Kubernetes Job Failed Due to Resource Problem

Developed a full-stack URL Shortener – **LinkSnap** I am happy to announce my recent DevOps project - a fully containerized URL shortener application utilizing the latest technologies and best production architectures. ## Technology Stack * React 18 (Client) * Node.js + Express (Back-end) * PostgreSQL 17 (Database) * Docker & Docker Compose * Nginx ## DevOps Concepts Used ✔ Multi-stage Docker builds (optimized image size) ✔ Docker Compose orchestration (3 services) ✔ Named volumes for persistent data storage ✔ Service discovery through bridge network ✔ Health check to prevent race conditions ✔ Configuration via environment variables (.env) ✔ Nginx setup ## Lessons Learned * Containerization process in production * Communication between services in Docker networks * Separation of build time and runtime * Deployment process using Docker This project has allowed me to learn about the deployment of modern applications in actual DevOps setups. Please feel free to comment on my project 👍 #DevOps #Docker #NodeJS #React #PostgreSQL #FullStack #DockerCompose #Back-end

🚀 Tech Stack for Backend Engineering — A Practical Overview Backend engineering is about building systems that are scalable, reliable, and efficient ⚙️ From choosing the right programming language to designing APIs, managing databases, and deploying on cloud — every layer of the stack plays a critical role. 🔹 Languages → JavaScript, Python, Go, Java, Rust 💻 🔹 Frameworks → Node.js, FastAPI, Spring Boot, Django ⚡ 🔹 Databases → PostgreSQL, MySQL, MongoDB, Redis 🗄️ 🔹 Cloud & Deployment → AWS, Docker, Kubernetes ☁️ 🔹 CI/CD & Version Control → GitHub, Jenkins, GitLab 🔄 💡 Strong backend systems are not built with one tool, but by understanding how the entire stack works together. #BackendDevelopment #SoftwareEngineering #DevOps #CloudComputing #SystemDesign #Programming #WebDevelopment #TechStack #Engineering #CI_CD

 Docker changed how I think about software. Here are the 5 commands I use every single day. When I started using Docker 3 years ago, I spent 2 hours Googling commands for every task. Now I have a mental shortlist I use daily. Here it is: 1. docker compose up -d   Spin up your entire stack in the background. Database, backend, frontend — all at once. 2. docker logs -f [container]   Follow logs in real time. Essential for debugging running containers. 3. docker exec -it [container] bash   SSH into a running container. Life-saving when you need to debug inside. 4. docker system prune -a   Clear all unused images, containers, volumes. Frees up gigabytes fast. 5. docker build --no-cache -t myapp .   Force a clean rebuild. Use this when cached layers are causing mysterious bugs. Bonus tip: Always use .dockerignore. Just like .gitignore but for Docker builds. Skipping it makes your images unnecessarily large. Save this. Your future self will appreciate it. What Docker command should be on this list? Add it below. #Docker #DevOps #SoftwareEngineering #BackendDevelopment #OpenToWork

🚨 Most backend engineers think they’re good at debugging. Until production breaks. Anyone can write code. Anyone can build APIs. But when a microservice fails at 2 AM… ⌛ logs are messy… and nothing makes sense... That’s where real engineers are different. Here’s what actually helps: • Reading logs like a story, not just scanning errors • Understanding system flow across microservices • Knowing how APIs, databases, and services interact • Reproducing issues before writing a single fix • Staying calm under pressure (this is underrated) Whether it’s Spring Boot, distributed systems, or AWS, debugging exposes how deep your understanding really is. Good developers write code. Great engineers debug systems. 💡 #BackendEngineer #Java #SpringBoot #Microservices #SystemDesign #AWS #APIs #Debugging #SoftwareEngineering #dotnet #csharp

🚀 .𝗡𝗘𝗧 𝗶𝘀 𝗾𝘂𝗶𝗲𝘁𝗹𝘆 𝗯𝗲𝗰𝗼𝗺𝗶𝗻𝗴 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗲𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗳𝗼𝗿 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗺𝗼𝗱𝗲𝗿𝗻 𝗱𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝗱 𝘀𝘆𝘀𝘁𝗲𝗺𝘀. ✒️ Most people still associate it with legacy enterprise apps. That’s outdated. In real production environments today, .NET is doing some serious heavy lifting 👇 🔹𝗛𝗶𝗴𝗵-𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗔𝗣𝗜𝘀 𝘄𝗶𝘁𝗵 𝗔𝗦𝗣.𝗡𝗘𝗧 𝗖𝗼𝗿𝗲 Kestrel is insanely fast. Minimal APIs make microservices lightweight and clean. 🔹𝗖𝗹𝗼𝘂𝗱-𝗻𝗮𝘁𝗶𝘃𝗲 𝗿𝗲𝗮𝗱𝘆 Works seamlessly with Docker, Kubernetes, and Azure. Scaling .NET microservices today feels no different than Spring Boot on AWS. 🔹𝗙𝘂𝗹𝗹-𝘀𝘁𝗮𝗰𝗸 𝗰𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝘆 With Blazor, you can go full-stack C# without switching to JavaScript. Not for every case, but powerful in the right architecture. 🔹𝗦𝘁𝗿𝗼𝗻𝗴 𝘁𝘆𝗽𝗲 𝘀𝗮𝗳𝗲𝘁𝘆 + 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 Compared to Node.js stacks, .NET gives better compile-time safety and predictable performance under load. 🔹𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 In many real systems, I’ve seen .NET services co-exist with Java microservices. Clean API contracts make polyglot architecture actually work. 🧠 𝗢𝗻𝗲 𝗶𝗻𝘁𝗲𝗿𝗲𝘀𝘁𝗶𝗻𝗴 𝘀𝗵𝗶𝗳𝘁 𝗜'𝗺 𝘀𝗲𝗲𝗶𝗻𝗴: Teams are no longer debating Java vs .NET. 𝗧𝗵𝗲𝘆'𝗿𝗲 𝗰𝗵𝗼𝗼𝘀𝗶𝗻𝗴 𝗯𝗮𝘀𝗲𝗱 𝗼𝗻: ✔ Team expertise ✔ Performance needs ✔ Cloud alignment Not language wars. 🧠 If you’re building microservices today, ignoring .NET is a mistake. Curious to hear from others working in production systems 📒 Are you seeing .NET gaining ground again in microservices and cloud-native setups? #dotnet #microservices #cloudnative #backenddevelopment #softwareengineering #aspnetcore #architecture

Building Scalable Systems Isn’t Just About Code — It’s About Ownership. Over the last few years, I’ve worked across multiple stacks — from Python, Node.js, and .NET to Next.js and cloud-native architectures on AWS. But one thing has remained constant: The real impact comes when you own the problem, not just the task. In fast-paced environments, I’ve learned that: Writing clean code is important — but designing scalable architecture is critical Delivering features matters — but delivering reliability builds trust Meeting deadlines is good — but taking ownership creates long-term value Recently, I’ve been focusing more on: Designing microservices-driven systems Improving performance & scalability Building clean, reusable UI systems with Next.js Streamlining CI/CD and deployment pipelines My goal is simple: Build systems that are not just functional, but efficient, scalable, and future-ready. If you're working on something exciting in SaaS, automation, or scalable platforms,I’d love to connect and exchange ideas. #FullStackDeveloper #SoftwareArchitecture #NextJS #Laravel #DotNet #AWS #ScalableSystems #TechLeadership #RemoteWork

Caption Option 1: Professional Full Stack Developer Skills for 2026 🚀 Frontend, Backend, Database, DevOps - this roadmap covers it all. Tech moves fast, but fundamentals stay. Master these layers to ship real products end-to-end. What skill are you focusing on in 2026? #FullStack #WebDevelopment #SoftwareEngineering #DevOps #TechSkills #Programming #2026Roadmap Caption Option 2: Engaging & Save-worthy Your Full Stack cheat sheet for 2026 is here 👇 From HTML & React to http://Node.js, PostgreSQL, Docker, and AWS - this covers the full cycle. Save this post for your learning journey. Which of these 4 pillars are you strongest in: Frontend, Backend, Database, or DevOps? #FullStackDeveloper #LearnToCode #Coding #TechCareer #Developers

The shift to Microservices is more than a technical change; it is an architectural discipline. After over 4 years as a Full Stack Engineer, I have seen that success depends on clear service boundaries and robust API contracts. Using Java Spring Boot and PostgreSQL provides the necessary stability, while Docker and Kubernetes ensure these services scale effectively. Tools like Cursor, Claude Code, and GitHub Copilot help manage this complexity, but the engineer must still own the design to prevent a distributed monolith. By enforcing strict data validation with TypeScript and Zod at the gateway, we maintain system integrity across all service interactions. In a distributed world, the ability to design for both autonomy and consistency is the ultimate engineering value. #Microservices #SoftwareArchitecture #JavaSpringBoot #Docker #PostgreSQL #TypeScript #CloudComputing #BackendDevelopment #ClaudeCode #GitHubCopilot

After 10+ years of building enterprise-grade applications across healthcare and retail, here's what I've learned goes beyond the job description: Backend isn't just Java anymore. Spring Boot gets you in the door, but understanding Kafka event streaming, microservices decomposition, and API gateway patterns is what keeps production systems alive at scale. I've seen monoliths quietly killing teams — the shift to event-driven architecture changed everything. Frontend has raised the bar. React and Angular aren't optional "nice-to-haves." Users expect sub-second interactions. Pairing TypeScript for type safety with state management and lazy loading is now table stakes — not a bonus skill. DevOps is part of the job now. If you're still throwing code over the wall and calling it done, you're leaving half your value on the table. Docker + Kubernetes + Jenkins CI/CD pipelines — owning your deployment lifecycle means you ship faster and break less. Cloud-first thinking wins. AWS isn't just infrastructure. S3, Lambda, RDS, CloudWatch — these are architectural decisions that affect cost, reliability, and scalability from day one. What I wish someone told me earlier: The gap between a developer who writes code and an engineer who solves business problems is curiosity + ownership. Learn the why behind every architecture decision, not just the how. Full stack isn't a title. It's a mindset. 💡 #Java #SpringBoot #FullStackDeveloper #Microservices #React #AWS #Kafka #SoftwareEngineering #TechCareers #LinkedInTech