Mezmo
Monitoring & Logging Plane
Observability
Mezmo is a telemetry data pipeline and log analysis platform that helps organizations understand, optimize, and respond to critical business data in real time.
Mezmo

Observability

Monitoring & Logging Plane

Mezmo is a telemetry data pipeline and log analysis platform that helps organizations understand, optimize, and respond to critical business data in real time.

What is Mezmo?

Mezmo is a telemetry data pipeline and log analysis solution designed to help application owners understand, optimize, and respond to critical business data across domains.

Profile

Mezmo provides a platform for managing telemetry data and log analysis, enabling organizations to gain real-time insights into their systems. The solution is designed to support developers, SREs, and AI agents by delivering actionable observability data.

Focus

The platform focuses on active telemetry, allowing users to access, analyze, and route telemetry data efficiently. Mezmo aims to reduce data volume, accelerate resolution times, and lower observability costs while maintaining high-fidelity, noise-free telemetry.

Background

Mezmo addresses the challenges of traditional "store first, ask questions later" approaches by providing an active telemetry platform that empowers developers to define filters, shape data, and route information as needed. The platform supports real-time profiling, context-driven analysis, and automated responses to events and anomalies.

Main Features

  • Active Engagement: Enables developers to access and act on any telemetry data at any time without compromising budget, performance, or control.
  • Active Analysis: Provides in-stream analysis of observability data with rich context to identify behavior patterns and spot issues.
  • Active Routing: Directs telemetry data based on value, separating signal from noise and triggering automated actions in real time.
  • Developer Control: Allows users to define filters, shape data, and instantly search or replay telemetry as needed.
  • In-flow Processing: Profiles telemetry in real time, determining usefulness and routing on the fly.
  • Context Engine: Retains essential information for on-the-fly telemetry analysis, including tail-based sampling and instant replay of filtered data.
  • Auto Response: Detects events and anomalies as they occur and triggers instant actions such as capturing more data or rerouting information to other tools.