metrics-server
minikube
metrics-server | minikube | |
---|---|---|
40 | 78 | |
5,449 | 28,401 | |
1.4% | 0.6% | |
8.6 | 10.0 | |
8 days ago | 8 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.
metrics-server
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Upgrading Hundreds of Kubernetes Clusters
The last one is mostly an observability stack with Prometheus, Metric server, and Prometheus adapter to have excellent insights into what is happening on the cluster. You can reuse the same stack for autoscaling by repurposing all the data collected for monitoring.
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Deploy Secure Spring Boot Microservices on Amazon EKS Using Terraform and Kubernetes
and the Metrics Server.
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☸️ Managed Kubernetes : Our dev is on AWS, our prod is on OVH
Metrics-server is installed by default on OVH, and has to be installed manually on AWS/EKS cluster.
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Kubernetes HPA on AKS is failing with error 'missing request for cpu'
I have also installed metrics-server (though not sure whether that was required or not) using the following statement:kubectl apply -f https://github.com/kubernetes-sigs/metrics-server/releases/download/v0.3.6/components.yaml
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Factors affecting performance of job running in a pod
For #2: There are MANY solutions but the simplest and easiest is https://github.com/kubernetes-sigs/metrics-server and then you can use kubectl top to view pods resource usage. If you want fancy graphs, long retention, alerting, analysis, etc. of resource metrics.. then you need to use something like new relic, data dog, or something open source but much more complex like prometheus/thanos/grafana.. or a managed SaaS version of those open source tools... also some k8s platforms like AWS, Spot.io, GKE, OpenShift, may have this stuff built in or turnkey
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Autoscaling Ingress controllers in Kubernetes
It's an autoscaler with a metrics server (so I don't need to install 2 different tools).
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Checking the Capability of ChatGPT for DevOps Automation Solution Design
Sure, here's an example of how to configure the Kubernetes Metrics Server along with the Horizontal Pod Autoscaler (HPA) and Vertical Pod Autoscaler (VPA) configurations we provided earlier. The Metrics Server is a Kubernetes add-on that provides resource utilization metrics for pods and nodes, which are used by the HPA and VPA to determine when and how to scale an application. First, you'll need to install the Metrics Server into your Kubernetes cluster. You can do this by running the following command: kubectl apply -f https://github.com/kubernetes-sigs/metrics-server/releases/latest/download/components.yaml Once the Metrics Server is installed, you can configure your HPA and VPA to use it for metrics by adding the following annotation to your deployment: apiVersion: apps/v1 kind: Deployment metadata: name: my-app annotations: autoscaling.alpha.kubernetes.io/metrics-provider: "metrics-server" With this annotation in place, the HPA and VPA will use the Metrics Server to obtain CPU and memory utilization metrics for your pods and nodes. Here's an updated example of the HPA configuration we provided earlier, with the addition of the Metrics Server configuration: apiVersion: autoscaling/v2beta2 kind: HorizontalPodAutoscaler metadata: name: my-app-hpa spec: scaleTargetRef: apiVersion: apps/v1 kind: Deployment name: my-app minReplicas: 1 maxReplicas: 10 metrics: - type: Resource resource: name: cpu targetAverageUtilization: 50 - type: Resource resource: name: memory targetAverageUtilization: 80 In this example, we've added a second metric to the HPA configuration that targets memory utilization at 80%. Here's an updated example of the VPA configuration we provided earlier, with the addition of the Metrics Server configuration: apiVersion: autoscaling.k8s.io/v1 kind: VerticalPodAutoscaler metadata: name: my-app-vpa spec: targetRef: apiVersion: apps/v1 kind: Deployment name: my-app updatePolicy: updateMode: "Off" resourcePolicy: containerPolicies: - containerName: "*" minAllowed: cpu: 50m memory: 256Mi maxAllowed: cpu: 500m memory: 1Gi metrics: - type: Resource resource: name: cpu target: type: Utilization averageUtilization: 50 - type: Resource resource: name: memory target: type: Utilization averageUtilization: 80 In this example, we've added two metrics to the VPA configuration that target CPU and memory utilization, with target average utilization of 50% and 80% respectively. I hope this helps you configure the Metrics Server, HPA, and VPA for your application in Kubernetes!
