SIn this article series, we are discussing Elasticsearch. In Part 1, we will start with an introduction of Elasticsearch and then will be have a brief discussion of the so-called ELK stack. In Part 2, we will then move to the architecture of Elasticsearch and what the heck nodes are, plus a look into clusters, shards, indexes, documents, replicatio, and so on. So let's start.
Introduction to Elasticsearch
Elasticsearch is open source analytics and full-text search engine. It’s often used for enabling search functionality for different applications. For example, a blog for which you want users to be able to search for various kinds of data. That could be blog posts, products, categories, etc. You can actually build complex search functionalities with Elasticsearch, like auto-completion, handling synonyms, adjusting relevance, and so on.