Autoscaler Alternatives
Similar projects and alternatives to autoscaler
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karpenter
Kubernetes Node Autoscaling: built for flexibility, performance, and simplicity.
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cluster-proportional-autoscaler
Kubernetes Cluster Proportional Autoscaler Container
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SonarLint
Deliver Cleaner and Safer Code - Right in Your IDE of Choice!. SonarLint is a free and open source IDE extension that identifies and catches bugs and vulnerabilities as you code, directly in the IDE. Install from your favorite IDE marketplace today.
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k3s-aws-terraform-cluster
Deploy an high available K3s cluster on Amazon AWS
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aws-ebs-csi-driver
CSI driver for Amazon EBS https://aws.amazon.com/ebs/
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keda
KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes
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aws-node-termination-handler
Gracefully handle EC2 instance shutdown within Kubernetes
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Scout APM
Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.
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metrics-server
Scalable and efficient source of container resource metrics for Kubernetes built-in autoscaling pipelines.
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kops
Kubernetes Operations (kops) - Production Grade K8s Installation, Upgrades, and Management
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terraform
Terraform enables you to safely and predictably create, change, and improve infrastructure. It is an open source tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
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microk8s
MicroK8s is a small, fast, single-package Kubernetes for developers, IoT and edge.
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Grafana
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
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Dokku
A docker-powered PaaS that helps you build and manage the lifecycle of applications
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Pinpoint
APM, (Application Performance Management) tool for large-scale distributed systems.
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conduit
Ultralight, security-first service mesh for Kubernetes. Main repo for Linkerd 2.x.
autoscaler reviews and mentions
- How to rebalance underutilized nodes with CA without single replica Pod downtime?
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Set optimal Kubernetes container requests in seconds using Kubecost
With all that said I like the idea of this, does it use https://github.com/kubernetes/autoscaler/tree/master/vertical-pod-autoscaler and or https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/ underneath
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Cloud Agnostic Way for Autoscaling Kubernetes
The company I am currently working at is looking into Cloud Agnostic Ways for autoscaling worker nodes on Kuberentes. We know that cluster autoscaler already exists. However, the problem with it seems to be that you need to rewrite or reimplement the autoscaling aspect when switching cloud providers according to this article.
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Kubernetes for Startups: Practical Considerations for Your App
Cluster - Nodes: This is the number of EC2 instances required to satisfy the application requirements. The cluster-autoscaler or karpenter projects are great for this.
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AWS Karpenter Hands-on
Karpenter - Just-in-time Nodes for Any Kubernetes Cluster. It is one of Node-based autoscaling (adding or removing nodes as needed) beyond cluster autoscaler.
- We decided to move 90% of our workload from the cloud to on-prem infrastructure
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Use Kubernetes to load test my product.
Install the Cluster Autoscaler to automatically scale up the nodes in your cluster
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Practical Introduction to Kubernetes Autoscaling Tools with Linode Kubernetes Engine
Vertical Pod Autoscaler allows you to adjust the resource capacity of a single instance dynamically. In the context of pods, this involves changing the amount of CPU and memory resources available to the pod. Unlike HPA, which is included in the core Kubernetes, the VPA requires you to install three controller components in addition to the Metrics Server. The following diagram illustrates Kubernetes components and their interactions with the VPA:
- Kubernetes 의 Resources 설정을 위한 VPA 및 Goldilocks
- Spring Boot 서비스를 위한 Kubernetes 설정
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Using Prometheus metrics to trigger autoscaling in aws.
The Cluster Autoscaler does an excellent job at it. As soon as it sees pending pods it will add as much nodes needed to supply it. Check it out: https://github.com/kubernetes/autoscaler/tree/master/cluster-autoscaler
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I created a new controller for Kubernetes, the Volume Autoscaler to save from manually scaling volumes in Kubernetes for myself (and my fellow DevOps folks). Would love feedback from the community
I believe you are talking about https://github.com/kubernetes/autoscaler/tree/master/cluster-autoscaler and if so that only scales up nodes. It doesn’t expand disks. This service expands volumes (which are pvcs)
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Common Performance Management Mistakes
Azure Kubernetes Services (AKS) with Kubernetes Cluster Autoscaler are used as the main distributed environment and mechanism to scale compute power under load.
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Karpenter vs Cluster Autoscaler?
With most realistic setups, you will anyway not care too much about the pre-scheduling feature (scheduling per definition is something your cluster will do over and over again), and if you need different instance types (e.g., GPU support), you should have that as part of your Cluster Autoscaler setup anyway.
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How does one "install" Kubernetes on a virtual machine and join multiple machines in a cluster? AWS EC2 machines with Cluster Autoscaler (NOT EKS)
Currently I am trying to have Microk8s work as a cluster and this implicates getting the microk8s join and microk8s leave/remove-node working correctly when machines join/leave the cluster. I am working with AWS EC2 and using AWS Cluster Autoscaler to scale up and down my Auto Scaling groups.
Stats
kubernetes/autoscaler is an open source project licensed under Apache License 2.0 which is an OSI approved license.
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