
Practical tips for predictable low P99s
So many factors must align perfectly to meet strict P99 latency SLAs at high throughput – workload characteristics, database internals, database topology and configuration, the underlying infrastructure, driver interactions…
To help, we recently published Database Performance at Scale: A Practical Guide, a book that shares learnings from thousands of real-world database use cases. But perhaps you don’t have time to read ~300 pages on database performance right now? ;-) In that case, we’re sharing the top takeaways in a short webinar.
Join the book’s co-author, Felipe Cardeneti Mendes, and Tzach Livyatan to:
- Explore often-overlooked factors that impact database performance at scale
- Analyze the performance challenges associated with different types of workloads
- Troubleshoot common mistakes that impact latency and throughput
- Get practical advice for navigating performance tradeoffs

Tzach Livyatan, VP of Product Strategy
Tzach Livyatan has a B.A. and MSc in Computer Science (Technion, Summa Cum Laude), and has had a 15 year career in development, system engineering and product management. In the past he worked in the Telecom domain, focusing on carrier grade systems, signalling, policy and charging applications.

Felipe Mendes, Technical Director
Felipe Cardeneti Mendes is an IT Specialist with years of experience on distributed systems and Open Source technologies. He has co-authored three Linux books and is a frequent speaker on public events and conferences to promote Open Source technologies. At ScyllaDB, he works as a Technical Director. He co-authored Database Performance at Scale (Apress).
ScyllaDB is the Monstrously
Fast + Scalable NoSQL Database
Power your applications with ultra-low database latency & extremely high throughput