In this practical exercise, I worked with Google Cloud Platform (GCP), Google Kubernetes Engine (GKE), Kubernetes StorageClass, PersistentVolume (PV), PersistentVolumeClaim (PVC), and Pod storage. The main goal was to understand how Kubernetes can dynamically create persistent storage and attach that storage to a Pod. 🚀 Architecture The complete flow of this practical is: 1. Create a GKE Standard Cluster First, I created a Standard GKE cluster in Google Cloud. After
Tag: NGINX
Kubernetes provides several powerful mechanisms for managing application configuration, sensitive information, containers, and access to the Kubernetes API. In this hands-on practice, I worked through: This article documents the complete workflow step by step. 1. Checking Existing ConfigMaps I started by checking the ConfigMaps already available in the namespace. Flow A ConfigMap is used to store non-sensitive configuration data separately from application code. 2. Creating a ConfigMap with Literal Values
Category: Kubernetes, CKA, ReplicaSet, Labels, Selectors Introduction One of the biggest improvements of ReplicaSet over the old ReplicationController is its more expressive label selectors. ReplicationController supports only simple equality-based selectors such as: ReplicaSet introduces set-based selectors, allowing you to create much more flexible selection rules using matchExpressions. In this hands-on lab, we’ll explore all four ReplicaSet selector operators: We’ll also verify each operator by changing Pod labels and observing ReplicaSet’s
A Beginner-Friendly Guide to Docker Containers on AWS EC2 In today’s cloud-native world, Docker Containers have completely changed the way applications are developed, deployed, and managed. Containers are lightweight, fast, portable, and incredibly efficient compared to traditional virtual machines. In this blog, we will learn: ✨ What Docker is✨ Important Container Terminologies✨ How to Install Docker on AWS EC2✨ How to Run and Manage Containers✨ How to Launch an NGINX