Now that virtualization is a must-have across all modern IT shops, data center operations require comprehensive, real-time insights in order to manage these high-performance production environments. First-generation operational analytics tools fall short. They are based on static or some form of dynamic thresholds derived from trending and averaging analytical approaches. But in today’s dynamic, high-velocity environments, false positives are far too common and important information is lost in the noise. Next generation analytic tools should leverage self-learning models powered by machine learning in order to deliver personalized, faster, more accurate operational insights. While some emerging tools are leveraging self-learning models to identify the anomalies in the individual object behaviors based on reported statistics. However capturing the anomalies alone of individual metrics is not sufficient enough for two major reasons: • First, it does not capture the interplay between the data and therefore learn those behaviors (such as IOPS, latencies, CPU). • Second, it does not provide the actionable insight but rather identifies some anomaly that may or may not require attention. Learn now next generation approach is addressing this gap using machine learning principals that incorporate the notion the topology and the interplay between the data to to derive root causes in order to identify actual issues and provide meaningful recommendations. Join industry analyst Jason Bloomberg, president of Intellyx, who will discuss the challenges facing IT operations today and why advanced machine learning, graph technology, and topological data analysis are now critical elements needed by today’s IT operations analytics technology. Next, Jim Shocrylas, Product Manager, SIOS Technology will explain how next-generation machine learning is enabling IT analytics tools to help IT managers resolve performance issues, ensure resource optimization, and meet service level agreements for mission critical applications in VMware environments. He will then walk through common use cases for the practical application of this advanced technology.

1. Unleashing the Power
of Machine Learning
Faster, More Accurate IT
Operations Analytics
Jason Bloomberg
President
jason@intellyx.com
@theebizwizard

2. About Jason Bloomberg
• President of industry analyst firm
Intellyx
• Agile digital transformation thought
leader
• Write for Forbes, several blogs, biweekly
newsletter the Cortex
• Buy my latest book,
The Agile Architecture
Revolution
Copyright © 2015, Intellyx, LLC2

3. What is Digital?
Customer preferences & behavior
drive technology choices
Range of technology touchpoints is exploding
Copyright © 2015, Intellyx, LLC3
PhotoCredit:RevolWebhttps://www.flickr.com/photos/revolweb/

4. Customer Needs Begin
with the Device
• Enterprises must connect devices to back-end
technology
• Must perform every time, in real-time
Copyright © 2015, Intellyx, LLC4
Everything is in flux
PhotoCredit:WilliamMurphyhttps://www.flickr.com/photos/infomatique/

5. IT Ops – The Good Old
Days
• Physical servers,
networks, and everything
else
• Well-defined perimeters
• Fixed, tightly coupled
integrations
• Infrequent, carefully
planned changes
• Formal processes
• Centrally managed,
internal ops teams
Copyright © 2015, Intellyx, LLC5
PhotoCredit:SeattleMunicipalArchiveshttps://www.flickr.com/photos/seattlemunicipalarchives/

6. Welcome to Today’s
Digital World!
• Virtual, software-defined
everything
– Servers, networks, etc.
• “Borderless” applications
– Perimeters of little use
• Integration via
loosely-coupled APIs
• Frequent, “continuous”
change
• Velocity trumps formal processes
• DevOps driving cross-organizational team
structures
Copyright © 2015, Intellyx, LLC6
PhotoCredit:HighwaysEnglandhttps://www.flickr.com/photos/highwaysagency/

7. The Frictionless
Enterprise
• Technology extends beyond
the corporate perimeter
• Customers demand high-
performance, end-to-end
capabilities
• Business and technology
ecosystems become central
organizing principle
Copyright © 2015, Intellyx, LLC7
Reducing friction for
borderless enterprises
PhotoCredit:RyAwesomehttps://www.flickr.com/photos/ryawesome/

8. IT Operations
Management Challenges
• Digital performance is an
end-to-end, top-to-bottom
challenge
• Network, hardware,
physical & virtual
infrastructure,
containers/runtime, and
applications must all
perform
• Everything is always
subject to change
Copyright © 2015, Intellyx, LLC8
Manage all the Things!
PhotoCredit:IntelFreePresshttps://www.flickr.com/photos/intelfreepress/

