Microservices

The days of debating whether to run stateful monolithic Java applications on bare metal or virtual machines are largely behind us. In 2025, Kubernetes (K8s) is the de facto operating system for the cloud, and Java—specifically with the advancements in JDK 21+ and Spring Boot 3—remains the dominant language for enterprise backends.

Implementing Robust Rate Limiting and API Throttling in Go # In the modern landscape of backend development, APIs are the lifeblood of software ecosystems. However, an unprotected API is a ticking time bomb. Whether it’s a malicious DDoS attack, a buggy client script sending infinite retries, or simply an unexpected viral surge, traffic spikes can bring your services to their knees.

Generating PDFs is one of those requirements that inevitably lands on a backend developer’s desk. Whether it’s generating dynamic invoices, downloadable reports, or shipping labels, the ability to convert data into a portable, uneditable document is a staple of enterprise applications.

Let’s face it: synchronous execution is the silent killer of user experience in modern web applications.

In the landscape of 2025, Rust has firmly transitioned from a “system programming darling” to a top-tier choice for backend infrastructure. If you are reading this, you likely know why: predictable performance, memory safety without garbage collection, and a type system that prevents entire classes of bugs before they hit production.

In the world of high-concurrency backend development, few languages shine as brightly as Go (Golang). However, even in 2025, with the ecosystem as mature as it is, a surprising number of mid-level developers still fall into the “Default Client Trap.”

In the landscape of 2025, building microservices in Java has matured from an experimental architectural style to the de facto standard for large-scale enterprise applications. However, the complexity of distributed systems remains the primary challenge. Breaking a monolith into smaller services is the easy part; ensuring those services can find each other, communicate reliably, and withstand partial failures is where the real engineering happens.

Introduction # In the modern landscape of distributed systems, the way your services talk to each other defines your architecture’s throughput and reliability. For years, REST (over HTTP/1.1 with JSON) was the default standard. It’s human-readable, ubiquitous, and easy to debug. However, as we navigate through the high-concurrency demands of 2025, the overhead of text-based protocols has become a tangible bottleneck for internal microservice communication.

The era of the tightly coupled monolith is fading, but the challenge of distributed systems is rising. In 2025, building a backend isn’t just about handling HTTP requests; it’s about choreographing complex data flows asynchronously.

Mastering Event-Driven Architecture with Go and Apache Kafka # In the landscape of modern backend development in 2025, the shift from monolithic, synchronous systems to decoupled, event-driven architectures (EDA) is not just a trend—it’s a necessity for scale. While HTTP REST and gRPC have their place, they introduce tight coupling and latency chains that can cripple high-throughput systems.