Home Datacenter HPE INFOSIGHT: The Global Intelligence Engine

HPE INFOSIGHT: The Global Intelligence Engine

by Roger Lund

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.

  1. Data Analytics
  2. Case Creation
  3. Installed-Base Prevention
  4. Root Cause analysis
  5. 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

You may also like