Storage optimization isn’t just a data problem, it’s an application issue if storage latency degrades app performance. As many as 61 percent of companies say faster app and IT service delivery are significant initiatives. 1 Yet core to both of those goals is data availability, and legacy storage can be a hindrance that leads to costly application downtime if storage reliability isn’t addressed.
It was server insufficiency effecting compute and storage capacity that contributed to the July 2018 Amazon Prime day glitches that resulted in performance issues that left consumers unable to process their transactions. A mad scramble to manually add servers to meet traffic demand ensued, but the damage had already been done.2
Fix the App Data Gap Problem
The application impact of storage latency has immediate consequences as users expect best-in-class performance to support workflows. Unfortunately, too many companies fall short of reliable storage volumes. Half of employees say they lose 10 percent of their workday waiting for software to load — and IT decision-makers lose as many as 30 minutes a day because of application delays. As many as 40 percent of business users say the avoid using application that runs too slowly.3
So what can be done to prevent these issues? Companies should look to optimize storage volumes for application reliability by identifying storage performance issues before they can impact users. Typically, this would be a daunting challenge as 54 percent of storage problems exist outside of storage, hiding within configuration, interoperability, host, compute, VM and other issues — all of which can be costly to mitigate manually.4 Today, new storage innovations powered by artificial intelligence (AI) software are automating the process. For example, HPE InfoSight is AI software that’s integrated within HPE Nimble Storage, powered by Intel® Xeon® Scalable processors. It makes easy work of storage optimization by leveraging machine learning and predictive analytics to:
- Predict and prevent downtime: Insights from analytic data is leveraged to find and fix 86 percent of storage problems before they occur — including problems that arise outside of storage, within the infrastructure stack.4
- Automate support: Level one and two support problems are entirely automated, requiring no manual intervention, greatly reducing the time IT staff needs to spend on storage tasks. Level three problems that are elevated can be diagnosed faster because of analytics and global visibility into storage volumes.
With the cause of storage bottlenecks controlled, data availability in excess of 99.9999 percent is assured with HPE InfoSight, accelerating application performance.5 When combined with HPE Nimble Storage All Flash Arrays configured to deliver 150 percent better price-performance and 65 percent faster speed than previous generation offerings, application performance is guaranteed.6
Listen to the podcast to learn how KraftCPAs leverages HPE InfoSight predictive analytics built into HPE Nimble Storage to simplify and consolidate storage volumes — and how ePlus, a Hewlett Packard Enterprise Platinum Partner, advances flash ROI.
1 Frost & Sullivan, “Demand More from Data Center Management Services: Find a Provider that Brings Flexibility, Innovation, and Cloud-like Cost Efficiencies,” [executive brief sponsored by HPE], Aug 2016.
2 CNBC, “Internal documents show how Amazon scrambled to fix Prime Day glitches,” July 19, 2018.
3 HPE, “Mind the Gap: How Application Delays Affect Company Performance,” Nov 2017.
4 HPE, “HPE InfoSight,” [brochure], March 2018.
5 ESG, “Assessing the financial impact of HPE InfoSight predictive analytics,” Feb 2018.
6 HPE, “HPE Nimble Storage: Bigger, faster flash storage. But is it better?” May 7, 2018.
Hewlett Packard Enterprise specializations include Platinum: Converged Infrastructure, Networking.
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