prometheus-operator
autoscaler
prometheus-operator | autoscaler | |
---|---|---|
39 | 89 | |
8,751 | 7,633 | |
0.7% | 0.7% | |
9.7 | 9.7 | |
8 days ago | about 20 hours 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.
prometheus-operator
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Smart-Cash project -Adding monitoring to EKS using Prometheus operator
The project repository for Prometheus-operator can be found here, The repo defines the CRDs and the controller. You can follow this documentation for the installation. which will require the creation of metrics exporters, node exporters, scrape configurations, etc.
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Ask HN: Best solution for homelab service monitoring?
Personally I use kubernetes, k3s is kind of lightweight, with the Prometheus operator.
https://k3s.io/
https://prometheus-operator.dev/
Kubernetes is not for everyone and is far from perfect but you already use Docker and you seem to seek many features offered by Kubernetes.
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Opinions on using the Prometheus Operator vs. installing yourself?
I see that the operator is a community-run project. Does anybody have any experience (positive or negative) on running the operator itself? I wonder if it is more for multi-tenant Prometheus. For single tenant Prometheus collection, I guess the big gain is abstracting scrape config into ServiceMonitor and PodMonitor resources? Is there anything else that this makes much better?
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Prometheus node exporter and cadvisor to send metrics to central prometheus cluster
But in all honesty if you’re on k8s you’re probably best served by the Prometheus operator. It’ll give you all that and more, easily.
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Overcommitted cpu
Try some monitoring.
- What's your favorite monitoring stack?
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Writing a Kubernetes Operator
It’s a common pattern [1] how else can users override the child objects you’re controller creates?
1 https://github.com/prometheus-operator/prometheus-operator/b...
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Modify Prometheus rules when installed via Helm chart
The Prometheus operator is this one https://github.com/prometheus-operator/prometheus-operator
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How do I stop my apps from being killed in k8s?
At a minimum, you want to look at your metrics using the Prometheus Operator. You can write alerts for resource requests.
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Spring Boot monitoring with Prometheus Operator
Prometheus Operator is an independent project from the Prometheus project. I know, it can lead to confusion. In the official README you can find short comparison. Basically, Prometheus Operator does what an operator should do - provides Kubernetes native deployment and management of Prometheus and related monitoring components like Grafana or Alert Manager.
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.
What are some alternatives?
kube-prometheus - Use Prometheus to monitor Kubernetes and applications running on Kubernetes
karpenter-provider-aws - Karpenter is a Kubernetes Node Autoscaler built for flexibility, performance, and simplicity.
mimir - Grafana Mimir provides horizontally scalable, highly available, multi-tenant, long-term storage for Prometheus.
cluster-proportional-autoscaler - Kubernetes Cluster Proportional Autoscaler Container
kubernetes-mixin - A set of Grafana dashboards and Prometheus alerts for Kubernetes.
aws-ebs-csi-driver - CSI driver for Amazon EBS https://aws.amazon.com/ebs/
kuberhealthy - A Kubernetes operator for running synthetic checks as pods. Works great with Prometheus!
keda - KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes
helm-charts - Prometheus community Helm charts
descheduler - Descheduler for Kubernetes
prometheus - The Prometheus monitoring system and time series database.
k3s-aws-terraform-cluster - Deploy an high available K3s cluster on Amazon AWS