Telemetry Pipeline

Data collection

Collects telemetry data from various sources and centralizes it for further processing.

Data transformation

Applies processors to transform data, making it compatible with various end destinations.

Data routing

Routes data to observability platforms like Splunk, DataDog, New Relic, Grafana, and Prometheus.

Understand, Optimize, and Respond workflow

Profiles event patterns, suggests pre-configured Recipes to cut costs, and offers Responsive Pipelines to accelerate incident response times.

Data volume and cost control

Identifies unstructured telemetry data, removes low-value and repetitive data, and uses sampling to reduce chatter.