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[What is Sift?](/documentation/get-started/what-is-sift) · [Create your first telemetry workflow](/documentation/get-started/quickstart) · [API](/api/overview)
Get your telemetry into Sift, whether it streams live from a running system or arrives as recorded test files. Select the streaming method that fits your situation. Turn your raw file data into reliable analysis. Verify data flow, troubleshoot ingestion failures, and track pipeline performance. Get real-time observability of your system. Follow the story inside your data as it streams in. Plot channels, isolate anomalies, and compare runs to understand how your system behaves. Open a Run in Explore, plot Channels, and build a multi-Panel workspace to analyze telemetry. Isolate unusual signal behavior, compare related Channels, and identify the root cause of an anomaly. Use Live mode in Explore to monitor real-time telemetry as it streams into Sift. Plot multiple Channels in the same workspace to identify correlations, trends, and dependencies between signals. Compare a new Run against a baseline Run in Explore to identify regressions and validate expected behavior. Save a Panel Configuration in Explore to reuse the same Channels, settings, and layout across Runs without rebuilding your workspace. Automate data review by setting up Rules and templates once, then let Sift automatically review every new run against your criteria. Triage flagged issues to reach a defensible pass or fail decision. Write a CEL-based Rule that flags conditions in your telemetry data so deviations are detected automatically on every Run. Build a Report Template to apply a consistent set of Rules to every Run. Review a Run to investigate and close issues. Assign, update, and resolve Annotations to drive a review to completion. Organize Reports from multiple Runs into a Campaign and track overall review progress. Create a named group of related Runs to use as a comparison baseline, statistical reference, and automated detection source. Configure Family statistics and write a Rule that automatically flags when a new Run falls outside the statistical envelope of your reference Runs. Overlay Family members on a shared aligned time axis in Explore to inspect variance, identify outliers, and compare a new Run against the historical spread. Move findings to the people and systems that need them. Control who can access what and ensure data integrity across your workspace. Set up a webhook to receive notifications in an external system when a Rule is violated or resolved during live data ingestion. Define a structured taxonomy using Metadata keys to organize, categorize, and filter resources including Runs, Campaigns, and Annotations across your workspace. Invite users, manage their status, and organize them into groups to control access to Sift. Use Data Access Governance (DAG) to control access to Sift resources. Configure an external Identity Provider to manage users and groups in Sift using SCIM push provisioning.