Telemetry Pipeline by Mezmo collects, transforms, and routes telemetry data to control costs and drive actionability. It centralizes data from various sources, applies processors to transform data, and routes it to observability platforms like Splunk, DataDog, New Relic, Grafana, and Prometheus. Mezmo Telemetry Pipeline helps users take control of their telemetry data with an Understand, Optimize, and Respond workflow. It profiles event patterns, suggests pre-configured Recipes to cut costs, and offers Responsive Pipelines to accelerate incident response times. It controls data volume and costs by identifying unstructured telemetry data, removing low-value and repetitive data, and using sampling to reduce chatter. It employs intelligent routing rules to send certain data types to low-cost storage. Telemetry Pipeline can filter, reduce, deduplicate, route, transform, and enrich data to increase value and optimize flows. It can scrub or encrypt sensitive data for compliance, create new metrics from existing events and log messages, and aggregate metrics to reduce storage without sacrificing value. It also delivers insights by extracting them before data reaches high-cost destinations. Users can monitor the health of their data pipeline and run tests before deployment using simulation and OOB dashboards. Telemetry Pipeline can derive metric data from logs by parsing log data to extract specific information and count specific events within the log data to create a metric. It helps users streamline, optimize, and harness the full potential of their telemetry data.
