HPE INFOSIGHT: – vBrainstorm.com

HPE INFOSIGHT: The Global Intelligence Engine

Coming to you live from California at the Tech Field Day event, #TFDx, @HPE_Storage , #NthSymp2019

Today’s Reality for IT.

Infrastructure complexity

Never-Ending Fire Fighting
Pressure to lower cost
Pressure to do more

AI for autonomous Infrastructure

Self-managing
self-healthing

self-optimizing

Intelligence is Key for Infrastructure management.

More than 90% of problems arise from the above the storage layer,

HPE Infosight: Industries most advanced ai for infrastructure

Differentiated Impact
Predictive support
AI-driven operations

intelligent infrastructure
Cloud-based platform
Predictive analytics engine

Global learning
Recommendations engine
Cross-stack Telemetry

VMware

Storage, Compute, HCI,dCHI.

AIOPS For the Hybrid Cloud

For the App Owner, VM Admin, Cloud Admin, Devops, and Infa Admin.

The Cloud-based AIOps Platform sites on top of the stack.

HPE infosight cover agress the HPE portfolio

New support the the following:

primera, proliant, synergy, splivity, and dHCI.

See once, prevent for all.

Data Analytics

Case Creation
Installed-Base Prevention
Root Cause analysis

Problem resolution

HPE Infosight Prevented 600 systems from ESXI issues.

Issue: Massive application slow down.

Impact 10X lower throughput and latency

Diagnostics

Illegal iSCSI command in ESX created huge performance impact after a nimbleOS upgrade. Rapidly create a workaround until the vendor fixed the bug.

Prevention

600 systems that would have experienced the issue were blacklisted.

AI-Drive Operations takes out the guesswork

Improve Performance
- example apply QOS
Optimize
- example move VM’s
Simplify
- Capacity reaching limits, add a shelf of disk on a date.

AI Performance Recommendation Engine.

Can help you by highlighting a area of higher vs low impact.

Can zoom into time zone to get more detail.

Resource planner

Resource planner models resource requirements based off of workload, cpu, iops.

On-Premise Workload Insights.

Performance monitoring and analysis
Evenly distributed workloads based on the saturation of each array
Performance optimization

Application Tagging.
Monitored in the cloud, deployed onsite.

Infosight for HPE Simplivity

Visitability
Predictive analytics

VM resource utilization
wellness

This is part of the Tech Field Day Exclusive with HPE Storage 2019

https://techfieldday.com/event/tfdxhpe19/

Roger Lund

HPE has announced support for 3PAR storage with its HPE InfoSight cloud analytics product, acquired with Nimble, along with new updates to InfoSight focused on proactive recommendations. Even before the conference officially begins, HPE is releasing announcements that customers can dig into more during the Discover event in Madrid this week.

As promised earlier, the InfoSight support for 3PAR is coming to all existing customers with active support contracts on their 3PAR arrays. Since 3PAR already had a rich set of telemetry built into the platform, the main hurdle of integration was letting the InfoSight Data Scientists loose on the raw data to map and make sense of it. HPE leveraged existing code and analytical models against the 3PAR data to do this quickly [HPE completed the Nimble acquisition just 7 months ago].

The first iteration of InfoSight for 3PAR includes three feature sets:

analytics between the storage and virtualization platform to find root cause of problems that existing between storage and virtual machines
a unified cloud portal combining the HPE StoreFront Remote capabilities with InfoSight for trending, capacity predictions and health checks
the foundations of predictive support, which in the future will eliminate most tier 1 and 2 support cases, instead routing cases directly to level 3 (aka. adoption of the Nimble Storage support model for 3PAR)

Not resting on past accomplishments, the InfoSight team also has a new set of capabilities it is unleashing to customers – Preemptive Recommendations. For these, HPE is drawing insights from the data it is getting from the storage and virtualization platform to make recommendations that prevent issues, improve performance and optimize the environment.

To a large degree, what HPE is talking about in preemptive analytics in InfoSight sounds a lot like the problems VMware is trying to solve in vSphere with proactive recommendations from vRealize Operations Manager (vROPS). Where these recommendations can potentially shine in InfoSight are in the deeper insights that correlate between the hardware and the software since InfoSight has deeper visibility into that platform. Clearly, all tech companies are realizing that there is tremendous value in machine learning applied to IT support.

HPE is using machine learning and expert defined conditions to generate preemptive recommendations. Since the learning engine is cloud based, the refinement and self-learning should power a number of wins for customers as the install-base widens and customers adopt this support tool, making it difficult to replicate for on-premises prediction engines.