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plz help
Id go for k3s then install metrics-server, then you can deploy some hpa’s
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Autoscaling Nodes in Kubernetes
# Create EKS Cluster with version 1.23 eksctl create cluster -f eks-cluster.yaml # Output like below shows cluster has been successfully created 2022-12-30 16:26:46 [ℹ] kubectl command should work with "/home/ec2-user/.kube/config", try 'kubectl get nodes' 2022-12-30 16:26:46 [✔] EKS cluster "ca-demo" in "us-west-2" region is ready # Deploy the Metric server kubectl apply -f https://github.com/kubernetes-sigs/metrics-server/releases/latest/download/components.yaml # Output of the above command looks something like below - serviceaccount/metrics-server created clusterrole.rbac.authorization.k8s.io/system:aggregated-metrics-reader created clusterrole.rbac.authorization.k8s.io/system:metrics-server created rolebinding.rbac.authorization.k8s.io/metrics-server-auth-reader created clusterrolebinding.rbac.authorization.k8s.io/metrics-server:system:auth-delegator created clusterrolebinding.rbac.authorization.k8s.io/system:metrics-server created service/metrics-server created deployment.apps/metrics-server created apiservice.apiregistration.k8s.io/v1beta1.metrics.k8s.io created
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Korifi : API Cloud Foundry V3 expérimentale dans Kubernetes …
ubuntu@korifi:~$ kubectl apply -f https://github.com/kubernetes-sigs/metrics-server/releases/download/v0.6.2/components.yaml serviceaccount/metrics-server created clusterrole.rbac.authorization.k8s.io/system:aggregated-metrics-reader created clusterrole.rbac.authorization.k8s.io/system:metrics-server created rolebinding.rbac.authorization.k8s.io/metrics-server-auth-reader created clusterrolebinding.rbac.authorization.k8s.io/metrics-server:system:auth-delegator created clusterrolebinding.rbac.authorization.k8s.io/system:metrics-server created service/metrics-server created deployment.apps/metrics-server created apiservice.apiregistration.k8s.io/v1beta1.metrics.k8s.io created ubuntu@korifi:~$ kubectl get po,svc -A NAMESPACE NAME READY STATUS RESTARTS AGE cert-manager pod/cert-manager-74d949c895-w6gzm 1/1 Running 0 13m cert-manager pod/cert-manager-cainjector-d9bc5979d-jhr9m 1/1 Running 0 13m cert-manager pod/cert-manager-webhook-84b7ddd796-xw878 1/1 Running 0 13m kpack pod/kpack-controller-84cbbcdff6-nnhdn 1/1 Running 0 9m40s kpack pod/kpack-webhook-56c6b59c4-9zvlb 1/1 Running 0 9m40s kube-system pod/coredns-565d847f94-kst2l 1/1 Running 0 31m kube-system pod/coredns-565d847f94-rv8pn 1/1 Running 0 31m kube-system pod/etcd-kind-control-plane 1/1 Running 0 32m kube-system pod/kindnet-275pd 1/1 Running 0 31m kube-system pod/kube-apiserver-kind-control-plane 1/1 Running 0 32m kube-system pod/kube-controller-manager-kind-control-plane 1/1 Running 0 32m kube-system pod/kube-proxy-qw9fj 1/1 Running 0 31m kube-system pod/kube-scheduler-kind-control-plane 1/1 Running 0 32m kube-system pod/metrics-server-8ff8f88c6-69t9z 0/1 Running 0 4m21s local-path-storage pod/local-path-provisioner-684f458cdd-f6zqf 1/1 Running 0 31m metallb-system pod/controller-84d6d4db45-bph5x 1/1 Running 0 29m metallb-system pod/speaker-pcl4p 1/1 Running 0 29m projectcontour pod/contour-7b9b9cdfd6-h5jzg 1/1 Running 0 6m43s projectcontour pod/contour-7b9b9cdfd6-nhbq2 1/1 Running 0 6m43s projectcontour pod/contour-certgen-v1.23.2-hxh7k 0/1 Completed 0 6m43s projectcontour pod/envoy-v4xk9 2/2 Running 0 6m43s servicebinding-system pod/servicebinding-controller-manager-85f7498cf-xd7jc 2/2 Running 0 115s NAMESPACE NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE cert-manager service/cert-manager ClusterIP 10.96.153.49 9402/TCP 13m cert-manager