Microservices
Microservices architecture, distributed systems, and service-oriented design patterns for scalable applications
A Guide to Service Discovery in a Microservices Architecture
A guide to service discovery in a microservices architecture, explaining how services dynamically find and communicate with each other using a service registry.
An Introduction to Microservices Architecture
An introduction to the microservices architectural style, explaining its core concepts, benefits, and challenges compared to a traditional monolithic architecture.
Data Management in Microservices: The Database-per-Service Pattern
A guide to the database-per-service pattern, a core principle of microservices architecture for decentralized data management, and how to handle its challenges.
Decomposing a Monolith into Microservices: A Practical Guide
A strategic guide to the process of decomposing a monolithic application into microservices using patterns like the Strangler Fig.
Microservices Communication: Synchronous vs. Asynchronous Patterns
A guide to communication patterns in a microservices architecture, comparing synchronous methods like REST and gRPC with asynchronous methods using message queues.
Microservices Security Best Practices: Complete Guide
Learn essential security practices for microservices architecture including authentication, authorization, API security, network security, and compliance strategies to protect distributed systems.
Testing Microservices: A Guide to Unit, Integration, and Contract Testing
A guide to testing strategies in a microservices architecture, covering unit tests, integration tests, and the crucial role of consumer-driven contract testing.
Frequently Asked Questions
What are the main trade-offs between monolithic and microservices architecture?
Monoliths offer simpler deployments, instant in-memory data consistency, and lower infrastructure overhead. Microservices enable independent scaling and team autonomy, but introduce distributed tracing, network latency, data synchronization, and operational complexity.
How should services communicate in a microservices ecosystem?
Synchronous REST/gRPC should be reserved for direct user-facing queries, while asynchronous event-driven messaging (via Kafka, RabbitMQ, or AWS SQS) should be used for cross-service workflows to decouple dependencies and guarantee eventual consistency.
How do you decompose a legacy monolith into microservices safely?
Decompose using the Strangler Fig pattern: identify bounded domains, route new feature requests through an API Gateway to newly isolated microservices, and gradually migrate legacy database tables without big-bang rewrites.