Making WAF ML models go brrr: saving decades of processing time
The post details performance optimizations for WAF ML, including code examples, benchmarks, and significant latency reductions after implementation.
MAIN POINTS
- Explanation of performance optimizations for WAF ML product.
- Presentation of specific code examples and benchmark numbers.
- Reporting of impressive latency reduction numbers post-rollout.
TAKEAWAYS
- Performance optimizations can significantly reduce latency in machine learning products.
- Benchmarking is crucial to measure the impact of code changes.
- Sharing detailed examples helps in understanding and replicating optimizations.