ElasticSearch Essential

Want to get the most out of ElasticSearch?
Principles + Monitoring + Troubleshooting all in one!

ElasticSearch cluster
Key know-how for the field.

Elasticsearch, an open-source distributed search engine

With its easy installation using RPM and Rest API-based usability, ElasticSearch quickly joined the ranks of well-known open source tools. In particular, with the accelerated transition to Kubernetes-based container environments, the need for systems capable of fast and reliable log collection and querying has grown, and ElasticSearch is gaining traction as a viable alternative.

Many services build and operate log collection systems based on ElasticSearch, thanks to its ease and speed of startup. However, as this ease and speed of launch increases, various unforeseen issues arise as the service grows beyond a certain scale.

ElasticSearch can be deployed as a cluster. Therefore, if properly configured for its intended use, it can deliver the desired performance and operate reliably enough that service is not affected even if one or two nodes fail. Deploying ElasticSearch as a cluster requires a thorough understanding of the underlying concepts and technologies.

Our goal is to understand the 'core behavior' of ElasticSearch.

ElasticSearch is evolving rapidly, and its version upgrade cycle is correspondingly rapid. However, there are internal operations that remain unchanged even after each version upgrade. Understanding these internal mechanisms is essential for stable operation. In particular, understanding how indexing and searching work and the importance of shard sizing is crucial for responding appropriately when cluster issues or performance issues arise.

Therefore, this lecture won't cover a specific version of ElasticSearch. Instead, it will explain core behaviors that apply equally across all versions , and through case studies, it will cover how to monitor clusters and how to handle issues when they arise. We hope you'll gain a solid understanding of the underlying principles that can be applied and applied regardless of the version of ElasticSearch you're running.

Practical use of ElasticSearch
Solves fundamental problems .

ElasticSearch Essential
4-Step Guide to the Core

I will share my ElasticSearch know-how gained from my field experience.

I have been working on building and operating ElasticSearch clusters at Kakao for over three years and have written the book, “ ElasticSearch Operation Know-How from the Basics .”

Currently, I work as an SRE at Carrot Market, sharing various knowledge through Brunch and Tistory , and also creating open source related to ElasticSearch.
I hope this lecture will help many people use ElasticSearch 🙂

Q&A 💬