kube-monkey
helm
kube-monkey | helm | |
---|---|---|
9 | 206 | |
2,920 | 26,045 | |
- | 0.5% | |
3.4 | 8.9 | |
13 days ago | 5 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.
kube-monkey
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Does your company have a Change Advisory Board (CAB)?
Not in the typical sense, but we have plenty of standard practices and cross-team checkpoints to limit risk. By the time we're deploying changes to production, the work has had a card created, assigned points (which necessarily involves discussing scope and risk), architected (as a group), code peer reviewed, hit unit tests (automated), integration tests (automated), functional tests (automated), smoke tested (automated) end-to-end tests (a few automated, but mostly manual by QA), acceptance tested (by QA and business), resilience tests (chaos engineering with kube-monkey), been deployed to at least 3 environments (with the same exact same artifacts, just with config changes), and monitored for failures (pod restarts, log anomalies, etc -- all automated). Deploy to production is well communicated, and ANY team can request a halt to the deploy if they have concerns.
- Kube-monkey: an implementation of Netflix's Chaos Monkey for Kubernetes clusters
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What happens when a service fails in your infra, or in other words, do you practice chaos engineering?
Part of being a cloud native company means designing services for failure. What happens, for example, if the payment service/pod goes down? Do the rest of your services continue operating normally? One thing tools like kube-monkey does is automatically kill pods for you on a certain date at a certain time in order to plan for failure events. Just wondering if anyone has dove into the deep end with this type of tooling and really just gone all out, besides Netflix?
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Chaos Mesh for chaos engineering in Kubernetes
Chaos Mesh is a popular solution (about 5k GitHub stars), but โ obviously โ not the only one. E.g., Litmus is a powerful platform to test many things, and kube-monkey might be a good option for more basic stuff.
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How many of you actually test your infrastructure code? For those that do, what benefits did you discover that testing brings to your code base?
Exactly the kind of thing I love to see! Sounds like a great use case for a tool like kube-monkey as well.
- GitHub - asobti/kube-monkey: An implementation of Netflix's Chaos Monkey for Kubernetes clusters
- kube-monkey: An implementation of Netflix's Chaos Monkey for Kubernetes clusters
- 27 open-source tools that can make your Kubernetes workflow easier ๐๐ฅณ
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Awesome Kubernetes Resources
Kube Monkey
helm
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Kubernetes CI/CD Pipelines
Applying Kubernetes manifests individually is problematic because files can get overlooked. Packaging your applications as Helm charts lets you version your manifests and easily repeat deployments into different environments. Helm tracks the state of each deployment as a "release" in your cluster.
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deploying a minio service to kubernetes
helm
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How to take down production with a single Helm command
Explanation here: https://github.com/helm/helm/issues/12681#issuecomment-19593...
Looks like it's a bug in Helm, but actually isn't Helm's fault, the issue was introduced by Fedora Linux.
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Building a VoIP Network with Routr on DigitalOcean Kubernetes: Part I
Helm (Get from here https://helm.sh/)
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The 2024 Web Hosting Report
Itโs also well understood that having a k8s cluster is not enough to make developers able to host their services - you need a devops team to work with them, using tools like delivery pipelines, Helm, kustomize, infra as code, service mesh, ingress, secrets management, key management - the list goes on! Developer Portals like Backstage, Port and Cortex have started to emerge to help manage some of this complexity.
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Deploying a Web Service on a Cloud VPS Using Kubernetes MicroK8s: A Comprehensive Guide
Kubernetes orchestrates deployments and manages resources through yaml configuration files. While Kubernetes supports a wide array of resources and configurations, our aim in this tutorial is to maintain simplicity. For the sake of clarity and ease of understanding, we will use yaml configurations with hardcoded values. This method simplifies the learning process but isnโt ideal for production environments due to the need for manual updates with each new deployment. Although there are methods to streamline and automate this process, such as using Helm charts or bash scripts, weโll not delve into those techniques to keep the tutorial manageable and avoid fatigue โ you might be quite tired by that point!
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Deploy Kubernetes in Minutes: Effortless Infrastructure Creation and Application Deployment with Cluster.dev and Helm Charts
Helm is a package manager that automates Kubernetes applications' creation, packaging, configuration, and deployment by combining your configuration files into a single reusable package. This eliminates the requirement to create the mentioned Kubernetes resources by ourselves since they have been implemented within the Helm chart. All we need to do is configure it as needed to match our requirements. From the public Helm chart repository, we can get the charts for common software packages like Consul, Jenkins SonarQube, etc. We can also create our own Helm charts for our custom applications so that we donโt need to repeat ourselves and simplify deployments.
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Kubernets Helm Chart
We can search for charts https://helm.sh/ . Charts can be pulled(downloaded) and optionally unpacked(untar).
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Introduction to Helm: Comparison to its less-scary cousin APT
Generally I felt as if I was diving in the deepest of waters without the correct equipement and that was horrifying. Unfortunately to me, I had to dive even deeper before getting equiped with tools like ArgoCD, and k8slens. I had to start working with... HELM.
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๐ Five tools to make your K8s experience more enjoyable ๐
Within the architecture of Cyclops, a central component is the Helm engine. Helm is very popular within the Kubernetes community; chances are you have already run into it. The popularity of Helm plays to Cyclops's strength because of its straightforward integration.
What are some alternatives?
chaoskube - chaoskube periodically kills random pods in your Kubernetes cluster.
crossplane - The Cloud Native Control Plane
istio - Connect, secure, control, and observe services.
kubespray - Deploy a Production Ready Kubernetes Cluster
kube-bench - Checks whether Kubernetes is deployed according to security best practices as defined in the CIS Kubernetes Benchmark
Packer - Packer is a tool for creating identical machine images for multiple platforms from a single source configuration.
skaffold - Easy and Repeatable Kubernetes Development
krew - ๐ฆ Find and install kubectl plugins
kube-burner - Kubernetes performance and scale test orchestration framework written in golang
quay - Build, Store, and Distribute your Applications and Containers
dapr-demo - Distributed application runtime demo with ASP.NET Core, Apache Kafka and Redis on Kubernetes cluster.