How to use Serverless Node.js with Kubernetes in 2025

🚀 From Node.js/Nest.js to AWS Lambda with GitHub Actions & Docker 🔹 Stack used: Node.js/Nest.js for the backend logic Docker for containerizing the app GitHub Actions for continuous integration AWS Lambda (via container image) for serverless deployment 🧩 Workflow summary: 1️⃣ Code pushed to the main branch triggers a GitHub Action. 2️⃣ Action builds a Docker image of the Node.js app. 3️⃣ The image is pushed to Amazon ECR (Elastic Container Registry). 4️⃣ Finally, Lambda automatically updates with the new container version — zero downtime. ✨ Why this setup rocks: No manual deployment Faster iterations Easy rollback with Docker image tags Cost-efficient thanks to AWS Lambda’s pay-per-use model 💡 If you’re managing Node.js microservices or backend APIs, this pipeline can massively improve your DevOps workflow — combining the power of GitHub Actions automation with the scalability of AWS Lambda. #NodeJS #GitHubActions #Docker #AWSLambda #DevOps #CICD #Serverless

Node.js Backend Performance Optimization: 5 Serverless Strategies for 2025 - Expert Developers' Insights The world of backend development is constantly evolving, and with the rise of serverless architectures, Node.js developers have a powerful toolkit at their disposal. But power without precision is, well, just power. Optimizing your Node.js backend... Read more: https://lnkd.in/giJaJRM8 #Node_js #Serverless #Performance_Optimization #Backend #Expert_Developers #AWS_Lambda #Azure_Functions #Google_Cloud_Functions

Hands-on with Docker & Production Deployment Today, I worked on containerizing a React application using a multi-stage Dockerfile and serving it through Nginx (Alpine). This approach is commonly used in production to create fast and lightweight frontend images. 1️⃣ Multi-Stage Dockerfile Work Built the React application using Node Served the build output through Nginx Optimized the overall image size Exposed port 80 for hosting the frontend Learned how Nginx handles static files efficiently 2️⃣ Docker Concepts I Practiced Running multiple MySQL containers (different versions) Mapping ports and fixing port conflicts Checking logs using docker logs Entering containers via docker exec Using lsof to identify which process is using a port Understanding the difference between Dockerfile and Docker Image 3️⃣ What This Setup Achieves Builds a React app in an isolated environment Copies only the optimized production build Serves static files through a lightweight Nginx server Creates a portable, production-ready container #Docker #ReactJS #Nginx #DevOps #Cloud #LearningInPublic #Frontend #FullStack #SoftwareEngineering #Containerization

“Stepping deeper into #Docker and #DevOps 🚀 Experimented with #NGINX as a reverse proxy for two #NodeJS apps using #DockerCompose. Learn how container networking and load balancing actually work in practice. #CloudComputing #Containers #DevOpsJourney #LearningByDoing”

Node.js Serverless Mastery: AWS Lambda Solutions by Expert Developers in 2025 Welcome to the future of backend development! In 2025, serverless architectures powered by Node.js and AWS Lambda are no longer a trend – they're the standard. Imagine deploying scalable, cost-effective, and event-driven applications with ease. Bu... Read more: https://lnkd.in/g8Kg_fVu #Node_js #AWS_Lambda #Serverless #Backend_Development #Expert_Developers #Serverless_Architecture #JavaScript #Microservices

⚙️ When a “simple” deployment turns into a debugging masterclass Last week, while deploying one of our Spring Boot microservices to AWS EKS, everything looked perfect builds passed, containers healthy, but the frontend (React 16) started throwing random 500s. I love these moments. They look like chaos, but they teach the most. After hours of tracing through CloudWatch logs and Axios calls, I discovered the culprit a missing environment variable in the container definition that caused our API to hit the wrong load balancer endpoint after scaling. 🧩 The Fix Patched the Deployment.yaml with a config map binding. Added a Jenkins validation step that checks env-mappings before rollout. Re-deployed… smooth traffic, zero 500s. 🔍 The Lesson Sometimes the issue isn’t in the code you wrote it’s in the environment it lives in. Full-stack isn’t about knowing two languages; it’s about seeing how UI, backend, and cloud pipelines dance together. #FullStackDeveloper #AWS #ReactJS #SpringBoot #DevOps #ProblemSolving #JavaDeveloper

🚀 Just automated my deployment from GitHub to Azure! I'm excited to share that I've successfully set up a CI/CD pipeline for my Node.js API server using GitHub Actions. Here's what the pipeline does on every push to the main branch: -> 1. Build & Test: Spins up an Ubuntu runner, installs Node.js v22, and all project dependencies. -> 2. Quality Assurance: Runs the test suite using Jest to ensure nothing breaks. -> 3. Deploy: Automatically deploys the built artifact to my Azure Web App, ensuring a smooth and consistent release process. This automation enforces code quality, reduces manual deployment errors, and allows me to ship features faster. 💻⚙️ Tech Stack: GitHub Actions, Azure Web Apps, Node.js, Jest. #CI/CD #GitHubActions #Azure #DevOps #NodeJS #Automation #SoftwareEngineering #CloudComputing

