charts VS metrics-server

Compare charts vs metrics-server and see what are their differences.

charts

⚠️(OBSOLETE) Curated applications for Kubernetes (by helm)

metrics-server

Scalable and efficient source of container resource metrics for Kubernetes built-in autoscaling pipelines. (by kubernetes-sigs)
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charts metrics-server
28 42
15,373 5,560
- 2.4%
2.1 8.7
over 2 years ago 5 days ago
Go Go
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

charts

Posts with mentions or reviews of charts. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-05.

metrics-server

Posts with mentions or reviews of metrics-server. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-06-12.
  • 26 Top Kubernetes Tools
    18 projects | dev.to | 12 Jun 2024
    Metrics Server is a Kubernetes addon that collects CPU and memory resource utilization information at the Node and Pod level. It's a lightweight, single-cluster, Kubernetes-only alternative to more complex monitoring solutions like Prometheus.
  • Lowest Price for your own kubernetes using Hetzner Cloud(incl. Storage Provisioner)
    4 projects | dev.to | 12 May 2024
    (kubespray-venv) kube-master1:~# curl -LO https://github.com/kubernetes-sigs/metrics-server/releases/latest/download/components.yaml nano components.yaml
  • Upgrading Hundreds of Kubernetes Clusters
    17 projects | dev.to | 3 Apr 2024
    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.
  • Deploy Secure Spring Boot Microservices on Amazon EKS Using Terraform and Kubernetes
    13 projects | dev.to | 23 Nov 2023
    and the Metrics Server.
  • ☸️ Managed Kubernetes : Our dev is on AWS, our prod is on OVH
    6 projects | dev.to | 1 Jul 2023
    Metrics-server is installed by default on OVH, and has to be installed manually on AWS/EKS cluster.
  • Kubernetes HPA on AKS is failing with error 'missing request for cpu'
    1 project | /r/codehunter | 8 Jun 2023
    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
  • Factors affecting performance of job running in a pod
    1 project | /r/kubernetes | 5 Jun 2023
    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
  • Autoscaling Ingress controllers in Kubernetes
    4 projects | dev.to | 17 Apr 2023
    It's an autoscaler with a metrics server (so I don't need to install 2 different tools).
  • Checking the Capability of ChatGPT for DevOps Automation Solution Design
    1 project | dev.to | 9 Apr 2023
    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!
  • plz help
    1 project | /r/kubernetes | 26 Feb 2023
    Id go for k3s then install metrics-server, then you can deploy some hpa’s

What are some alternatives?

When comparing charts and metrics-server you can also consider the following projects:

kubernetes-mixin - A set of Grafana dashboards and Prometheus alerts for Kubernetes.

prometheus - The Prometheus monitoring system and time series database.

external-dns - Configure external DNS servers (AWS Route53, Google CloudDNS and others) for Kubernetes Ingresses and Services

k8s-prometheus-adapter - An implementation of the custom.metrics.k8s.io API using Prometheus

cdk8s - Define Kubernetes native apps and abstractions using object-oriented programming [Moved to: https://github.com/cdk8s-team/cdk8s]

kube-state-metrics - Add-on agent to generate and expose cluster-level metrics.

keda - KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes

kube-prometheus - Use Prometheus to monitor Kubernetes and applications running on Kubernetes

volcano - A Cloud Native Batch System (Project under CNCF)

istio - Connect, secure, control, and observe services.

k9s - 🐶 Kubernetes CLI To Manage Your Clusters In Style!

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
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