Site Reliability Engineers
Access the right data, in the right format, in the right location, at the right time, for the right price. Intelligently optimize data flowing to high-cost destinations Mezmo Observability Pipeline.
Keep Services Humming
Telemetry data is your lifeblood, and managing it better is key. However, SRE teams cite managing huge data volumes and increasing costs as one of their biggest issues. We power SRE team workflows to help understand, optimize, and respond to their dynamic telemetry data needs. Routing data in the right format to the right teams reduces toil, improves collaboration, and, most importantly, reduces resolution times.
Key Capabilities
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.
Redact, encrypt, or mask sensitive/PII data before reaching consumers.
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.
Key Capabilities
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.
Redact, encrypt, or mask sensitive/PII data before reaching consumers.
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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