Optimize Before You Observe with Active Telemetry

The Reality: Teams Are Forced to Choose
Between Visibility and Budget

📊 Up to 80% of ingested data provides little to no business value

📊 MTTR increases by 30-60% due to data noise and delays

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Pre-aggregate high-cardinality metrics to reduce data bloat. Prevent cost explosions by filtering and remapping metric dimensions before they hit Datadog.

⚡ Control metric explosion

Send only high-value traces to Datadog while preserving trace fidelity. Eliminate trace noise from healthy services while guaranteeing 100% capture of critical error traces.

⚡ Reduce trace costs by 60-80%

Auto-adjust routing and filtering based on conditions with a 4-hour buffer. Automatically highlight anomalies and route alerts during critical events.

⚡ Risk-free optimization

Stream logs instantly, independent of Datadog indexing. Troubleshoot in real-time by viewing raw log streams before they hit any platform, bypassing ingestion delays entirely.

⚡ Zero-delay incident response

Combine logs or metrics at the edge for simplified, summarized insights. Turn thousands of high-volume events into meaningful aggregates.

⚡ Reduce volume by 70%+

Add context and structure to logs before they reach Datadog. Enrich data with metadata and transform unstructured logs into searchable, actionable insights.

⚡ Better data quality

Challenge

Datadog costs growing 300% year-over-year with limited visibility into spending

Solution

Implemented Mezmo pipelines to filter and aggregate logs before Datadog ingestion

Results

✔️ 52% reduction in Datadog costs
✔️ 40% faster incident resolution
✔️ 90% reduction in noisy alerts

Challenge

Overwhelming telemetry data volume from network infrastructure

Solution

Implemented Mezmo pipelines to filter and aggregate logs before Used Mezmo to filter and parse data, indexing only necessary fields

Results

✔️ 50% reduction in overall telemetry data
✔️ Eliminated redundant data storage
✔️ Improved query performance by 3x