By Marc Fleischmann |
As data centers are re-imagined for cloud, there’s a universal need for a data management platform that can orchestrate data everywhere, across private and public clouds. Consequently, data centers are evolving from an “infrastructure-centric” model to an “as-a-service” operations model, dynamically composing their resources to each individual application. In the process, data centers are making increasingly intelligent dynamic tradeoffs between application/business needs and infrastructure capabilities.
Datera converges standard servers with mixed storage media into one single data platform, from which its AI tailors storage and data management individually to each application. Datera’s data platform is architected from ground up to be operated as a service, and can continuously adapt to evolving business needs.
By Bill Borsari |
At the OpenStack Summit in Boston Datera presented the Elastic Data Fabric. Here’s how it compares to Ceph Storage. First, both solutions are “software defined storage”. If we think about the components that make up a commodity server: Processor, Network, and Media. A commodity server can be competitive with custom designed storage platforms. The ability to leverage the benefits of these commodity servers to build a storage large scale system is undeniably the future.
By Ashok Rajagopalan |
In the proverbial quest to align the right price/performance costs with the value of the data, IT ends up with storage silos. This creates significant operational challenges and lock-in scenarios from hardware storage vendors.
So one option is… store everything on flash! Makes sense right?
Yes, except that it is too expensive, and might not be aligned with the economic value of the data in those flash devices.
Datera answer is smart software that runs on standard x86 servers at performance and latency of enterprise-class storage! Through its policy driven and smart placement architecture, Datera Elastic Data Fabric enables customers an easy way to program the right storage technology to be aligned for the value of the data. And as the value of data changes over time, customers can easily move workload transparently across different storage platforms through simple policy changes. The end result? Unmatched operational efficiency with high performance, low latency solution that drives the absolute lowest TCO! And no hardware lock-ins!
By Anne Smith |
We are back from The OpenStack Summit 2017 (held at Hynes Convention Center, Boston, MA). What a great show! It included talks on numerous topics comprised of presentations, panels, workshops, and educational opportunities through OpenStack Academy. Topics spanned cloud strategy and business case development to operational best practices and technical deep dives. There were a lot of great attendees and companies plus a guest keynote – Edward Snowden.
By Anne Smith |
OpenStack Summit is here! Open source has had a major impact over the past few years offering a proven way of collaborating to create technology. Incredible things take place when people can share and build together.
Datera is committed to the open source community and is a contributor to various Linux and OpenStack projects including Nova, Cinder, and Glance. In addition, Datera is the primary contributor and maintainer of Linux target mode stack, Linux-IO Target (LIO™)1 and various IO path modules for the Linux kernel. Datera continues to contribute patches and enhancements to the community. These contributions are widely adopted in the industry and are one of the primary drivers for the emergence of the software defined storage market and its use of Linux based storage targets.
One of the many benefits of Datera software is its “any orchestration stack” that supports VMware, Kubernetes, OpenStack, CloudStack, Docker, and Mesosphere for today’s agile business; its all-flash and hybrid flexibility; and how it aligns cost with performance.