Mezmo is offering new solutions to optimize observability costs for Datadog users, introducing Mezmo Telemetry Pipeline that includes comprehensive insights and optimization workflows for Datadog users, giving SREs and developers with the flexibility needed to profile and reduce large telemetry data volumes.
Enterprise observability tools, such as Datadog, cannot automatically determine which logs and traces are most critical, leaving teams with no alternative but to capture and store all their data. Teams are left missing important insights and face massive overages as they struggle with the cost and complexity of managing their telemetry data, according to Mezmo.
Mezmo solves this challenge with a new optimization workflow designed to easily understand the data in the stream and make decisions on where to direct the data before it is stored in Datadog.
With a clear view of what data is most valuable—and most costly—teams can consolidate common data patterns and adjust in storage to reduce log volume.
“Datadog generates massive amounts of telemetry data, and companies are forced to store it all because they cannot easily determine what is important. Then, at the end of the billing cycle, they are stunned by the ever-increasing costs,” said Lauren Nagel, VP of product for Mezmo. “Mezmo helps them cut through the noise to understand their data; work smarter, not harder; and, ultimately, identify opportunities for cost optimization that align with business goals.”
With Mezmo, teams get:
Dedicated Datadog cost optimization workflow: Users can employ Mezmo flow, a guided experience for building telemetry pipelines, to profile Datadog logs, metrics, and tags to better understand operational value and estimate billing impact.
Responsive pipelines: Empowering SREs and developers, responsive pipelines enable the dynamic adjustment of telemetry data processing based on triggers such as incidents and deployments, automatically providing high-fidelity data for troubleshooting.
Advanced trace sampling for optimal data insight: Users can now choose how they want to sample their trace data—either head-based or tail-based sampling—to reduce noise and accelerate insight discovery.
SREs and developers can start their free trial of Mezmo now.
For more information about this news, visit www.mezmo.