Caching and Concurrency
Understand Elasticsearch's caching mechanisms and how to manage concurrency to handle high request volumes and improve query response times.
Boost Performance with Caching
Welcome to Caching and Concurrency! In this lesson, we'll explore how Elasticsearch uses caching to speed up searches and how it manages many requests at once.
Caching is like remembering past answers. If you ask the same question repeatedly, it's faster to recall the answer than to figure it out every time.
Why Caching is Crucial
For search engines, performance is key. Without caching, every query, even identical ones, would require Elasticsearch to re-read data from disk and re-process it.
This leads to higher CPU usage, increased I/O operations, and slower response times. Caching helps reduce this overhead significantly.