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System Observability: Logging, Metrics & Tracing (ELK + OpenTelemetry) · Lesson

Elasticsearch: Indexing and Search

Learn the basics of Elasticsearch, a distributed search and analytics engine. Understand how to index documents and perform basic queries.

Welcome to Elasticsearch!

Welcome to the first lesson on the ELK Stack! We'll start with Elasticsearch, the 'E' in ELK.

Elasticsearch is a powerful, open-source distributed search and analytics engine. It's designed to store, search, and analyze large volumes of data quickly.

  • Distributed: Runs across multiple servers.
  • Real-time: Data is available for search almost instantly.
  • Scalable: Easily handles growing data needs.

Data as JSON Documents

Elasticsearch stores data as JSON documents. Think of a document as a single record, like a row in a database, but more flexible.

Each document is a collection of fields (key-value pairs) and can contain various data types, including text, numbers, dates, and even other JSON objects.

Here's a simple example of a document:

{"user": "alice", "message": "Hello CoddyKit!"}

All lessons in this course

  1. Elasticsearch: Indexing and Search
  2. Logstash: Data Ingestion and Processing
  3. Kibana: Visualization and Dashboards
  4. Beats: Lightweight Data Shippers
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