ai recommendation engine - cloudfest
TRANSCRIPT
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AI Recommendation EngineThe first step to an Autonomous Data Center
Thomas Meier, Chief TechnologistMarch, 14th 2018, Rust
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Preemptive Recommendations in Use Everyday
Rerouting
The right decisions that optimizes my time….
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Architecting the AI Recommendation Engine for the Data Centre
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Global System
Telemetry
PEAK Team
(Data Scientists)
AI Recommendation Engine
CustomerEnvironments(Automatic)
Predictive Models Recommendation
Prioritization Matrix
Machine-Learned
Expert-Informed
1 2
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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
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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
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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
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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
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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
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HPE InfoSight
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An architectural advantage that keeps getting better
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2
3
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Architected for analytics
Building on a Unique and Differentiated Approach
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Problems across the infrastructure stack go away
Awareness beyond storage
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2
3
4 Storage
Network
Compute
VM/Container/DB
Building on a Unique and Differentiated Approach
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Infrastructure gets smarter and learns to predict
Applied machine learning
and data science
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2
3
4
Building on a Unique and Differentiated Approach
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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
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HPE InfoSight: AI for the Data CenterExtending HPE InfoSight Across HPE
ServersStorage Networking Converged
Self-Managing Self-Healing Self-Optimizing
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Paving the Path for
Autonomous
Predicting
Recommending
Predicting
Autonomous
Recommending
Predicting
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Thomas MeierChief Technologist
Data Center & Hybrid IT
Hewlett Packard GmbH
Karl-Hammerschmidt-Str. 36
85630 Dornach
Phone +49 162 268 23 68
E-Mail [email protected]
LinkedIn: thomas-meier
For further information visit us at the -
HPE Booth ID A06
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Thank you
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