Cloudbreak simplifies the deployment of Hortonworks platforms in cloud environments such as Amazon Web Services, Microsoft Azure and Google Cloud Platform. Cloudbreak enables the enterprise to quickly run big data workloads in the cloud while optimizing the use of cloud resources.
With Cloudbreak, the Big Data Platform Owner will get the following core benefits:
Cloudbreak launches clusters on the cloud in 3 easy steps:
Internally, Cloudbreak is built on the foundation of cloud providers APIs (Amazon Web Services, Microsoft Azure, Google Cloud Platform, OpenStack), Apache Ambari, Docker containers, Swarm and Consul.
Hortonworks is focused on going to market with a 100% open source solution. This focus allows us to collectively provide the product management guidance for Enterprise Grade Hadoop to mainstream enterprises, our partner ecosystem, and further innovate the core of Hadoop.
Given our strong open source heritage, we believe Hortonworks is uniquely qualified to ensure that the Cloudbreak technologies continue to flourish in the open. Our strategy is squarely focused on a 100% open-source model with no proprietary extensions. With this approach, we are never conflicted about which capabilities, features, or components to incorporate. We listen to our customers’ and partners’ requirements and work together with them in the open to deliver the best the community has to offer.
Some recent improvements to Cloudbreak include:
Cloudbreak simplifies the configuration of your workloads to leverage cloud storage for processing. This prescriptive way to manage how cloud storage in enabled with your workloads greatly simplifies the DevOps experience for ephemeral workloads.
Protecting your cluster deployments is paramount for cloud workloads and Cloudbreak can help simplify perimeter security. By automatically “wrapping” your cluster with a secure gateway (powered by Apache Knox), you can minimize the network surface area. With Cloudbreak, you have the ability to select which cluster services are exposed through the gateway. This gives the Enterprise a prescriptive way to secure clusters at the perimeter.
When provisioning workloads to the cloud, there are often common configuration options that need to be setup across clusters. Cloudbreak enables you to configure authentication and external database resources one time, and then re-use those options again-and-again across your workloads. This simplifies repeatability and will help power the DevOps experience.
When running workloads in the cloud, it is important to maintain consistent security controls and metadata as workloads come-and-go. Cloudbreak helps you create a “Data Lake” around a set of shared services (Apache Ranger and Apache Hive) for your ephemeral workloads to inherit security policies and data schema. This powers the Modern Data Architecture.
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