Hanumanth Reddy Singireddy’s Post

What Actually Runs Your Code? We write code. We compile it. We deploy it. But what actually executes it? The Runtime Environment. A runtime environment is the layer that makes your application come alive. It handles: • Memory management • Execution engine • System interaction • Error handling • Resource management Without it, your application is just text. Java Runtime Environment (JRE) In Java, execution happens inside the JRE, powered by the JVM (Java Virtual Machine). Flow: .java → Bytecode (.class) → JVM executes The JVM manages: • Heap & Stack memory • Garbage Collection • JIT (Just-In-Time) Compilation • Thread management That’s why Java is called: “Write Once, Run Anywhere.” Because the JVM abstracts the OS. JavaScript Runtime Environment JavaScript runs inside: • Browsers • Node.js It relies on: • JS Engine (V8) • Event Loop • Web APIs / Node APIs JavaScript is: → Single-threaded → Event-driven → Non-blocking That’s why async behavior feels completely different from Java’s threading model. Most performance issues aren’t framework problems. They’re runtime behavior problems. Understanding how your runtime manages: • Memory • Threads • Event loops • Garbage collection … is what separates mid-level developers from senior engineers. In the next post, I’ll deep dive into: “How JVM Garbage Collection Actually Works in Production (and why it impacts your app performance)” Follow for more deep engineering breakdowns. #fullstack #java #javascript #backend #softwareengineering #webdevelopment #jvm

5 REST API Best Practices Every Backend Developer Should Follow Building APIs is easy. Building scalable and clean APIs? That’s where experience matters. Here are 5 practices I always follow while working with Spring Boot: 1. Use proper HTTP methods (GET, POST, PUT, DELETE correctly) 2. Keep endpoint names clean and resource-based (/users instead of /getUsers) 3. Handle exceptions globally using @ControllerAdvice 4. Return meaningful HTTP status codes 5. Validate request payloads using @Valid Small improvements in API design make a big difference in: -> Performance -> Maintainability -> Frontend integration -> Production stability As a Java Full Stack Developer, writing clean APIs makes frontend integration smoother and debugging easier. Clean backend = Clean system. #Java #SpringBoot #RESTAPI #BackendDevelopment #FullStackDeveloper #SoftwareEngineering

Thursday Thoughts: Building Systems That Actually Scale One thing 8+ years in full-stack development has taught me: Writing code is easy. Designing systems that survive real users is the real challenge. In my recent projects working with Java, Spring Boot, Microservices, and Angular, I’ve realized that scalable applications are built on 3 core principles: -> Clean Architecture > Quick Fixes Shortcuts may work today, but they cost double tomorrow. -> Performance is a Feature Optimized queries, proper indexing, async processing, caching these small decisions create big impact. -> Front-end Matters as Much as Backend A powerful API means nothing if the UI isn’t intuitive and responsive. Recently, while optimizing a claims-processing workflow, we reduced manual review time significantly just by: Improving API response times Refactoring validation logic Designing smarter UI components Sometimes impact doesn’t come from “new technology”. It comes from improving what already exists. #Java #SpringBoot #Angular #Microservices #FullStack #SoftwareEngineering #TechCareers #ThursdayThoughts

As a backend developers, we know this clearly: If the API fails, the whole product fails. Frontend shines Backend survives. Architecture decide everything #Backend #Java #SystemDesign

Streamlining Backend Development: The Power of Spring Boot Starters 🚀 In modern Software Engineering, the speed of delivery is just as critical as the quality of code. For Java Developers, one of the biggest productivity boosters is the Spring Boot Starter ecosystem. 🔹 The Dependency (Maven) 📦 By simply adding the spring-boot-starter-web dependency to your pom.xml, you automatically pull in everything needed for web development, including Spring MVC, Jackson for JSON processing, and an Embedded Tomcat server. This "opinionated" approach allows us to focus on building features rather than fighting with infrastructure. 🔹 The Implementation 🛠️ With just a few lines of code and the @RestController annotation, we can define a robust entry point for our service. The @GetMapping annotation handles the routing logic seamlessly, returning a simple "Hello, World!" response with minimal boilerplate. The Professional Edge 💡 For teams building Microservices Architecture, this level of abstraction is vital. Understanding how these starters manage transitive dependencies is a key skill for any Backend Engineer looking to optimize system performance. #SpringBoot #JavaDeveloper #BackendEngineering #Microservices #SoftwareArchitecture #CleanCode #FullStackDeveloper #TechInsights #Maven #RestAPI

🚀 Day 50 – Building a URL Shortener with Spring Boot Today I implemented the core redirect functionality of my URL shortener backend. The system can now generate short URLs and redirect users to the original destination using HTTP redirects. The application now supports: • Creating short URLs through a REST API • Redirecting users to the original link using the generated short code • Structured backend architecture using Controllers, Services, DTOs, and Models While testing the API, I also handled endpoint mapping conflicts and refined the controller structure to ensure clean routing. This milestone completes the core functionality of a URL shortener service, similar to how platforms like Bitly work at a basic level. Tech Stack: Java • Spring Boot • REST APIs Consistent progress every day is slowly turning this project into a complete backend system. Looking forward to improving the architecture further in the coming days. #Java #SpringBoot #BackendDevelopment #100DaysOfCode #BuildInPublic

