Avoid DB Connection Timeouts in API Calls with Proper Configuration

Why You Should Use DTOs Instead of Exposing Entities in APIs 📦 It’s tempting to return database entities directly from your APIs… but in production systems, this can create serious problems. 💥 What goes wrong: • 🚨 Exposes internal data structures • 🚨 Breaks API contracts when DB schema changes • 🚨 Risk of leaking sensitive fields ⸻ 📌 Common mistake: Returning JPA entities directly from controllers in apps built with Spring Boot ⸻ ✅ What production systems do: • Use DTOs (Data Transfer Objects) for API responses • Map only required fields • Keep API contract decoupled from database schema • Version DTOs when APIs evolve ⸻ 💡 Why this matters: In fintech & banking systems: APIs must be stable, secure, and backward-compatible ⸻ Your database model is internal… your API contract is public. ⸻ Design that boundary carefully. ⸻ #java #springboot #backenddeveloper #microservices #api #softwareengineering #cleanarchitecture #systemdesign #distributedsystems #fintech #bankingtech #cloudnative #singaporejobs #techcareers

As a backend developer working with DBs, we use a connection pool while setting up new applications or enhancing DB performance. But a bigger pool size doesn't always equal better performance. Here's the thing: → Oversized pools force the DB to context-switch between threads. → Pushing utilization close to 100% causes wait times to rise exponentially, not linearly. → A good starting formula is: pool size = (core count × 2) + spindle count. → Don't mix long batch jobs and quick transactions in the same pool. One will block the other at the worst time. → Aim for a small pool with a few threads waiting, and keep utilization under ~80% to handle traffic spikes gracefully.

Excited to share that I along with my teammates Rushab Engolla and Ali Shaikh, successfully developed a Full-Stack Online Banking System focused on secure banking operations, clean architecture, and real-world financial transaction management. 💳🏦 This project was built using Java Spring Boot, MySQL, JDBC, and HTML/CSS, following a structured MVC Architecture to ensure scalability, maintainability, and efficient backend processing. 🔹 Key Features of the System: •Secure user authentication and session management •Deposit, withdrawal, and fund transfer functionalities •Real-time transaction history tracking •Admin dashboard and reporting system •Customer account management •Banking operations with structured database integration 🔹 Technical Concepts Implemented: •MVC Architecture •Object-Oriented Programming (OOP) •Inheritance, Polymorphism, Encapsulation, and Abstraction •JDBC-based DAO Layer for database interaction •RESTful backend handling with Spring Boot •MySQL database integration One of the highlights of this project was implementing a well-structured backend using DAO, Service, and Controller layers, which helped us understand enterprise-level application development and software design principles. Through this project, we strengthened our understanding of: •Full Stack Development •Backend Architecture Design •Database Management •Secure Authentication Handling •Transaction Processing Systems •Java Spring Boot Development Grateful to my teammates for their collaboration, dedication and teamwork throughout the development journey. #Java #SpringBoot #FullStackDevelopment #MySQL #JDBC #BankingSystem #SoftwareDevelopment #OOP #BackendDevelopment #WebDevelopment #MVCArchitecture #Technology #StudentProject #Innovation

Database transactions make developers feel safe. Sometimes too safe. 🤔 A lot of engineers think— “I'm using transactions, so my data is consistent.” Not always. A transaction protects what happens inside one database boundary. But real systems are bigger than that. Imagine this: Save order in DB ✅ Call payment service ✅ Send notification ❌ fails Retry request 😅 Now what? 👉 duplicate payment? 👉 duplicate order? 👉 partial success? Your DB transaction didn’t save you. Because the failure happened outside the database. This is where many systems become inconsistent— not because SQL was wrong, but because engineers trusted transactions too much. Harsh truth— Transactions guarantee atomicity inside DB. They do NOT guarantee consistency across services, retries, or external calls. Real production safety needs— 👉 idempotency 👉 outbox/event patterns 👉 retry awareness 👉 compensating actions The moment your workflow touches another service, queue, or API— transaction alone is no longer enough.

