quality_assurance · saas · workflow
OpenText Core Performance Engineering: cloud-native load testing with predictive analytics
Development teams face performance bottlenecks and complex test setup that slow releases and prevent early-cycle testing.
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 launch 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 Services · partnerAzure · partnerGoogle Cloud Platform · partner
Outcome
One anonymous user reports saving at least 30% in performance testing time, and the platform is described as best in class for monitoring, analytics, and ease of use.
Results
Time savedat least 30%
Grounding & classification
Source type: generic use case
15 fields verified against source quotes.
anomaly detectionpredictive analyticsmetric backedtools describedworkflow describedcycle time reductiontime savedgeneric use casequality assurancemonitor detect alert