cluster-proportional-autoscaler
k9s
cluster-proportional-autoscaler | k9s | |
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3 | 128 | |
589 | 25,005 | |
0.8% | - | |
5.8 | 9.3 | |
16 days ago | 1 day 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.
cluster-proportional-autoscaler
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Practical Introduction to Kubernetes Autoscaling Tools with Linode Kubernetes Engine
The Cluster Proportional Autoscaler (CPA) is a horizontal pod autoscaler that scales replicas based on the number of nodes in the cluster. Unlike other autoscalers, it does not rely on the Metrics API and does not require the Metrics Server. Additionally, unlike other autoscalers we saw, a CPA is not scaled with a Kubernetes resource but instead uses flags to identify target workloads and a ConfigMap for scaling configuration. The following diagram illustrates the components of the CPA:
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K8s ephemeral application environments
Namespacing each environment would give you isolation, depending on how your service discovery works within the environment. You could consider the horizontal proportional autoscaler (or maybe KEDA) and hook it up to a metric for the queue depth. https://github.com/kubernetes-sigs/cluster-proportional-autoscaler
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Kubernetes Cluster Over-Provisioning: Proactive App Scaling
If we want to configure dynamic overprovisioning of a cluster (e.g. 20% of resources in the cluster) then we need to use Horizontal Cluster Proportional Autoscaler.
k9s
- Ask HN: Interesting TUIs (text user interfaces), maybe forgotten ones?
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Upgrading Hundreds of Kubernetes Clusters
Pierre: The first tool I recommend is K9s. It's not just a time-saver but a productivity booster. With its intuitive interface, you can speed up all the usual kubectl commands, access logs, edit resources and configurations, and more. It's like having a personal assistant for your cluster management tasks.
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Easy Access to Terminal Commands in Neovim using FTerm
The last thing you really need is a common set of tools that you want fingertip access to. I really commonly use LazyGit and K9s in my day job so those are the tools I will show off in this article.
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π Five tools to make your K8s experience more enjoyable π
K9s is your best friend (get it? πΆ) when exploring your cluster via the terminal. It shares commonality with Vim for its interaction style using shortcuts and starting commands with: but donβt let that discourage you. K9s keeps a vigilant eye on Kubernetes activities, providing real-time information and intuitive commands for resource interaction.
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Building a Kubernetes Operator with the Operator Framework
k9s: brew install k9s
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Harlequin: SQL IDE for Your Terminal
I would like to put in a vote for k9s, which is also on the list at Terminal Trove. [0] It's the most convenient tool I've ever found for Kubernetes management. Based on that experience I'll definitely be checking out Harlequin.
[0] https://k9scli.io/
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Your First K8S+Istio
$ wget https://github.com/derailed/k9s/releases/download/v0.29.1/k9s_Darwin_amd64.tar.gz $ tar -xzf k9s_Darwin_amd64.tar.gz $ sudo mv k9s /usr/local/bin/
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Seeking Guidance for Transitioning to Kubernetes and SRE/DevOps for traditional infrastructure team
All in all, run things, do some kubectl apply -f something.yml every day, install k9s, and try to configure a big one cluster at some point.
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Architecting for Resilience: Crafting Opinionated EKS Clusters with Karpenter & Cilium Cluster Mesh β Part 1
(K9s is one of my favorite tools for navigating Kubernetes clusters through the CLI).
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Top 10 CLI Tools for DevOps Teams
K9s is an open-source, terminal-based UI for interacting with your Kubernetes clusters, making navigating, observing, and managing your apps easier. If you use Kubectl but wish it was easier and faster to use, K9s might be just what you're looking for!
What are some alternatives?
autoscaler - Autoscaling components for Kubernetes
lens - Lens - The way the world runs Kubernetes
k8s-prometheus-adapter - An implementation of the custom.metrics.k8s.io API using Prometheus
k8s - How to deploy Portainer inside a Kubernetes environment.
Overprovisioner
minikube - Run Kubernetes locally
metrics-server - Scalable and efficient source of container resource metrics for Kubernetes built-in autoscaling pipelines.
popeye - π A Kubernetes cluster resource sanitizer
vcluster - vCluster - Create fully functional virtual Kubernetes clusters - Each vcluster runs inside a namespace of the underlying k8s cluster. It's cheaper than creating separate full-blown clusters and it offers better multi-tenancy and isolation than regular namespaces.
k3s - Lightweight Kubernetes
dotnet-pressure-api - An API that can apply memory and CPU pressure to test autoscaling rules in Kubernetes
stern - β Multi pod and container log tailing for Kubernetes