How Kubernetes handles pod deletion: SIGTERM, SIGKILL, and PreStop hooks

Ever felt overwhelmed by juggling multiple YAML files for your Kubernetes setups? Helm is here to change that. As the package manager for Kubernetes, Helm lets you bundle applications into charts—reusable, versioned packages that make deployments a breeze. Let's dive into a practical use case: deploying a sample web app. Start by adding a Helm repository, like Bitnami's, which hosts ready-made charts. Run 'helm repo add bitnami https://lnkd.in/gvGci9aV' and update with 'helm repo update'. Next, install the nginx chart: 'helm install my-nginx bitnami/nginx'. This deploys a fully configured Nginx server in minutes, complete with services and ingress rules. Customize it by creating a values.yaml file—tweak replica counts, resource limits, or even enable TLS—then upgrade with 'helm upgrade my-nginx bitnami/nginx -f values.yaml'. Why is this useful? Helm handles templating, so you avoid errors from manual edits. It supports rollbacks too: 'helm rollback my-nginx 1' reverts to a previous version if something goes wrong. Plus, charts are shareable—upload yours to a repo for team collaboration. Pro tip: Use 'helm lint' to validate charts before deploying, ensuring they're error-free. For complex apps, compose multiple charts with an umbrella chart. If you're new to K8s, Helm lowers the entry barrier, letting you focus on your app logic rather than infra boilerplate. Try it on a local Minikube cluster today and see the difference! #Kubernetes #Helm #DevOps #CNCF #OpenSource

Day 44 – #100DaysOfDevOps #KodeKloud Situation: The Nautilus application development team needed their static website content hosted on a containerized httpd web server. To ensure smooth deployment, I was tasked with configuring the environment using Docker Compose. Task: Set up an httpd container on App Server 2 with the proper port mapping and volume configuration, ensuring the website content could be served directly from the host system. Action: 1) Created a Docker Compose file at /opt/docker/docker-compose.yml. 2) Used the latest httpd image to deploy the container. 3) Configured the container to be named httpd. 4) Mapped host port 3001 → container port 80. 5) Mounted /opt/sysops from the host to /usr/local/apache2/htdocs in the container (ensuring website files remained unchanged and served properly). 6) Brought up the container using Docker Compose and verified accessibility. Result: The httpd container is up and running, successfully serving the static website content on http://<AppServer2>:3001. The development team can now access their website in a lightweight, containerized environment. Learning: This task reinforced the power of Docker Compose in simplifying container deployments. Instead of long docker run commands, Compose allows us to manage configurations declaratively and ensures consistency across environments. 👉 Here’s the link to join the challenge: https://lnkd.in/g4wnpsF2 #Docker #Httpd #DockerCompose #DevOps #LearningByDoing #DevOpsChallenge #ContinuousLearning 

Mastering Memory Management in Go Containers: A Practical Guide Hey Dev.to community! If you’re building Go microservices or containerized apps, you know memory management can make or break your application. Go’s lightweight concurrency and static binaries make it a favorite for Docker and Kubernetes, but its memory behavior can be tricky in containers. Picture your container as a tiny spaceship: mismanage memory, and you’re risking an Out of Memory (OOM) crash that sends your app into the void. 🚀 This guide is for Go developers with 1–2 years of experience who want to tame memory usage in containerized environments. We’ll dive into Go’s memory model, explore container limits, share real-world optimization tricks, and sprinkle in code snippets you can try yourself. By the end, you’ll know how to configure memory limits, tune garbage collection (GC), and avoid common pitfalls. Let’s make your Go apps lean, stable, and container-ready! Feel free to share your own tips in the comments—I’d love to hear them! Before we tackle containers, let’s break do https://lnkd.in/gEaV5CUk

Ever been in a meeting where someone says "We need a reverse proxy" and you just nod along? I created this one-liner guide to 11 essential backend concepts. From API Gateways to Kubernetes each technology explained in a single, practical sentence. Which concept do you use most in your stack? Let me know below! 👇 #BackendDevelopment #WebDevelopment #TechCommunity #LearnToCode #SoftwareArchitecture

💡 Split it. Connect it. Run it. That’s how I built BlueWave Tracker. With 𝐃𝐨𝐜𝐤𝐞𝐫 𝐂𝐨𝐦𝐩𝐨𝐬𝐞, I turned a simple Flask project into a connected system of three services: 𝐅𝐥𝐚𝐬𝐤 → backend web server  𝐑𝐞𝐝𝐢𝐬 → stores visits (with Docker volumes for persistence) 𝐍𝐆𝐈𝐍𝐗 → reverse proxy + load balancer   Each runs in its own container, but together they act like one seamless app.   A small build — but a big step toward understanding real-world orchestration. Github repo in the comments below 👇 #Docker #DevOps #Containers #LearningInPublic 