9. Traditional Ops
Management Falls Short
• Static thresholds
– Unrealistic, lead to
alert storms
• Siloed management
– Leads to war room
fingerpointing, long
delays
• “What changed” root
cause analysis
– Doesn’t work in
environments of
frequent, rapid
change
Copyright © 2015, Intellyx, LLC9
PhotoCredit:LadyDragonflyhttps://www.flickr.com/photos/ladydragonflyherworld/

10. Machine Learning
• Recognize complex
patterns of behavior
that evolve over
time
• Increasingly
intelligent anomaly
detection
Copyright © 2015, Intellyx, LLC10
PhotoCredit:PaulInkleshttps://www.flickr.com/photos/dumfstar/
Price of Admission for Modern IT
Ops Management

11. SIOS iQ’s Innovative Approach:
Graph Technology & Topological
Behavioral Analysis
• Correlate data across
large numbers of
nodes
• Cascading
dependencies
• Sophisticated
recommendations for
addressing complex
issues
Copyright © 2015, Intellyx, LLC11
PhotoCredit:NoahSussmanhttps://www.flickr.com/photos/thefangmonster/

12. Jason Bloomberg
President, Intellyx
jason@intellyx.com
@theebizwizard
Send email NOW to sios@intellyx.com to
download this presentation
Thank You!

13. http://us.sios.com
SIOS iQ™
IT Operations Analytics Platform
for Virtualized Environments
Jim Shocrylas, Director, Product Manager
SIOS Technology Corp.
Copyright @ 2015 SIOS Technology Corp. All rights reserved.

14. http://us.sios.com
Understanding and Managing
Complex Virtual and Cloud Environments
• Identifying performance root cause
• Predicting the impact of change
• Maintaining resilience
• Planning for growth
14
High complexity imposed by hidden
inter-relationships of a large number
of objects & shared resources
Significant Challenges Exist
Copyright @ 2015 SIOS Technology Corp. All rights reserved.

15. http://us.sios.com
Too Much Data, Not Enough Insight
• Key Information Lost in Noise
‒ Alert storms, unnecessary data
‒ Too many false positives
‒ Subtle issues go unnoticed
• Limited Insights
‒ Lacking automated integration and
synthesis of broad data sources
‒ Finger pointing across domains
• Falls Short of Root Cause Identification
‒ Misses correlation of events to behavior to
identify or predict “real” reason for bad behavior
‒ No holistic recommendations for correction
• Too Many Different Answers
in Too Many Places
‒ Conflicting answers to problems across multiple
domains and tools
Copyright @ 2015 SIOS Technology Corp. All rights reserved.
15
Reports, Management Tools, Application Monitoring
• ALERT
Data “Noise”

16. http://us.sios.com
What are Customers Doing Today?
• “Siloed” view
‒ Misses complex relationships
‒ Requires multiple tools
• Complex, manual
‒ Difficult setup
‒ Significant training
‒ Deliver data not intelligence
‒ Require ongoing manual
threshold adjustment
• Require specialized skills
‒ Highly skilled IT staff to
interpreting results & implement
a solution
Copyright @ 2015 SIOS Technology Corp. All rights reserved.
16
Monitoring & Reporting
Applicat-
ion
Monitoring
Host
Monitoring
Network
Monitoring
Storage
Monitoring

17. http://us.sios.com
SIOS iQ: One Touch to Clarity
• A Next Generation IT Analytics
Platform
‒ Consolidates IT Data Sources
‒ Provides Critical Intelligence
and Information at a Glance
‒ Industry Leading Simplicity
• Reducing Time to Issue
Resolution
• Proactively Identify Issues
Before They Become Problems
• Answering Difficult Questions
in Complex Environments
Copyright @ 2015 SIOS Technology Corp. All rights reserved.
17
IT Operations Analytics for Virtualized Environments

18. http://us.sios.com
SIOS iQ Machine Learning-based Platform
Copyright @ 2015 SIOS Technology Corp. All rights reserved.
18
Simple Intelligence for Virtual Environments