🚀 How I set up a CI/CD pipeline for a Node.js app using AWS When I first started working on backend projects, writing the code was the fun part, but deploying it manually again and again? Not so much 😅 That’s when I realized the real power of CI/CD automating the entire journey from commit → build → deploy. Here’s how I built a clean, AWS native pipeline for one of my Node.js apps 👇 ⚙️ Tech Stack I used 1. AWS CodePipeline → the brain of the workflow. 2. AWS CodeBuild → installs dependencies, runs tests, and builds. 3. AWS S3 → stores the build artifacts. 4. AWS Elastic Beanstalk / ECS → handles deployment automatically. 📗How it flows 1. Push code to GitHub (or CodeCommit). 2. CodePipeline picks it up instantly. 3. CodeBuild runs npm install, npm test, and npm run build. 4. The artifact is deployed to Elastic Beanstalk or ECS. 5. App goes live, no manual steps, no downtime. 🔹 Some lessons learned 1. Always define a buildspec.yml (it’s your build blueprint). 2. Keep environment variables in Parameter Store or Secrets Manager. 3. Use CloudWatch Logs; it saves hours when debugging. 4. Stick to least-privilege IAM roles (security > convenience). 5. Add a staging environment before pushing to production. 💬 Why I love this setup: It saves time, prevents human errors, and allows me to ship updates confidently. Once the pipeline is live, it feels like having an invisible teammate who deploys for you. 📝 Note: Enable build caching in CodeBuild, which cuts build time by nearly 40%. #AWS #NodeJS #DevOps #BackendDevelopment #CodePipeline #CICD #CloudEngineering

💡 How to Keep Your Node.js Cron Jobs Alive — Even When the Server Crashes Ever had your Node.js server crash and suddenly your cron jobs stopped running? It’s one of those “oh no” moments we all hit eventually. 😅 Here’s what really happens: Most of us set up cron jobs inside the Node app (using node-cron, agenda, etc.). But when the app crashes or restarts, those scheduled tasks die with it. So how do we fix it? 🚀 3 battle-tested approaches: 1️⃣ Use a Process Manager (PM2 / Docker) Let PM2 auto-restart your Node process if it crashes. Simple setup Great for small deployments Still pauses jobs during restarts 2️⃣ Run Cron Jobs Externally (Best Practice) Move cron logic outside your main server. Use a separate worker process (worker.js) Or a Linux cron / Kubernetes CronJob / AWS CloudWatch Event Keeps jobs running even if your web app crashes 3️⃣ Use a Managed Scheduler If you’re in the cloud: AWS Lambda + CloudWatch Events Google Cloud Scheduler Temporal.io, BullMQ, or Agenda with Redis These run independently and reliably. 💡 Bonus tip: If multiple app instances are running, use a distributed lock (e.g. Redlock + Redis) so only one instance executes the job at a time. ✅ My Recommendation: Keep your cron logic separate from the main API. Use PM2 (or Docker) to keep both the API and worker alive. Add a Redis lock if scaling horizontally. This setup has saved me (and my teams) from so many “why didn’t the job run?” mysteries. 😎 How are you managing your cron jobs in production? Curious to hear other setups. 👇 #NodeJS #Backend #DevOps #PM2 #CronJobs #SoftwareEngineering #WebDevelopment

Everything was running perfectly... until CORS showed up. Last week, I deployed a frontend and backend setup that I’d carefully containerized, pipelined, and pushed to Kubernetes. All green lights. ✅ Then suddenly — my browser threw that infamous message: ❌ “Blocked by CORS policy.” At that moment, it hit me — CORS isn’t just a frontend developer’s problem. It’s a DevOps concern, hidden deep in the layers of our infrastructure. CORS (Cross-Origin Resource Sharing) is like the security customs officer between your browser and your backend — deciding who’s allowed to talk to whom. As DevOps engineers, we often configure: - Reverse proxies (NGINX, Traefik) - API Gateways (AWS, Azure, Huawei) - Ingress Controllers (Kubernetes) …but if those components don’t play nice with Access-Control-Allow-Origin, things break fast. That’s why I wrote an article called “CORS in DevOps: The Silent Gatekeeper Between Frontend and Backend” — a deep yet fun exploration of: - Why CORS exists (and how browsers enforce it) - Real-world DevOps scenarios where it fails - Fixes using FastAPI, NGINX, and Ingress annotations - How different cloud platforms handle CORS If you’ve ever fought a mysterious CORS error mid-deployment (or helped a frontend team debug one at 2AM 😅), this is for you. 👉 https://lnkd.in/dAsuDES3 Let’s stop blaming CORS and start understanding it — because sometimes, it’s just doing its job too well. 🔐 #DevOps #CloudEngineering #Kubernetes #CORS #FastAPI #NGINX #AWS #Azure #InfrastructureAsCode #LinkedInTechCommunity