Troubleshoot faster, right from your IDE

Go from a case ID to a full event trace with a single natural language query. Eliminate the manual work of filtering logs and accelerate your time to resolution.

Avoid interrupting your coding flow. The Mezmo MCP server brings the data to you, allowing you to debug issues without ever leaving your IDE.

Don't just get raw logs - get a summary. The agent can perform root cause analysis and identify problematic code, providing actionable insights instantly.

Stream telemetry data in real-time and replay buffered events for instant incident investigation without waiting for indexing or storage delays.

Make intelligent sampling decisions after seeing complete trace spans, ensuring critical errors and anomalies are always captured while dropping routine traffic.

Continuously analyze telemetry patterns to identify high-volume, low-value data streams and provide actionable recommendations for cost optimization.

Define, version, and deploy telemetry pipelines using declarative configuration files integrated with your existing CI/CD workflows and infrastructure-as-code practices.

Automatically adapt pipeline behavior based on real-time conditions, scaling processing capacity and adjusting sampling rates to maintain performance during traffic spikes.

Enhance telemetry data with contextual metadata from external sources, standardize formats, and add business context to improve observability and enable better analysis.

Monitor and control metric cardinality in real-time to prevent exponential cost increases from high-cardinality tags while preserving essential dimensional data.

Transform thousands of custom metrics into high-value aggregates (p95, p99, averages) to slash observability costs while improving signal quality downstream.

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