Datamation content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More.
HP: This white paper begins with an overview of virtualization and its potential risks. It then offers information on how to leverage virtualization for QA purposes, including ten tips:
- “Automate as much as possible, because the value and pay off will be much more tangible and measurable.”
- “Reach out and establish a relationship with the virtualization administrators.”
- “Don’t underestimate the additional costs of going virtual in testing.”
- “Remember that modern applications are distributed and in the virtualized test environment, and that virtual networking is required.”
- “When you’re doing performance testing on a virtual system under test, you don’t want any automated migration or background moving of the virtual resources.”
- “If you’re a QA manager or test team lead, enable your testers to learn more about different virtualization technologies and how they impact the AUT.”
- “Create a comparison benchmark for test cycle times before you adopt virtualization.”
- “When it comes to managing the virtual test lab, implement standard for the naming of VM resources, for base system VMs and AUT VMs.”
- “While performance testing a single AUT VM, don’t forget to create the anticipated resource utilization (“noise”) of any other VMs that would be competing for shared resources of the virtualization platform.”
- “Virtualizing any of the dependencies behind/underneath the AUT (commonly referred to as “stubbing”) can also help leverage maximum efficiency from a virtualized testing environment.”
RELATED NEWS AND ANALYSIS
-
Ethics and Artificial Intelligence: Driving Greater Equality
FEATURE | By James Maguire,
December 16, 2020
-
AI vs. Machine Learning vs. Deep Learning
FEATURE | By Cynthia Harvey,
December 11, 2020
-
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
-
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
-
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
-
Top 10 AIOps Companies
FEATURE | By Samuel Greengard,
November 05, 2020
-
What is Text Analysis?
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
-
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
-
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
-
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
-
Top 10 Chatbot Platforms
FEATURE | By Cynthia Harvey,
October 07, 2020
-
Finding a Career Path in AI
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
-
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
-
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
-
Top 10 Machine Learning Companies 2021
FEATURE | By Cynthia Harvey,
September 22, 2020
-
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
-
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
-
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
-
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
-
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020