Integration Patterns for Microservices

on YouTube ↗59m

" summary

Compares concrete integration choices for microservices and when they fail: using a single shared database causes coupling across many small services, while event sourcing (example: a gaming leaderboard) stores event sequences to recompute scores reliably. Describes an OCR pipeline that scales workers via a messaging broker with publish–subscribe, and shows UI side-by-side composition combined with an API gateway for authentication and feature isolation, including architecture tradeoffs, implementation patterns, and real production examples.

AI-written summary · about

" chapters (10)

1. 0:00Introduction and background
2. 4:40Integration challenges in microservices
3. 12:24Context mapping and boundaries
4. 20:28Event-driven architecture basics
5. 27:49Event sourcing and state management
6. 34:12Deployment and scaling strategies
7. 40:32Client-server interaction patterns
8. 46:30Breaking monoliths into microservices
9. 50:14Performance and caching techniques
10. 55:07Security and authentication patterns

" related talks

• 27mApplication Integration Patterns for MicroservicesAnshul Sharma · AWS Summit Online 2020
• 46mIntegration patterns & trade-offs for loosely coupled systemsGregor Hohpe, Dirk Fröhner · AWS Summit Berlin 2024
• 24mPatterns of Evolution from Monolith to MicroservicesKarina Mora · HashiTalks 2022
• 46mGranularity & Communication for Microservices ArchitecturesNeal Ford · Craft Conference 2022
• 30mApplication integration patterns for microservicesJulian Wood · AWS AMER Summit May 2021
• 54m3 Patterns for Scalable MicroservicesThorben Janssen · JCON-ONLINE 2021
• 58mImplementing Event-driven MicroservicesNikhil Barthwal · DevOpsCon Spring 2019
• 43mMicroMonolith - Top anti-patterns of distributed systemsMichal Franc · NDC Oslo 2016