Reliable pipelines. Clear operational visibility. Fewer surprises in production.

Azure Data Factory can move data at scale, but running it reliably requires more than successful pipeline executions. Teams need to detect problems, recover safely, validate the data being delivered, manage changes, and understand operational cost.

Empty Cup Consulting helps teams assess and improve how their existing Azure Data Factory environments operate. Our Azure Data Factory Operational Health Check is a focused way to identify risks and agree on what to improve first.

Explore the ADF Health Check · Schedule a Discovery Call

Seven Areas of Operational Excellence

1. Reliability and Recovery

Can failed or interrupted workloads be restarted safely? Review dependencies, retries, idempotency, timeout handling, and recovery from partial loads.

2. Monitoring and Observability

Can your team identify failed, delayed, or missing runs—and distinguish pipeline success from delivery of usable data? Review pipeline and activity telemetry, integration runtime monitoring, and operational dashboards.

3. Alerting and Incident Response

Do actionable alerts reach the right people? Review notification thresholds, ownership, escalation, runbooks, and operational response procedures.

4. Performance and Cost

Are long-running or expensive workloads understood? Review bottlenecks, concurrency, integration runtime choices, throughput, throttling, and important cost drivers.

5. Data Quality and Trust

Can teams verify that the expected data arrived, on time and in usable condition? Review freshness, completeness, reconciliation, schema checks, and failure handling.

6. Governance and Security

Are access and data-handling practices consistent and auditable? Review identity and permissions, secret management, logging, metadata, and lineage where applicable.

7. DevOps and Change Management

Can teams make and deploy changes with confidence? Review source control, release practices, environment configuration, testing, and ownership of production changes.

Where to Start

You may already know where your environment is fragile—or simply suspect that monitoring and operational controls haven’t kept pace with its growth. An ADF Health Check uses representative pipelines, available telemetry, configuration, and conversations with the people supporting the platform to assess the current state.

It provides a baseline, documented findings, and a prioritized improvement plan. We can also help implement recommendations through a separately scoped consulting engagement or hands-on workshop.

See Health Check Scope and Deliverables

Talk Through Your ADF Challenges

Tell us what is happening in production and what better operations would look like for your team.

Schedule a Discovery Call or email hello@emptycupconsulting.com.