19. http://us.sios.com
What makes SIOS iQ so powerful?
• SIOS vGraph Technology
Automatically discovers complex and
hidden relationships between all objects
• SIOS Machine Learning Engine
Derives actionable insights
‒ Performs Topological Behavioral Analysis
‒ Detects anomalies
‒ Recommends optimal solutions
‒ Simulates effects of changes
• SIOS PERC Dashboard
Presents the knowledge and advice in
an easy-to-use, easy-to-access format
Copyright @ 2015 SIOS Technology Corp. All rights reserved.
19
Patented Technologies
SIOS Machine
Learning
Engine
SIOS PERC
Dashboard ™
SIOS
vGraph™

20. http://us.sios.com
SIOS PERC Analytics Dashboard™
Copyright @ 2015 SIOS Technology Corp. All rights reserved. 20
Actionable Along 4 Key Quality of Service Dimensions
PERFORMANCE EFFICIENCY RELIABILITY CAPACITY

21. http://us.sios.com
IT Operations Analytics Is A Big Data Problem
Copyright @ 2015 SIOS Technology Corp. All rights reserved.
21
Noise
Application Host Network Storage Other

22. http://us.sios.com
SIOS iQ – Applying Big Data Principles
Topological Behavior Analysis
Copyright @ 2015 SIOS Technology Corp. All rights reserved.
22
Data Noise Topology Individual Object and
Measurement Pattern
Multidimensional
behavior analysis of
related measurement)
e.g.: latency and IOPS

23. http://us.sios.com
SIOS iQ vROps Integration
Copyright @ 2015 SIOS Technology Corp. All rights reserved. 23

24. http://us.sios.com
Use Case: SIOS iQ
• Quickly Explore the Environment State
• One Click to Identify and Define
Issues, Severity, Effected Objects
‒ Application Compute Contention
‒ Notes issue severity
‒ Lists associated host and all effected objects
• Immediately Understand Root Cause
‒ Noisy neighbor identified as “ashley” (a VM)
• Recommendations for Correction
‒ SIOS iQ recommends “ashley” storage
reconfiguration or load rebalancing
Copyright @ 2015 SIOS Technology Corp. All rights reserved. 24
Deep Root Cause Analysis: Application Performance Issue

25. http://us.sios.com
Use Case: SIOS iQ
• Identify Ideal candidate VMs for Host Based Caching
• Recommends cache block size & how much cache to use
for each VM
• Predicts the resulting cache hit rate, IOPs improvements, and
potential latency improvement for each of the VMs
Copyright @ 2015 SIOS Technology Corp. All rights reserved. 25
Application Performance - Host Based Caching

26. http://us.sios.com
SIOS iQ: Key Use Cases
Noisy Neighbor
Infrastructure Performance
Application Performance
Resource Efficiency
Flash Optimization
 VMware HA Analysis
 vROPS Deep Insight
Application
Compute
Contention
Application
Storage
Contention
Application
Network
Contention
DataStore
Contention
Compute
Contention
Application
Impact
Host Based
Caching
Idle VMs
SnapShot
Waste
Undersized
VMs
HA Reliability
vROPS
Advanced Pack
Copyright @ 2015 SIOS Technology Corp. All rights reserved.

27. http://us.sios.com
SIOS iQ: One Touch to Clarity
27
• Simplicity
‒ OneTouch to Root Cause
‒ Self Learning and Adjusting
‒ Intuitive, Natural Touch-enabled Interface
• Accuracy
‒ Increased Signal to Noise Ratio
‒ Added Dimensions
‒ More Granular Data Analysis
‒ Streaming Analysis of Data Flows
• Proactive, Early Issue Identification
– Discover Subtle Indicators of Potential Issues
• Automated Issue Triage
‒ Information, Warning, Severe
• Comprehensive Recommendations for Resolution
• Scalable & Extensible
‒ Spans every tier across hundreds of thousands of objects

28. http://us.sios.com
Who is SIOS?
• Founded in 1999
‒ Formerly Steeleye Technology
• Headquarters in San Mateo, CA
‒ Offices across the US, UK and Japan
• Recognized Experts in
Application Availability
• Extensive Machine Learning
Expertise
• Partners are Industry Leaders
Copyright @ 2015 SIOS Technology Corp. All rights reserved.
28

29. Learn More about SIOS iQ
www.us.sios.com/iq
Tel: 866.318.0108
@SIOSTech
Email: sales@us.sios.com
29Copyright @ 2015 SIOS Technology Corp. All rights reserved.
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