Monitoring Kubernetes Cluster

Comments

Post a Comment

Popular posts from this blog

ctr | nerdctl | crictl

The Open Container Initiative (OCI) is a project under the Linux Foundation that aims to create open standards for container formats and runtimes. It was established in June 2015 by Docker, CoreOS, and other leaders in the container industry OCI has developed three key specifications: Runtime Specification (runtime-spec) : Defines how to run a container's filesystem bundle. Image Specification (image-spec) : Standardizes the format for container images. Distribution Specification (distribution-spec) : Provides an API protocol for distributing container content  The initiative also includes tools like runc , which is a reference implementation of the runtime-spec ctr, nerdctl, and crictl: Understanding Their Roles in the Container Ecosystem When working with containers, there are several tools available for interacting with container runtimes like containerd and Kubernetes. ctr , nerdctl , and crictl are three such tools, each serving different purposes within the container life...
Read more

Delploy Cluster : Managed K8 & Self Managed K8

Self Managed K8 & Managed K8  In a self-managed Kubernetes cluster, the user is responsible for managing almost every aspect of the cluster. Here are the main components that need to be managed by users: 1. Control Plane Components : Kube-apiserver : The API server is the central management point of the Kubernetes cluster. Users are responsible for setting up, configuring, and managing its availability and performance. Etcd : The key-value store used by Kubernetes for all cluster data. Users need to manage the deployment, backup, scaling, and recovery of etcd . Kube-scheduler : This component is responsible for scheduling pods on available nodes. Users manage its configuration and ensure it runs reliably. Kube-controller-manager : This component runs controller processes that handle replication, node management, endpoints, etc. Users are responsible for managing these controllers. 2. Worker Nodes Components : Kubelet : This agent runs on each worker node and is responsible for ...
Read more

etcd Clustering

In a Kubernetes cluster, the etcd database is the primary data store for all cluster state and configuration. In a multi-master setup, ensuring that etcd data is consistently shared across all master nodes is critical for cluster operation. Here’s how this sharing and synchronization of etcd data is managed:   1. etcd Clustering When you have multiple Kubernetes master nodes, etcd is typically set up as a cluster. This means that etcd runs in a distributed mode with multiple etcd instances, which are all part of a single logical etcd cluster. The key features of this setup include: Consensus and Replication : etcd uses the Raft consensus algorithm to manage a distributed cluster. Raft ensures that all etcd instances in the cluster agree on the current state of the data and replicate changes consistently. This means that even if one etcd instance fails, the data remains available and consistent across the remaining instances. Leader Election : Within an etcd cluster, one...
Read more