In order to fully embrace agile and create an environment where individuals want to work together as a team, managers have to move from a role of dictation to one of direction and mentorship. Instead of making all the decisions, managers need to trust their team members and empower them to solve problems on their own, innovate, and fail—or succeed.

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.

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.