Improving Spring Boot API Performance with Pagination and Filtering

🚀 Started my journey with Spring Boot! Built a small project to understand Spring Boot architecture, created REST APIs. Also learned how to connect a database and perform basic CRUD operations. This gave me a clear foundation of how backend systems work.  I’ve also attached a short notes PDF to help beginners get started with Spring Boot. Github Repo: https://lnkd.in/g6Z4kTKP #SpringBoot #Java #Backend #Learning #CRUD #API

🚀 Second Open Source Contribution – Spring Boot Setup Today I completed my first contribution to an open-source project by setting up a Spring Boot service from scratch. 🔧 What I did: • Created a Spring Boot project (Maven, Java 17) • Added dependencies: Spring Web, Spring Data JPA, PostgreSQL, Flyway, Lombok • Structured the project with proper layers (controller, service, repository, entity, etc.) • Fixed build issues and ensured the project runs successfully • Raised a Pull Request for review 💡 Key Learnings: • Real-world Git workflow (Fork → Clone → Branch → PR) • Debugging build and environment issues • Understanding how production-level backend projects are structured This is just the beginning — next step is contributing to actual business logic and APIs. Open to feedback and suggestions 🙌 #OpenSource #SpringBoot #Java #BackendDevelopment #GitHub #LearningInPublic #SoftwareEngineering https://lnkd.in/gzRif4w4

My DevOps + Backend Journey Today I built a multi-container application using Docker Compose with Spring Boot and MySQL 🔥 🔧 What I implemented: - Developed a Spring Boot REST API - Integrated MySQL database - Containerized both services using Docker - Orchestrated them using Docker Compose - Enabled communication via Docker network 💡 Result: The application successfully stores and retrieves data from MySQL running in a separate container 📌 Key Learnings: - How multiple services communicate in Docker - Importance of service orchestration - Real-world backend architecture setup 🛠️ Tech Stack: Spring Boot | Java | MySQL | Docker | Docker Compose This is a step closer to building production-ready systems 💪 #Docker #DockerCompose #SpringBoot #Java #Backend #DevOps #CloudComputing #LearningInPublic

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

When I started learning Spring Boot, I didn’t know what to learn first… I kept jumping between tutorials and felt lost. So I made this simple roadmap to stay on track. It covers everything from basics to deployment in a structured way. If you're feeling stuck, this might help you too. 👇 🔹 Start with Java basics (OOP, collections, exceptions) 🔹 Understand Spring Boot core concepts (REST APIs, DI, annotations) 🔹 Learn database integration using Spring Data JPA 🔹 Build small projects (CRUD apps, job tracker, auth system) 🔹 Get comfortable with tools like Git, Postman, Docker 🔹 Explore advanced topics (Spring Security, exception handling, logging) 🔹 Deploy your application (AWS / Render / Railway) 🔹 Showcase your work on GitHub & LinkedIn Most people try to “learn everything first” before building. I did the same—and it slowed me down. Real understanding comes when you actually start building with it. Concepts start making sense only when you apply them in real projects #SpringBoot #Java #BackendDevelopment #LearningJourney #SpringBoot #Java #CodingJourney #BackendDevelopment #LearnInPublic

Java just solved its 20-year cold-start problem — and most EKS teams don't know it yet. Spring Boot 4.0 ships with full Project Leyden support, and Java 26's JEP 516 pushes Ahead-of-Time Object Caching further still — your Kubernetes pods now reach a useful state significantly faster, with zero changes to application code, framework config, or deployment tooling. I've watched Spring Boot services sit at 12–15 second startup times on EKS while Go services mocked us. We worked around it — bigger readiness probe delays, over-provisioned pod counts, aggressive pre-warming. All of it unnecessary tax. The key insight is that you build the AOT cache once in your CI pipeline and ship it as part of your container image. Every pod that spins up loads the same cache file — training overhead paid once, every deployment run benefits. That's a Dockerfile layer change, not an architecture rewrite. If you're on Spring Boot 3.3+ and JDK 25 today, you can start experimenting right now with three JVM flags. No GraalVM. No native-image pain. No reflection debugging at 2am. Is your team still paying the cold-start tax — or have you already moved off JVM warm-up workarounds? #SpringBoot #JavaDeveloper #CloudNative #AWSArchitect #MicroservicesArchitecture

Most Java developers are stuck at CRUD level. They can build APIs.But they can’t build systems. Spring Boot + Microservices + Kafka = Real backend engineering CRUD APIs are easy. Building systems is not. Real flow looks like this: 👉 Service A creates data 👉 Kafka streams it 👉 Multiple services react in real-time No tight coupling. No waiting. Just systems that scale. If your backend knowledge = only controllers… You’re not building real applications yet. That’s how real apps scale. If you only know controllers… You’re not a backend developer yet. 🌐 LearnStackHub — 100% free learning for real backend skills Build systems. Not just APIs. #Java #learnstackhub#Kafka #Microservices #BackendDeveloper

🚀 Mastering Spring Boot – From Basics to Advanced 🔥 I recently went through a complete **Spring Boot guide**, and honestly — it covers everything you need to become job-ready in backend development. 💻 Here are some key takeaways 👇 ✅ **What is Spring Boot?** A powerful Java framework that helps you build **production-ready applications with minimal configuration**. ✅ **Why Developers Love It?** • Auto-configuration ⚙️ • Embedded servers (Tomcat, Jetty) 🌐 • Microservices-friendly 🧩 • Reduced boilerplate code ✨ ✅ **Where is it Used?** From **E-commerce & Banking** to **Healthcare & IoT systems** — Spring Boot is everywhere! ✅ **Core Concepts Covered** • Dependency Injection (DI) • Inversion of Control (IoC) • REST API Development • Spring Data JPA & Databases • Security (JWT, Authentication) • Testing (JUnit, Mockito) ✅ **Advanced Topics** • Microservices with Spring Cloud • Kafka & RabbitMQ • Caching (Redis, Caffeine) • Docker & Cloud Deployment ☁️ 💡 One thing I loved: Spring Boot makes complex backend development **simple, scalable, and production-ready**. If you're preparing for **Java backend / full-stack roles**, this is a must-learn skill. 📥 Check out the complete notes here: 👉 Follow Abhay Tripathi for more tech updates, coding materials, and daily programming insights! #SpringBoot #Java #BackendDevelopment #Microservices #Programming #SoftwareDevelopment #Coding #Developers #Tech #LearnToCode

After 10+ years in Java backend development, one thing stands out clearly: building microservices is easy, but building maintainable and scalable microservices is the real challenge. A good backend service is not just about writing APIs in Spring Boot. It is about defining the right boundaries, handling failures properly, designing for observability, managing data carefully, and making systems easier to scale and support over time. Clean code is important, but clean architecture and strong engineering decisions make the biggest difference in enterprise applications. #Java #SpringBoot #Microservices #BackendDevelopment #SoftwareArchitecture #RESTAPI #JavaDeveloper Building Maintainable Java Microservices Spring Boot | REST APIs | Kafka | AWS

Monolith is not a scary monster in a Geek story It's a scary monster in the world of software development When you have a service that does a lot of different things and you can't scale it because it will send duplicate info downstream, what do you do? You got to smash that monolith into microservices One of the projects I’m proud of was helping convert a monolithic service into 7 microservices using Java Spring Boot, Docker, Kubernetes, and AWS SQS The result: 🩷 About 1 million messages processed per month 🩷85% less debugging time 🩷46% better resolution of missing-data escalations. That’s the kind of backend work I care about: 🔙 Not architecture for its own sake 🔙 But architecture that reduces pain #microservices #java #springboot #distributedsystems