Designing for Failure in Microservices with PulseNotify

Devlog #13 - PulseNotify Continuing with the microservice: user-service - UserAccountRepository and UserPreferenceRepository created - DTOs as Java Records: CreateUserRequest and UserResponse - Fixed a timezone issue in the Flyway migration and the UserService entity to avoid future bugs Repo: https://lnkd.in/d4rtYMAa #Java #SpringBoot #Microservices #BuildingInPublic #TechJobs

One of the most valuable Java patterns in production: Immutable DTOs with Records + Builder: In real-world Java applications (Spring Boot APIs, microservices, event systems), we create hundreds of DTOs. The best modern pattern in 2026: Records (immutable by default) + Builder pattern for flexible construction.Benefits:Immutable → thread-safe and predictable No boilerplate getters/setters Builder gives nice fluent API for optional fields Excellent integration with Jackson, validation, and MapStruct Realistic production example below #Java #SpringBoot

⚙️ Designing Modern Systems with Java + Microservices + Kafka Strong code is not enough — 👉 system design determines whether it scales or fails In this quick carousel, I’ve shared practical design principles I use in real-world systems: ✔ Event-first design ✔ Clear service ownership ✔ Kafka for decoupling ✔ Failure & replay strategy ✔ Sync vs async balance ✔ Observability by design 📌 Save this if you’re building distributed systems 💬 Comment if you want a Kafka architecture diagram or real production case study

🚀 Developed a basic REST API using Spring Boot to handle HTTP requests and responses. 🔹 What I implemented: Created a REST Controller using @RestController Used @RequestMapping to define base URL (/api) Built a GET API using @GetMapping("/student") 🔹 API Endpoint: http://localhost:8080/api/student 🔹 Output: "Student data" 🔹 Key Learnings: How Spring Boot handles HTTP requests Understanding request → controller → response flow Basics of REST API development Excited to move next into POST APIs and sending real data using @RequestBody 🔥 #SpringBoot #Java #BackendDevelopment #LearningJourney #CSE 

I’ve been exploring some of the features introduced in Java 25 recently, and it’s interesting to see how the language continues to evolve toward better performance and developer productivity. What stands out to me: - Continued focus on JVM performance and scalability - Improvements that simplify complex code patterns - Enhancements that align well with modern microservices architectures In real-world systems, especially when working with distributed services and high-throughput applications, even small improvements at the language/runtime level can have a noticeable impact. Curious to hear — are you already using Java 25 in production, or still evaluating? #Java #Java25 #Microservices #BackendDevelopment #SoftwareEngineering

I’ve been exploring some of the features introduced in Java 25 recently, and it’s interesting to see how the language continues to evolve toward better performance and developer productivity. What stands out to me: - Continued focus on JVM performance and scalability - Improvements that simplify complex code patterns - Enhancements that align well with modern microservices architectures In real-world systems, especially when working with distributed services and high-throughput applications, even small improvements at the language/runtime level can have a noticeable impact. Curious to hear — are you already using Java 25 in production, or still evaluating? #Java #Java25 #Microservices #BackendDevelopment #SoftwareEngineering

I just successfully migrated my Java banking API from an in-memory DB to a containerized PostgreSQL setup using Docker. 🐳+🐘+☕ Setting up a reliable, persistent database environment is a crucial step toward building production-ready applications. It’s been a great deep dive into Docker networking and volume management. What’s your favorite database to pair with Spring Boot? #Coding #Java #Docker #Postgres #WebDev

Most memory issues in Kafka-heavy systems immediately get blamed on Kafka. I recently investigated a JVM memory exhaustion issue in a high-throughput Java service where heap usage kept rising, GC recovery became ineffective, and the process eventually crashed. The interesting part: Kafka was not actually the root cause. The actual issue turned out to be retained-memory growth caused by an unbounded asynchronous logging backlog. In this piece, I break down the investigation path, retained heap patterns, dominator analysis, and why backpressure mattered more than heap size. Check out my latest tech blog on Substack. https://lnkd.in/gsTF6TRv Would love to hear how others approach retained-memory investigations in JVM-based systems. #Java #Kafka #JVM #PerformanceEngineering #DistributedSystems #MemoryManagement #BackendEngineering

Java keeps evolving fast, and one update that genuinely caught my attention is how recent #JDK releases are pushing beyond syntax into real-world performance. With #Java26 introducing HTTP/3 support, GC throughput improvements, and better Ahead-of-Time caching, it feels like the focus is shifting even more toward #enterprise scalability, startup efficiency, and modern distributed systems. For developers building microservices or large-scale #backend systems, staying current isn’t just about language updates anymore it’s about understanding how platform-level improvements can directly impact production performance. Always interesting to see Java continue adapting for the next generation of systems. #Java #Java26 #SoftwareEngineering #Microservices #EnterpriseApplications

To become a top-tier Backend Developer in 2026, you need more than just syntax. You need a stack that scales. ✅ Foundations: Core Java & DSA ✅ Frameworks: Spring Boot & Spring Data JPA ✅ Infrastructure: Docker, CI/CD, and AWS ✅ Architecture: Microservices & API Gateways This roadmap covers exactly what you need to go from a beginner to a high-performance engineer. Save this for your next study session! 📌 #Programming #Java21 #WebDevelopment #CareerAdvice #TechCommunity