Blue-Green Deployment in Kubernetes (Hands-on) Today I implemented Blue-Green Deployment in Kubernetes to achieve zero-downtime application updates. Instead of updating the existing version, I deployed: 🔵 Blue (v1) → Current live version 🟢 Green (v2) → New version Both versions were running simultaneously, and switched traffic instantly by updating the Service selector no downtime, no disruption. Special thanks to Ashutosh S. Bhakare for their valuable guidance to understand and implement this concept effectively. #Kubernetes #DevOps #CloudComputing #BlueGreenDeployment

Deploying backend on Kubernetes and debugging real-world issues — Day 34 Deployed FastAPI backend using Kubernetes (Deployment + Service) as part of my DevOps platform. Faced real production-like challenges: - Health check failures due to DB dependency - Kubernetes using cached Docker images despite rebuilds Resolved by: - Redesigning /health endpoint to remove external dependencies - Forcing image updates using imagePullPolicy: Always - Debugging using kubectl logs and rollout restart Key learning: Health checks must be lightweight and independent. Image versioning and pull behavior are critical in Kubernetes. This step marks my transition from containerization to orchestration. Next focus: Deploying full system (frontend + backend) on Kubernetes Project: https://lnkd.in/gj4YWDis #DevOps #Kubernetes #Docker #CloudEngineering #Microservices

Day 27 – Rolling Updates Keeping applications up-to-date without impacting users is crucial in modern deployments. Kubernetes makes this seamless with Rolling Updates. Instead of stopping everything at once, updates are applied gradually—ensuring your application stays available throughout the process. Even better, if something goes wrong, Kubernetes allows quick and easy rollback to a stable version. 💡 Key benefits: • Zero downtime deployments • Smooth version transitions • Easy rollback for safety • Improved reliability in production Rolling updates are a game-changer for delivering continuous improvements without disruption. #Kubernetes #DevOps #CloudNative #ZeroDowntimeDeployment

While Argo CD and Flux CD focus on Kubernetes, PipeCD goes further: - One tool for both GitOps Sync and progressive deployment. - Built-in secrets management. - Supports canary and Bluegreen for non mesh applications. - Deploy to multi-cloud environments from one place. With v1, you can extend it to fit your workflow by creating custom plugins. Watch how it is different, and try it out now. #PipeCD #GitOps #DevOps #CloudNative #Kubernetes #ContinuousDelivery #OpenSource #CNCF

DevOps and Platform engineers looking for simpler ways to handle deployment, watch how PipeCD differs from other GitOps tools and try it out. 🔗https://pipecd.dev/

DevOps Concept of the Day: Introduction to Containers Containers bundle your app + all dependencies into one portable unit that runs identically everywhere. Lighter than VMs, faster to start. Docker is the standard. The foundation of modern DevOps. Today's DevOps/MLOps update (ArgoCD): v3.4.0-rc6 Quick Start Non-HA: kubectl create namespace argocd kubectl apply -n argocd --server-side --force-conflicts -f… https://lnkd.in/d6efchCy Why it matters: Containers standardize environments, eliminating the classic 'works on my machine' problem. #Docker #Containers #DevOps #Microservices

Discover how Docker is shaking up the DevOps game! 🚀 Embracing containerization, Docker simplifies software development, testing, and deployment. Say goodbye to the 'it works on my machine' dilemma! 🙌 Benefits abound – consistency across environments, automated CI/CD pipelines, easy scaling with Docker Swarm & Kubernetes, and top-notch monitoring tools like Prometheus and ELK stack. But remember, as you sail through the Docker waves, security should be your anchor! ⚓ In a world craving speed and scalability, Docker is your trusty companion. Dive into containerization to unlock consistency, efficiency, and agility in software development. 🎯 #Docker #DevOps #Containerization #CI/CD #Scaling #Security #Agility Let's sail the container seas together, shall we? ⛵️

🚀 Release with Confidence: Learn how to manage feature rollouts and ensure microservices stability using #Dynatrace. Key takeaways from our latest use case tutorial: * Monitor service health effortlessly. * Set dynamic performance thresholds using auto-baselining. * Create Site Reliability Guardians for peak reliability. * Make data-driven "go / no go" decisions with feature flags.

🚀 Release with Confidence: Learn how to manage feature rollouts and ensure microservices stability using #Dynatrace. Key takeaways from our latest use case tutorial: * Monitor service health effortlessly. * Set dynamic performance thresholds using auto-baselining. * Create Site Reliability Guardians for peak reliability. * Make data-driven "go / no go" decisions with feature flags.

Day 08 of 30 Production deployment done. And a deeper dive into how Kubernetes handles them safely. What I did: 🚀 Deployed a new microservice to production Configured all environment variables securely using GitLab CI/CD Variables — no hardcoded values, no secrets in the code Verified the deployment end to end in the production environment This is the part that feels real. Pushing something live and watching it work. And then I went deeper into something I used— 🔄 Kubernetes Rolling Update Strategy I explored exactly how the numbers work: rollingUpdate: maxUnavailable: 0 maxSurge: 1 maxUnavailable — how many pods can go down during a deployment Value Meaning 0 No pod goes down until new one is ready 1 One pod can be unavailable during update 50% Half the pods can be down at once maxSurge — how many extra pods can spin up during a deployment Value Meaning 1 One extra pod created temporarily 2 Two extra pods during rollout 50% Up to 50% more pods than desired The sweet spot for zero downtime: maxUnavailable: 0 maxSurge: 1 This means — new pod comes up first, old pod goes down after. No gap. No downtime. Two things— one in production, one in learning. Both connected. #DevOps #Kubernetes #K8s #RollingUpdate #CICD #GitLabCI #Microservices #Production #Indore #DevOpsEngineer