Helm Chart Tutorial: Nginx Deployment

GitHub Actions pipeline slow? Add one block. - 𝚞𝚜𝚎𝚜: 𝚊𝚌𝚝𝚒𝚘𝚗𝚜/𝚌𝚊𝚌𝚑𝚎@𝚟𝟹 𝚠𝚒𝚝𝚑: 𝚙𝚊𝚝𝚑: ~/.𝚗𝚙𝚖 𝚔𝚎𝚢: ${{ 𝚛𝚞𝚗𝚗𝚎𝚛.𝚘𝚜 }}-𝚗𝚘𝚍𝚎-${{ 𝚑𝚊𝚜𝚑𝙵𝚒𝚕𝚎𝚜('**/𝚙𝚊𝚌𝚔𝚊𝚐𝚎-𝚕𝚘𝚌𝚔.𝚓𝚜𝚘𝚗') }} 5-minute builds drop to under 90 seconds. Most pipelines skip this. Most pipelines are slow. Add it today. I share pure DevOps content for free on DecodeOps. Subscribe for free: https://lnkd.in/g9kzj-5V

🚨 I intentionally broke my Kubernetes deployment this weekend… …and it was the best way to understand Helm. Instead of just reading about Helm concepts, I decided to learn it through a hands-on lab on Killercoda. The goal was simple: Deploy an NGINX Ingress Controller using a Helm chart and understand how Helm manages application releases. But the real learning started when I broke the deployment on purpose. Here’s what I explored: 🔹 Adding and managing Helm repositories 🔹 Inspecting Helm charts and their configuration (values.yaml) 🔹 Deploying an application using a Helm chart 🔹 Introducing a faulty configuration (invalid image tag) 🔹 Watching pods fail with ImagePullBackOff 🔹 Rolling back to a previous working release using Helm rollback That’s when Helm really clicked for me. Helm keeps revision history for every deployment, which means you can instantly revert to a working configuration. Conceptually it works like this: Helm Chart + Values ↓ Template Rendering ↓ Kubernetes Manifests ↓ Deployment in the Cluster And every change creates a new release revision that can be rolled back if needed. For teams running production Kubernetes workloads, this kind of safe deployment + quick recovery mechanism is incredibly valuable. 📚 Lab I followed: https://lnkd.in/gEgRruYt Medium Blog: https://lnkd.in/gBbs2k94 #Kubernetes #Helm #DevOps #CloudEngineering #CKA #WeekendLearning

Yesterday, I discovered the missing piece of my Docker Swarm setup. A declarative GitOps and Continuous Deployment tool for Docker Swarm. 🐳 It's called SwarmCD, and it is a lightweight alternative to ArgoCD for Swarm setups. Finally, I can get rid of the manual pipelines for deploying containers to the server. Just push the change to the repository, and the update is applied within a few seconds. What is your approach to deploying containers to Docker Swarm clusters? #dockerswarm #docker #gitops #devops

🚀 DevOps Journey Day 58 – Introduction to Helm! ☁️ Day 58 – 58 days strong! Today I learned **Helm** – the package manager for Kubernetes. Key points: • Helm Charts = reusable Kubernetes package (Deployment + Service + ConfigMap + Secret + Ingress all in one) • Structure: Chart.yaml, values.yaml, templates/ folder • Commands practiced: helm install, helm upgrade, helm list, helm uninstall • Created & deployed my first simple chart for nginx One command → full app deployed with configurable values. Huge time saver for complex setups! 👇 #DevOps #Kubernetes #Helm #K8s #Day58

A Terraform Core team member wrote a deep-dive series on Terraform's internals. Covers the parts developers actually encounter: → How the addressing system works → Reference resolution and value evaluation → The expansion mechanism → Error handling internals If you write Terraform daily but never looked under the hood, this changes how you debug. I share content like this every week in the DevOps Bulletin. Link to the full issue ↓ #devops #terraform #iac

Day 37 of #90DaysOfDevOps 🚀 Today I took a step back to revise and consolidate Docker concepts learned over the past few days. I created a Docker Cheat Sheet covering essential commands, Dockerfile instructions, and Docker Compose operations to make revision easier and faster. I also reviewed key concepts like container lifecycle, networking, volumes, multi-stage builds, and Docker Hub workflows to strengthen my understanding. This revision helped me identify weak areas and reinforce practical Docker knowledge used in real DevOps environments. 📂 GitHub progress 👉 https://lnkd.in/dB32x7tf #90DaysOfDevOps #TrainWithShubham #Docker #DevOpsJourney

Understanding how to build container images, manage them securely, and distribute them properly is essential for #DevOps professionals using Docker, Podman, and other OCI-compliant tools. Dive into this new episode of the DevOps Tools Engineer 2.0 Introduction series to learn more: https://lpi.org/ut2h Fabian Thorns Uirá Ribeiro #DevOps #Containers #Docker #ContainerImages #ContainerSecurity

🚀 Day 12 of the 30-Day Terraform Challenge and today it got real. Zero-downtime deployments. One of the most searched topics in DevOps, and for good reason, getting it wrong means your users feel every deployment you ship. Here is what I built today: ✅ An Auto Scaling Group behind an Application Load Balancer serving live traffic ✅ A rolling instance refresh that replaced v1 with v2 while the app stayed live, proven by a traffic loop running in a second terminal with zero errors or timeouts ✅ A blue/green listener switch that flipped traffic between environments in under 30 seconds with zero interruption The biggest lesson? Zero-downtime is not one thing. It is create_before_destroy, name_prefix, instance_refresh and smart load balancer configuration all working together. Pull out any one piece and something breaks. The best deployment is the one your users never noticed. Read the full breakdown here 👇 https://lnkd.in/d3QzFB8U Github link: https://lnkd.in/dadkmxWG #30DayTerraformChallenge #TerraformChallenge #Terraform #DevOps #ZeroDowntime #IaC #AWSUserGroupKenya #EveOps

Today I worked on a small hands-on project to understand Docker networking concepts using the Docker Zero to Hero repository. I explored how different Docker network drivers work: • Bridge Network – the default network where containers can communicate with each other using internal IPs. • Host Network – the container shares the host machine’s network stack, which removes network isolation. • Overlay Network – used in Docker Swarm to allow containers on different hosts to communicate. I created containers using Nginx and experimented with running them on different network drivers to see how communication and isolation work between containers.Looking forward to exploring more around Docker, containers, and DevOps practices. #Docker #DevOps #Containerization #LearningJourney

🚀 Docker in 7 Days – DevOps Essentials Day 1️⃣: What is Docker? Docker is a platform that allows developers to package an application along with all its dependencies into a container. This ensures the application runs the same everywhere. Without Docker: ❌ Environment conflicts ❌ Dependency issues ❌ “Works on my machine” problems With Docker: ✔ Consistent environments ✔ Faster deployments ✔ Easy scalability Think of Docker containers like shipping containers for software. Develop once → Run anywhere. Follow this series as I break down Docker in simple terms over the next 7 days. #Docker #DevOps #CloudComputing #Containers #SoftwareEngineering #AzureDevOps