service/cert-manager-webhook ClusterIP 10.96.102.82 443/TCP 13m default service/kubernetes ClusterIP 10.96.0.1 443/TCP 32m kpack service/kpack-webhook ClusterIP 10.96.227.201 443/TCP 9m40s kube-system service/kube-dns ClusterIP 10.96.0.10 53/UDP,53/TCP,9153/TCP 32m kube-system service/metrics-server ClusterIP 10.96.204.62 443/TCP 4m21s metallb-system service/webhook-service ClusterIP 10.96.186.139 443/TCP 29m projectcontour service/contour ClusterIP 10.96.138.58 8001/TCP 6m43s projectcontour service/envoy LoadBalancer 10.96.126.44 172.18.255.200 80:30632/TCP,443:30730/TCP 6m43s servicebinding-system service/servicebinding-controller-manager-metrics-service ClusterIP 10.96.147.189 8443/TCP 115s servicebinding-system service/servicebinding-webhook-service ClusterIP 10.96.14.224 443/TCP 115s
minikube
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Building Llama as a Service (LaaS)
With the containerized Node.js/Express API, I could run multiple containers, scaling to handle more traffic. Using a tool called minikube, we can easily spin up a local Kubernetes cluster to horizontally scale Docker containers. It was possible to keep one shared instance of the database, and many APIs were routed with an internal Kubernetes load balancer.
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Can I scale my dockerized Flask solution with Kubernetes?
Install Minicube - a tool that allows us to spin up a Kubernetes cluster in a local machine Run minikube start to start your Kubernetes cluster Run minikube dashboard to spin up a web-based user interface that allows you to manage your Kubernetes cluster
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K3s – Lightweight Kubernetes
If you're just messing around, just use kind (https://kind.sigs.k8s.io) or minikube if you want VMs (https://minikube.sigs.k8s.io). Both work on ARM-based platforms.
You can also use k3s; it's hella easy to get started with and it works great.
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Developer’s Guide to Building Kubernetes Cloud Apps ☁️🚀
$ minikube addons enable dashboard 💡 dashboard is an addon maintained by Kubernetes. For any concerns contact minikube on GitHub. You can view the list of minikube maintainers at: https://github.com/kubernetes/minikube/blob/master/OWNERS ▪ Using image docker.io/kubernetesui/dashboard:v2.7.0 ▪ Using image docker.io/kubernetesui/metrics-scraper:v1.0.8 🌟 The 'dashboard' addon is enabled $ minikube addons enable metrics-server 💡 metrics-server is an addon maintained by Kubernetes. For any concerns contact minikube on GitHub. You can view the list of minikube maintainers at: https://github.com/kubernetes/minikube/blob/master/OWNERS ▪ Using image registry.k8s.io/metrics-server/metrics-server:v0.6.4 🌟 The 'metrics-server' addon is enabled $ minikube addons enable ingress 💡 ingress is an addon maintained by Kubernetes. For any concerns contact minikube on GitHub. You can view the list of minikube maintainers at: https://github.com/kubernetes/minikube/blob/master/OWNERS 💡 After the addon is enabled, please run "minikube tunnel" and your ingress resources would be available at "127.0.0.1" ▪ Using image registry.k8s.io/ingress-nginx/kube-webhook-certgen:v20230407 ▪ Using image registry.k8s.io/ingress-nginx/controller:v1.8.1 ▪ Using image registry.k8s.io/ingress-nginx/kube-webhook-certgen:v20230407 🔎 Verifying ingress addon... 🌟 The 'ingress' addon is enabled
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Implementing TLS in Kubernetes
A Kubernetes distribution: You need to install a Kubernetes distribution to create the Kubernetes cluster and other necessary resources, such as deployments and services. This tutorial uses kind (v0.18.0), but you can use any other Kubernetes distribution, including minikube or K3s.
