Gerard Klijs

From event streaming to event sourcing 101

Stop inferring state changes between microservices. Learn to capture the 'why' behind every event by moving from event streaming to event sourcing.

From event streaming to event sourcing 101
#1about 5 minutes

Understanding event streaming versus event sourcing

Event sourcing treats every state change as an immutable event, providing a full history, unlike traditional database-centric approaches.

#2about 4 minutes

Using change data capture for real-time alerts

A practical example shows how to stream database changes from a mainframe into Kafka to power a real-time customer alerting system.

#3about 4 minutes

Decoupling microservices with event streams

Kafka is used to break apart a monolith, enabling independent services for profiling and notifications, but highlights the challenge of understanding state changes from generic document updates.

#4about 2 minutes

Building a one-way data pipeline for analytics

An architecture for a data-sharing platform uses a one-way event stream to populate MongoDB and Elasticsearch, allowing indexes to be rebuilt from a single source of truth.

#5about 5 minutes

Implementing a CQRS banking demo with Kafka

A demo project illustrates a CQRS pattern using Kafka as an event store, revealing challenges with error handling, schema management, and event replayability.

#6about 5 minutes

Adopting the Axon framework for true event sourcing

The Axon framework provides a dedicated event store and battle-tested patterns that solve common event sourcing problems like error handling, command routing, and event replay.

#7about 1 minute

Key takeaways on adopting event sourcing

The primary advantage of adopting a full event sourcing model is the ability to trace every system change back to a specific command and its resulting events.

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Matching moments

Managing input co-effects with Kafka and event sourcing
24:50 MIN

Managing input co-effects with Kafka and event sourcing

Java with a Clojure mindset

How to introduce new patterns like event sourcing
44:31 MIN

How to introduce new patterns like event sourcing

Seven Myths, Three Reasons, One Goal

The system design of the event-driven architecture
09:24 MIN

The system design of the event-driven architecture

Event-Driven Architecture: Breaking Conversational Barriers with Distributed AI Agents

Rebuilding system state with event sourcing
18:08 MIN

Rebuilding system state with event sourcing

Autonomous microservices with event-driven architecture

Why event sourcing is better than traditional CRUD
02:15 MIN

Why event sourcing is better than traditional CRUD

Implementing an Event Sourcing strategy on Azure

Understanding the core event sourcing pattern
01:42 MIN

Understanding the core event sourcing pattern

Implementing an Event Sourcing strategy on Azure

A traditional approach to streaming with Kafka and Debezium
05:20 MIN

A traditional approach to streaming with Kafka and Debezium

Python-Based Data Streaming Pipelines Within Minutes

Architecting an end-to-end event-driven workflow on Azure
13:40 MIN

Architecting an end-to-end event-driven workflow on Azure

Implementing an Event Sourcing strategy on Azure

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Jobs that call for the skills explored in this talk.

Angular Developer

Angular Developer

Picnic Technologies B.V.
Amsterdam, Netherlands

Intermediate
Senior
RxJS
Angular
TypeScript