What do you need to implement a true continuous validation platform for a Cloud App? This series of blog posts will answer this question. This blog post is Part 1 in the series and covers the infrastructure required to implement this platform.
Many life-science companies are asking the question “Can I move my GxP workloads into the public cloud?” Answering “yes” to this question leads to another question: “What toolset do I need to qualify the various IaaS/PaaS services that are constantly changing?”.
Our customers are leveraging our robust framework that we call TestOps. TestOps provides an end to end automation for continuously qualifying any IaaS/PaaS service running on AWS or Azure.
The main objective of this post to answer the following questions. I know a picture is worth a thousand words and so I will do this with illustrations.
Can "Validation" and "DevOps" be used in the same sentence (like vCD - Validated Continuous Delivery)?
Is DevOps a viable model for validated apps in GxP Environments?
How can one ensure the "validation fidelity" in a DevOps environment?
What are the key steps involved in continuously validating a ServiceNow App?
One has to bear in mind that the underlying IaaS and PaaS infrastructure is constantly changing. In fact, the Cloud App itself is continuously changing. In the new cloud world, it does not make any value-sense to pin to an "ancient" version. Thus this Continuous Validation Framework is designed to mitigate these risks and ensure that your ServiceNow app is maintained in a validated state.