Many automation tools have a mechanism for storing data used in their test scripts. Typically, the specifics of this mechanism is different across tools, making it difficult to use this data outside the tool itself. Using an external, reusable data source allows organizations to avoid the cost of migrating or duplicating existing data, thereby future-proofing their frameworks.

When it comes to testing in DevOps, more than simple regression checking can be automated. By shifting right in the lifecycle and testing in production, you can analyze the undefined, unknown, and unexpected by relying on real traffic and unpredictable test input. With shorter implementation and release cycles, testing and production come closer together.

An advanced, efficient test automation platform, combined with a more systematic and comprehensive architecture, can help boost quality assurance operations to a whole new level. In order to best maximize a software product’s reliability, consider these seven requirements for your test automation efforts.

Building innovative software faster and better is imperative to an organization’s success, so it makes sense to take advantage of DevOps. But what some teams fail to consider is that testing is a crucial part of the process. Without a “test early and often” mentality, DevOps would only be able to release software faster—not better.