2 years ago

Category: Software, Business, Data, automation, artificial-intelligence

Customer expectations for speed and reliability have upended the software development life cycle. Whereas developers used to develop a product and send it to quality assurance engineers for testing before widespread release, customers now demand new versions and features on a quicker timeline. In an era with little available time to run QA in the traditional development process, what’s the alternative?

This merger of the traditional roles of QA and monitoring is enabling quicker speeds within the delivery cycle, a development that improves the customer experience but also ignites business innovation.

Integrating observability with AI into the development cycle allows teams to spot change almost instantly.