# Astral Indexer The **Astral Indexer** is the component responsible for indexing, storing, and retrieving all data ingested by the Astral SIEM. It provides the foundation for fast search, analytics, and visualization by efficiently managing large volumes of security events, logs, and telemetry. Astral Indexers are deployed as containerized services using Docker on the host machine. This deployment model enables flexible scaling and consistent operation across different environments, allowing additional indexers to be added as data volume, retention, or performance requirements increase. The Astral Indexer architecture supports **high availability (HA)** by allowing multiple indexer instances to operate in parallel. Data ingestion and search operations can be distributed across these instances, ensuring resilience against individual node failures and maintaining service continuity. This design enables Astral to sustain performance and availability even under high ingestion rates or infrastructure disruptions. By distributing data storage and query processing across multiple indexers, Astral ensures efficient use of system resources and rapid response times for searches and analytics. The Astral Indexer integrates seamlessly with the Astral Balancer and Correlator, enabling reliable ingestion, correlation, and visualization as part of a unified SIEM architecture within the Inopli ecosystem. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.inopli.com/astral/astral-implementation/components/astral-indexer.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.