Google Brings Container Engine to Market

After nine months in preview, Google has finally rolled out a commercial release of its container management service. Called the Google Container Engine, the new service aims to provide enterprise clients with the ability to run their most complex workloads in the cloud.

Containers are a new type of virtualization technology that aim to streamline the process of running workloads in the cloud by allowing multiple isolated user-space instances. Each instance, or container, appears to have all the characteristics of a normal server from the perspective of the end users.

The technique provides better security and helps limit the impact of one container's activities on other containers. Many applications take advantage of multiple containers. A Web application, for example, might have separate containers for its Web server, cache, and database.

The Advantages of Kubernetes

Google Container Engine is specifically designed to manage Docker containers, a specific type of server virtualization designed for application deployment. In particular, Docker containers are designed to be more flexible than other types of containers.

Google Container Engine is built on Kubernetes, an open source system for orchestrating clusters of Linux containers. Kubernetes is designed to be a leaner, more extensible, and more portable system capable of deployments in multiple public, private, and hybrid clouds, according to Google.

One of the primary advantages of Kubernetes, and by extension, Google Container Engine, is the systemEUs declarative nature. EUContainer Engine schedules your containers into your cluster and manages them automatically, based on requirements that you declare,EU the company said in a blog post announcing the release of the service.

EUSimply define your containersEU needs, such as the amount of CPU/memory to reserve, number of replicas, and keepalive policy, and Container Engine will actively ensure requirements are met,EU Google noted. Container EngineEUs ability to dynamically resize clusters for more CPU or...

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