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Logistics
Performance engineering for a logistics platform
Systematic performance engineering across a high-throughput SQL Server workload supporting operational reporting.
Anonymised — published with client approval
The challenge
Peak-hour reporting was straining the operational database and impacting user experience.
Our approach
- Wait-statistics baseline and workload characterisation
- Redesigned indexing and statistics strategy on hot tables
- Stored-procedure refactor for parameter-sensitive plans
- Read-scale patterns to isolate reporting traffic
Outcomes
Significant reduction in peak-hour latency
Reduced locking and blocking incidents
Predictable performance during peak windows
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