Gigaspaces Advances Cloudify for OpenStack and Docker Orchestration
VANCOUVER, BC - Gigaspaces today is launching a new milestone release of its open-source Cloudify orchestration project at the OpenStack Summit here. The Cloudify 3.2 release now supports Docker container technology as well adding new enhancements for Network Function Virtualization (NFV) and IPv6.
"We're a pure play orchestration vendor," Nati Shalom, CTO and Founder of Gigaspaces, told ServerWatch.
Shalom said that in the modern IT world where change is a constant, there is a need for a stable mechanism to actually be able to manage an application across infrastructure. With Cloudify, management is approached from an integration perspective, which means the solution can integrate with multiple components in a tool chain, including Docker.
Cloudify will also integrate with VMware, OpenStack and Amazon, enabling an enterprise to adopt changes in a way that avoids the risk of needing to rip and replace technology to deploy workloads.
"Technology will continue to evolve and we'll give organizations the glue to put things together so new technology can be adopted without breaking what has already been deployed," Shalom said.
Among Gigaspaces' customers for Cloudify is TD Bank, which delivered a keynote at the OpenStack Summit detailing its journey to the cloud.
There are multiple vendors in the application orchestration space for cloud, including Red Hat with CloudForms. Shalom said that CloudForms tends to focus on infrastructure, while there are other solutions like Kubernetes that focus specifically on container application orchestration.
"We're not bound to infrastructure or any one technology stack," Shalom explained.
Cloudify in VMs, in the Cloud and in the Future
As an open-source project, Cloudify can be downloaded and installed in a virtual machine, or it can even run in the cloud. Gigaspaces does have an integration with VMware to offer Cloudify as a service in the future. The commercially-supported edition of Cloudify provides additional premium features.
Looking forward, Shalom said the direction is to look at the full lifecycle of an application, including production. Complexity often happens after an application is already installed, which is where auto-scaling, updates and self-healing comes into play.
"A lot of the focus will be on post-deployment aspects, and enabling organizations to automate many of the complex processes that today are still mostly manual," Shalom said.
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