ELK

Logs need a stack that can search and visualize them. This page explains Elasticsearch, Logstash, and Kibana from Elastic's own definition, then gives two guides that go further.

The same notes are in Logs.

The definition comes from the vendor. Elastic on ELK describes the stack as a way to reliably and securely take data from any source, in any format, then search, analyze, and visualize it in real time, and names the three parts:

So, what is the ELK Stack? "ELK" is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch. The Elastic Stack is the next evolution of the ELK Stack.

With the three parts named, Logz.io on ELK is the complete ELK Stack: Elasticsearch, Logstash & Kibana Guide (2026). For an absolute beginner, Hackernoon intro is "Elastic Stack — A Brief Introduction", which explains what the stack is and why you need it, and opens with its audience: You are reading the right blog post if you have heard of Elastic Stack and want to explore or if you are an absolute dummy.