Tag
#operations
8 patterns and 1 tool.
- Pattern Changing Large Volumes of Production Data Without an Outage Planning backfills and clean-ups that touch millions of rows while the system stays live.
- Pattern Designing Audit Trails That Help Investigation What to record about data changes, and how to store it so you can answer what happened when something goes wrong.
- Pattern Designing Integration Jobs That Are Safe to Rerun How to make jobs produce the same result whether they run once, twice, or restart halfway through.
- Pattern Retry, Back Off, Give Up: Handling Unreliable External APIs A system-level policy for which failures to retry, how long to keep trying, and what happens when retries run out.
- Tool Reversible Data Fix Script Builder Generate a SQL Server data fix script for an update or a delete, with a preview, backup table, verification, and a ready-made rollback or restore.
- Pattern Stopping Duplicates at the Source Instead of Cleaning Them Up Where duplicate records come from, and how to design imports, constraints, and matching so they cannot be created.
- Pattern Designing a Reversible Data Fix in SQL Server A repeatable approach for production-safe updates with verification and rollback.
- Pattern Designing Integration Pipelines That Fail Safely A practical approach to building integration pipelines that prevent bad data from reaching downstream systems.
- Pattern Why Status Tables Fail Operations Teams Why simple status fields rarely communicate system state clearly, and how staged models improve operational clarity.