Performance Improvements in ScyllaDB 2.3
Blog post from ScyllaDB
ScyllaDB 2.3 introduces significant performance improvements over its predecessor, ScyllaDB 2.2, by focusing on three main areas: enhanced CPU scheduling, reduction of latency-inducing events, and a newly designed I/O Scheduler aimed at delivering lower latencies during peak throughput. The update demonstrates improved tail latencies for CPU-intensive workloads, with read latency improvements of up to 25% in higher percentiles, and write latency enhancements of up to 11% in similar scenarios. Additionally, the update offers substantial gains in I/O-bound read latencies during major compactions, achieving up to 85% better performance in certain percentile measurements. These advancements are largely attributed to the improved I/O Scheduler's ability to maintain performance during background operations and the refined process of CPU scheduling. ScyllaDB 2.3 also simplifies deployments by addressing inconsistencies in I/O configuration, making it a more reliable and efficient option for handling both disk-bound and CPU-intensive workloads.