event-logs

What problem does it solve?

This Skill helps in setting up, configuring, and troubleshooting durable, exactly-once event streaming solutions using Kafka or Pulsar, addressing challenges like event loss, consumer lag, and data replay.

Core Features & Use Cases

• Event-Driven Architecture: Facilitates the creation of systems that react to events instead of being programmed to execute actions at specific times or in response to specific triggers.
• Exactly-Once Processing: Ensures that every event is processed once and only once, even in the presence of failures, which is crucial for payment processing and data integrity.
• Use Case: Design a system for financial transactions that must guarantee no duplicate charges or lost payments, utilizing Kafka's idempotence and transactions features.

Quick Start

Create a Kafka topic 'user-activity' with at least three partitions, and configure producers and consumers for exactly-once semantics by setting 'acks=all' and enabling idempotence.