quality_assurance · saas · workflow
OpenText Core Performance Engineering: cloud-native load testing with predictive analytics and anomaly detection
Teams needed a way to test application performance under real-world load without complex setup, and to detect bottlenecks early enough to avoid production issues and ensure stability under peak traffic.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Design and run load test
Developers, QA, and PMs design and run load tests in minutes with no complex setup required.
Tools used
OpenText Core Performance EngineeringAmazon Web ServicesMicrosoft® AzureGoogle Cloud Platform™
Outcome
A customer reports saving at least 30% in performance testing time with OpenText Core Performance Engineering.
Results
Time savedat least 30%
Grounding & classification
Source type: generic use case
15 fields verified against source quotes.
anomaly detectionpredictive analyticsmetric backedtools describedvendor confirmedworkflow describedcycle time reductiontime savedgeneric use casequality assurancemonitor detect alert