Access the Right Data to Reduce Mean Time to Repair/Detect
Are you looking to:
Resolve incidents more quickly by enhancing the "signal to noise ratio" of your telemetry data.
Access the data in the right format at the right time for faster resolutions.
Get alerts and notifications without dealing with large volumes of false positives.
Mezmo aligns data formats across platforms, enhancing collaboration and facilitating the identification of root causes.
A major issue with typical observability tools is that they only alert you to problems that have already occurred. This is because your telemetry data must first be indexed by the tool before any alert conditions are triggered. Depending on the lag between the time the condition occurs and is indexed, you can lose valuable time in identifying and resolving significant incidents.
Solution:
With features of Mezmo Active Telemetry Platform, like in-stream alerts, you can significantly improve your MTTR when incidents occur, and increase the velocity of alert triggers across all your systems. In conjunction with the responsive pipelines, In-stream alerts enable you to set alert conditions on any node in your pipeline. When alert conditions are triggered for that node, the pipeline can switch to incident mode for data processing.
Key Capabilities for Efficiency and Troubleshooting
Remove low-value logs (DEBUG/INFO) to reduce noise and manage costs effectively. Learn more about supported processors.
Decide what stays hot, what moves to cold storage (S3, Azure Blob, GCP), or gets dropped. Learn more about supported destinations.
Stream telemetry data in real-time and replay buffered events for instant incident investigation without waiting for indexing or storage delays.
Continuously analyze telemetry patterns to identify high-volume, low-value data streams and provide actionable recommendations for cost optimization. Learn how to use data profiling.
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.
Real Results from Real Teams
"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
"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
"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
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