What are some key concepts and design decisions behind modern, scalable, highly performant databases?
ScyllaDB was initially inspired by Apache Cassandra. Instead of using Java, it’s written in C++, which gives it fine control over hardware and operating system resources. These design decisions, using a shard-per-core architecture and more, allow it to achieve x10 performance compared to other databases, with sub-millisecond 99-percentile latency at throughputs of millions of operations per second.
In this deep dive, you will learn about the core concept and architecture of a modern, close-to-the-hardware, distributed, scalable, fault-tolerant database and see some examples of its use. The talk covers autotuning, scalability, elasticity, high availability, and more.