goldilocks VS werf

There's also tools like Goldilocks that can help with resource request planning.

I recently installed this into our cluster and it provides you a recommendation of what your resources should be set to based on VPA in monitor mode. https://github.com/FairwindsOps/goldilocks

While not directly what you're asking, a tool like Goldilocks combined with Kubernetes' Vertical Pod Autoscaler can give you an idea of the real CPU and memory consumption of your applications over a period of time. It's mainly used for cloud cost control, but could be useful.

We use it in a limited fashion as part of Goldilocks. Not all namespaces have it enabled, but any team that wants to use it can request their namespace be enabled.

https://github.com/openshift/cluster-kube-descheduler-operator https://github.com/FairwindsOps/goldilocks

We use https://github.com/FairwindsOps/goldilocks (zero affiliation) in our load testing environment and work from the recommendations there.

kops - Production Grade K8s Installation, Upgrades, and Management silver-surfer - Check ApiVersion compatibility and provide Migration path for Kubernetes objects when upgrading Kubernetes to latest versions Kube-ops-view - Kubernetes Operational View - read-only system dashboard for multiple K8s clusters kubeprompt - Kubernetes prompt info Metalk8s - An opinionated Kubernetes distribution with a focus on long-term on-prem deployments kind - Kubernetes IN Docker - local clusters for testing Kubernetes Clusterman - Cluster Autoscaler for Kubernetes and Mesos Cert-manager - Automatically provision and manage TLS certificates Goldilocks - Get your resource requests "Just Right" katafygio - Dump, or continuously backup Kubernetes objets as yaml files in git Rancher - Complete container management platform Sealed Secrets - A Kubernetes controller and tool for one-way encrypted Secrets OpenKruise/Kruise - Automate application workloads management on Kubernetes https://openkruise.io kubectl snapshot - Take Cluster Snapshots kapp - simple deployment tool focused on the concept of "Kubernetes application" — a set of resources with the same label https://get-kapp.io keda - Event-driven autoscaler for Kubernetes Octant - To better understand the complexity of Kubernetes clusters Portainer - Portainer inside a Kubernetes environment Gardener - Deliver fully-managed clusters at scale everywhere with your own Kubernetes-as-a-Service Kubed - Kubernetes Cluster Operator Daemon Kubestack - Kubestack is the free and open-source GitOps framework to codify your custom platform stack using Terraform.

Come help us build great open source and commercial software for Kubernetes! You may know us from projects like Polaris and Goldilocks. We're building an inclusive, learning-driven, remote-first culture and are looking to grow our team.

I am looking as well for this kind of tool. I just took a look today by exploring the CNCF landscape this tool : https://werf.io/ , I haven't used it, but it seems to take care of painful stuff like automatic versioning for example. (If someone here tried it, I will be happy to listen to your feedbacks)

Werf - um ok

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.

Check out https://werf.io/ tool. It features giterminism which is somewhat similar to gitops, but it does not require pull model. Giterminism aims to improve reproducibility of your build and deploy configuration. werf also features content-based-tagging out of the box, which allows creating immutable images, stored in the container-registry, shared between multiple runners (werf uses distributed locking to prevent overriding image which is already published). Giterminism and content-based-tagging enables easy rollbacks to any git-commit in the history of your project. By design werf could be embedded into any ci/cd system.

Rename of dapp to werf was in Jan'19 to be precise (https://github.com/werf/werf/pull/1213).

Werf

You can try werf, it has Helm under the hood and there are github actions available for it: https://github.com/werf/actions

As you know, there's plenty of tools that can be used to build your Docker images, besides the docker build itself. werf is an Open Source project with a long history (started in 2016 as a simple wrapper around Docker CLI). Still being a CLI tool, today it is focused not just on the building but also delivering these images to Kubernetes — and this is what makes it really different.