Rackspace has announced that it will offer managed services for Pivotal Cloud Foundry.
Rackspace will be adding support for the company’s PaaS offering to its stable of cloud platforms, which includes OpenStack, Google Cloud Platform, VMWare, Microsoft Azure and AWS.
Rackspace’s vice president of applications and platforms, Brannon Lacey said: “Managed Pivotal Cloud Foundry is Rackspace’s first step into the managed platform space, as we move up the stack to solutions that customers want our help. It is a solution that helps customers get up and running on Pivotal Cloud Foundry quickly and stay up and running, with operational support and proactive monitoring. This way, in-house teams can focus on innovation and getting out to market quickly while Rackspace handles the backend.”
Rackspace’s Managed Pivotal Cloud Foundry service will also include multi-cloud support, as well as management for updates, feature releases and troubleshooting.
Pivotal president and COO Bill Cook said that the collaboration between Pivotal and Rackspace would “provide customers the option to manage their cloud environment, so they can focus on rapidly shipping code.”
Bull Information Systems has put together a new big data analytics tool called “bullion fast data analytics”, designed to look at data from the digital economy in real time.
It has been built using Pivotal based technologies in combination with Bull’s bullion servers.
Bull points out that this year there are roughly 3 Zettabytes of data floating around, or 400 Gigabytes for everyone on the planet, with this figure only set to increase to up to 40 Zettabytes by 2020. So for it’s very useful for organisations to be able to sift through this data and extract relevant information, whether that is managing crises, or building customer loyalty. Of course, we have all heard about “big data” this year.
Fast data analytics is, Bull asserts, the “first platform to integrate new data fabrics, modern programming frameworks, cloud portability and support for legacy systems”. The architecture has been designed on top of Pivotal Greenplum Database and Gemfire, and the company promises the end product makes analytics less complex, shifting the focus from software tinkering to applying the actual information.
The company says its technology is highly flexible and can “significantly” reduce Total Cost of Ownership, as well as having been validated with Pivotal and VMware at Bull’s R&D labs. It runs in a virtualised environement, promises lower latency, and cost savings.
VP of Bull’s enterprise service business, Jacqueline Moussa, said the company offers a “unified and robust platform”.
“Organisations can take advantage of lower implementation and operations costs and quick real-time analysis of the huge amounts of data being produced each hour,” Moussa said.