Skip to main content

Install Kubernetes Metric Server / kubectl top will work 100% for CPU and Memory metric collection

How to install metric server in kubernetes for the collection of CPU and Memory Metrics 


 


Kubectl top is not working for pods and nodes:

Work Around


Please use the following link for metric server installation:


Apply the following commands:

it will install the metric server into your kube-system namespace as below:



Once the metric server pod is up and running. You can start using kubectl top commands 


Sharing Sample Results :








Comments

Popular posts from this blog

Managing AI Workloads in Kubernetes and OpenShift with Modern GPUs [H100/H200 Nvidia]

 AI workloads demand significant computational resources, especially for training large models or performing real-time inference. Modern GPUs like NVIDIA's H100 and H200 are designed to handle these demands effectively, but maximizing their utilization requires careful management. This article explores strategies for managing AI workloads in Kubernetes and OpenShift with GPUs, focusing on features like MIG (Multi-Instance GPU), time slicing, MPS (Multi-Process Service), and vGPU (Virtual GPU). Practical examples are included to make these concepts approachable and actionable. 1. Why GPUs for AI Workloads? GPUs are ideal for AI workloads due to their massive parallelism and ability to perform complex computations faster than CPUs. However, these resources are expensive, so efficient utilization is crucial. Modern GPUs like NVIDIA H100/H200 come with features like: MIG (Multi-Instance GPU): Partitioning a single GPU into smaller instances. Time slicing: Efficiently sharing GPU res...

What's New in Red Hat OpenShift 4.17

What's New in Red Hat OpenShift 4.17 Release Overview: · Kubernetes Version:  OpenShift 4.17 is based on Kubernetes 1.30, bringing enhancements and new capabilities. Notable Beta Features: 1.     User Namespaces in Pods:  Enhances security by allowing pods to run with distinct user IDs while mapping to different IDs on the host. 2.     Structured Authentication Configuration:  Provides a more organized approach to managing authentication settings. 3.     Node Memory Swap Support:  Introduces support for memory swapping on nodes, enhancing resource management. 4.     LoadBalancer Behavior Awareness:  Kubernetes can now better understand and manage LoadBalancer behaviors. 5.     CRD Validation Enhancements:  Improves Custom Resource Definition (CRD) validation processes. Stable Features: 1.     Pod Scheduling Readiness:  Ensures that...

Choosing the Right OpenShift Service: Service Mesh, Submariner, or Service Interconnect?

In today’s digital world, businesses rely more and more on interconnected applications and services to operate effectively. This means integrating software and data across different environments is essential. However, achieving smooth connectivity can be tough because different application designs and the mix of on-premises and cloud systems often lead to inconsistencies. These issues require careful management to ensure everything runs well, risks are managed effectively, teams have the right skills, and security measures are strong. This article looks at three Red Hat technologies—Red Hat OpenShift Service Mesh and Red Hat Service Interconnect, as well as Submariner—in simple terms. It aims to help you decide which solution is best for your needs. OPENSHIFT Feature Service Mesh (Istio) Service Interconnect Submariner Purpose Manages service-to-service communication within a single cluster. Enables ...