Building time machine with .net core

Nov 2, 20191 like341 views

This document summarizes a presentation about building a time machine using .NET Core and event sourcing. The presentation covers getting started with event sourcing, the history and concepts of event sourcing like commands, events, aggregates and projections. It also demonstrates a banking example and addresses challenges like replaying large numbers of events through rolling snapshots and fixing past issues by adding new events. The presentation aims to explain how to use event sourcing to build scalable and asynchronous applications that can rebuild state from immutable event records.

Software

Buildıng a tıme machine with
.NET Core
Alper Hankendi
@alper_hankendi
github.com/alperhankendi

Agenda
➔ Getting Started Event
Sourcing
➔ History of Event
Sourcing
➔ Building Aggregates
➔ Projections
➔ Rolling Snapshot
➔ Demo yey!

Join at
slido.com
#U520
Audience Q&A Session

COMMANDS vs events
Command
“Create Account”
—> A request (imperative sentence)
—> May fail
—> May affect multiple Aggregates
Rebuild Aggregate State
From Commands

COMMANDS vs events
Event
“Account Created”
—> Statement of fact (past tense)
—> Never fails
—> May affect a signle Aggregates
—> Events are immutable
Rebuild Aggregate State
From Events

How do I replay tons of events ?
The problem is that there may be a large number of events
between the beginning of time and the current point. You can
imagine that an event stream with a million or more events would
be inefficient to load.

The answer is “rollıng snapshot”
Snapshot is a projection of the current state of an aggregate at a
given point. It presents the state when all events to that point
have been replayed.

UPS! The bank says “Where ıs my commısıon ffs”?
You can’t delete events...

How we gonna fıx ıt?
WithdrewFix
you can fıx the past wıth adding a new event

FIN
@alper_hankendi
github.com/alperhankendi

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Building time machine with .net core

1. Buildıng a tıme machine with .NET Core Alper Hankendi @alper_hankendi github.com/alperhankendi

2. Agenda ➔ Getting Started Event Sourcing ➔ History of Event Sourcing ➔ Building Aggregates ➔ Projections ➔ Rolling Snapshot ➔ Demo yey!

3. Join at slido.com #U520 Audience Q&A Session

4. Once upon a time...

5. Scalıng up...

6. Let’s go asynchronous

7. COMMAND SOURCING

8. COMMANDs >>> Event sourcing

9. COMMANDS vs events Command “Create Account” —> A request (imperative sentence) —> May fail —> May affect multiple Aggregates Rebuild Aggregate State From Commands

10. COMMANDS vs events Event “Account Created” —> Statement of fact (past tense) —> Never fails —> May affect a signle Aggregates —> Events are immutable Rebuild Aggregate State From Events

11. What about reads?

14. CQRS and Event sourcıng

15. A couple of concepts from ddd

16. Interactıon wıth aggregates

17. Projections

18. Demo tıme!

19. Demo tıme! Commands Events Projections

20. How do I replay tons of events ? The problem is that there may be a large number of events between the beginning of time and the current point. You can imagine that an event stream with a million or more events would be inefficient to load.

21. The answer is “rollıng snapshot” Snapshot is a projection of the current state of an aggregate at a given point. It presents the state when all events to that point have been replayed.

22. UPS! The bank says “Where ıs my commısıon ffs”? You can’t delete events...

23. How we gonna fıx ıt? WithdrewFix you can fıx the past wıth adding a new event

24. FIN @alper_hankendi github.com/alperhankendi

Building time machine with .net core

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