Building Event-Driven APIs Workshops

on YouTube ↗44m

" summary

Shows how a Customer 360 materialized view is built and updated in real time using kafka and ksqlDB, sourcing changes via Debezium CDC connectors from SQL Server and Oracle. The pipeline captures inserts/updates/deletes into topics, runs stream joins and aggregations to compute balances, and exposes results over HTTP/2 as pull queries or long-lived push queries. A live demo modifies a customer profile and posts a transaction, and those changes appear immediately in the materialized view and streaming API responses.

AI-written summary · about

" chapters (9)

1. 0:00Start
2. 2:15How Apis Are Exposed
3. 5:15Http Pipelining
4. 6:46Customer 360
5. 10:37Schema Registry
6. 16:35Sourcing the Data
7. 25:54Customer 360 View
8. 29:23Pull Query
9. 30:03Push Query

" related talks

• 27mOptimize Your API with Event-Driven Microservice Architecture.Jeffrey Lam · apidays Hong Kong 2022
• 45mStream Processing with KSQLDB and REST API QueriesSanvy Sabapathee · apidays Hong Kong 2022
• 41mChange Data Streaming Patterns in Distributed SystemsGunnar Morling, Hans-Peter Grahsl · Flink Forward Global 2021
• 42mData Streaming for Microservices using DebeziumGunnar Morling · Voxxed Days Microservices 2018
• 37mBuilding Event-driven Apps at ScaleTom Fairbairn · GOTO EDA Day 2022
• 31mKafka and Debezium at trivagoRené Kerner, Mario Müller · code.talks 2017
• 49mTransforming Analytical Data with Event-Driven ArchitectureJosef Goldstein · GeeCON 2024
• 01h 08mEvent Driven Architecture – Enabling MicroservicesBrad Irby · Silicon Valley Code Camp 2018