🚀 Leveling Up: Transforming a C++ Bank System with Clean Code & Logic I’m thrilled to share the latest evolution of my Bank Management System 💻 What started as a simple data management tool has now grown into a more functional system after a major update where I integrated a full Transactions Module, including: - Deposit - Withdraw - Total Balance Tracking Moving beyond just “making it work,” I focused heavily on applying professional software engineering principles: 🔹 Clean Code I prioritized readability and maintainable naming conventions, ensuring the code is intuitive and easy for any developer to follow. 🔹 Divide and Conquer (Separation of Concerns) I modularized the system into independent functions and sub-menus, which allowed me to add new transaction features seamlessly without affecting the core client management logic. 🔹 Scalability Although the system is currently a console application, the underlying architecture is designed to support future expansion into a larger and more complex system. ⚙️ Key Features: ✅ Full CRUD operations for client data ✅ Real-time balance updates and validation ✅ Secure file-based data persistence ✅ Optimized search and filtering logic This project was a great exercise in handling complex logic while keeping the codebase clean, structured, and maintainable. 🎯 Onward to the next challenge! #CPP #SoftwareEngineering #CleanCode #Programming #Developer #CodingLife #BankSystem #TechInnovation #LearningAndGrowth

Spring Developers Adopt @TransactionalEventListener for Reliable Post-Commit Actions 📌 Spring developers are now embracing @TransactionalEventListener to ensure critical post-commit actions-like emails or cache updates-run reliably only after database transactions succeed. This prevents inconsistent states and enhances data integrity in complex workflows. By decoupling side effects from core logic, teams gain both reliability and performance, especially when paired with async processing for long-running tasks. 🔗 Read more: https://lnkd.in/dUFppiHb #Springframework #Databasetransaction #Postcommitaction

There’s a category of bank architecture that doesn’t appear in most architecture frameworks. Not the managed monolith, where the vendor owns everything explicitly. Not the self-build, where the bank owns everything deliberately. Something in between. Something more uncomfortable. Banks that own their product logic on paper. But can’t move it in practice. They built their core themselves, over decades. The logic is theirs, no vendor holds the roadmap. Leadership looks at the architecture and sees independence. The engineering team looks at the same architecture and sees something else entirely. COBOL. DB2. Mainframe. Hundreds of thousands of lines of tightly coupled code, accumulated across thirty years of product changes, regulatory updates, and tactical fixes. Logic so embedded in the infrastructure that separating one from the other isn’t an engineering problem. It’s an archaeological one. Every meaningful change requires finding someone who understands what was built, why it was built that way, and what will break if you touch it. That pool of people is shrinking every year. I call this the Inherited Core. It’s not a failed architecture. It succeeded for so long that it became load-bearing in ways nobody fully mapped. The institutions carrying it aren’t negligent… they’re the product of decades of rational decisions that made sense at the time. But in 2026, the consequences are no longer theoretical. When AI requires clean data pipelines, modular product logic, and the ability to change rules without a six-month programme, the Inherited Core cannot deliver. Not because the bank lacks ambition. Because the architecture physically cannot move at the speed intelligence requires. The ownership is real. The agility isn’t. If this sounds familiar, I’d genuinely like to hear how your institution is approaching it. #CoreBanking #LegacyCore #BankingModernization #BankingArchitecture

🚀 Excited to share my latest project: A Full-Stack Bank Management System! I recently completed a web-based banking application built with Java (JSP/Servlets) and MySQL. This project was a deep dive into building secure, scalable, and user-centric financial software. Key Technical Highlights: 🏗️ Architecture: Followed the MVC (Model-View-Controller) pattern for clean separation of concerns. 🔐 Security: Implemented JDBC PreparedStatements to ensure protection against SQL Injection. 💾 Database management: Designed a robust schema in MySQL to handle user accounts and transaction history. ⚡ Dynamic UI: Developed a responsive frontend using JSP and CSS for a seamless user experience. Core Features: ✅ Secure User Authentication (Login/Register) ✅ Real-time Balance tracking ✅ Real-time Banking operations (Deposit/Withdraw) ✅ Detailed Transaction History Check out the project here: [] #Java #WebDevelopment #SoftwareEngineering #MySQL #JSP #Coding #FinTech

One of my favorite projects i created while learning SQL— Bank Management System — I created it using Python 🐍 and SQL 💾 This project focuses on managing core banking operations like account creation, transactions, balance updates, and customer records efficiently. The data is dynamically fetched and stored in a structured database named bankdb, ensuring smooth data handling and reliability. 🔹 Key Highlights: • Built using Python for backend logic • Integrated SQL for efficient database management • Real-time data operations (insert, update, fetch) • Clean and structured database design 🚀 Future Enhancements: • Developing an interactive and user-friendly frontend • Implementing advanced security features (encryption & authentication) • Improving performance and scalability This project helped me strengthen my understanding of database integration, backend development, and real-world system design. Looking forward to enhancing it further! #Python #SQL #Projects #BankManagementSystem #DataAnalytics #LearningByDoing