Backend Development

Backend Architecture: Microservices Versus Monoliths Choosing how to structure a backend is a major decision. Microservices split a system into small, independent services; a monolith keeps everything in one codebase. Each approach has a different rhythm for teams, deployments, and growth. This guide explains the basics and helps you choose wisely. For teams that value clear boundaries and independent releases, microservices offer flexibility. Each service can be written in its own language, scaled on its own, and updated without touching the rest. But the extra moving parts raise complexity. You need good API contracts, reliable observability, and automation to keep services healthy. ...

Backend Technologies: Node, Python, Java, and Go Developers today choose between several main backend languages. Node.js, Python, Java, and Go each offer different strengths. Knowing how they run helps teams pick the right tool for a project and for the team’s skills. Node.js uses JavaScript and a non-blocking event loop. This model handles many connections at once and is often fast for APIs that do a lot of input/output. Python is loved for its clear syntax and a large set of libraries. It shines in quick development, data processing, and web apps. Java runs on the JVM, bringing strong performance, memory control, and long-term support. Go is a simple language with built-in concurrency and fast builds, which helps services stay small and easy to deploy. ...

Building Scalable APIs: Design, Security and Performance Building scalable APIs means more than just adding servers. It starts with a clear contract and ends with fast, safe responses for users worldwide. In practice, you balance design, security and performance across every endpoint. Design for scale Keep services stateless so any worker can handle a request. Make operations idempotent and safe to retry. Version your API and documentation, so clients can migrate calmly. Use paginated results and sensible filters to avoid large responses. Choose data formats that fit the need, such as JSON for readability or compact protobuf where speed matters. Use asynchronous tasks for long work and keep the user experience responsive. Security matters from the start ...