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Mezmo: Telemetry Data Platform

Mezmo helps software companies manage high-volume telemetry data. It is designed for platform engineers and SREs who need to reduce data noise and identify the root cause of incidents.

At a glance

Best for
Platform Engineers, Site Reliability Engineers (SREs), Software Developers, Software Companies
Pricing
Pricing is usage-based, determined by data volume and retention needs. A free trial is available with no credit card required.
Key use cases
Incident Root Cause Analysis, Observability Cost Management, Telemetry Pipeline Engineering, OpenTelemetry Migration
Integrations
OpenTelemetry, Datadog, Dynatrace, PagerDuty, Slack
Official website
mezmo.com
Screenshot of Mezmo website

Mezmo is a telemetry data platform designed to ingest, profile, and parse operational data in real time. It is built to reduce raw telemetry events into curated, context-rich signals, which may help technical teams manage the volume of logs and metrics by filtering noise before storage.

The platform targets platform engineers, site reliability engineers (SREs), and developers. It provides pipelines to transform data and an AI-driven root cause analysis (RCA) agent that can be accessed within developer IDEs.

Buyers should note that the platform is technical and intended for teams with existing observability stacks. It is designed to work with other tools by filtering data before it reaches ingestion destinations to help manage costs.

Key Features

AI-Powered Root Cause Analysis

An AI SRE agent that investigates incidents across logs, metrics, and traces to identify the cause of outages.

Real-time Telemetry Parsing

Ingests and processes telemetry in real time using in-stream parsing and enrichment pipelines.

Data Reduction

Designed to reduce raw telemetry events by up to 99.98% by removing noise before analysis.

AURA Agentic Harness

An open-source control plane used to orchestrate AI workflows and repeatable runbooks across a technical stack.

IDE Integration

Supports access to root cause insights directly within the developer's development environment.

Model Context Protocol (MCP) Support

Supports connecting preferred AI models to technical data via the Model Context Protocol.

Use Cases

Incident Root Cause Analysis

Using AI agents to correlate telemetry data and pinpoint the cause of outages to help reduce resolution time.

Observability Cost Management

Using pipelines to filter and aggregate logs before they are sent to destinations like Datadog or Dynatrace.

Telemetry Pipeline Engineering

Directing, transforming, and routing telemetry data in real time.

OpenTelemetry Migration

Supporting the transition to OpenTelemetry standards.

Best For

Platform EngineersSite Reliability Engineers (SREs)Software DevelopersSoftware Companies

Integrations

OpenTelemetryDatadogDynatracePagerDutySlack

Pricing

Pricing is usage-based, determined by data volume and retention needs. A free trial is available with no credit card required.

FAQ

How is Mezmo's pricing structured?

Pricing is usage-based and calculated based on data volume and retention needs. AI root cause analysis is included in the platform license.

Who is the target user for Mezmo?

Mezmo is designed for software companies, specifically for site reliability engineers (SREs), platform engineers, and developers.

Is there a free trial available for Mezmo?

Yes, Mezmo offers a free trial that does not require a credit card to start.

Can I use my own AI models with Mezmo?

Yes, Mezmo supports the Model Context Protocol (MCP), which allows users to integrate their own AI models and workflows.

Source category: Software Development

Source subcategory: Observability Platform

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