AI Recommendation Engine - CloudFest
Transcript of 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 [email protected]
LinkedIn: thomas-meier
For further information visit us at the -
HPE Booth ID A06
Thank you
17