Pipeline Observability

Pipelines in Acceldata Data Observability Cloud (ADOC) give you a unified view of how data flows across your ecosystem. They connect jobs, assets, runs, spans, and events into an end-to-end model of your workflows—so you can see not just where data is moving, but also where reliability risks are building up.

Why Pipeline Observability Matters

Without pipeline monitoring, you may only notice issues when:

• Data doesn’t land where it’s supposed to
• Dashboards show stale or missing data
• Business teams raise reliability concerns

With Pipeline Observability, you can:

• Monitor workflows end-to-end — from ingestion to transformation to storage
• Detect failures early — catch job errors and bottlenecks before they cascade downstream
• Understand reliability trends — track how execution success, delays, and policy violations evolve over time
• Pinpoint root causes — see which jobs, assets, or dependencies are driving failures
• Communicate health clearly — use pipeline views to share delivery status with engineering and business stakeholders

Key Benefits

• Detect and troubleshoot failed or delayed jobs quickly
• Visualize upstream and downstream dependencies to understand impact
• Apply alerts and policies directly to pipelines for proactive monitoring
• Improve overall reliability and timeliness of your data ecosystem

Explore Working with Pipelines to learn how pipelines are created, monitored, and managed in ADOC.