Changes to OpenShift Online Starter Tier

For some time now, we have offered our OpenShift Online service in a few service tiers. This hosted service has been available since 2011, and to date, well over 4 million applications have been launched on OpenShift Online. One of the key features of this hosted form of Red Hat OpenShift has been our Starter tier, where we have provided free access to our award-winning platform for learning and experimenting.

This service has helped many users kick the tires on OpenShift, and to build their own proof of concepts, or to port a single application to measure the experience. We’re happy that we have been able to enable so many newcomers to our platform with this free service.

We have listened to our users, and we’re happy to announce that we will be increasing the resources of this free service by double. Due to the popularity of our platform, we will be introducing time limits on the Starter platform to allow more users to take advantage of this useful resource.

Beginning December 17th, 2018, we’re introducing two major changes to the Starter tier, and increasing the power of the service in doing so.

1) All existing Starter users on OpenShift Online will expire 30 days from December 17.

2) All future Starter plans will have a 60-day time limit, and a resource increase from 1GiB to 2GiB for each of Memory, Terminating Memory, and Storage.

OpenShift Online Starter has always been for individual learning, experimenting, and development, and this change allows our users to better use the platform for just that purpose. Our OpenShift Online Pro subscription is for professional hosting and will always be available without boundaries. We’re excited to see what doubling the resources in Starter enables our customers to build and experiment with. And if you’re interested in experimenting and learning more about OpenShift with hands-on environments, you can also check out learn.openshift.com, where you can access hands-on tutorials for building applications, working with service mesh, and even trying our serverless computing with Red Hat OpenShift.

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