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deepmind.google·6d ago
AI Engineering
Lobsters·Jun 11·5 min read
Why isn't Quarkus 2x faster than Spring on my machine?
TL;DR
A community member observed that Quarkus, which is reported to be 2.08 times faster than Spring in benchmarks, did not perform as expected on their local machine. They investigated the performance gap using the mpstat tool, which monitors CPU usage.
✦ Why It Matters
Engineers should account for local environment factors when evaluating framework performance to ensure realistic expectations.
Key Takeaways
- Use mpstat to monitor CPU usage during benchmarks.
- Test applications in environments similar to production.
- Consider local resource allocation when evaluating performance.
- Understand that benchmarks may not reflect real-world performance.
Full Summary
Quarkus and Spring are frameworks used for building Java applications, and a community benchmark indicated that Quarkus could achieve over double the throughput of Spring. A user ran a REST/CRUD application backed by PostgreSQL on their Fedora workstation to test this claim.
They utilized the mpstat tool to analyze CPU usage during the benchmark. Despite the benchmark results, the user's local tests showed a much smaller performance gap.
The investigation highlighted that local environment factors, such as CPU allocation and resource contention, can greatly influence application performance. The findings suggest that performance benchmarks should consider real-world conditions to provide more accurate expectations.
This is crucial for engineers when selecting frameworks for production environments.