Automation & Performance Testing

When transaction volumes scale faster than the system was built to handle, the cracks tend to show up in the worst places. Billing runs long. Payment processing slows. Account indexing queues start backing up. Service requests miss their SLA windows.

For teams running Oracle EBS or NetSuite, this pattern is common. Rapid business growth is supposed to be a good problem. It stops feeling that way when it exposes infrastructure that was never tested at the new scale — and the operations team is spending weekends investigating what went wrong in production.

The cost climbs alongside the volume. Longer processing times mean more compute, more manual intervention, more support tickets. And while the business is dealing with all of this, it still needs new features, faster releases, and some assurance that nothing is quietly regressing. Manual test cycles can't hold that pace. Performance issues that should have been caught in development reach production instead.

We designed a structured automation and performance testing framework built directly into the CI/CD pipeline — so testing runs continuously, not just in the days before a release.

The framework covers component-level and service-level performance testing across the transaction paths that matter most: billing, payments, account indexing, service requests. Server-side performance monitoring runs alongside it, giving teams real visibility into what the system is actually doing under load — not just a pass/fail result. When something degrades, the data is already there. No post-incident archaeology.

Automation and performance tuning are applied together rather than one after the other. The test suite is built to be reused across releases, which means coverage grows over time rather than being rebuilt from scratch each cycle.