Knowledge Base
A practical reference built on academic research and real-world implementation — from decomposition to data management, APIs, and security.
Introduction
Microservices architecture structures an application as a collection of small, independent services that communicate over well-defined APIs. Unlike monolithic systems, each service is responsible for a single business capability and can be developed, deployed, and scaled independently.
Each service owns its data and database schema, eliminating tight coupling at the data layer.
Services can be released independently, enabling continuous delivery without coordinated rollouts.
A failure in one service does not cascade to the entire system, improving overall resilience.
Scale only the services that are under load, optimizing resource usage and cost.
Reference
Six categories of proven patterns to address the most common challenges in microservices systems.
Strategies to break a monolith or domain into well-bounded, cohesive services.
Patterns to handle queries, transactions, and consistency across distributed services.
Guarantee that messages are sent reliably as part of a database transaction.
Design the edge layer that exposes your microservices to external clients.
Mechanisms for services to find each other dynamically in a distributed environment.
Authenticate and authorize requests across service boundaries safely and efficiently.
Author
This site distills the research from my Master's dissertation on microservices architecture principles and patterns. The dissertation was applied to a real-world e-commerce case study, implementing and evaluating patterns like Saga and CQRS. I hope it serves as a useful reference for developers and architects working with distributed systems.