IT leaders looking to move beyond reactive and ad hoc troubleshooting need to find the intersection of maintaining existing systems while still driving innovation - solving for the present while preparing for the future. Identifying ways to bring existing infrastructure and legacy systems into the modern world can create the business advantage you need. View the conversation with Splunk’s Chief Technology Advocate, Andi Mann and Syncsort’s Chief Product Officer, David Hodgson where we discuss the digital transformation taking place in IT and how machine learning and AI are helping IT leaders create a more business-centric view of their world including: • The importance of data sharing and collaboration between mainframe and distributed IT • The value of integrating legacy data sources and existing infrastructure into the modern world • Achieving an end to end view of IT operations and application performance with machine learning

1. Digital Transformation: How to Run
Best-in-Class IT Operations in a
World of Machine Learning

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Before we get started

3. Today’s Speakers
Andi Mann
Chief Technology Advocate
Splunk
David Hodgson
Chief Product Officer
Syncsort

4. We use our experience so that you can quickly extract value
from your critical data anytime, anywhere
We organize data everywhere,
to keep the world working
Work more
efficiently
Grow faster
Achieve more

5. We build on
your legacy…
because it works!
Your traditional systems
– including mainframes, IBM i
servers & data warehouses –
adapt and deliver increasing
value with each new
technology wave
91%
of executives predict long-term
viability of the mainframe as the
platform continues evolving to
meet digital business demands
>100k
companies today use IBM i
technology to run significant
workloads & power critical
business applications
$1.65trillion
invested by enterprise IT
to support data warehouse &
analytics workloads over the
past decade
BMC 12th Annual Mainframe Research Results – Nov. 2017
Wikibon “10-Year Worldwide Enterprise IT Spending 2008-2017”

6. Optimize IntegrateAssure
Making critical data useful
Improve performance
and control costs across
the full IT environment,
from legacy systems to
the cloud
Connect today’s data
infrastructure with
tomorrow’s technology –
and ensure data quality
– powering machine
learning, AI and
predictive analytics
Increase data availability
and provide security as
the world moves to
accessing data in 24x7
timeframes and data
protection becomes
mission critical

7. Polling Question
- ITOA
- ITSI
- Not leveraging Splunk
- Don’t Know
How are you leveraging Splunk today?

8. Polling Question
- Yes, being streamed into it today
- No, using an alternative analytics platform
- No, but that data is being requested
- No
- Don’t Know
Are you leveraging mainframe data into Splunk?

9. A large proportion of
organizations prioritize
driving insights from
mainframe data by
integrating it with
modern analytics tools
What are your priorities for modernizing your mainframe
environment in the next 12 months?
43.5%Integrating
mainframe data
with big data
analytics

10. Many IT organizations are being driven to
move beyond reactive and ad hoc
troubleshooting.
They are being challenged to find the
intersection of maintaining existing systems
while still driving innovation and solving for the
present while preparing for the future.

11. Single Vendor is not a reality
Customer-Centric View:

12. The Value of
Legacy Data
Today’s organizations need to
draw data in from many
sources
A modern business continually
creates new streams and
sources of data
New technologies and
applications are making
existing data more useful
12
Legacy data must be
treated as first-class
citizens in the service
environment,
alongside cloud,
mobile, web, and
other “newer”
technologies.

13. “
”
To capitalize on analytics for business
intelligence, organizations can no longer
operate within isolated technology silos.

14. Collaboration between
distributed and mainframe IT
is critical to ensure all
relevant data sources are
populated within an
analytics environment.
This is the first step toward moving from technology-
based silos to a common collaborative analytics
strategy.

15. of your application and technology stack
Data Gives Visibility Across All Dimensions
Application-
Based Silos
Apps
Servers
Network
Storage
Zones of Virtualization On Prem/Mainframe Hybrid Cloud

16. Use Data for Business Service Intelligence

18. Brand Training | Guidelines & Tools18

19. Problem: <Stuff in the world> causes big time & money expense. Value Hypothesis
Solution: Build ML model to forecast <possible incidents>, act pre-emptively & learn
The ML Process
Get and
explore data
Select and fit an
algorithm to
generate a model
Apply and
validate models
Surface model to
solve problems
Operationalize

20. Detect Patterns, Anomalies with Machine
Learning

21. Legacy Data and Machine
Learning

22. Supports the most
z/OS and IBM i data
sources in the
industry
More than 50
successful customer
engagements
Consolidate or
eliminate custom
tooling to save time
and money
Provides a true 360-
degree view of your
enterprise security
and operations
Ironstream® is the
leading solution
to forward z/OS
and IBM i log data
to the Splunk
platform

23. How Ironstream Works
Mainframe
Data Forwarder DCE IDT
Ironstream DesktopData Collection Extension
Data ForwarderData Forwarder
z/OS
SPLUNK
Enterprise
Security
SPLUNK
IT Service
Intelligence
DB2SYSOUT
Live/Stored
SPOOL Data
Alerts
Network
Components
Ironstream API
Application Data
Assembler
C
COBOL
REXX
USSLog4jFile
Load
SYSLOG
SYSLOGD
logs
security
SMF
67 types
RMF
Up to 50,000
values
IMS

24. Why Ironstream
Less Complexity
Collect mainframe and IBM i data;
correlate with data from other
platforms; no legacy system expertise
required
Clearer Security Information
Identify unauthorized mainframe and
IBM i server access, other security
risks; prepares and visualizes key
data for compliance audits
Healthier IT Operations
Real-time alerts identify problems in
all key environments View latency,
transactions per second, exceptions,
etc.
Effective Problem-Resolution
Management
Real-time views to identify real or
potential failures earlier; view related
'surrounding' information to support
triage repair or prevention
Higher Operational Efficiency
Enhanced event correlation across
systems; Staff resolves problems faster;
“do more with less”
Eliminate Your Mainframe and
IBM i “Blind-Spots”
Splunk/Elastic + Ironstream = Your
360ᵒ Enterprise View

25. Customer Story:
Global Financial Firm Controls
Costs on IT Operations
Challenge
• Spending too much money on additional
capacity on demand
• Mean time to problem resolution was too
long
• Insufficient correlation of significant
events picked up by operational and
application performance monitors in
various business segments.
• No correlation between its IBM z/OS
mainframes and distributed systems.
Solution: Splunk Enterprise +
Syncsort Ironstream
• With Syncsort Ironstream the company
was able to forward - in real time - up to
100 GB of z/OS log data from 13 LPARs to
the Splunk platform.
• Enabled correlation and analysis with
data from distributed systems and
supported the desired new insights and
efficiencies.
Results
• Real-time CPU monitoring in Splunk
Enterprise to pinpoint expensive
transactions, business volumes, and
other variables that correlate with MIPs
usage.
• The expensive CPU processing of
SAS/MXG reporting was offloaded to
inexpensive commodity hardware via the
Splunk platform.
• Service quality was enhanced by more
effective problem resolution and
reduction in mean time to resolution
(MTTR).
• Operational efficiencies and predictive
analytics were driving the desired
resource savings and a competitive
advantage.

26. Questions