GitHub Release Tracking in Issue Sidebar

𝐈𝐦𝐩𝐫𝐨𝐯𝐞𝐝 𝐬𝐞𝐚𝐫𝐜𝐡 𝐟𝐨𝐫 𝐆𝐢𝐭𝐇𝐮𝐛 𝐈𝐬𝐬𝐮𝐞𝐬 𝐢𝐬 𝐧𝐨𝐰 𝐠𝐞𝐧𝐞𝐫𝐚𝐥𝐥𝐲 𝐚𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞 The improved search for GitHub Issues enhances the ability to locate specific issues quickly. This new functionality was first previewed publicly in January and has since been developed for general availability. It simplifies issue tracking and management for teams. 💡 Act now to leverage the improved search functionality. This enhancement can significantly boost productivity by making issue management more efficient. 👉 https://lnkd.in/exy_ivWS GITHUB — GitHub Issues · 🟡 MEDIUM #AWS #AmazonWebServices #CloudComputing #DevOps #CloudUpdates

513: GitHub's agentic features vs. Azure DevOps' user tracking. GitHub excels in intelligent workflows, but Azure DevOps offers clearer individual contributor identification. A trade-off to consider. #DevOps #GitHub #AzureDevOps #SoftwareDevelopment #TechTools

𝐆𝐢𝐭𝐇𝐮𝐛 𝐂𝐨𝐝𝐞 𝐐𝐮𝐚𝐥𝐢𝐭𝐲: 𝐈𝐦𝐩𝐫𝐨𝐯𝐞𝐦𝐞𝐧𝐭𝐬 𝐭𝐨 𝐬𝐭𝐚𝐧𝐝𝐚𝐫𝐝 𝐟𝐢𝐧𝐝𝐢𝐧𝐠𝐬 𝐢𝐧 𝐩𝐮𝐛𝐥𝐢𝐜 𝐩𝐫𝐞𝐯𝐢𝐞𝐰 GitHub has enhanced the Code Quality feature to simplify how developers identify and manage code reliability findings. This helps teams maintain better code health and reduces manual triage time. 💡 Plan to integrate these improvements into your review process soon to benefit from better findings management and more efficient issue resolution. 👉 https://lnkd.in/eeAnGDUD GITHUB — GitHub · 🟡 MEDIUM #AWS #AmazonWebServices #CloudComputing #DevOps #CloudUpdates

🔵🟢 Recently worked on implementing Blue-Green deployment for our microservices on AWS (EKS), and it was a great learning experience. The idea is simple but powerful: Instead of deploying directly to production, we maintain two environments: 🔵 Blue → current live version 🟢 Green → new version Our approach: 🚀 Deploy the new version to the Green environment 🧪 Run validation checks (health checks, API testing) 🔁 Switch traffic from Blue to Green once everything is stable What stood out: ✅ Zero downtime deployments ✅ Instant rollback capability ✅ Safer releases with minimal risk In distributed systems, even a small deployment issue can impact multiple services. Having a strategy like Blue-Green helps ensure stability while rolling out changes confidently. ⚙️ In our case, this was implemented using Kubernetes (EKS) with controlled traffic switching via ingress. 🔍 Next, I’m exploring Canary deployments 🐤—which take a more gradual approach by shifting traffic in percentages instead of switching all at once. Curious to hear—what deployment strategies are you using in your systems? #Microservices #AWS #Kubernetes #DevOps #CloudNative #CICD

🚀 From Code to Cloud: My DevOps CI/CD Pipeline Architecture As part of my DevOps learning journey, I designed a complete CI/CD pipeline using AWS and modern DevOps tools. 🔧 Tech Stack Used: GitHub (Source Code) Jenkins (CI/CD Automation) Docker (Containerization) Kubernetes (Orchestration) Terraform (Infrastructure as Code) AWS (Cloud Platform) 📌 Workflow: 1️⃣ Developer pushes code to GitHub 2️⃣ Jenkins triggers build pipeline 3️⃣ Docker image is created 4️⃣ Image pushed to Docker Hub / AWS ECR 5️⃣ Kubernetes deploys the application 6️⃣ Terraform manages infrastructure 💡 This architecture helps in: Faster deployments 🚀 Scalability 📈 Automation ⚙️ Reduced manual errors ❌ 📊 Sharing my architecture diagram below 👇 #DevOps #AWS #CloudComputing #Docker #Kubernetes #Terraform #CICD #Jenkins #LearningInPublic

