Flux VS Bazel

Right. Flux was a handy little tool[1] that sync'd yaml manifests in git repos to live clusters. The concept was fascinating, and the tool was well done--small and efficient. Easy to learn.

In 2019, they announced they'd be "merging" with argocd[2]. It seems the merge never really took place, and after that they deprecated flux and announced flux2[3].

The sudden changes of course were a little confusing and perhaps not too well communicated.

1: https://github.com/fluxcd/flux

If you are looking at multiple instances of Flux on a cluster which is unmaintained, then most likely you are looking at Flux v1 which is the legacy version and users are all recommended to migrate to the new Flux v2 that has the feature of multiple git repositories and supporting to allow multiple syncs or even multiple tenants.

CI/CD: Tekton Flux

Use ArgoCD or Flux for Kubernetes, and Serverless Stack for your serverless Lambda applications.

HybridK8s Droid - Intelligence foor your favourite Delivery Platform Devtron - Software Delivery Workflow for Kubernetes Skaffold - Easy and Repeatable Kubernetes Development Apollo - Apollo - The logz.io continuous deployment solution over kubernetes Helm Cabin - Web UI that visualizes Helm releases in a Kubernetes cluster flagger - Progressive delivery Kubernetes operator (Canary, A/B Testing and Blue/Green deployments) Kubeform - Kubernetes CRDs for Terraform providers https://kubeform.com Spinnaker - Spinnaker is an open source, multi-cloud continuous delivery platform for releasing software changes with high velocity and confidence. http://www.spinnaker.io/ werf - GitOps tool to deliver apps to Kubernetes and integrate this process with GitLab and other CI tools Flux - GitOps Kubernetes operator Argo CD - Declarative continuous deployment for Kubernetes Tekton - A cloud native continuous integration and delivery (CI/CD) solution Jenkins X - Jenkins X provides automated CI+CD for Kubernetes with Preview Environments on Pull Requests using Tekton, Knative, Lighthouse, Skaffold and Helm KubeVela - KubeVela works as an application delivery control plane that is fully decoupled from runtime infrastructure ksonnet - A CLI-supported framework that streamlines writing and deployment of Kubernetes configurations to multiple clusters CircleCI - A cloud-based tool that helps build continuous integration and continuous delivery pipelines to Kubernetes.

Does a tool like this exist? I am aware of the argoCD image updater which is similar but not quite what I’m looking for, and am aware that flux has an old feature request for this https://github.com/fluxcd/flux/issues/2711

The blog post by Weaveworks, which coined the term GitOps in 2017, also names the first GitOps operator: Flux. In the meantime, this has been completely rewritten as Flux v2. In addition to Flux and Flux v2, the associated project "Flux" develops other components. Weaveworks has now handed the project over to the Cloud Native Computing Foundation (CNCF). By now, the project is in the second maturity level: incubator phase.

Here's our GitHub for Weave Flux and an overview of GitOps

Looks really neat. We have a not-super-trivial rails app that I want to move to docker one day, but kinda scared to make the jump. We're already using docker for development, plus even have a home-grown docker-compose setup for ephemeral labs, but it's clunky at best.

This seems like something that might provide a simple jumping board hopefully... Also bumped into fluxCD[0] recently which also looks interesting.

[0] https://github.com/fluxcd/flux

> It doesn't make all the other yaml files happen. It doesn't make the yaml files you no longer want happening, stop happening. It doesn't even tell you "these things were created by 'old' yaml files" and should be garbage collected (since it doesn't seem to have a sense of old yaml files).

This is definitely one piece of Kubernetes that is getting a lot of attention recently. The three tools I've been paying attention to are Argo CD[0], Flux[1], and Config Sync[2].

All of these allow you to point your repository to a cluster and sync resources from the repo to the cluster, including deletes.

[0] https://argoproj.github.io/argo-cd/

[1] https://github.com/fluxcd/flux

[2] https://cloud.google.com/kubernetes-engine/docs/add-on/confi...

Disclaimer: I work at GCP, but not on the GKE team. Opinions are my own.

Wow, if you curl it, there's a lot of boilerplate code there.

Maybe built using Bazel?

https://bazel.build

Bazel by Google

Luckily a feature to limit the disk cache size is in development: https://github.com/bazelbuild/bazel/issues/5139

This is a problem that Bazel (https://bazel.build) solves in a very convenient way. You can just keep using the paths relative to the repository root, and as long as you properly declare your test needs that file it will access it without problems. Or you can use the runfile libraries to access them too.

When doing research for this lab exercise I looked at both vcpkg and conan. Both are package managers that would automate the installation and configuration of my program with its dependencies. However, when it came to releasing and sharing my program my options were limited. For example, the central public registry for conan packages is conan-center, but these packages are curated and the process is very involved. There was no way conan-center would accept a class project like mine. Alternatively, I could host a conan package on a public Artifactory repository, but accessing the package requires users to add the repository to their conan remote. This already sounded like too many steps to expect regular users to follow - I already haven't setup any conan remotes, there's no way I could expect regular users to know about conan remotes, let alone have conan installed on their system. After discussing with people online and consulting my instructor, I ultimately decided to do a GitHub release. However, in the future I was encouraged to look into using CMake or bazel.

NOTE: I won’t mention SBT and Leiningen here because, with all due respect, they are niche build tools. I also won’t discuss Kobalt for the same reason (besides, it’s no longer actively maintained). Additionally, I won’t touch upon Bazel and Buck in this context, mainly because I’m not very familiar with them. If you have insights or comments about these tools, please feel free to share them in the comments 👇

> None of this solves C's only REAL problem (in my opinion) which is the lack of dependency management.

Bazel solves this really nicely, I know some people have strong opinions on it but I cannot recommend it enough

https://bazel.build/