When low latency (P99) and high performance are core requirements, what NoSQL database attributes should you consider, and what tradeoffs are key? While we live in a world of multi-CPU, multi-core servers capable of storing tens of terabytes of data, if your database isn’t architected to take advantage of this, you’re being penalized on performance or cost.

Watch this webinar to learn about the critical elements for a high-performance, low-latency NoSQL database. ScyllaDB’s engineers discuss how they addressed core database performance challenges, including the pros and cons of each, and provide a detailed explanation of the architectural principles they applied to achieve their performance objectives.

We’ll take a deep dive into the strategies applied to:

  • Achieve precise control over I/O and compute-intensive workloads
  • Avoid locks and contention on the CPU level
  • Bypass kernel bottlenecks
  • Squeeze the most out of modern multi-core hardware
  • Satisfy SLAs while maintaining system stability

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Speaker bios

Tzach Livyatan, VP of Product, ScyllaDB
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.
Benny Halevy, Director of Engineering, ScyllaDB
Benny has been working on operating systems and distributed file systems for over 20 years, most recently with Tonian, where he co-founded the company and lead it as CTO, and Primary Data. Previously, Benny was the lead architect in Panasas of the pNFS protocol that was introduced into the NFSv4.1 standard and lead the implementation of the protocol as well as the object-based storage stack in the linux kernel. Most recently, Benny lead software development for GSI Technologies, providing a hardware/software solution for deep learning and similarity search using in-memory computing technology.

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