
Postgres FM
Benchmarking
Feb 10, 2023
Guests Alexander Korotkov, Andres Freund, and Nikolay discuss the importance of benchmarking in databases. They cover topics like conducting experiments, system limits, query optimization, and realistic workloads. They also mention specific tools like PG bench and JMeter, as well as case studies and references to books on system performance.
36:46
Episode guests
AI Summary
AI Chapters
Episode notes
Podcast summary created with Snipd AI
Quick takeaways
- Benchmarking is a crucial tool to explore system limits, make data-driven decisions, and compare different situations.
- Crafting a workload using synthetic and real-world approaches helps bridge the gap between purely synthetic workloads and production workloads.
Deep dives
The Importance of Benchmarking
Benchmarking is a crucial tool in the database engineering field, allowing professionals to explore the limits of their systems, make data-driven decisions, and compare different situations. It serves as a stress test to push systems to their limits and identify areas for improvement. Additionally, benchmarking helps in regression testing, ensuring that system performance remains consistent or improves over time. Moreover, it aids in making critical decisions during urgent situations, such as choosing between different platform options. While benchmarking can also be used for marketing purposes, other goals like stress testing, decision-making, and regression testing are regarded as more important.
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.