Mezmo unveiled new capabilities to surface critical business insights while reducing observability costs by as much as 70%.
Mezmo’s Telemetry Pipeline now includes more integrations, easy-to-use processors, and enterprise controls that deliver a comprehensive approach to optimize data usage, enabling businesses to make informed, data-driven decisions.
Mezmo transforms observability for SRE and DevOps teams, empowering them to filter out noise, dramatically reduce costs, and unleash their telemetry data's true potential.
“Mezmo’s Telemetry Pipeline addresses challenges that have long plagued enterprises in managing telemetry data efficiently and cost-effectively,” said Tucker Callaway, CEO of Mezmo. “Combined, these new features enable a step-by-step approach to decrease data volume and cost while maximizing signals for business insights. Mezmo continues to innovate and deliver solutions to give our customers a competitive edge.”
Mezmo’s Telemetry Pipeline’s new capabilities help users significantly decrease observability costs, expand the usefulness of the telemetry data and improve the performance of their observability platforms.
- Enabling Business Insights: Mezmo's new Events-to-Metrics Processor identifies and extracts metrics from bulky logs for easy consumption by analytics and visualization tools. This enables better business insights while reducing observability costs. Users can glean insight into metrics, such as abandoned shopping carts, application response times, exposed HIPAA or PII data, failed transactions, network latency, and more, and send such metrics to observability platforms such as Grafana or Datadog.
- Expanded Integrations: As the Pulse Report shows, enterprises connect to dozens of data sources and multiple observability platforms to monitor their systems. Expanding its integration ecosystem, Mezmo helps customers understand and organize telemetry data for a growing range of observability platforms. In addition to the dozens of existing integrations, Mezmo has added integrations to New Relic and Honeycomb.io, while expanding support for data ingestion from Prometheus, Splunk, Kafka, and Azure.
- Enterprise Support: Beyond moving the data, enterprises require telemetry pipelines to support SRE and DevOps workflows. Mezmo has recently added multiple capabilities, such as rollback and redeploy, sequential parsing, error history management, and data sample management, to ensure that multiple teams can take advantage of telemetry data as efficiently as possible.
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