Distributed search and analytics engine with inverted indexes, sharding, replication, and the ELK stack.
Search UI with autocomplete, filters, facets, and result highlighting.
REST API translating user queries into Elasticsearch DSL.
Routes queries to shards, merges results, handles pagination.
SSD-backed nodes for recent, frequently searched data.
HDD-backed nodes for older, less frequently accessed indexes.
Cluster state, shard allocation, index creation, node management.
Document enrichment, parsing, and transformation before indexing.
Data collection, parsing, and delivery from logs, metrics, and events.
Visualization dashboards, Dev Tools console, and alerting.
S3/GCS backup repository for index snapshots and disaster recovery.
Explore this architecture with animated data flows, node auditing, and AI-powered analysis.
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