kube-state-metrics
k3s
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kube-state-metrics | k3s | |
---|---|---|
33 | 291 | |
5,066 | 26,349 | |
1.8% | 1.5% | |
8.9 | 9.6 | |
10 days ago | 5 days ago | |
Go | Go | |
Apache License 2.0 | Apache License 2.0 |
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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.
kube-state-metrics
- Do we have any Prometheus metric to get the kubernetes cluster-level CPU/Memory requests/limits?
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10 Kubernetes Visualization Tool that You Can't Afford to Miss
git clone https://github.com/kubernetes/kube-state-metrics.git
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Why is the Prometheus metric 'kube_pod_completion_time' returning empty query results?
https://github.com/kubernetes/kube-state-metrics/blob/main/docs/pod-metrics.md According to this github repo completion is responsible of termination date if I correctly understood .
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Google Kubernetes Engine's metrics vs Self-managed
kube-state-metrics
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Prometheus node exporter and cadvisor to send metrics to central prometheus cluster
Those are entirely different types of data. You can get that from something like kube-state-metrics
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Scaling kube-state-metrics in large cluster
I've never had a cluster of that size, so take it with a grain of salt - but maybe you could try purpose-based sharding? KSM has allowlist and denylist config flags, for configuring which metrics it exposes https://github.com/kubernetes/kube-state-metrics/blob/main/docs/cli-arguments.md
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Questions about Kubernetes
Kubernetes itself will not notify you, the way I've seen people do this, is to use something like kube-state-metrics or node_exporter, export that to Prometheus (or preferrably VictoriaMetrics because Prometheus is terrible IMO), and then setup alarms on that with alertmanager or equivalent, or just look at dashboards regularly with Grafana. Realistically I recommend only setting alerts on disk usage and application/database latency. CPU and memory utilization isn't a great metric to alert on a lot of the time.
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EKS scalability best practices
Another tip that you could consider spelling out a little more, is to monitor the number of resources created by Kind. This is somewhat mentioned for jobs and services, but any Kind of which thousands of resources are created will put stress on the control-plane. The total number of resources per namespace/cluster can be monitored with kube-state-metrics. KSM does not emit metrics of resources created from CRDs. These metrics can be implemented with KSM's custom resource state metrics: https://github.com/kubernetes/kube-state-metrics/blob/main/docs/customresourcestate-metrics.md
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Observability-Landscape-as-Code in Practice
We then have various other Metrics called Kubernetes Workload Metrics. These are the dashboards with names that start with “Kubernetes / Compute Resources / Workload”. These dashboards are specific to the services you are running. They take into account the Kubernetes Workloads in your various namespaces, using kube-state-metrics. For a closer look, check out otel_demo_app_k8s_dashboard.tf.
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Kubernetes Costs: Effective Cost Optimization Strategies To Reduce Your k8s Bill
The first step to optimizing costs is gaining visibility into your costs using tools. Kubernetes provides a Metrics Server and kube-state-metrics that can give you the overall picture of resource utilization by your cluster. There are more tools that provide more granular breakdowns and provide dashboards with business metrics, infra cost, and alerting functionalities. Here are some strategies to optimize your resource utilization and cloud bills on k8s.
k3s
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Linux fu: getting started with systemd
For self-hosting I've found https://k3s.io to be really good from the SUSE people. Works on basically any Linux distro and makes self-hosting k8s not miserable.
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Nix is a better Docker image builder than Docker's image builder
Yes it’s going to depend on which k8s distribution you’re using. We have work in-progress for k3s to natively support nix-snapshotter: https://github.com/k3s-io/k3s/pull/9319
For other distributions, nix-snapshotter works with official containerd releases so it’s just a matter of toml configuration and a systemd unit for nix-snapshotter.
We run Kubernetes outside of NixOS, but yes the NixOS modules provided by the nix-snapshotter certainly make it simple.
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15 Options To Build A Kubernetes Playground (with Pros and Cons)
K3S: is a lightweight distribution of Kubernetes that is designed for resource-constrained environments. It is an excellent option for running Kubernetes on a virtual machine or cloud server.
- FLaNK 25 December 2023
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K3s Traefik Ingress - configured for your homelab!
I recently purchased a used Lenovo M900 Think Centre (i7 with 32GB RAM) from eBay to expand my mini-homelab, which was just a single Synology DS218+ plugged into my ISP's router (yuck!). Since I've been spending a big chunk of time at work playing around with Kubernetes, I figured that I'd put my skills to the test and run a k3s node on the new server. While I was familiar with k3s before starting this project, I'd never actually run it before, opting for tools like kind (and minikube before that) to run small test clusters for my local development work.
- Best way to deploy K8s to single VPS for dev environment
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Single docker compose stack on multiple hosts. But how?
Kubernetes - k3s distribution
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Building a no-code Helm UI with Windmill - Part 1
I’ve created a local cluster with K3S and installing Windmill could not be simpler with just one chart to configure, which already has sane defaults to get started. For this demo we will also configure workers to passthrough environment variables to our scripts so that they have access to the Kubernetes API server for later.
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Highly scalable Minecraft cluster
You should be familiar with Kubernetes and have set up a Kubernetes cluster. I recommend k3s.
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K3s – Lightweight Kubernetes
K3s' go.mod[0] is insane.
What are some alternatives?
cadvisor - Analyzes resource usage and performance characteristics of running containers.
k0s - k0s - The Zero Friction Kubernetes
metrics-server - Scalable and efficient source of container resource metrics for Kubernetes built-in autoscaling pipelines.
kubespray - Deploy a Production Ready Kubernetes Cluster
php-fpm_exporter - A prometheus exporter for PHP-FPM.
Nomad - Nomad is an easy-to-use, flexible, and performant workload orchestrator that can deploy a mix of microservice, batch, containerized, and non-containerized applications. Nomad is easy to operate and scale and has native Consul and Vault integrations.
microk8s - MicroK8s is a small, fast, single-package Kubernetes for datacenters and the edge.
kube-metrics-adapter - General purpose metrics adapter for Kubernetes HPA metrics
Docker Compose - Define and run multi-container applications with Docker
rancher - Complete container management platform
k9s - 🐶 Kubernetes CLI To Manage Your Clusters In Style!