Data Pipeline Monitoring

Never wake up to broken dashboards again

AI agents that watch your pipelines 24/7, diagnose failures, and resolve common issues before your data team notices.

The Problem

Data pipeline failures are silent disasters. By the time a business user notices a dashboard is wrong, the root failure might be 12 hours old — and the data team spends their day firefighting instead of building.

The Solution

AgentCloud data pipeline agents monitor your dbt runs, Airflow DAGs, Fivetran syncs, and Snowflake jobs continuously. When a job fails, the agent diagnoses the root cause, retries transient failures automatically, and pages the data engineer with a complete diagnosis for complex failures.

Results

89% of transient pipeline failures resolved without human intervention

Data freshness SLA violations down 94%

Data engineer on-call burden reduced by 60%

Average pipeline failure detection: 90 seconds vs 45 minutes manual

How It Works

Connect your pipeline tools

Airflow, dbt Cloud, Fivetran, Airbyte, Snowflake, BigQuery — all native integrations.

Define quality rules

Set freshness SLAs, row count thresholds, null rate limits, and schema drift alerts.

Configure auto-remediation

Specify which failure types the agent retries automatically vs. which require human escalation.

Review the weekly digest

Every Monday the agent delivers a pipeline health report with trends and recommended improvements.

Ready to deploy?

See how AgentCloud handles data pipeline monitoring for your specific infrastructure.

Get Started