Performance

How to integrate event-driven microservices with request-response APIs?

There are two types of external events:

• Autonomously Generated Events (analytical events)
• Reactively Generated Events (events from request-reply)

There are two approaches of processing and serving requests using stateful services:

• using internal state stores (with silly or with smart routing)
• using external state stores (with regular or with composite microservice)

Ways of handling requests within an event-driven workflow:

• Handling requests directly
• Turning requests into events (big latency)
• Processing events for user interfaces (a mix of two ways)

Approaches for request-response applications, their pros and cons:

The book club of our company has chosen a new wonderful book for reading:

Robert Martin - Clean Architecture - a Craftsman’s Guide to Software Structure and Design

👍

The part VI undermines some foundations 😀:

• Do you know that Database is a “detail”? An unimportant minor low-level non-essential feature that can be neglected in architecture design!
• Do you know the same about the Web? It is just an unimportant IO device that should also be neglected in architecture design!
• What about Frameworks? The same. Don’t marry your framework. Use safe and better remote sex. 🤣
• There are several examples of how similar architectures may or may not lead to problems. And what to use to avoid problems (spoiler: Encapsulation)
• All of the above, and a brief missing advice…

Great information! All the details are in my mind maps:

Earlier this year the book club of our company has studied excellent book:

Martin Kleppmann - Designing Data-Intensive Applications

This is the best book I have read about building complex scalable software systems. 💪

As usually (to better learn) I prepared an overview and mind-map.

Chapter 1:

• Building blocks of the apps
• What is Reliability, Scalability and Maintainability. Examples and definitions.
  • Faults and Failures
  • Performance, Load, Latency and Response Time
  • Operability, Simplicity, Evolvability
• Why you should randomly kill your servers 😅
• How Twitter delivers 12,000 tweets per second to 300,000 readers per second. (VERY interesting!)
• How much money Amazon loses for each 100ms delay in their response time
• How to quickly calculate percentiles for monitoring response time in PROD

Download full mind map (PDF)