AI scans every pipeline for missing error handling, broken retry policies, scheduling gaps, and reliability blind spots. An MVP walks you through the fixes.
Get Started — $4,000Five dimensions scored 0-100. Every finding comes with a specific fix — not just a red flag.
Does every critical activity have a failure path? Are there notification activities for pipeline failures? We check every dependency chain.
Job history analysis: success rates, failure patterns, duration trends, SLA compliance. We spot degradation before it becomes an outage.
Retry policies, timeouts, ForEach batch counts, parameterization. Every activity checked against Microsoft best practices.
Overlapping schedules, disabled schedules, gaps between pipeline runs. We map your entire orchestration timeline.
Quality gates between layers, pipeline parameterization, dependency chain depth, notification coverage.
These are the issues that don't crash your pipeline — they just quietly corrupt your data or waste your capacity.
Pipeline stops silently on error. No alert fires. Downstream dashboards show stale data for hours before anyone notices.
A single transient 429 or timeout kills the entire pipeline. Adding 2 retries with 30s backoff catches 90% of these.
A Spark session hangs, the activity runs forever, consuming capacity. Nobody knows until the bill arrives.
Bronze loads fine but writes zero rows. Silver transforms nothing. Gold serves empty dashboards. Everyone blames the data source.
Pipeline fails at 2am. The team finds out at 10am when the CEO asks why the dashboard is wrong.
Works in dev, breaks in prod. Pipeline parameters and expressions prevent environment-specific failures.
Three steps. Half a day. Clear action plan.
15-min call. We get read access to your workspace and understand which pipelines are business-critical.
AI reads every pipeline definition, analyzes activity configurations, pulls full job history, and maps schedules.
Scored report with prioritized fixes, monitoring query templates, and a 2-hour walkthrough call with an MVP.
Every pipeline in your workspace, audited. One flat fee.
Spark Optimization ($3,500) + Pipeline Health Check ($4,000)
Audit your notebooks and the pipelines that run them.