The new PSP7 software release furthers DataCore’s longtime vision of helping to provide organisations with the agility needed to meet the many challenges of transforming business in the digital age while providing responsive, reliable and seamless access to data, automatically, anywhere it is needed.
“In this age of digital transformation, infrastructure modernisation is a journey. Unlike others offering stop-gap ‘rip and replace’ solutions, our approach breaks down silos and provides customers with a choice of entry points and common management services spanning the continuum of server SANs, software-defined storage, hyper-convergence and hybrid-cloud deployment models, all while preserving the value of their existing investments in storage,” said George Teixeira, DataCore founder and CEO. “We see software-defined as the vehicle to modernisation and the bridge to digital transformation that unifies old and new technologies, making underlying changes invisible to the applications on which organizations depend.”
Why: Better Business Outcomes Through Software-defined Agility and Freedom of Choice DataCore pioneered the concept of software-defined storage — abstracting and automating the data services and management of underlying storage capacity to free customers from vendor lock-in, and to deliver unrivaled performance and data protection at a fraction of the cost of comparable alternatives. This technology, proven in thousands of diverse real-world customer sites, makes it easy for companies to address change, manage in common a range of deployment choices, and add new and future technologies such as flash, NVMe, cloud, and more – without disruption to business applications.
What’s New
The PSP7 release adds new multi-way and metro mirroring functionality to enhance continuous availability and scale-out resiliency, providing self-healing capabilities to enable non-stop business operations and data access. Customers can lose one system and maintain high-performance and high-availability redundancy, or can lose two systems and still continue operations. This translates into significant cost savings by improving application uptime and lowering the time needed to do restores.
DataCore has also expanded its REST enterprise API integration; included new wizards to simplify and automate hyperconverged infrastructure deployments under VMware vSphere management; and added support for collaboration to orchestrate multiple containers (including Kubernetes) across a cluster of servers. These capabilities make it much easier to automate and simplify interoperability with web and cloud services, enable virtualisation administrators to take full control of storage resources from a single management console, and provide added support for DevOps technologies to accelerate digital transformation.
Finally, PSP7 includes expanded support for the use of Microsoft Azure, Windows 2016 servers and hybrid cloud solutions. DataCore Cloud Replication, available on the Azure Marketplace, makes it simpler for enterprises to take advantage of the scalability, agility and cost efficiencies of the Azure cloud to quickly roll out a secure remote replication site, while maintaining unified storage management between private clouds, on-premises infrastructure, and public clouds.
Transforming Technology Vision into Competitive Business Advantage
This new release continues to build on DataCore’s technology vision of driving multi-core parallel I/O processing to scale up performance and productivity, and sets the foundation for further advancements to its ‘data anywhere’ scale-out technology. For example, the new multi-way mirroring design scales out nodes, adds fail-safe resiliency and uses automation to abstract away the need to know the location of data. These software technologies, in combination with greater automation of data services, are the key to agility and future-proofing infrastructures. This, in turn, helps businesses stay ahead of the competition by cost-effectively meeting today’s more demanding performance, uptime and data locality requirements.
