Elastic Observability
by Elastic · Cloud infrastructure · San Francisco, United States
Agentic observability platform for logs, metrics and traces at reduced cost.
Elastic Observability provides full-signal agentic observability for logs, metrics and traces, aiming to deliver efficiency compared to other monitoring tools. It is used by engineering and operations teams to identify root causes of issues across systems. It is built on the Elasticsearch search database and is part of Elastic's unified data platform, deployable in the cloud, on-premises or serverless, with claims of faster queries and lower cost full-fidelity telemetry retention than some competitors.
What Elastic Observability does
- Log, metric and trace monitoring
- Root cause identification
- Full-fidelity telemetry retention
- Agentic SRE assistance
What Elastic Observability is used for
- Root cause analysis
- Application performance monitoring
- Infrastructure monitoring
About Elastic
Search database, SIEM, observability platform, and AI context engine for security and operations.
Elastic in the vendor registry: its products, features and similar vendors.
Also by Elastic
- Elasticsearch: A distributed, RESTful search and analytics engine that powers search, observability, and security applications.
- Kibana: Visualization and dashboard tool for exploring and analyzing data stored in Elasticsearch.
- Elastic Agent Builder: Tool for building context-aware AI agents that incorporate enterprise data and deliver relevant outcomes.
- Elastic Security (SIEM): AI-driven security analytics platform for detecting, investigating, and responding to threats in real time.
- Elastic Search: A search database for AI powering search, security and observability applications.
- AutoOps: Free cluster management utility providing real-time diagnostics, performance recommendations, and cost insights.
More in this category: Cloud and infrastructure providers for financial services.
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Built by Vederca from public sources, last updated 2026-10-18.