Adopting service virtualization can allow organizations to achieve more effective software development and testing by removing traditional test environment bottlenecks. Integrating service virtualization within the continuous delivery pipeline using containerization helps teams reach the level of flexibility required by today's competitive markets.

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.

Containers support the timely delivery of a quality software application. However, the change to a DevOps process involving containers will require testers to adapt to this new, more agile environment. What does that mean for testers and the work they do? Here's how testers can embrace these changes, containers, and DevOps.

DevOps is the key to unifying technology with business results. Customers abandon apps and sites if their expectations are not met almost instantly, so issues must be resolved earlier in the pipeline before end-users are impacted. This article highlights the need for adopting a DevOps culture and some best practices for doing so.