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Sites you should know: Part One
3.Minikube ( https://minikube.sigs.k8s.io ):
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Cannot stop 10 containers after Kubernetes minikube tutorial
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES7523fd2c20c7 gcr.io/google\_containers/k8s-dns-sidecar-amd64 "/sidecar --v=2 --..." 18 hours ago Up 18 hours k8s\_sidecar\_kube-dns-86f6f55dd5-qwc6z\_kube-system\_c1333ffc-e4d6-11e7-bccf-0021ccbf0996\_09bd438011406 gcr.io/google\_containers/k8s-dns-dnsmasq-nanny-amd64 "/dnsmasq-nanny -v..." 18 hours ago Up 18 hours k8s\_dnsmasq\_kube-dns-86f6f55dd5-qwc6z\_kube-system\_c1333ffc-e4d6-11e7-bccf-0021ccbf0996\_05c35e00a5a27 gcr.io/google\_containers/k8s-dns-kube-dns-amd64 "/kube-dns --domai..." 18 hours ago Up 18 hours k8s\_kubedns\_kube-dns-86f6f55dd5-qwc6z\_kube-system\_c1333ffc-e4d6-11e7-bccf-0021ccbf0996\_077ef463642b7 gcr.io/google\_containers/pause-amd64:3.0 "/pause" 18 hours ago Up 18 hours k8s\_POD\_kube-dns-86f6f55dd5-qwc6z\_kube-system\_c1333ffc-e4d6-11e7-bccf-0021ccbf0996\_039f618666205 gcr.io/google\_containers/kubernetes-dashboard-amd64 "/dashboard --inse..." 18 hours ago Up 18 hours k8s\_kubernetes-dashboard\_kubernetes-dashboard-vgpjl\_kube-system\_c1176a44-e4d6-11e7-bccf-0021ccbf0996\_0023b7b554a8c gcr.io/google\_containers/pause-amd64:3.0 "/pause" 18 hours ago Up 18 hours k8s\_POD\_kubernetes-dashboard-vgpjl\_kube-system\_c1176a44-e4d6-11e7-bccf-0021ccbf0996\_01c3bdb7bdeb1 gcr.io/google-containers/kube-addon-manager "/opt/kube-addons.sh" 18 hours ago Up 18 hours k8s\_kube-addon-manager\_kube-addon-manager-tpad\_kube-system\_7b19c3ba446df5355649563d32723e4f\_08a00feefa754 gcr.io/google\_containers/pause-amd64:3.0 "/pause" 18 hours ago Up 18 hours k8s\_POD\_kube-addon-manager-tpad\_kube-system\_7b19c3ba446df5355649563d32723e4f\_0b657eab5f6f5 gcr.io/k8s-minikube/storage-provisioner "/storage-provisioner" 18 hours ago Up 18 hours k8s\_storage-provisioner\_storage-provisioner\_kube-system\_c0a8b187-e4d6-11e7-bccf-0021ccbf0996\_067be5cc1dd0d gcr.io/google\_containers/pause-amd64:3.0 "/pause" 18 hours ago Up 18 hours k8s\_POD\_storage-provisioner\_kube-system\_c0a8b187-e4d6-11e7-bccf-0021ccbf0996\_0 I just did the Kubernetes minikube tutorial at https://github.com/kubernetes/minikube, and I cannot stop or remove these containers, they always get recreated.
- DNS issue of Alpine/musl solved?
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DevOps experience without Kubernetes
https://github.com/kubernetes/minikube for local learning that's lightweight.
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x509: certificate signed by unknown authority
Haven’t dabbled with minikube yet, but there’s a whole thread about this error here: https://github.com/kubernetes/minikube/issues/9798
What are some alternatives?
prometheus - The Prometheus monitoring system and time series database.
colima - Container runtimes on macOS (and Linux) with minimal setup
k8s-prometheus-adapter - An implementation of the custom.metrics.k8s.io API using Prometheus
lima - Linux virtual machines, with a focus on running containers
kube-state-metrics - Add-on agent to generate and expose cluster-level metrics.
kind - Kubernetes IN Docker - local clusters for testing Kubernetes
kube-prometheus - Use Prometheus to monitor Kubernetes and applications running on Kubernetes
kubespray - Deploy a Production Ready Kubernetes Cluster
istio - Connect, secure, control, and observe services.
k9s - 🐶 Kubernetes CLI To Manage Your Clusters In Style!
helm - The Kubernetes Package Manager