It is highly unusual for performance testing to be carried out in a perfectly live-like environment. There’s normally at least a couple of differences between the test and the live environment such as; data sizing, backup and storage infrastructure, interfaces to other (live) systems, or cross-site data logging and data replication. Our whitepaper discusses ten key factors for consideration when performance testing in a non-representative environment:
  1. Using non-representative environments to left-shift performance testing
  2. Logical system architecture
  3. Network infrastructure
  4. Operating systems, software and runtime
  5. Scaling
  6. Database configuration and data sizing
  7. Caching
  8. Content Delivery Networks (CDNs)
  9. Downstream and upstream systems/service virtualisation
  10. Data entry points/end points
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