Rootaware

Rootaware is an open-source software platform designed for root-cause analysis in complex IT environments. It ingests data from logs, metrics, traces, and configuration sources and applies a correlation engine with graph-based visualization to identify root causes of incidents and performance issues. The project aims to improve incident response and reduce mean time to repair by surfacing causal relationships across diverse systems and services.

The architecture comprises an ingestion layer, a correlation and reasoning engine, a graph store, and a user interface. Data can be collected through adapters or plugins that support common observability formats. The graph model encodes entities such as services, hosts, containers, processes, and events, along with their relationships. The reasoning component uses rule-based and statistical methods to prioritize likely root causes and present them to operators.

Key features include automatic root-cause analysis, event correlation, anomaly detection, unified dashboards, alert enrichment, and role-based access control. The platform is designed to be extensible via plugins for data sources, analytics modules, and visualization widgets. It also emphasizes data governance with access controls, audit trails, and traceability of analytical decisions.

Rootaware has been adopted by organizations managing multi-cloud and microservices architectures, where cross-system context is essential for incident response. Users commonly report improvements in situational awareness, though effective use depends on properly tuning data retention, signal quality, and rule configurations.

See also: Observability, Root-cause analysis, Event correlation, Graph databases.