Posted by David Aronchick, Senior Product Manager, Container Engine
Today, Kubernetes 1.4 is available to all Google Container Engine customers. In addition to all the new features Kubernetes 1.4 — including multi-cluster federation, simplified setup and one-command install for popular workloads like MySQL, MariaDB and Jenkins — we’ve also taken big steps to make Google Cloud Platform (GCP) the best place to run your Kubernetes workloads.
Container Engine has continued its rapid growth, doubling in usage every 90 days, while still providing a fully managed Kubernetes service with 99.5% uptime for applications large and small. We’ve also made a number of improvements to the platform to make it even easier to manage and more powerful to use:
One-click alpha clusters can be spun up as easily as a regular cluster, so testing Kubernetes’ alpha features like persistent application support is a one-click operation.
Support for AppArmor in the base image gives applications deployed to Container Engine multiple layers of defense-in-depth.
Integration with Kubernetes Cluster Federation allows you to add a Container Engine cluster to your existing federation, greatly simplifying cloud bursting and multi-cloud deployments.
Rich support for Google Cloud Identity & Access Management allows you to manage GKE clusters with the same multi-faceted roles you use across your GCP projects.
A new Google Container-VM Image makes upgrading a breeze and allows new upgrades to be automatically installed with a simple reboot.
Monitoring of all cluster add-ons ensures that all key functions for your cluster are available and ready to use — one less thing to think about when running a large distributed application.
From new startups to the largest organizations, we’ve seen tremendous adoption of Container Engine, here are a few unique highlights:
Niantic – creators of the global phenomenon Pokémon GO, relies on Container Engine to power their extraordinary growth.
Philips – smart connected lighting system Hue, receives 200 million transactions a day that are easily handled by Container Engine.
Google Cloud ML – the new Cloud Machine Learning service from GCP is also running fully on Container Engine.
And many more companies, from Box to Pearson, are choosing Kubernetes to manage their production workloads.
As always, if you’d like to help shape the future of Kubernetes, please participate in the Kubernetes community; we’d love to have you! Please join the google-containers mailing list or on the kubernetes-users or google-containers Slack channels.
Finally, if you’ve never tried GCP before, getting started is easy. Sign up for your free trial here.
Thank you for your support!
Quelle: Google Cloud Platform
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