𝗖𝗹𝗲𝗮𝗻 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀 & Building an Event-Driven Architecture

 Building an event-driven architecture requires careful planning and solid principles to ensure scalability and reliability 🏗️

Here are the key practices I always follow:

1. Use asynchronous communication patterns
2. Keep events immutable and versioned
3. Design clear event schemas upfront
4. Maintain event order when necessary
5. Implement idempotent consumers

Let me share what I've learned about each:

Events should be treated as facts that happened - never modify them. Version them instead.

Consumer services must handle duplicate events gracefully. I've seen many systems fail because they didn't.

Always document event schemas and maintain a registry. This saves countless hours of debugging later 📝

Async communication between services is non-negotiable. Synchronous dependencies will break your system and make them a distributed monolith!

Sometimes event order matters - use sequence numbers or timestamps when it does.

Extra considerations I follow:
- Set up proper logging
- Monitor dead letter queues
- Implement retry mechanisms
- Use correlation IDs for tracing ⚡

The difference between a robust and fragile event-driven system lies in these implementation details.

Focus on getting these fundamentals right before adding complexity.

by Lucas Massena

https://www.linkedin.com/in/lcmassena/ 

𝗖𝗹𝗲𝗮𝗻 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀

- Project setup - https://lnkd.in/dqZeKdvU
- Minimal APIs - https://lnkd.in/eKsvdyeQ
- Dependency injection - https://lnkd.in/e7KK27d9
- CA + Document database - https://lnkd.in/eEywJHFS
- Project setup from scratch - https://lnkd.in/dvAVHzzg
- 4 Best practices for new project - https://lnkd.in/dPfxPfuY
- Structured logging - https://lnkd.in/dRT4EGvr
- Message queues - https://lnkd.in/dvSsgAyn

𝗗𝗼𝗺𝗮𝗶𝗻-𝗗𝗿𝗶𝘃𝗲𝗻 𝗗𝗲𝘀𝗶𝗴𝗻 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻

- Rich Domain model - https://lnkd.in/drbTK9_W
- Entities - https://lnkd.in/dQzuqzR6
- Value objects - https://lnkd.in/d4iWcybq
- Aggregate root - https://lnkd.in/dxb6dx-y
- Domain validation - https://lnkd.in/dZMjb5_v
- Domain model tradeoffs - https://lnkd.in/d2_9fBSv
- Repository pattern - https://lnkd.in/dq-mst-P
- Specification pattern - https://lnkd.in/enP-8n9i
- Unit of work - https://lnkd.in/e668P6wK
- Smart Enums - https://lnkd.in/efq34FS7
- Snapshot pattern - https://lnkd.in/eubBfFk4
- Strongly typed IDs - https://lnkd.in/dpgZ4gBw
- Anemic Domain model - https://lnkd.in/dmrGQTY9
- DDD modeling - https://lnkd.in/dnvgNgfg
- DDD + EF mapping - https://lnkd.in/dmSXbxqt
- Incomplete aggregates - https://lnkd.in/dBDQhRNQ
- Double dispatch - https://lnkd.in/dK4jQT7g

𝗖𝗤𝗥𝗦

- CQRS Fundamentals - https://lnkd.in/dKYS87-6
- Validation /w Result - https://lnkd.in/dZuc-6MM
- Validation /w Exception - https://lnkd.in/dqh9ZcAD
- Read models - https://lnkd.in/dD5W3FDn
- UoW pipeline - https://lnkd.in/dzwg6Uad
- The "Truth" on CQRS - https://lnkd.in/dbpFQ-2f
- CQRS Query side - https://lnkd.in/dKfXaeNx
- Materialized views - https://lnkd.in/dmfjhMKR

𝗧𝗲𝘀𝘁𝗶𝗻𝗴

- Parameterized tests - https://lnkd.in/d4JKCJ2r
- Unit testing - https://lnkd.in/e8PmvDg2
- Integration testing /w Docker - https://lnkd.in/dTFS5DZS
- Architecture tests - https://lnkd.in/emsJZxsc

𝗗𝗲𝘀𝗶𝗴𝗻 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀

- Idempotent consumer - https://lnkd.in/e_8BSBPc
- Saga pattern - https://lnkd.in/d4zSQAKK
- Compensating transaction (Saga) - https://lnkd.in/d94vN-uj
- Domain events - https://lnkd.in/dMmJay9p
- Domain vs. Integration event - https://lnkd.in/dXVnmzk3
- Options pattern - https://lnkd.in/e24GxENc
- Options pattern validation - https://lnkd.in/drAZ-6Fj
- Decorator pattern - https://lnkd.in/eqvaHdaq

Hope these are helpful.

Have an awesome day!