By Hal Woods |
Having integrated, architected, scrutinized, acquired or dismantled dozens of scale-out architectures in my career as a CTO inside some of the biggest technology companies in the world, I can tell you that scale-out is not new, it is not easy and it is not perfect – but it is valuable.
By Antoine Sindhu |
Datera is the only storage product that’s built to natively support a declarative, intent-based paradigm for configuration and management. That’s a mouthful, and it’s a new idea in storage, so I’m going to illustrate it with an analogy to help clarify what it is and why it’s going to revolutionize the way you manage storage.
By Bill Borsari |
Tests show Datera provides significantly higher IOPS and consistently lower latency. In our tests, we used the same physical storage node hardware, the same switches, the same network, the same load generation clients, the same testing tools, and the same number of volumes. However, the storage node hardware used in testing was designed for Datera software, not Ceph.
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.