TL;DR

Ensuring message ordering and delivery guarantees in large-scale streaming systems is a complex task. Penghui Li presented Streaming Proof, a robust testing framework that automates correctness verification for streaming platforms like Apache Kafka and Apache Pulsar. This solution enables continuous testing and monitoring, providing reliable message delivery guarantees with minimal operational overhead.

Opening

In a world where data flows continuously at an unprecedented scale, ensuring the reliability and correctness of streaming systems is non-negotiable. Picture a scenario where hundreds of producers and consumers interact across dozens of partitions, each message needing impeccable order and delivery accuracy. This is the reality faced by modern enterprises, and the need for efficient verification frameworks like Streaming Proof becomes glaringly apparent.

What You'll Learn (Key Takeaways)

• Streaming Proof Architecture – Gain insights into how Streaming Proof's zone-aware deployment and flexible test management ensure robust verification in distributed streaming environments.
• Continuous Testing with Ursa – Discover how Ursa integrates Streaming Proof to monitor message ordering, duplication, and delivery guarantees, seamlessly maintaining system integrity.
• Configuration Deep Dive – Learn about proof configurations, including partitions, producers, and message rates, and how to interpret verification results for actionable insights.
• Building Resilient Pipelines – Leverage practical strategies for constructing resilient, verifiable streaming data pipelines, minimizing operational challenges.

Q&A Highlights

Q: How does Streaming Proof compare with Jepsen?
A: Streaming Proof is specifically designed for streaming systems, offering easy integration with CI/CD pipelines for continuous verification and detailed troubleshooting capabilities that provide clear evidence of issues.

Q: Does Streaming Proof verify transactions and topic compaction?
A: Transaction verification is on the roadmap, while topic compaction support is seen as straightforward to implement, enhancing its utility further.

Q: Is Streaming Proof open-sourced?
A: Not yet, but efforts are underway to remove internal dependencies to make it a community-contributable tool.

Q: Does Streaming Proof verify key-based ordering in Pulsar?
A: Yes, the framework supports key-based ordering verification, allowing users to define and verify the ordering and data consistency across multiple clusters.