Log Analysis, reinvented with Active Telemetry

Unlock real-time analytics, cut storage costs dramatically, and drive smarter decisions with high-fidelity logs — instantly.

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Log smart, save big

Our Active Telemetry approach powers Log Analysis and helps DevOps, ITOps, and developers ingest, profile, transform, store, and access logs more efficiently.

Active Engagement

Enable developers to self-serve while maintaining centralized governance

Active Routing

Intelligently direct telemetry to appropriate destinations in real-time

Active Analysis

Process, enrich, and transform data before storage or indexing

Log Analysis benefits

Get real-time insights from the moment logs are created, no waiting for ingestion delays
Slash noise by only storing what matters by filtering outs verbose, low-value logs before storage
Visualize trends and set powerful in-stream alerts for proactive monitoring

See the signal, skip the noise

Cut log storage costs by up to 90% while accelerating MTTR. With Active Telemetry, you see exactly what matters in real time, and nothing you don’t.

Intuitive UI and query language for fast root-cause analysis.

Boards, graphs & screens

Visualize critical metrics with out-of-the-box and custom dashboards.

Log alerts

Threshold, change, and absence alerts in-stream and at rest.

Kubernetes enrichment

Add contextual metadata for Kubernetes logs automatically.

Ingest any logs

Collect in any format, then transform or aggregate pre-index.

Profile logs

Discover structure and patterns, aiding downstream optimization.

Integrations

Fit seamlessly into your ecosystem. Learn which sources and destinations we support

Key capabilities for Log Analysis

Go beyond traditional log management. Process logs in motion, so your developers, SREs, and AI agents get high-fidelity, contextual data instantly — not minutes later.

Filter, sample & reduce

Remove low-value logs (DEBUG/INFO) to reduce noise and manage costs effectively.

Retain & route

Decide what stays hot, what moves to cold storage (S3, Azure Blob, GCP), or gets dropped.

Data compliance

Redact, encrypt, or mask sensitive/PII data before reaching consumers.

Enrich & structure

Add labels and context inline before routing to destinations.

In-stream processing

Alerts and real-time deviations trigger automatic routing adjustments.

Replay/buffer

Hold raw logs in a short-term buffer for on-demand replay.

Real-world use cases for Log Analysis

See how teams like yours are winning 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

30-50%

Faster MTTR

"Teams using Mezmo consistently reduce mean time to resolution by 30-50% through cleaner, more relevant data feeding into their observability platform."

— Platform Engineering Team

85%

Cost reduction

"Using Data Profiler, we discovered we were sending massive amounts of verbose health check logs. Mezmo helped us create cost metrics and optimize our pipeline."

— Schier Engineering