详细内容
Observability built for agentic workflows
The new o11y experience powered by Active Telemetry



Agentic root cause analysis that works in minutes
All Mezmo customers have access to AI RCA in minutes, no training required with Active Telemetry.
50%
Data volume reduction
"Mezmo helped us reduce our overall telemetry data volume by 50% by filtering and parsing data to ensure we only indexed the fields we actually needed."
— Netlink Voice
<5 min
MTTR with agentic RCA
"On a daily basis, troubleshooting tasks that used to take our engineers 10-30 minutes of log spelunking are now resolved in under 5, allowing us to focus on innovation instead of firefighting."
— Senior Software Engineer
95%
Reduction in tokens
"Clean context beats clever prompting. Mezmo’s context-first pipeline reduced prompt bloat and stabilized outputs, improving quality while cutting per-incident costs."
— AI Engineer
The Active Telemetry platform
Who it's for
SREs
Predictable cost control
Agentic routing optimizes data streams to eliminate unnecessary volume and cost.
Developers
Faster time to diagnosis
AI-powered SRE agent for root cause analysis cuts MTTR by 90%.
Agents
Smarter, context-rich agents
Give your AI precise telemetry data to support complex issues with accuracy.
The pillars of Active Telemetry
Active Context
Enable operational AI in minutes with context engineered data sets. Give your agents simple prompts with context fueled accuracy reducing the window of failure to almost none.

Active Engagement
Give devs the flexible use of AI to access and act on any high-context telemetry, right within their workflows for a superior experience—without putting budget, performance, or control at risk.

Active Analysis
Process telemetry in-stream to accelerate Root Cause Analysis (RCA) with an agentic SRE. Extract key information and spot anomalies with full context – before data is ever stored.

Active Routing
Direct data with intent, reshape and normalize for agentic and human consumption, including "easy button" migration to Open Telemetry. Separate signal from noise by its value, triggering automated actions to dodge spikes or flag faults in real time.

The benefits of Active Telemetry
01\
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Developer control\
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Diagnose root cause faster and with greater accuracy over traditional methods, all while retaining complete control to define, search, and replay telemetry on demand.\
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02\
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In-flow processing\
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Profile, filter, and normalize telemetry as it flows in real time. Decide what’s useful and shape its context on the fly, ensuring only actionable, high-fidelity data reaches your analytics tools.\
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03\
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Context engine\
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Unify logs, metrics, and traces into structured context for AI and humans. Techniques like tail-based sampling and dynamic cardinality control reduce noise, while retaining the ability to instantly rehydrate or replay filtered-out data the moment an anomaly is detected.\
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04\
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Auto response\
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The Context Engine acts as your pipeline agent, automatically catching events and anomalies to trigger pre-defined SRE actions. It can dynamically prevent cost spikes, capture richer diagnostic telemetry, or instantly re-route critical alerts to Slack and core dev workflows.\
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Explore more
Blog
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Launching an agentic SRE for root cause analysis
Media
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Why Agentic SREs require Active Telemetry in Kubernetes
Blog
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The answer to SRE agent failures: Context Engineering
Analyst report

Gartner® Market Guide for Telemetry Pipelines
Awards

Ready to transform your observability?
Experience the power of Active Telemetry and see how real-time, intelligent observability can accelerate dev cycles while reducing costs and complexity.
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AI SRE for root cause AI-ready context engineering Reduce log volume Accelerate resolution times OTel Migrations Optimize Datadog costs Amplify Dynatrace Modernize observability Manage data compliance For developers For SREs For AI agents
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