As organizations continue to pursue their digital transformations, their IT infrastructures are expanding in both size and diversity. Many are seeing the addition of two new technologies in particular: containers and Kubernetes.
Containerization has replaced virtual machines to a great extent because containers are lightweight and make efficient use of the OS kernel. Docker’s efficient nature helps with software development, testing, delivery, and deployment in a DevOps environment, and all the benefits of Docker also apply to Kubernetes. Let’s explore some of the additional agile and DevOps benefits you can gain by using Kubernetes.
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.
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.