Why Learn About Containers?
Containers solve the reliability problems that arise when software moves from one computing environment to another. This could be when moving applications from a developer’s laptop to a test environment, from a staging environment to production, or even when moving apps from on on-premise data venter to virtual machines in a public or private cloud. Containers do this by encapsulating the application code along with its dependencies, libraries, other binaries, and all configuration files needed to run it in one package. Containerizing the app and its dependencies means that differences in OS distributions and underlying infrastructure are abstracted away.
While containers have been a part of Linux for a long time, it was only when Docker exploded on the scene in 2013 that their usage has swept the IT landscape. These days there are plenty of competitors to Docker, including containerd, CRI-O, and Kata. In addition to the container runtimes, there are a lot of options when it comes to container orchestration, like Docker Swarm, Amazon ECS, Apache Mesos, and the wildly popular Kubernetes.
Get Started Learning about Containers and Docker
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2 results found for "Containers and Docker"
Anthos and Google Kubernetes Engine Topic: Kubernetes | Code: GCP-KE
This three-day instructor-led class introduces participants to deploying and managing containerized applications on Google Kubernetes Engine (GKE) and the other services provided by Google Cloud....
Fundamentals for Getting Started with Google Topic: Kubernetes | Code: GCP-KUB
Learn to containerize workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Kubernetes Engine, and scale those workloads to handle increased traffic. You also learn how...