable, and trustworthy way to create microservices. Go is a fantastic general-purpose language, but microservices need some specialized assistance. As a result, the kit framework offers infrastructure integration, system observability, and Remote Procedure Call (RPC) safety. Golang is a first-class language for creating microservices in any organization thanks to its composition of numerous closely related packages that together form an opinionated framework for building substantial Service-Oriented Architectures (SOAs).It was created with interoperability in mind, and developers are free to select the platforms, databases, components, and architectural styles that best suit their needs. The disadvantage of using go-kit is that it has a high overhead for adding API to the service because of how heavily it relies on interfaces. Documentation Link: https://github.com/go-kit/kit

At first I was confused but this GitHub user/org is completely different from the massively popular go-kit/kit https://github.com/go-kit/kit

https://github.com/go-kit/kit#related-projects

go-micro seems like it does a bit too much, like service discovery and balancing within the framework when that's likely better handled by an Envoy/Istio.

I think the more interesting aspect of this is the framework being used: https://github.com/micro/micro

I haven't dug into it at all yet, but at a glance it looks like it's aiming to do something similar to what Go kit (https://gokit.io/) or Finagle (https://twitter.github.io/finagle/) does, where it gives you a nice abstraction for defining your "service" and then handles all the supplementary aspects (service discovery, serialization, retry/circuit breaker logic, rate limiting, hooks for logging, tracing, and metrics, etc) so you don't have to build those from scratch every time.

I don't know if any of those other frameworks could really be considered very "successful" outside the original organizations they were built for (it seems like the industry has bet more on service meshes and API gateway products), but I'd probably be more inclined to start with one of them than making a new framework.