How can you monitor pipeline health in Foundry Aware?

• A. Use dashboards and alerts for job status, runtimes, failure reasons, and data quality checks.
• B. Rely solely on manual log review without dashboards.
• C. Only monitor uptime, not data quality.
• D. Pipelines do not require monitoring.

Answer: (B)

Monitoring pipeline health in Foundry Aware relies on proactive visibility through dashboards and alerts. Dashboards give a centralized view of each pipeline’s status, runtimes, and failure reasons, plus data quality checks, so you can spot trends, bottlenecks, or issues at a glance. Alerts complement this by notifying you when something goes out of bounds—such as a failed run, unusual delays, or data quality problems—so you can respond quickly rather than waiting for problems to surface later. Data quality checks are crucial because they catch integrity and completeness issues before data is consumed downstream, helping protect trust in the results.

Relying on manual log reviews is slower and more error-prone, and monitoring just uptime misses data quality and correctness issues. Pipelines do require ongoing monitoring to ensure reliable, timely data delivery and to diagnose issues when they arise.