Pagination & Sorting in Backend Development (Java | Spring Boot) 🔹 Pagination is the process of dividing large datasets into smaller chunks (pages) to improve performance and user experience. Instead of loading 10,000 records at once, we fetch them page by page. In Spring Boot (Spring Data JPA), pagination is easily handled using Pageable and Page interfaces. 🔹 Sorting allows data to be ordered based on one or more fields (e.g., by name, date, price — ascending or descending). Spring Data provides built-in support using the Sort class or combining it with Pageable. Why it matters? Improves API performance Reduces memory usage Enhances UI/UX Supports scalable microservices Clean APIs = Better performance = Happy users Follow Raghvendra Yadav #Java #SpringBoot #BackendDevelopment #Microservices #APIDesign #Pagination #Sorting

 Pagination & Sorting in Backend Development (Java | Spring Boot) 🔹 Pagination is the process of dividing large datasets into smaller chunks (pages) to improve performance and user experience. Instead of loading 10,000 records at once, we fetch them page by page. In Spring Boot (Spring Data JPA), pagination is easily handled using Pageable and Page interfaces. 🔹 Sorting allows data to be ordered based on one or more fields (e.g., by name, date, price — ascending or descending). Spring Data provides built-in support using the Sort class or combining it with Pageable. Why it matters? Improves API performance Reduces memory usage Enhances UI/UX Supports scalable microservices Clean APIs = Better performance = Happy users #Java #SpringBoot #BackendDevelopment #Microservices #APIDesign #Pagination #Sorting

❇️ 𝐒𝐭𝐫𝐢𝐩𝐞 𝐏𝐚𝐲𝐦𝐞𝐧𝐭 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐌𝐢𝐜𝐫𝐨𝐬𝐞𝐫𝐯𝐢𝐜𝐞 – 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐅𝐥𝐨𝐰 (𝐏𝐚𝐫𝐭 𝟐) ⭐ After that with the help of processStripeResponse() which is present in createPaymentHelper class we can following cases of responses like 🔹 Case 1: 𝐒𝐮𝐜𝐜𝐞𝐬𝐬𝐟𝐮𝐥 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐞 𝟐𝐱𝐱. The JSON response is converted into a Java object using the 𝐉𝐚𝐜𝐤𝐬𝐨𝐧 𝐥𝐢𝐛𝐫𝐚𝐫𝐲 and returned back to service layer. 🔹 Case 2:𝐒𝐭𝐫𝐢𝐩𝐞 𝐀𝐏𝐈 𝐄𝐫𝐫𝐨𝐫 If there are any errors from Client side like 401 Unauthorized , 404 not found. Here we will do all the exception handling using @RestControllerAdvice and Custom exceptions by StripeProviderException. 🔹 Case 3: 𝐈𝐧𝐯𝐚𝐥𝐢𝐝 𝐒𝐭𝐫𝐢𝐩𝐞 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐞 If Stripe returns an unexpected or invalid response, a custom exception is thrown to handle the error. ⭐ After handling the 3 cases we will come back to serviceImpl , now we have method called mapToPaymentResponse() which will Convert Stripe Response into internal response format. ⭐ The Stripe response contains many fields, but we extract only the stripeSessionId and hostedPageUrl and return them to the client. ⭐ Finally After validation, exception handling, and response mapping, the response is returned to the controller, controller will return the response to the Client/End user. ⭐ Now with the help of 𝐡𝐨𝐬𝐭𝐞𝐝𝐏𝐚𝐠𝐞𝐔𝐫𝐥 the client/enduser can now redirect to the Stripe hosted payment page. ⭐ This microservice follows a 𝐥𝐚𝐲𝐞𝐫𝐞𝐝 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 including controller, service, helper, and HTTP layers to maintain separation of concerns and clean code structure. Controller - > Service - > Helper - >HTTP Layer This approach ensures 𝐜𝐥𝐞𝐚𝐧 𝐜𝐨𝐝𝐞, 𝐬𝐞𝐩𝐚𝐫𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐜𝐨𝐧𝐜𝐞𝐫𝐧𝐬, 𝐚𝐧𝐝 𝐛𝐞𝐭𝐭𝐞𝐫 𝐦𝐚𝐢𝐧𝐭𝐚𝐢𝐧𝐚𝐛𝐢𝐥𝐢𝐭𝐲. Finally, I would like to thank Tausief Shaikh ☑️ for guiding me throughout this project and for his clear explanations, which helped me understand the architecture and implementation effectively. #Java #Microservices #Stripe #BackEndDeveloment #APIDevelopment #SpringBoot

Microservices aren’t about breaking a monolith into smaller pieces. They’re about designing for scale, resilience, and change. This visual breaks down 12 essential microservices design patterns — each with: ✔️ What it does ✔️ When to use it ✔️ Real-world examples From API Gateway to Observability, these patterns solve real production problems like: • Cascading failures • Distributed transactions • High traffic spikes • Legacy system migration • Monitoring & debugging at scale 📌 If you’re working with: • Spring Boot / Java • Cloud-native systems • Kubernetes & Docker • Large-scale backend systems …these patterns are not optional — they’re mandatory knowledge. 💡 Pro tip: Most system design interviews don’t ask definitions. They ask “WHY did you choose this pattern here?” Save this post 📌 Share with your backend circle 🔁 👇 Comment “MICROSERVICES” and I’ll share: • Interview-focused explanations • Real production use cases • Java/Spring Boot implementations #Microservices #SystemDesign #BackendEngineering #Java #SpringBoot #DistributedSystems #SoftwareArchitecture #TechCareers