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.
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.
Over the past few years, containers have emerged as possibly the most important trend in enterprise technology since the advent of hardware virtualization—and Docker is the most popular. But what do containers really do, and is adopting Docker the right move for your organization? Read on to find out.
Containers are taking the virtualization model to greater heights by enabling a flexible way to programmatically provision the resources you need. New technology also means we need new processes and failsafes, though. Containers hold a great deal of promise, but are they really ready to be used in production environments?
Ryan Kenney, senior consultant at Coveros, chats with TechWell community manager Owen Gotimer about the difference between containers, container engines, and container orchestration; using containers in your CI/CD pipelines; and the cost of security.
Melissa Benua, engineering manager at mParticle, discusses the role that containers play in test environments. She answers questions like: Why do you need containers? How is your team going to benefit from containers? What is the first step in getting started with containers? Melissa provides resources for learning how to make a container and on how containers will aid you in maintaining control over data and code.
Containerizing applications introduces major changes to the way we run those applications. We can now share infrastructure and resources, but this introduces the need to control the way resources are used—from a sanity perspective first and a financial objective second.
Docker is the most popular containerized solution being used in the software industry for development. However, implementation can get complicated, tricky, and unmaintainable if all you understand is the record-and-playback features or think it is the same as using a virtual machine.