Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Event-Driven Architecture in Golang

You're reading from   Event-Driven Architecture in Golang Building complex systems with asynchronicity and eventual consistency

Arrow left icon
Product type Paperback
Published in Nov 2022
Publisher Packt
ISBN-13 9781803238012
Length 384 pages
Edition 1st Edition
Arrow right icon
Author (1):
Arrow left icon
Michael Stack Michael Stack
Author Profile Icon Michael Stack
Michael Stack
Arrow right icon
View More author details
Toc

Table of Contents (18) Chapters Close

Preface 1. Part 1: Event-Driven Fundamentals
2. Chapter 1: Introduction to Event-Driven Architectures FREE CHAPTER 3. Chapter 2: Supporting Patterns in Brief 4. Chapter 3: Design and Planning 5. Part 2: Components of Event-Driven Architecture
6. Chapter 4: Event Foundations 7. Chapter 5: Tracking Changes with Event Sourcing 8. Chapter 6: Asynchronous Connections 9. Chapter 7: Event-Carried State Transfer 10. Chapter 8: Message Workflows 11. Chapter 9: Transactional Messaging 12. Part 3: Production Ready
13. Chapter 10: Testing 14. Chapter 11: Deploying Applications to the Cloud 15. Chapter 12: Monitoring and Observability 16. Index 17. Other Books You May Enjoy

Aggregate event stream lifetimes

In an event-sourced system, there are two kinds of aggregates:

  • Short-lived aggregates, which will not see many events in their short lifetime
  • Long-lived aggregates, which will see many events over their very long lifetime

Examples of a short-lived aggregate would be Order from the Ordering module and Basket from the Shopping Baskets module. Both exist for a short amount of time, and we do not expect them to see many events. Examples of long-lived aggregates are Store from the Store Management module and Customer from the Customers module. These entities will be around for a long time and can end up seeing many events.

The performance of short-lived aggregates, and streams with few events in general, is not going to be a problem. The small number of events can be read and processed quickly. Larger streams would take longer to read and process; the larger it is, the longer it would take.

Taking periodic snapshots of the event...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime