Weekly quality checks, cost reports and data clean-up usually live in notebooks and one-off scripts that break when the person who wrote them is away.
Pipelines run on a schedule inside Anosys, read and write the same data as your dashboards, and can hand results to alerts or the AI Assistant.
Chain the steps, set the schedule, write results back as new fields or tables, and alert on what matters.
Pick the traces, events, process units, evals, dashboards, or datasets the pipeline should operate on.
Add ownership, customer, workflow, cost, policy, release, or business context before analysis.
Run scheduled checks, summaries, scoring, anomaly detection, and custom transformations.
Create alerts, reports, tickets, exports, or handoffs when the pipeline finds something important.
No. Anosys can ingest through OpenTelemetry, REST APIs, SDKs, JavaScript, pixels, and cloud storage.
Yes. Pipelines can run on recurring schedules and maintain history, status, logs, and actions.