🚀 High level step to Deploying an Application with Docker + Kubernetes 1️⃣ Dockerize the App – Package code into a container image. :- Write the docker file & Use docker build, test locally with docker run. 2️⃣ Push to Registry – Store the image in DockerHub, ECR, or GCR. :- Use docker load, docker tag, docker push. 3️⃣ Create Deployment – Define pods and replicas in Kubernetes YAML. :- Create deplyment file 4️⃣ Expose via Service – Make the app accessible (NodePort/LoadBalancer/Ingress). 5️⃣ Deploy & Verify – Apply YAML, check pods, test endpoints. :- Apply deplyment file with kubectl apply deplyment.yaml 6️⃣ Scale & Update – Adjust replicas, roll out new images seamlessly. :- Kubectl scale deplyment with -- replica from 2 to 3 7️⃣ Monitor & Logs – Track health, performance, and errors. :- kubectl get logs :- kubectl get events

Traefik - The Easiest Way Deploy Applications to VPS Deploying multiple applications on VPS can be messy, we need to manage domain, SSL certification, reverse proxy rules, load balancing and more. Traefik makes it easy for developers to deploy and manage deployment. 👉 Traefic comes with: ✅ Modern reverse proxy and load balancer. ✅ Auto detects your apps (Docker/K8s/bare-metal) ✅ Secures them with free Let’s Encrypt SSL ✅ Dynamically routes traffic (no endless config needed) ✅ Beautiful monitoring dashboard 👉 Why Traefik: Simplicity → Just add labels, Traefik does the rest Security → HTTPS by default, auto-renewed certs Scalability → Add/remove apps with zero hassle Flexibility → Works with Docker, Kubernetes, or plain servers If you’re planning to deploy multiple application on VPS, Traefic makes it simple and easy for you. #deployment #vps #webapplication #misbahurbd #treafik #business #development #devops

🌐Topic: Ingress 🔄Scenario: 💡You are running three services inside your Kubernetes cluster: 📌frontend-service for the UI 📌backend-service for APIs 📌admin-service for the admin dashboard ➡️ Currently, you're exposing them with NodePort services. To access them externally, you're forced to use random high port numbers like :30080, :30081, etc. 🧭This is messy for users, hard to manage, and not production-ready. ➡️Your manager asks: 🚨"Can we expose all these services behind a single domain like myapp.com, with different paths for each service?" ⏭️Solution: This is exactly where Ingress comes into play. Deploy an Ingress Controller (like NGINX Ingress Controller). Create an Ingress resource with routing rules such as: ▶️ myapp.com/ - forwards traffic to frontend-service ▶️myapp.com/api→ forwards traffic to backend-service ▶️myapp.com/admin - forwards traffic to admin-service ✅Now instead of remembering NodePorts, users simply access everything via one domain. 🎯Benefits: ✔️Clean and professional URLs ✔️Centralized entry point for external traffic ✔️Easier SSL/TLS (HTTPS) management ✔️Flexible path-based and host-based routing 🌍In short: Ingress simplifies external access by acting as the traffic director for your cluster. #DevOps #Kubernetes #CloudNative #Containers #justvisualise

🚀 Day 8 of #LearningUtsav2025 Today I learned about HTTP status codes — something small that every API uses but few developers fully understand. Whenever a client (like your frontend) talks to a server, the server responds with a status code — a simple number that tells what happened: ✅ 2xx — Success (like 200 OK, 201 Created) ⚠️ 4xx — Client errors (like 400 Bad Request, 404 Not Found) 💥 5xx — Server errors (like 500 Internal Server Error) Knowing how and when to use them makes debugging and API design much clearer — and helps you communicate better between frontend and backend. #FestivalOfLearning #LUD8 #api #backend

🚀 𝗧𝘂𝗿𝗻𝗶𝗻𝗴 𝗮 .𝗡𝗘𝗧 𝗖𝗟𝗜 𝘁𝗼𝗼𝗹 𝗶𝗻𝘁𝗼 𝗮 𝗡𝗼𝗱𝗲.𝗷𝘀 𝘀𝗲𝗿𝘃𝗶𝗰𝗲 I recently faced a tricky challenge: transforming a complex .NET CLI app, built to parse a proprietary binary protocol, into a more flexible solution. It's powerful but, in fact, locked to Windows. Rewriting it from scratch wasn't an option, and the pre-built self-contained version wouldn't run on Mac (my host system) without modifying the source code – something I'd like to avoid. 🎯 I wanted to make it accessible to other backends, like Node.js, and turn it into a self-hosted service. 𝗛𝗲𝗿𝗲'𝘀 𝘄𝗵𝗮𝘁 𝗜 𝗱𝗶𝗱: • Created a multistage Dockerfile to containerize the CLI, making it platform-agnostic • Built a lightweight Node.js server to wrap the CLI's output and expose its functionality via a REST API • Added docker-compose configs both for prod and dev (with hot reloading) • Implemented a smart build process to skip rebuilding the CLI app when only the Node.js server code changes • Tested this setup on fly(dot)io and render(dot)com – both ran the container smoothly on their free tiers with limited resources • Added a simple web playground for testing 𝗧𝗵𝗲 𝗥𝗲𝘀𝘂𝗹𝘁: • The CLI is now a portable service I can deploy anywhere containers are supported • No dependency on .NET runtime on the host • A thin REST api layer for interaction It's not rocket science, but it shows how even complex desktop-oriented tools can be repurposed as lightweight services with very little glue code. I leave a link to the source code in the comments to let you explore the result. ✍️ How do you find this approach? #DevOps #Containerization #REST #SoftwareEngineering