System Design Codex's resource offers insights, tutorials, and resources for software architects and system designers. Readers can learn about system architecture patterns, scalability principles, and distributed computing concepts. With articles, case studies, and design principles, System Design Codex provides  guidance and expertise for designing robust and scalable software systems.

System Design Codex

Four essential microservices patterns are explored: Database Per Service (each service manages its own data with well-defined APIs), Shared Database (multiple services access a common database, useful for migrations but with coordination overhead), API Composition (aggregating data from multiple services through in-memory joins), and CQRS with Event Sourcing (separating read and write operations while storing state as event sequences). Each pattern presents distinct trade-offs between isolation, performance, and implementation complexity.

Top Microservices Patterns

Using the “Database Per Service” pattern enables lously coupled services. Great for agility! However, there are data consistency challenges that you need to keep in mind. For example, distributed transactions.

This is a solid overview of the trade-offs between strict data isolation and the convenience of shared state. Realistically, most teams aim for “Database Per Service” but eventually just stick a shared Redis cache in front of everything to survive Black Friday.

This list is useful, but for all the readers: remember guys: it always depends on what you’re building