![]() ![]() Point where they are more automated and more intelligent?Īutomated infrastructure stems from the variety of different components in the environments Helped change the nature of systems’ dependability, getting closer to that Where do you think we are on that automated support spectrum? How has HPE InfoSight We’re not all the way to fully automated, lights-out, ![]() Long since we were dealing with red light-green light types of IT support scenarios,īut we’ve come a long way. Through the signatures so that customers would be preemptively inoculated from So, we evolved this culture of identifying problems,Ĭreating signatures for these problems, and then running everybody’s data In fact, we would fix it preemptively so customers would And then we would rapidly fix that problemįor every other customer. Our goal was for aĬustomer to see a problem only once. We prided ourselves on providingĪ really strong support experience to the customer.Ī problem would surface, we would work with the support team. Score was 86, which is even higher than Apple. Measurement of how satisfied customers are with our products. Part of the proof of that was incredible Net Promoter scores (NPS), which is this independent Support team right from the beginning prided themselves on providing Partnership that our support organization has had with the HPE InfoSight team. Rapid capability to dynamically impact what’s going on from the data proved so Varun, was how quickly you can take the analytics and apply them. Something that really impressed me when I first learned To use more sophisticated techniques in order to make actionable recommendations. Quantitative in nature and multidimensional. That take longer to solve and require a look at time series and telemetry that’s Tasks that can be automated with simple rules or SQL statements, you uncover problems Once you’ve cleaned up the Pareto curve of all the simple When it comes to AIOps, dependability, and reliability of platforms and systems?Īllowed us to spend time investigating more interesting and advanced problems, How has HPE InfoSight provided you with a foundation to do increasingly more Solution and wanted us to expand the scope into far more than just storageĭescribing what this was originally intended for. And so, we expanded the capability to look into that. That led to people wanting to understand how their hypervisor was doing, forĮxample. That people wanted to expand this envelope of understanding that we had created Gave people a much broader idea of the issues they were facing. Reason our customers loved it - followed by our competitors - was that it Of features across all of our competitors. Our customers loved it, our competitorsįound out that our customers loved it, and it basically spawned an entire set They say that, “imitation is the sincerestįorm of flattery.” And that was proven true, too. Your expectations? How far has this now come? Through a cloud model, did the scope and relevancy of what HPE InfoSight did exceed So the realization was that if the databases becameĪvailable, we could do a lot more with that data.Īdvantage of that large data capability and the distribution of analytics And then we couldĭo other interesting things using data science such as workload planning fromĪll of that data. Just scan once, we could put everyone’s data into one place, look at it, and discover Problem until then was that a database that could store this amount of dataĬheaply was just not available, which is why people would just do the one-timeĮnabler was that a new database became available. In a database and actually look for problems over time in areas wider than justĪ single use, we could come up with something very interesting. If you had had any kind of software crash, that’s what call homeįound that if instead of just scanning the data one time, if we could store it Problems that the machine was having right then. It was basically to look at the data one time and try and find But then we realized that the call home data was used to do very ![]() Home were already in place when we started Nimble, and that’s what we had Primary motivation for creating HPE InfoSight? What did you have in mind when The discussion is moderated by Dana Gardner, Principal Analyst at Interarbor Solutions. General Manager for InfoSight at HPE and founder of Nimble Storage, and David Adamson, Machine Learning Architect at HPE InfoSight. Learn more about the latest IT operations solutions that help companies deliverĪgility and edge-to-cloud business continuity, we’re joined by Varun Mehta, Vice President and Read a full transcript or download a copy. In making IT resiliency better than ever. Learning architect, to examine the expanding role and impact of HPE InfoSight Please welcome a Nimble Storage founder, along with a cutting-edge machine Storage optimization, HPE InfoSight has emerged as a broad and inclusive capabilityįor AIOps across an expanding array of HPE products and ![]()
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