Any concept.
clear in 60 seconds.

Elasticsearch fuzzy search allows finding results even with typos in queries.

Elasticsearch ILM automates index management to reduce storage costs and meet data needs.

You can update Elasticsearch indices without downtime using alias switching.

The dual-write trap in Elasticsearch can cause data inconsistency during reindexing.

Elasticsearch offers Data Streams for simplicity and Time-Based Indices for control in managing time-series data.

Elasticsearch CCR allows real-time data replication for faster disaster recovery.

The number of Elasticsearch nodes depends on storage, workload, and performance needs.

Elasticsearch uses shards for data distribution and replicas for redundancy.

Elasticsearch mapping defines how fields are indexed and searched, with dynamic and explicit options.

Elasticsearch index templates automatically apply settings to new indices based on patterns.

Elasticsearch aliases allow zero-downtime switching between indices for applications.

Elasticsearch Data Streams simplify time-series data management with one name for many indices.

Elasticsearch ILM automates data management through defined lifecycle phases.

Elasticsearch offers two pagination methods: from & size for shallow pages and search_after for deep pages.

Filters check conditions without affecting relevance, while queries do.

A document in Elasticsearch isn't searchable right after it's saved due to the refresh process.

Elasticsearch distributes search queries across shards to find and retrieve results quickly.

Choose Elasticsearch for complex text searches, but use databases for structured queries.

An inverted index helps search engines quickly find documents containing specific terms.

Search engines collect, index, retrieve, and rank documents to provide relevant results.

Alerting helps notify the right people about production issues quickly.

An error budget shows how much downtime is acceptable while meeting reliability goals.

SLIs measure service performance, SLOs set reliability targets, and SLAs are customer agreements.

The USE Method helps find and analyze infrastructure bottlenecks in software systems.