The document discusses the evolution of AIOps and HPE InfoSight, highlighting its role in transforming infrastructure management through AI-driven operations that enhance efficiency, predictive analytics, and proactive problem resolution. It illustrates how data-centric approaches can optimize resources and improve application performance across hybrid cloud environments. Additionally, the document emphasizes the automatic, self-healing capabilities of HPE InfoSight, leading to significant operational cost savings and increased reliability.

1. AIOps Expo
HPE InfoSight
Katie Fritsch
30th January 2019

2. Evolve Infrastructure
Management

3. Future Ventures – 120 Years of Moore’s Law
3

4. Farming for the Future

5. Data
As one Google Translate
engineer put it, ‘when
you go from 10,000
training examples to 10
billion training
examples, it all starts to
work.’
Data trumps everything.GARRY KASPAROV, DEEP THINKING: WHERE MACHINE
INTELLIGENCE ENDS AND HUMAN CREATIVITY BEGINS

6. R U D I M E N TA R Y C O N S T R A I N E D L E A D I N G - E D G E
More Data = More Insight = More Intelligent Decisions

7. Evolution of AI - Intelligence

8. INTELLIGENCE
CHANGES EVERYTHING

9. T H E STAT E O F I T

10. DataApps
Loading…
You can’t afford an app data gap

11. Source: InfoSight analysis HPE customer base
STORAGE
RELATEDCOMPUTE
NETWORK
STORAGE
VM/CONTAINER/DB
CROSS-STACK
BEST PRACTICES
54%
Non-Storage
46%
Storage
CROSS-STACK
RESOURCE
CONTENTION
CROSS-STACK
INTEROPERABILITY
STORAGE
RELATED
What Causes the App Data Gap?

12. A I - D RI V EN OPERATI ONS A RE REQ UI RED TO EXTRAC T VA LUE
FROM DATA AC ROS S H YB RI D C LOUD
1 Reacting to unexpected problems
Countless hours pouring over logs and files2
3 Vendor support adds to frustration
1 Delays, disruption to applications
Complexity of operations2
3 Human error
Reactive, inefficient IT
Business risk
Challenges to Unlocking Data’s Full Potential

13. Speeding up the
Innovation Cycle

14. INTRODUCING HPE INFOSIGHT

15. Self-Healing Self-OptimizingSelf-Managing
Storage Servers Networking Converged
A U T O N O M O U S A N D C O N T E X T- A W A R E
Intelligent storage is AI-driven
Simplify IT Operations

16. Observing
Learning
Predicting
Acting
Recommending
HPE InfoSight

19. PredictingAnticipating problems and
improving application
performance across all
infrastructure layers
SUSCEPTIBLETO
HYPERVISORISSUE
ALERT

20. Look beyond, and gain insights from, more than just your storage infrastructure
STORAGE
RELATEDC O M P U T E
N E T W O R K
S T O R A G E
V M / C O N T A I N E R / D B
Noisy Neighbor
DETERMINE IF VMS ARE HOGGING RESOURCES FROM ANOTHER VM
Host & Memory Analytics
VISIBILITY INTO HOST CPU AND MEMORY METRICS
Latency Attribution
IDENTIFY ROOT CAUSE ACROSS HOST, STORAGE, OR SAN
Inactive VMs
VISIBILITY INTO INACTIVE VMS TO REPURPOSE/RECLAIM RESOURCES
Top Performing VMs
VISIBILITY INTO TOP 10 VMS BY IOPS AND LATENCY
Manage Beyond the Storage
Cross-Stack Analytics for VMware Environments

21. Data Analysis Case Creation Root Cause Analysis
Problem ResolutionInstalled-Base Prevention
Installed Base
1 2 3
HPE InfoSight
5 4
N O N - B E S T
P R A C T I C E S
S T O R A G E
C O N F I G
I N T E R O P
H O S T , V M ,
N E T W O R K
See Once, Prevent for All
Learning from the installed base

22. Recommending
Intelligent decisions that prevent issues,
improve performance and optimize
resources.

23. Simple Problems Complex Problems
Frequency Pain
Simple and Common
80% of the Issues | 20% of the Pain
R E Q U I R E S A N A L Y T I C S & A U T O M A T I O N
Complex and Unique
20% of the Issues | 80% of the Pain
R E Q U I R E S A N A I R E C O M M E N D A T I O N E N G I N E
S I N G L E SY S T E M I S S U ES CO M P L E X M U LT I - SY S T E M , ECO SY S T E M O R I N T E RO P E R A B I L I T Y I S S U ES
Predictive Analytics that Goes Beyond the Obvious
Pareto Principle for Infrastructure Problems

24. G L O B A L S Y S T E M
T E L E M E T R Y
P E A K T E A M
( D A T A S C I E N T I S T S )
AI Recommendation Engine
C U S T O M E R
E N V I R O N M E N T S
( A U T O M A T I C )
Predictive Models Recommendation
P R I O R I T I Z A T I O N M A T R I X
G L O B A L L Y - T R A I N E D
E X P E R T - T R A I N E D
1 2
3
Architecting the AI Recommendation Engine

