ai recommendation engine - cloudfest

AI Recommendation EngineThe first step to an Autonomous Data Center

Thomas Meier, Chief TechnologistMarch, 14th 2018, Rust

Preemptive Recommendations in Use Everyday

Rerouting

The right decisions that optimizes my time….

Architecting the AI Recommendation Engine for the Data Centre

3

Global System

Telemetry

PEAK Team

(Data Scientists)

AI Recommendation Engine

CustomerEnvironments(Automatic)

Predictive Models Recommendation

Prioritization Matrix

Machine-Learned

Expert-Informed

1 2

3

There is no one cause… and it’s too complex for humans to fix

Source: InfoSight analysis HPE customer base

Cross-stackBest Practices

54%

Non-Storage

46%

Storage

Cross-stack Resource Contention

Cross-stack Interoperability

StorageRelated

Storage

Network

Compute

VM/Container/DB

Storage

Network

Compute

VMs/DBs/Apps

Cross-Stack Analytics for VMware Environments

Latency AttributionIdentify root cause across

host, storage, or SAN

Noisy NeighborDetermine if VMs are hogging

resources from another VM

Host & Memory AnalyticsVisibility into host CPU

and memory metrics

Top Performing VMsVisibility into Top 10 VMs

by IOPs and Latency

Inactive VMsVisibility into inactive VMs to

repurpose/reclaim resources

Diagnoses Abnormal Latency with VMVision

HPE InfoSight VMVision

La

tency (

ms)

0

20

40

From ToJan 24, 2017 March 20, 2017

Monday, March 6, 2017

24 Jan 30 Jan 4 Feb 7 Feb 11 Feb 15 Feb 19 Feb 22 Feb 26 Feb 1 Mar 4 Mar 7 Mar 10 Mar 14 Mar 16 Mar

Host Network Storage

Latency Spike

Latency Host 0.3 Network 0.13 Storage 0.24

Diagnoses Abnormal Latency with VMVision

VDI Sharepoint

Datastore: esxi289-1x

I/O Total: 5,278,000

Avg Latency: 23.31msec

La

tency (

ms)

0

20

40

From To

Host Network Storage

Latency Spike

Latency Host 0.3 Network 0.13 Storage 0.24

Jan 24, 2017 March 20, 2017

Monday, March 6, 2017

24 Jan 30 Jan 4 Feb 7 Feb 11 Feb 15 Feb 19 Feb 22 Feb 26 Feb 1 Mar 4 Mar 7 Mar 10 Mar 14 Mar 16 Mar

HPE InfoSight - AI for the Data CenterCollecting and Analyzing Millions of Sensors per Second

Customer Impact

Predictive Support Automation Proactive Management Continuous ImprovementPreemptive Recommendations

Cloud-Based AI Platform

Predictive Analytics Engine Global Learning Recommendation Engine

Cross-Stack Telemetry

StorageNetworkCompute

HPE InfoSight

9

An architectural advantage that keeps getting better

1

2

3

4

Architected for analytics

Building on a Unique and Differentiated Approach

Problems across the infrastructure stack go away

Awareness beyond storage

1

2

3

4 Storage

Network

Compute

VM/Container/DB

Building on a Unique and Differentiated Approach

Infrastructure gets smarter and learns to predict

Applied machine learning

and data science

1

2

3

4

Building on a Unique and Differentiated Approach

1

2

3

4 Preemptive recommendations

Making decisions and freeing IT

P Health severity impact scores

P Automated cases with resolution

P Accurate predictive forecasting

P On-demand performance correlations

Late

ncy (

ms)

0

20

40

Host Network Storage

Host 0.3 Network 0.13 Storage 0.1

Building on a Unique and Differentiated Approach

14

HPE InfoSight: AI for the Data CenterExtending HPE InfoSight Across HPE

ServersStorage Networking Converged

Self-Managing Self-Healing Self-Optimizing

Paving the Path for

Autonomous

Predicting

Recommending

Predicting

Autonomous

Recommending

Predicting

16

Thomas MeierChief Technologist

Data Center & Hybrid IT

Hewlett Packard GmbH

Karl-Hammerschmidt-Str. 36

85630 Dornach

Phone +49 162 268 23 68

E-Mail thomas.meier@hpe.com

LinkedIn: thomas-meier

For further information visit us at the -

HPE Booth ID A06

Thank you

17