Posts

🔍 Ever Wonder How Pods in a Kubernetes Cluster Seamlessly Communicate via DNS?

How Internal DNS Works in Kubernetes (And How to Add Custom Records with CoreDNS) Ever Wonder How Pods in a Kubernetes Cluster Seamlessly Communicate via DNS? When working with Kubernetes, one of the most magical experiences is watching how pods and services can easily discover and talk to each other — often with just a name like my-service.default.svc.cluster.local . But behind this simplicity is a powerful and flexible system built into Kubernetes: CoreDNS . 📦 What is CoreDNS? CoreDNS is the default DNS server for Kubernetes clusters. It acts as a DNS server that runs inside the cluster and handles service discovery. Instead of hardcoding IPs or deploying your own DNS infrastructure, CoreDNS dynamically registers and resolves names based on the Kubernetes API. Key Responsibilities of CoreDNS: Resolving internal service names to ClusterIP addresses Allowing pods in one namespace to discover services in another Forwar...
Post a Comment
Read more

🔍 Why You Only See a Private IP Inside an AWS EC2 Instance — Even If It Has a Public IP

Why You Only See a Private IP Inside an AWS EC2 Instance 🤔 The Mystery: Where Did My Public IP Go? Let’s say you’ve just launched an EC2 instance in AWS. You assign it a public IP address like 54.201.112.34 , and you successfully SSH into it: ssh ec2-user@54.201.112.34 Once inside, you run: ip addr But instead of seeing the public IP, you get something like: inet 10.0.1.42/24 brd 10.0.1.255 scope global eth0 So… where’s the public IP? 🧠 What’s Actually Happening Behind the Scenes Every EC2 instance gets a private IP from the VPC subnet. If you assign a public IP (or Elastic IP), AWS performs a 1:1 NAT mapping externally — not inside the instance. The OS inside the instance never sees the public IP. TL;DR: The public IP is mapped outside the instance by AWS NAT. The instance is only aware of its private IP. 🌐 Visual Flow (Conceptual) YOU (Public Internet) | | Connects to Public IP: 54.201.112.34 | [ AWS NAT Gateway ] | Tra...
Post a Comment
Read more

A Day in the Life of a DevOps Engineer – Roles & Responsibilities

  Introduction In the fast-paced world of software development and IT operations , the role of a DevOps Engineer is crucial in bridging the gap between development (Dev) and operations (Ops). DevOps professionals streamline workflows, automate processes, and ensure seamless deployment and monitoring of applications. In this blog post, we will cover: ✅ Who is a DevOps Engineer? ✅ Key Roles & Responsibilities ✅ A Typical Day in the Life of a DevOps Engineer ✅ Essential DevOps Tools & Technologies ✅ Skills Required for a DevOps Engineer ✅ Conclusion Let’s dive in! 🚀 Who is a DevOps Engineer? A DevOps Engineer is responsible for: 🔹 Automating software development, testing, and deployment pipelines 🔹 Ensuring infrastructure is scalable and reliable 🔹 Managing cloud environments and CI/CD pipelines 🔹 Monitoring and improving system performance 🔹 Collaborating with developers, testers, and operations teams DevOps engineers reduce the time-to-market by maki...
Post a Comment
Read more

Kubernetes (K8s) – The Ultimate Guide for DevOps Engineers

  Introduction In modern DevOps workflows, Kubernetes (K8s) has become the industry standard for container orchestration . It helps manage containerized applications at scale, automating deployment, scaling, and operations across clusters of nodes. In this blog post, we will cover: ✅ What is Kubernetes? ✅ Why Use Kubernetes in DevOps? ✅ Kubernetes Architecture Overview ✅ Setting Up a Kubernetes Cluster ✅ Deploying Applications in Kubernetes ✅ Integrating Kubernetes into a CI/CD Pipeline Let’s dive in! 🚀 What is Kubernetes? Kubernetes, often abbreviated as K8s , is an open-source container orchestration platform designed to automate application deployment, scaling, and management. It was originally developed by Google and is now maintained by the Cloud Native Computing Foundation (CNCF) . Why Use Kubernetes in DevOps? ✅ Automated Scaling – Dynamically scales applications based on load. ✅ Self-Healing – Automatically restarts failed containers. ✅ Service Discovery ...
Post a Comment
Read more

JFrog Artifactory – A Complete Guide for Java-Based CI/CD Pipelines

  Introduction In modern DevOps workflows, artifact management is crucial for efficient software delivery. JFrog Artifactory is one of the most popular artifact repositories that enables teams to store, manage, and distribute build artifacts efficiently. In this blog post, we will cover: ✅ What is JFrog Artifactory? ✅ Why use Artifactory in DevOps? ✅ How to install and configure JFrog Artifactory? ✅ Storing Java artifacts in Artifactory ✅ Integrating JFrog Artifactory in CI/CD pipelines using Jenkins and Maven Let’s get started! 🚀 What is JFrog Artifactory? JFrog Artifactory is a binary repository manager that allows teams to store, manage, and deploy artifacts such as JAR, WAR, Docker images, and other dependencies. It supports multiple package types like: Java (Maven, Gradle) Docker containers Node.js (npm, Yarn) Python (PyPi) Helm charts for Kubernetes Artifactory serves as a centralized repository where all build artifacts are stored, ensuring consistency a...
Post a Comment
Read more

Docker and Its Usage in DevOps – A Complete Guide

  Introduction In modern software development, containerization has revolutionized the way applications are built, shipped, and deployed. Docker is the most widely used containerization tool that allows developers to package applications with all dependencies into a lightweight, portable container . This blog will cover: ✅ What is Docker? ✅ Why use Docker in DevOps? ✅ How to install Docker? ✅ Basic Docker commands ✅ Using Docker in CI/CD Pipelines ✅ Deploying Docker Containers with Kubernetes Let’s dive in! 🚀 What is Docker? Docker is an open-source platform that enables developers to build, deploy, and run applications in isolated environments called containers . These containers encapsulate application code, dependencies, and runtime environment into a single package, ensuring consistent behavior across different systems. Why Use Docker in DevOps? ✅ Portability: Write once, run anywhere – Docker containers run the same way on any system. ✅ Scalability: Easily s...
Post a Comment
Read more

CI/CD Pipeline in DevOps – A Complete Guide

  Introduction In today’s fast-paced software development world, speed and reliability are key. A CI/CD pipeline ensures that software updates are automatically tested and deployed, reducing manual effort and minimizing errors. ✅ CI (Continuous Integration): Developers frequently integrate their code into a shared repository, followed by automated testing. ✅ CD (Continuous Deployment/Delivery): After testing, the code is automatically deployed to production or staging environments. Let’s explore how a CI/CD pipeline works and how you can implement it in your DevOps workflow. Why is a CI/CD Pipeline Important? 🔹 Faster Release Cycles – Code is tested and deployed automatically. 🔹 Early Bug Detection – Automated tests catch issues before deployment. 🔹 Consistent Builds – Avoids "it works on my machine" problems. 🔹 Improved Collaboration – Developers can merge code frequently without conflicts. CI/CD Pipeline Stages A CI/CD pipeline consists of five key stag...
Post a Comment
Read more