Scaling modern applications requires an understanding of low-latency architecture and systems engineering. #P99CONF brings experts to share real-world strategies for reducing tail latency and maximizing hardware efficiency. Save your spot > ow.ly/JpmI50ZgR2E#ScyllaDB
Netflix built an autonomous agent that hunts performance inefficiencies across live production services, traces them to source code, proposes fixes, and validates results. Join Rajat Shah at #P99CONF on October 21-22 to learn how they built it > ow.ly/Taxy50ZjgSz#ScyllaDB
When @Snap had a 5x P90 latency regression, they ended up finding 8 milliseconds hiding in Envoy's Redis buffer flush threshold. At our free & virtual #P99CONF, Kishor Yadav Kommanaboina explains how they found and resolved it. Sign up here > ow.ly/VqKh50ZxKWQ#ScyllaDB
Vibe coding a mature database is very different from vibe coding business logic. During a highly technical #P99CONF session, @ScyllaDB CEO @DorLaor shares his experience "vibe coding" the ScyllaDB cache to improve p99 latency. Save your spot: ow.ly/QPEr50ZxJvz#ScyllaDB
How do techniques like quantization or filtering impact the performance of mid-size scenarios? @ScyllaDB Director of Software Engineering, Szymon Wasik, will share the results they have for one billion+ vectors at #P99CONF. Don't miss this one! ow.ly/KmZX50Zx5Or#ScyllaDB