🚀☁⚙ AWS CodeDeploy – Automated Application Deployment ⚙☁🚀 In DevOps, fast and reliable deployments are critical… 👉 AWS CodeDeploy makes it seamless 💪 --- 🔹 What is AWS CodeDeploy? AWS CodeDeploy is a service that automates application deployments to: 🖥 EC2 instances ☸ ECS (Fargate) 🧩 On-premise servers 👉 It helps deliver updates quickly, safely, and consistently 🚀 --- 🔹 How It Works: 👨💻 Code Push (GitHub) ⬇ ⚙ CI Build (Jenkins / GitHub Actions) ⬇ 📦 Artifact Ready ⬇ 🚀 AWS CodeDeploy Deployment ⬇ 🖥 Application Updated on Servers --- 🔹 Deployment Strategies: 🔵 In-Place Deployment ✔ Updates existing instances 🟢 Blue/Green Deployment ✔ Creates new environment ✔ Switches traffic after success ✔ Zero downtime 🔥 --- 🔹 Key Features: 🔄 Automated deployments ❤️ Health checks 🔐 Rollback on failure ⚡ Zero downtime (Blue/Green) --- 💡✨ Benefits: 🚀 Faster releases 🔐 Safe deployments 🔄 Easy rollback 📈 High availability --- 🔹 DevOps Use: ⚙ CI/CD pipelines 🐳 Container deployments ☁ Cloud-native applications 🚀 Production releases --- 🌟 AWS CodeDeploy ensures reliable, automated, and zero-downtime deployments #AWS #CodeDeploy #DevOps #CICD #CloudComputing #Automation #LearningJourney

🚀 Implementing Canary Deployment in Kubernetes Successfully completed a hands-on project on Canary Deployment Strategy using Kubernetes. In this task, I deployed two versions of an application (v1 & v2) and configured a Service to gradually route traffic to the new version. This approach helps in testing new releases with minimal risk and ensures zero downtime. 🔹 Key Learnings: ✔️ Traffic splitting using replicas ✔️ Importance of labels & selectors ✔️ Service configuration and debugging ✔️ Safe rollout & quick rollback strategy This project gave me practical exposure to real-world deployment techniques used in DevOps and cloud environments. #Kubernetes #DevOps #CanaryDeployment #CloudComputing #LearningByDoing #CKA #Docker

Over the next few months, I’ll be sharing a series highlighting the courses I’ve completed this year. Each week, I’ll walk through key concepts, insights, and the skills I’ve developed. One concept that stood out to me was Instead of manually managing containers, you define the desired state of your application, and Kubernetes through components like deployments and replica sets ensures that state is maintained automatically. This shift from manual control to automated orchestration really changed how I think about deploying and managing applications at scale. I’ll be sharing more key learnings and practical insights in the next post. #kubernetes #CloudComputing #DevOps #Containerization #AWS #CloudSkills #SoftwareEngineering #Platformengineering

Built an End-to-End DevOps Project on Azure! I recently completed a hands-on project implementing a full DevOps pipeline using Azure services, Terraform, Kubernetes, and GitHub Actions. * What I built: • Provisioned infrastructure using Terraform (modular approach) • Deployed a Flask application on Azure Kubernetes Service (AKS) • Containerized the app using Docker and stored it in Azure Container Registry (ACR) • Implemented CI/CD pipeline using GitHub Actions • Integrated Azure Key Vault using Secrets Store CSI Driver for secure secret management • Used Managed Identity for secure access (no credentials stored in code) • Added deployment validation using kubectl dry-run. Secrets are securely stored in Azure Key Vault and dynamically fetched by the application at runtime — no hardcoding! GitHub Repo: https://lnkd.in/gwEhf-Ex This project helped me strengthen my understanding of: > Infrastructure as Code > Secure secret management > Kubernetes deployments > CI/CD automation Would love to hear your feedback and suggestions! I am planning to implement Hub and Spoke Model to this project: Hub VNet (shared services) ↓ Spoke VNet (AKS) ↓ Secure, scalable architecture *Follow me for more real-world DevOps projects and cloud learning content* #DevOps #Azure #Terraform #Kubernetes #AKS #Cloud #GitHubActions #Docker #SRE

Kubernetes Basics: Orchestrating Modern Applications ☸️ As applications grow and containerization becomes more common, managing multiple containers efficiently becomes a challenge. This is where Kubernetes comes in. Kubernetes is an open-source platform originally developed by Google to automate the deployment, scaling, and management of containerized applications. When applications run in containers using tools like Docker, Kubernetes helps coordinate those containers across clusters of machines. Some core Kubernetes concepts include: • Pods – The smallest deployable units that contain one or more containers • Nodes – The machines where containers run • Clusters – Groups of nodes working together • Services – Provide stable networking and communication between components With Kubernetes, teams can build systems that are more scalable, resilient, and easier to manage in cloud environments. Understanding Kubernetes basics is an important step toward mastering modern cloud-native application development. 💬 Have you started exploring Kubernetes in your development or DevOps journey? #Kubernetes #DevOps #CloudComputing #Docker #SoftwareDevelopment