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
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Things nobody tells you about Java Spring Boot - Until you’re in production After working on enterprise-scale applications handling 75,000+ daily transactions for a Fortune 5 client, here are my biggest takeaways: ✅ Design for failure — Always implement circuit breakers (Resilience4j). Production will surprise you. ✅ Kafka is a game changer — Async event-driven architecture saved us during peak load spikes. ✅ Database tuning matters more than code — SQL query optimization saves more performance than any code refactor. ✅ Don’t ignore logging — Structured logs with correlation IDs across microservices saved hours of debugging. ✅ Test early, test often — JUnit, Mockito and BDD approach caught bugs before they reached production. ✅ API contracts — Poor REST API design causes more problems than bad code. #Java #SpringBoot #Microservices #BackendDevelopment #SoftwareEngineering #TechCommunity #JavaDeveloper
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Built something cool this week! 🚀 Just built and deployed a URL Shortener from scratch using Spring Boot! Here's what I implemented: 1. Base62 encoding for short code generation 2. Click count tracking 3. URL expiry date support 4. Global exception handling 5. Deployed on Render with PostgreSQL The core challenge was short code generation — designed a collision-free encoding strategy to generate clean, unique short codes every time Tech Stack: Java 21 | Spring Boot 3 | PostgreSQL | Docker | Render Live API: https://lnkd.in/d_v5uPYR #Java #SpringBoot #Backend #SystemDesign #PostgreSQL #Docker
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🚀 Tired of mocking everything in your integration tests? Meet TestContainers! As a developer, we all know the struggle of writing integration tests that actually reflect real-world behavior. Mocking databases and services can only get you so far. That's where TestContainers comes in! 🎯 🤔 What is TestContainers? TestContainers is a Java library that allows you to run real instances of databases, message brokers, and other services in Docker containers during your integration tests. No more mocking, no more "works on my machine" issues! 🐳 💡 Why TestContainers? ✅ Run real databases (PostgreSQL, MySQL, MongoDB) in tests ✅ Test against real message brokers (Kafka, RabbitMQ) ✅ No manual setup required, containers start & stop automatically ✅ Consistent test environment across all machines ✅ Works perfectly with JUnit 5, Spring Boot & Java Have you used TestContainers in your project? What was your experience? Let me know in the comments! 👇 #Java #SpringBoot #TestContainers #IntegrationTesting #SoftwareTesting #Docker #SoftwareEngineering #BackendDevelopment #CleanCode #DevOps
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Day 27/45 – Java Backend Journey 🚀 Continuing my journey with Spring Boot, today I worked on one of the most critical aspects of backend systems — Authentication & Security. ✅ What I learned today: • Basics of Spring Security • Implementing JWT (JSON Web Token) authentication • Securing APIs with token-based authentication • Understanding authentication flow (login → token → secured APIs) Why this matters: Authentication ensures that only authorized users can access the system, which is essential for any real-world application. 🚀 Growth Insight: Now moving towards building secure and production-ready backend systems. Tech Stack I'm learning: Java | Spring Boot | MySQL | Redis | Kafka | Docker | Microservices | REST APIs | System Design | Git | Linux | AWS Learning, building, and securing applications step by step. #Java #SpringBoot #BackendDevelopment #SoftwareEngineer #JWT #SpringSecurity #LearningInPublic #GitHubJourney
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🚀 Java 26 is here — and it's building the future of the JVM JDK 26 reached General Availability on March 17, 2026, OpenJDK and while it's a non-LTS release, it packs meaningful improvements worth paying attention to. Here's what stands out: Performance & Startup Faster JVM startup, more efficient garbage collection, expanded C2 JIT compilation, and smarter heap management Oracle are among the highlights. The ahead-of-time cache can now be used with any garbage collector, including the low-latency ZGC Oracle — a major win for latency-sensitive workloads. Security Organizations can now streamline secure encryption with industry-standard hybrid public key encryption (HPKE), future-proof their supply chains with post-quantum ready JAR signing, and benefit from improved support for global standards with Unicode 17.0 and CLDR v48. HTTP/3 Support The HTTP Client API now includes HTTP/3 support — enabling faster, more resilient connections for modern cloud-native applications. Structured Concurrency (6th Preview) The API continues to mature, making concurrent programming safer and easier to reason about — especially relevant for microservices and async pipelines. Making final actually mean final New warnings are being issued for uses of deep reflection to mutate final fields, preparing the ecosystem for a future release that will restrict this by default — making Java programs safer and potentially faster. Goodbye, Applets The Applet API, deprecated since JDK 17, has been fully removed. If yo Oracle our codebase still references it, now is the time to clean house. Should you upgrade? If you're on a recent non-LTS version, yes — the performance and security improvements alone justify it. If you're on Java 21 LTS, keep an eye on Java 27 (expected September 2026) which will likely finalize several of these previews. Java keeps evolving at a healthy pace. Are you keeping up? #Java #JDK26 #SoftwareEngineering #DevOps #CloudInfrastructure #BackendDevelopment
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Quick update on my backend journey 👩💻 I’ve been revisiting one of my previous Java projects (originally built using core Java + command line) and evolving it into a full backend API using Spring Boot. This time, the focus is on reinforcing core backend concepts and applying them in a more production-oriented way: Moving from a console-based “menu” approach → to REST API endpoints Structuring the application using Controller → Service → Repository Working with a database layer (currently H2) while preparing to transition to PostgreSQL using Docker It’s been a great way to reconnect with the fundamentals while approaching them with a clearer understanding of how things fit together in real-world backend systems. #BackendDeveloper #JavaDeveloper #SpringBoot #APIDevelopment #SoftwareEngineering #CareerGrowth #LearningInPublic #PostgreSQL #Docker #WomenInTech
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If you haven’t heard about this, it aligns strongly with the long‑standing approach Azul has taken with Zulu Builds of OpenJDK. Worth a read for anyone building or maintaining Java‑based enterprise applications. Check it out here. #JavaDevelopers #Java #UIDevelopment #OpenJFX
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Execution OS Backend — Live API Live deployment of my backend system built using Java, Spring Boot, and PostgreSQL. Key features: • REST APIs for task management and execution workflows • JWT authentication with Spring Security • PostgreSQL database design with JPA/Hibernate • Dockerized deployment on Render • Swagger API documentation 🔗 Live API: https://lnkd.in/gF96_m5a Tech stack: Java | Spring Boot | Spring Security | PostgreSQL | Docker | CI/CD
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🚀Java 26 Released: Massive Impact. Have You Started Using It? 🤔 The latest release of Java focuses on what truly matters in production - performance, reliability, and scalability. 👇 🌐 HTTP/3 SUPPORT Use modern transport for faster service-to-service calls in microservices. e.g., HttpClient.newHttpClient().send(request, BodyHandlers.ofString()); BENEFIT 👉 Lower Latency APIs 🔒 STRONGER IMMUTABILITY Prevents unsafe modification of final fields, so avoids hidden bugs in large systems. e.g., final User user = new User("prod-safe"); // cannot be altered via reflection easily BENEFIT 👉 Safer Data Models ⚡ G1 GC OPTIMIZATION Improved garbage collection reduces pause times under high load. e.g., java -XX:+UseG1GC -Xms2g -Xmx2g App BENEFIT 👉 Better Throughput 🚀 AOT CACHING Preloads objects to reduce startup time & ideal for Kubernetes, autoscaling. e.g., java -XX:+UseAOTCache App BENEFIT 👉 Faster Startup in Containers 💬What do you think about Java 26 features? #Java26 #Java #JVM #BackendDevelopment #Performance #Microservices
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Spring Boot isn't "Magic". It's just brilliant engineering that saves you 100 hours of boilerplate code. ⏱️ Before Spring Boot, setting up a Java backend meant dealing with endless XML configurations. Today, it’s the industry standard for microservices. Here is what makes it powerful: 🔹 **Auto-Configuration:** It intelligently guesses what you need. Added a MySQL dependency? Spring Boot automatically sets up the database connection pool. 🔹 **Inversion of Control (IoC) & Dependency Injection:** You don't create objects (new Keyword()); the Spring Container creates and manages them for you. This makes your code loosely coupled and highly testable. 🔹 **Embedded Servers:** Tomcat is built-in. You don't deploy your app to a server; your app *contains* the server. If you are serious about enterprise backend, mastering the Spring ecosystem is non-negotiable. #SpringBoot #JavaDeveloper #Microservices #BackendArchitecture #Coding
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