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Need for speed? Bridge the app data gap with predictive analytics

Mark Lazarus, Director of Technology, Nimble Storage | June 15, 2016
With application workloads evolving and big data coming of age, enterprises need infrastructure that have the ability to deliver both low latency (data velocity) and high density cost effective storage.

This vendor-written piece has been edited by Executive Networks Media to eliminate product promotion, but readers should note it will likely favour the submitter's approach.

Applications are the core of the modern organisation. Today's businesses rely on hundreds, if not thousands, of applications to power processes across the organisation, from sales to customer acquisition to operations. Gartner recently predicted that worldwide spending on enterprise application software would surpass US$201 billion by 2019 - that's a substantial amount, and goes to show how fundamental an impact applications have on business outcomes.

These applications depend on rapid, uninterrupted access to data in order to function optimally. When the delivery of data to applications is disrupted, it can hamper productivity and negatively impact business outcomes. A research study conducted by Nimble Storage on 3,000 IT decision-makers and business application users globally revealed that 47 percent of business users say they waste more than 10 percent of their day waiting on applications. Interestingly, respondents in Southeast Asia were also more demanding of and affected by their technology infrastructure than their US, Australian, UK and German counterparts with 84 percent indicating that these delays significantly affected their ability to perform at their best.

With application workloads evolving and big data coming of age, enterprises need infrastructure that have the ability to deliver both low latency (data velocity) and high density cost effective storage.

Ensuring data velocity is critical to maintaining a competitive edge as enterprises are now entirely dependent on data to improve customer interactions, accelerate product development and run the back office. Delivery of data to applications relies on not only storage, but compute and network as well.

In the past, enterprises were forced into making a choice between performance or capacity, with the different arrays providing specific benefits for a business' storage infrastructure. While All Flash arrays delivered absolute performance for applications requiring deterministic low latency, Adaptive Flash arrays (arrays built from the ground up using both flash and disk) delivered optimised performance for mainstream applications. The good news is enterprises today no longer have to compromise. The evolution of flash enables the cost effective acceleration of every application - however, the question remains, is fast flash enough?

Simply throwing all flash storage at the problem addresses only one aspect of the infrastructure. So how can businesses ensure there are no slowdowns and delays in data delivery? The secret lies in predictive analytics across the infrastructure stack.

Identifying the app-data gap

At Nimble, we refer to the delay between the application and the speed of data delivery, as the app-data gap. While there are many potential causes for the app-data gap, organisations should first look at the complexity of their infrastructure stack.

 

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