Microservices with NestJS: a Progressive Node.js Framework
Introduction Microservice architecture has become the standard for applications that must grow quickly and serve large numbers of users. As...
Tag: Distributed Systems
Building Microservices with Python and gRPC
Introduction Microservice architectures demand fast, reliable communication between services. Traditional REST APIs are simple and flexible, but they can become...
Distributed Task Queues with Celery and RabbitMQ
Introduction Building scalable backend systems often requires processing tasks outside the main request-response cycle. Whether you are sending emails, generating...
Migrating from a Monolith to Microservices with Spring Boot
Introduction Many teams start with a monolithic application because it’s simple and fast to build. However, as features grow and...
Understanding the CAP Theorem and Practical Trade‑offs
What Is the CAP Theorem? The CAP theorem is a core concept in distributed systems. It explains that when a...
Circuit Breakers & Resilience Patterns in Microservices
Introduction In a microservices architecture, services depend on each other. If one service fails or slows down, it can quickly...
Designing Event-Driven Microservices with Kafka
Introduction Modern applications demand scalability, resilience, and real-time responsiveness. Event-driven architectures (EDA) have emerged as a key approach to meeting...