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Data Pipeline Monitoring

In-depth articles on data observability, lineage, and incident response — written for data engineers who manage Power BI, ADF, Databricks, Fabric, and dbt.

Data Observability3Data Lineage2Cloud Migration2Best Practices1

Data Observability

Data Observability8 min

Power BI Monitoring: What to Track Beyond Refreshes

Most teams only monitor refresh failures. Here's what else can silently break your dashboards.

April 11, 2026
Data Observability7 min

Why Silent Data Failures Cost More Than Outages

A failed refresh announces itself. Stale or incorrect data does not.

April 10, 2026
Data Observability9 min

5 Data Observability Practices for Power BI Teams

A practical checklist for teams that want to know about problems before their users do.

April 9, 2026

Data Lineage

Data Lineage8 min

End-to-End Data Lineage: From ADF to Power BI

Without a map of your data chain, every investigation starts from scratch.

April 8, 2026
Data Lineage7 min

Data Pipelines Need Lineage, Not Just Monitoring

Monitoring tells you what broke. Lineage tells you why and what it's taking down with it.

April 7, 2026

Cloud Migration

Cloud Migration8 min

Monitoring During Cloud Migration: What Teams Miss

During migration, you're not monitoring one environment — you're monitoring two.

April 6, 2026
Cloud Migration8 min

From SSIS to ADF to Fabric: Keeping Oversight

Three generations of ETL tooling, one data stack — maintaining visibility when the tools keep changing.

April 5, 2026

Best Practices

Best Practices9 min

How to Set Up Incident Response for Data Pipeline Failures

What do you do when it's 3am and your most important dataset just failed to refresh?

April 4, 2026

Stop finding out from your users

MetricSign monitors your Power BI datasets, ADF pipelines, Databricks jobs, Fabric Pipelines, and dbt models — and surfaces incidents with root cause context before your stakeholders notice.

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