Get More Done in Less Time: Using Analytics to Automate and Simplify IT Operations
Most enterprise storage vendors now offer some level of Artificial Intelligence for IT Operations (AIOPs) to enable a reduction in downtime. However, businesses today need more. They need to get more done in less time. Real-time and predictive analytics can help them achieve this goal by enabling data center infrastructures to autonomously optimize themselves for application availability, performance, and total cost of ownership.
Telemetry Data is the Foundation for Predictive Analytics
Many enterprise storage arrays transmit not just fault data but extensive additional telemetry data about workloads back to the vendors. This data includes IOPS, bandwidth, and latency associated with workloads, front-end ports, storage pools, and more.
Most vendors evaluate the collected fault data and advise customers how to resolve problems, or they remotely log in and resolve problems for their customers. Some vendors apply predictive analytics and machine learning algorithms to data collected across the entire installed base to identify potential problems and optimization opportunities for each array in the installed base.
Visionaries Pursue Autonomous Infrastructure Optimization
Most enterprise storage vendors now offer some level of Artificial Intelligence for IT Operations (AIOPs). Most vendors approach AIOps from a support perspective that focuses on reducing application downtime by exposing component failures and helping troubleshoot performance problems. Some vendors have added predictive and cross-stack analytics to their support tools to reduce application downtime further. These advances can have a meaningful impact on availability and data center operations.
However, the end goal of predictive analytics for the more visionary providers goes beyond eliminating downtime. Their goal is to enable data center infrastructures to autonomously optimize themselves for application availability, performance, and total cost of ownership based on the customer’s priorities.
Vendors who commit to this path and execute better than their competitors create real value for their customers. The benefits include:
- Measurably reducing downtime
- Avoiding preventable downtime
- Optimizing application performance
- Significantly reducing operational expenses
Predictive Analytics Features That Matter
Analytics with a predictive component aren’t just about making better business and technical decisions with higher levels of visibility into data. It’s also about freeing you from worrying about the infrastructure to begin with. AI-enhanced tools can increase productivity, drive virtual workloads better, and enable you to focus on your strategic business priorities rather than constantly attending to infrastructure.
Tune In for a Tintri Talk In
“Tintri is hosting a Talk In session that delves deeper into how analytics – when used to its full extent – can reveal information that might not be easy to identify but can be the difference maker for both current as well as future business operations,” said Shawn Meyers, field CTO, Tintri. “Ken’s expertise with storage technologies industry-wide provides him with a unique perspective on a range of analytics offerings and what customers find most valuable.”
The Tintri Talk In Session, “Get More Done in Less Time: Using Analytics to Automate and Simplify IT Operations,” will be hosted by Shawn Meyers and Ken Clipperton on Jan. 12 at 9am PT / 12pm ET / 5pm GMT. They will explore the background behind storage analytics and the business benefits that can be achieved with real-time on-array and cloud-based analytics. Click here to register.
Registration link: https://mkt.tintri.com/talk-in/predictive-analytics.
For more information on Tintri’s Talk In Series, visit https://tintri.com/talk-in/.
The Data Center Intelligence Group (DCIG) empowers the IT industry with actionable analysis. DCIG analysts provide informed third-party analysis of various cloud, data protection, and data storage technologies. DCIG independently develops licensed content in the form of TOP 5 Reports and Solution Profiles. More information is available at www.dcig.com.
Tintri, a wholly owned subsidiary of DataDirect Networks (DDN), delivers purpose-built solutions to store and manage virtual machines in enterprise data centers. Thousands of customers have saved countless administrative hours using Tintri’s innovative technologies. Explore the Tintri portfolio of solutions at https://www.tintri.com.
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