25. EXAMPLEEXAMPLE
Move VM3 to Host2 as
Host1 is
oversubscribed
Apply QoS to vol1 to
improve performance on
vol2
EXAMPLE
Capacity will exceed
limits on July 15, add
+1 shelf of 150TB
Improve Performance
P R O A C T I V E LY
Optimize
AVA I L A B L E R E S O U R C E S
Simplify
I N F R A S T R U C T U R E P L A N N I N G
Eliminate the guesswork in managing infrastructure
AI-Driven Approach to Managing Infrastructure

26. Acting
Automation resulting in game
changing benefits and outcomes
SELF-IMPROVING
INFRASTRUCTURE
85%
Improvement in IT
efficiency
EFFORTLESS
MANAGEMENT
79%
Lower storage
operational expenses
TRANSFORMED
SUPPORT
86%
Issues automatically
opened and resolved
Infrastructure is no longer sitting idle and unconscious. It’s self-improving. And this is realized in the fact Nimble Storage has over
99.9999% of measured, proven, and guaranteed availability across its installed base, going back to the first array that ever shipped and
across all OS, models, configurations. Intuition says infrastructure gets less reliable as it ages, Nimble has flipped that paradigm with
InfoSight.

27. Customer Impact
Predictive Support
Automation
Cloud-Based AI Platform
Predictive Analytics Engine Global Learning Recommendation Engine
Cross-Stack Telemetry
StorageNetworkCompute
Preemptive
Recommendations
Continuous
Improvement
Proactive
Management
Cross Cloud
Data View
Cross Stack
Analytics
Leading AI for Hybrid Cloud
Collecting and Analyzing Millions of Sensors per Second

28. Paving the Path for
AUTONOMOUS
Predicting
Recommending
Predicting
Autonomous
Recommending
Predicting

29. Observing
Learning
Predicting
Acting
Recommending
HPE InfoSight
R E A L I Z I N G A U T O N O M O U S
HPE Nimble
HPE 3PAR
HPE
Servers*
*HPE ProLiant servers, HPE Synergy compute modules & HPE Apollo systems (Gen10, Gen9, and Gen8 with iLO 5
and iLO 4)
InfoSight was Born2 0 1 0
InfoSight for Nimble Storage
A p r 2 0 1 5 Nimble Per VM Monitoring
M a r 2 0 1 7 HPE Acquire Nimble Storage
InfoSight for 3PARN o v 2 0 1 7
J a n 2 0 1 9 InfoSight for HPE Servers*
A u g 2 0 1 8 Cross-Stack Analytics for 3PAR
A p r 2 0 1 7 AI Recommendation Engine
S e p t 2 0 1 8 Performance Insights for 3PAR
N o v 2 0 1 8 Nimble Workload Planner
N o v 2 0 1 8
Nimble Full-Stack
Recommendations
InfoSight Evolution

30. HPE InfoSight Expands to Server Platforms
0
HPE InfoSight brings artificial intelligence to HPE Servers*
Global Learning
• Server Wellness Dashboard
• Global inventory of servers
• Performance and utilization
graphs
Recommendation Engine
• Recommendations to eliminate
performance bottlenecks on
servers
Predictive Analytics
• Data analytics for server security
• Predictive data analytics for parts
failure
*HPE ProLiant servers, HPE Synergy compute modules & HPE Apollo systems (Gen10, Gen9, and Gen8 with iLO 5 and iLO 4)

31. Storage Servers Networking Converged
A U T O N O M O U S A N D C O N T E X T- A W A R E
T O B E A N N O U N C E D
HPE InfoSight Coverage of the HPE Portfolio

32. ADVANCED VIRTUALIZATIONS
DASHBOARDS
BLACKLISTING
MACHINE LEARNING
GLOBAL LEARNING
CASE AUTOMATION
CLOUD-BASED ANALYTICS
PRE-EMPTIVE RECOMMENDATIONS
Storage Servers Networking Converged
AI for Infrastructure
Customer Portal
HPE InfoSight Sees and Predicts Behind the Scene

33. Breadth of
Telemetry
Awareness
Beyond
Storage
Applied Data
Science and
Machine Learning
Preemptive
Recommendations
− Trillions of data points
− Global visibility
− Fine-grain detail:
• performance
• capacity
• bandwidth
− End-to-End Stack Visibility
− See once, benefit all
− Proactive Fault Detection
− Proactive recommendations
that improve your
environment
− Faster Time to Resolution
− Transformed support and
management experience
− Predict and resolve issues
automatically
− Forecast and plan with
confidence
− Blacklist upgrades for
previously observed issues
HPE InfoSight
4 Areas of Unique Value

35. Thank You
ENGAGE WITH HPE STORAGE
hpe.com/stoarge
@HPE_Storage
facebook.com/HPEStorage
search HPE Technology
#hpestorage
Katie.Fritsch@hpe.com