Any concept.
clear in 60 seconds.

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

Elasticsearch uses shards for data distribution and replicas for redundancy.

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

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

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

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

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 fuzzy search allows finding results even with typos in queries.

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

Cache penetration occurs when requests for non-existent data overload the database.

Backpressure helps manage message flow in Kafka during traffic spikes.