OpenObserve is a unified observability data platform designed to ingest, store, and analyze logs, metrics, and traces. It functions as a cloud-native monitoring tool that centralizes telemetry from diverse sources, including standard collectors and cloud service providers, into a single, scalable system. By utilizing a columnar storage engine backed by object storage, the platform enables efficient long-term data retention and high-performance analytical querying.
The platform distinguishes itself through deep integration with artificial intelligence, allowing users to query data using natural language, generate dashboards via prompts, and automate incident analysis. It provides specialized monitoring for language model pipelines, including token usage cost analysis and performance tracking for AI agents. Furthermore, the system enforces strict multi-tenant resource isolation and zero-trust access, ensuring that organizational data remains secure and independent within shared infrastructure.
Beyond its core storage and AI capabilities, the platform includes a comprehensive suite of tools for incident management, infrastructure monitoring, and data pipeline orchestration. It supports real-time stream processing, schema-agnostic indexing, and automated data enrichment, allowing for flexible telemetry management without rigid pre-defined structures. The system also provides advanced diagnostic features such as production error deobfuscation, service dependency mapping, and user journey analysis to accelerate root cause investigation.
The software is designed for flexible deployment, running as a stateless, containerized service that supports high availability and horizontal scaling. It is distributed as a single binary or container image, with configuration managed through infrastructure-as-code templates.
