Gain Real-Time Infrastructure With Automated Data Orchestration
Posted in tech
By Robert Wipfel, Primary Data Principal System Architect
Primary Data recently announced the launch of DataSphere, “the first enterprise data orchestration software platform to automate IT data management and storage services.” Sure, there are plenty of products on the market that enable orchestration or automation. However, DataSphere is the first to automate orchestration continually, across a global dataspace spanning all storage types and vendors. Let’s examine the impact this can have on enterprises.
The Chain Game: Traditional Automation and Orchestration
Automation and orchestration might seem synonymous, but they are actually discrete functions. AHEAD has a great article describing the differences. Under the traditional model, IT can deliver infrastructure as a service, by automating each step in a workflow, and then using orchestration tools to integrate the different steps.
For example, to enable end users to order Applications as a Service, IT would use separate tools to automate the instantiation of a VM on a server, the configuration of network interfaces, the allocation of capacity on a storage device, and the installation of the application on the VM. IT would then layer orchestration tools to chain these automated operations together, with different chains required for different silos.
All Together Now: Holistic Operations and Orchestration
DataSphere unites storage within a single global dataspace, while automating the orchestration of data across silos for the following operations:
- Data Provisioning across storage systems
- Data Migration between storage systems
- Monitoring of data
access to storage systems
- Storage Services, such as clone offloading and share-level snapshots
Unlike the traditional layered approach to orchestration, that would chain each of these as discrete IT operations, DataSphere continually performs all of these operations at the same time. This unification of IT operations eliminates the need to coordinate and maintain multiple automation and orchestration tools, greatly reducing complexity. Perhaps more importantly, it enables DataSphere to continually orchestrate data according to business objectives, enabling your data to be accessed and stored on storage most suited for the business value of the data.
Data-Aware Orchestration Within Automated Remediation
DataSphere’s holistic approach to automated data orchestration enables enterprises to manage large amounts of data with ease and more efficiently than possible with traditional systems. Since DataSphere becomes a single source for orchestrating the monitoring, provisioning, and movement of data, it gives enterprises the ability to manage data according applications’ Service-level Objectives that define data’s required performance, protection and price policies.
DataSphere continually analyzes the service that infrastructure is providing data and automates remediation whenever data’s needs aren’t being met. This capability enables IT to stop worrying about maintaining different types of storage for all kinds of applications and to instead focus on ensuring that data has the resources it needs to meet its requirements.
DataSphere simplifies storage resource management by enabling IT to manage storage as globally available pools of resources instead of disparate islands of data. With DataSphere, IT can add resources of any type, from any vendor, on demand, and have DataSphere redistribute data to the new resource. This allows IT to reduce overprovisioning, which can cut storage costs in half—a benefit that will win any IT team great appreciation from their CIO, CTO and CEO.
A Real-Time Infrastructure Solution
“Agility” is one of the buzzwords we all hear these days, and for good reason considering how fast our world moves, and how quickly leading businesses have to pivot to stay in front. Agility is the ability to make changes and respond to new needs quickly – and there is no timeframe faster than real time.
Looking at how IT can choose solutions that enable greater agility, Gartner defines “Real-Time Infrastructure (RTI) as “an architecture that drives dynamic optimization of the runtime services and infrastructure by mapping the demand for services to the optimal supply of resources.” DataSphere drives the dynamic optimization of data by mapping the demand for performance, protection and price levels to storage supply.
Data is automatically provisioned to the ideal storage to meet its requirements. Service interruptions that might be caused by noisy neighbors are handled automatically, in real-time, without impacting applications. When storage supply runs low, adding resources is much easier, as storage added to DataSphere becomes part of pooled resource that are instantly available to applications, without the need for manual migrations. With continual optimization, supplying storage to meet data demands gets a whole lot easier and more intelligent, finally ensuring enterprises are using the best storage resource available to meet the changing needs of their business.