AI-Driven Telemetry Data Platform for Agentic Ops

Mezmo offers an AI-driven telemetry data platform designed to support agentic operations in production environments. At the center of its offering is AURA, an open-source agentic harness built to help teams manage infrastructure and run AI site reliability engineering (SRE) workflows. The platform is intended for roles such as site reliability engineers, platform engineers, and developers who require advanced observability and control over their systems.

AURA enables teams to split complex incidents into distinct phases—investigation, validation, and synthesis—using agent specialists and agent workers. These agents operate based on telemetry, runbooks, service context, and incident history, rather than relying solely on raw data streams. The platform includes a self-checking loop that inspects evidence, retries as necessary, and evaluates findings before passing them along, aiming to ensure the accuracy of outputs. Human-in-the-loop controls are provided, allowing risky actions to be reviewed before affecting production systems.

The platform emphasizes traceability and auditability, allowing users to observe and audit every prompt, tool call, decision, evidence path, and result within the system. Mezmo supports active telemetry pipelines, ingestion, and destinations, and is positioned to help teams with use cases such as AI SRE for root cause analysis, AI-ready context engineering, and OpenTelemetry (OTel) migrations. The platform is promoted as adaptable to a team's own models, data, and operational rules.

AURA is available as an open-source project, with resources and documentation accessible through GitHub. The platform is part of the broader observability tool class, focusing on combining intelligent telemetry with AI-driven observability to detect issues, identify root causes, and facilitate agentic operations across logs, metrics, and traces.