bedrock
karpenter-provider-aws
bedrock | karpenter-provider-aws | |
---|---|---|
2 | 57 | |
122 | 7,005 | |
- | 2.1% | |
2.5 | 9.8 | |
over 3 years ago | 6 days ago | |
HCL | Go | |
MIT License | 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.
bedrock
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Project includes a dependancy that has a license that forbids its use
I'm glad that I can now say that I've contributed Windows support to a project which I probably violated the license of while working on :P
By technicality, the license has been violated by quite a large variety of corporations: Microsoft, AWS, Heroku, Bilibili, Baidu, Apache, Arduino, etc. [0~6], and much much more [7]
Crazy.
[0]: https://github.com/microsoft/bedrock/blob/a0ab244a80a94133cb...
- azure yaml example, run multiple shell commands
karpenter-provider-aws
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EKS'pert Automation: Amazon EKS Auto Mode and Karpenter in action
This blog explores how Karpenter and EKS Auto Mode transform Amazon Kubernetes cluster management.
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Key Lessons and Mistakes from Setting Up EKS Clusters
Simplify Data Plane Upgrades: Use Managed Node Groups for automated rolling updates or Karpenter for dynamic node provisioning, making node upgrades easier and less error-prone.
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Optimize AWS Cloud Costs
Implement Instance Autoscaling: Configure autoscaling for worker nodes by using Karpenter to adjust resources based on demand dynamically.
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How to use the AWS Load Balancer Controller to connect multiple EKS clusters with existing Application Load Balancers
A point worth noting is that using the AWS Load Balancer Controller decouples your node management with your cluster management. Let’s say we wanted to use Karpenter for autoscaling instead of the defacto cluster-autoscaler. Karpenter will not use AWS AutoScalingGroups but will instead create standalone EC2 instances based on the Provisioners you define. This means our previous approach of attaching AutoScalingGroups with TargetGroups will not work as the EC2 instances Karpenter manages will not belong to the AutoScalingGroup and therefore not be automatically attached to the TargetGroup. The AWS Load Balancer Controller doesn’t care how the nodes are created; only that they belong to the cluster and match the label selectors defined. Probably we will look into Karpenter again in the near future for our project now that it supports pod anti-affinity, as this was previously a blocker for us.
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12 Tools that will make Kubernetes management easier in 2024
Built in AWS, Karpenter is a high-performance, flexible, open-source Kubernetes cluster auto-scaler. One of its key features is the ability to launch EC2 instances based on specific workload requirements such as storage, compute, acceleration, and scheduling needs.
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Optimiza tu cluster EKS con Karpenter
Documentación Oficial de Karpenter Post Community AWS - Christian Melendez (AWS) Video Explicativo Karpenter Workshop Karpenter (AWS)
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Deploy scalable, cost-effective event-driven workloads with Amazon EKS, KEDA, and Karpenter
Karpenter is a high-performance Kubernetes cluster autoscaler that dynamically provisions worker nodes to meet the resource demands of unscheduled pods.
- Just-in-Time Nodes for Any Kubernetes Cluster
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Demystifying Azure Kubernetes Cluster Automatic
Karpenter: https://karpenter.sh/
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Clusters Are Cattle Until You Deploy Ingress
Dan: Argo CD is the first tool I install. For AWS, I will add Karpenter to manage costs. I will also use Longhorn for on-prem storage solutions, though I'd need ingress. Depending on the situation, I will install Argo CD first and then one of those other two.
What are some alternatives?
java-buildpack - Heroku Cloud Native Buildpack for Java
keda - KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes
camel-k - Apache Camel K is a lightweight integration platform, born on Kubernetes, with serverless superpowers
autoscaler - Autoscaling components for Kubernetes
devops-stack - 🌊 An all-in-one Kubernetes ☸ stack using Argo CD 🐙 and Terraform as base components
openrasp - 🔥Open source RASP solution
overlord - Overlord是哔哩哔哩基于Go语言编写的memcache和redis&cluster的代理及集群管理功能,致力于提供自动化高可用的缓存服务解决方案。
k8s-hetzner - A Kubernetes cluster provisioned with Terraform, running in Hetzner Cloud
karpenterwebsite
heroku-buildpack-java - Heroku's classic buildpack for Java applications.
cyclops - Developer Friendly Kubernetes 👁️