autoscaler
keda
Our great sponsors
autoscaler | keda | |
---|---|---|
89 | 91 | |
7,617 | 7,729 | |
1.8% | 2.5% | |
9.5 | 9.5 | |
5 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.
autoscaler
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Upgrading Hundreds of Kubernetes Clusters
We use Cluster Autoscaler to automatically adjust the number of nodes (cluster size) based on your actual usage to ensure efficiency. Additionally, we deploy Vertical and Horizontal Pod Autoscalers to scale your applications' resources as their needs change automatically.
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Not Everything Is Google's Fault (Just Most Things)
> * Hetzner: cheap, good service, the finest pets in the world, no cattle
You can absolutely do cattle with Hetzner. They support imaging and immutable infrastructure. They don't have a native auto scaling equivalent, but if you're using Kubernetes, they have a cluster autoscaler: https://github.com/kubernetes/autoscaler/blob/master/cluster...
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Kubernetes(K8s) Autoscaler — a detailed look at the design and implementation of VPA
Here we take the VPA as a starting point to analyze the design and implementation principles of the VPA in Autoscaler. The source code for this article is based on Autoscaler HEAD fbe25e1.
- Scaling with Karpenter and Empty Pod(A.k.a Overprovisioning)
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Reducing Cloud Costs on Kubernetes Dev Envs
Autoscaling over EKS can be accomplished using either the cluster-autoscaler project or Karpenter. If you want to use Spot instances, consider using Karpenter, as it has better integrations with AWS for optimizing spot pricing and availability, minimizing interruptions, and falling back to on-demand nodes if no spot instances are available.
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☸️ Managed Kubernetes : Our dev is on AWS, our prod is on OVH
Autoscaling is already provided on OVH, but we don't use it for now. Autoscaler has to be manually installed on the AWS/EKS cluster.
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relevant way of scaling pods
do you mean this: https://github.com/kubernetes/autoscaler/blob/master/vertical-pod-autoscaler/pkg/recommender/README.md
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Kubernetes Cluster Maintenance
Read more about this scaler in detail here!
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Anyone running Windows nodes in your clusters?
We have a default node group of Linux hosts, but there's a secondary nodegroup of Windows hosts that is typically scaled down to 0. When a team's build runs, a pod is scheduled based on their definition. Cluster-autoscaler will check the nodeSelector and automatically spin up a node from that nodegroup if necessary.
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How to make sure Kubernetes autoscaler not deleting the nodes which runs specific pod
I am running a Kubernetes cluster(AWS EKS one) with Autoscaler pod So that Cluster will autoscale according to the resource request within the cluster.
keda
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Ask HN: What's the right way to scale K8s for GPU workloads?
It seems you want something like KEDA (https://keda.sh)
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Tortoise: Shell-Shockingly-Good Kubernetes Autoscaling
Most just utilize out of the box macro resources available in HPA.
For more advanced use cases there is keda - https://keda.sh/
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Root Cause Chronicles: Quivering Queue
Thankfully KEDA operator was already part of the cluster, and all Robin had to do was create a ScaledObject manifest targeting the Dispatch ScaleUp event, based on the rabbitmq_global_messages_received_total metric from Prometheus.
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Five tools to add to your K8s cluster
Keda
- K8s latencies in chained services - Using RL?
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Best Kubernetes DevOps Tools: A Comprehensive Guide
KEDA introduces event-driven scaling to Kubernetes workloads. It integrates with Kubernetes Horizontal Pod Autoscalers and can scale pods based on external metrics from services like databases and message queues (Kafka, RabbitMQ, MongoDB).
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Auto-scaling DynamoDB Streams applications on Kubernetes
# update version 2.8.2 if required kubectl apply -f https://github.com/kedacore/keda/releases/download/v2.8.2/keda-2.8.2.yaml
- KEDA
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What is the difference in production for scale to zero usecases - Keda vs Lambda ?
This is traditionally a AWS Lambda usecase - or an OpenFaas kind of usecase. But very recently i discovered https://keda.sh/ and it seems it is specifically meant for this in a kubernetes environment.
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Ingesting Data into OpenSearch using Apache Kafka and Go
If you deploy the application to Amazon EKS, you can also consider using KEDA to auto-scale your consumer application based on the number of messages in the MSK topic.
What are some alternatives?
karpenter-provider-aws - Karpenter is a Kubernetes Node Autoscaler built for flexibility, performance, and simplicity.
k8s-prometheus-adapter - An implementation of the custom.metrics.k8s.io API using Prometheus
cluster-proportional-autoscaler - Kubernetes Cluster Proportional Autoscaler Container
argo - Workflow Engine for Kubernetes
aws-ebs-csi-driver - CSI driver for Amazon EBS https://aws.amazon.com/ebs/
istio - Connect, secure, control, and observe services.
descheduler - Descheduler for Kubernetes
k3s-aws-terraform-cluster - Deploy an high available K3s cluster on Amazon AWS
helm - The Kubernetes Package Manager
aws-node-termination-handler - Gracefully handle EC2 instance shutdown within Kubernetes
http-add-on - Add-on for KEDA to scale HTTP workloads