How to Build Event-Driven Microservices with Apache Kafka
Scalable message streaming and event sourcing architectures
Feb 13, 20269 min read
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#event-driven
Articles tagged with #event-driven
Change Data Capture: Event-Driven Integration
Why Traditional Integration Approaches Fail at Scale Polling databases for changes seems straightforward: query a last_modified timestamp column every few seconds and process new rows. This approach collapses under modern requirements for three criti...
Feb 12, 202610 min readCloud Functions: Event-Driven Serverless
Cloud Functions Triggers: Event-Driven Serverless Guide Modern applications generate millions of events per hour—database changes, file uploads, API requests, message queue deliveries, and scheduled tasks. When these events aren't processed efficient...
Feb 12, 202612 min readObserver Pattern: Event-Driven Programming
Why Traditional Observer Implementations Fail at Scale Classic observer pattern implementations from textbooks assume synchronous, in-process communication with predictable execution times. This worked when applications were monolithic and event volu...
Feb 12, 202610 min readEvent Sourcing: Implementation Guide
Why Traditional State-Based Systems Fail Modern Requirements State-based databases store only the current state of entities. When a user updates their profile, the old data vanishes. This approach worked when systems were monolithic and compliance re...
Feb 12, 20269 min readTransactional Outbox: Event Publishing
Why Traditional Event Publishing Fails at Scale The naive approach to event publishing looks deceptively simple: execute a database transaction, then publish an event to your message broker. This dual write creates a fundamental race condition with f...
Feb 12, 202611 min read