Strategic Direction Session: Deliver Next-Gen IT Ops with CA Mainframe Operational Intelligence

Strategic Direction Session: Deliver Next-Gen IT
Ops With CA Mainframe Operational Intelligence
Vikas Sinha
MFT16S
MAINFRAME
SVP Business Unit Executive
CA Technologies
VP Product Management
CA Technologies
Jeff Henry

2 COPYRIGHT © 2017 CA. ALL RIGHTS RESERVED#CAWORLD #NOBARRIERS
For Informational Purposes Only
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Agenda
IT OPERATIONS TRENDS AND CHALLENGES
BRINGING MACHINE LEARNING TO THE MAINFRAME
TRANSFORMING FROM REACTIVE TO PROACTIVE
CA MAINFRAME OPERATIONAL INTELLIGENCE
INTELLIGENCE AS A SERVICE VISION
1
2
3
4
5

ProductConcept
How do we free up budget
to self-fund growth in MIPS?
How do we secure data
and protect privacy across
enterprises and blockchains?
How do we automate
& digitize processes
for maximum efficiency?
How do we increase
innovation velocity
to deliver new services
to customers?
Economics
5
DIGITAL TRUST
For Mission Essential Apps How can I learn from machine
data to create self healing
systems that provide 99.999
availability and redundancy?

Nobody wants to be
this guy!
IT failure cost
British Airways over
$102 million4
Average cost per hour of
downtime is $140,000 to
$2.5 million2
Enterprises are losing on
average $21.8 million
per year in downtime1
Brand Impact
Lost Trust
Lost Revenues
Upset Customers
Delta’s computer
outage
cost $150 million 3
1 Overages and Outages? Solving the Problem of Unplanned Downtime by Vincent Bier, May 2017; 2 Astonishing Hidden
Costs of IT Downtime by David Gewirtz, May 2017; 3 Delta's Computer Outage To Cost Them $150 Million, Sept 7, 2016 ;
4British Airways CEO puts cost of recent IT outage at 80 million pounds by Robert Hetz, Jun. 15, 2017
6 #CAWORLD #NOBARRIERS COPYRIGHT © 2017 CA. ALL RIGHTS RESERVED

Business Needs: Augmented Actionable Intelligence
Reduce risk
of breaking
SLAs
Capture
institutional
knowledge
Reduce need
for special
skills
Reduce time to
find and
resolve issues
To manage and maintain mainframe operations, organizations need to:

Evolving to a Self-Driven Mainframe Data Center
AUGMENTED
INTELLIGENT
AUTOMATION
AutomationMachine Learning AlgorithmsData and Event Processing
PATTERN
DISCOVERY
Generalist
Experts
MTTR & Firefighting
Optimized Performance & Efficiency
MAINFRAME
OPERATIONS
ENTERPRISE
SUPPORT
VISUAL
ANALYTICS
ANOMALY
DETECTION
PRESCRIPTIVE
GUIDANCE

Evolving to a Self-Driven Mainframe Data Center
AUGMENTED
INTELLIGENT
AUTOMATION
AutomationMachine Learning AlgorithmsData, Sentiment Processing
PATTERN
DISCOVERY
Generalist
Experts
MTTR & Firefighting
Optimized Performance & Efficiency
MAINFRAME
OPERATIONS
ENTERPRISE
SUPPORT
VISUAL
ANALYTICS
ANOMALY
DETECTION
PRESCRIPTIVE
GUIDANCE
▪ Modern U/X
▪ Self service views
▪ Historical analysis
▪ Alerting clustering
▪ Data correlation
▪ Predict business
service disruption
▪ Topology discovery
▪ Automated
response
(going beyond
prescriptive)
▪ Dynamic alerting
▪ Proactive
response
▪ Guided resolution
▪ Assisted triage
▪ Problem prevention

Augmented Human Intelligence and Automation
Databases
Applications
Systems
Networks
Storage
Anomaly Detection
• Western Electric Rules
• Kernel Density Estimation
• Exponential Moving Average
Pattern Detection
• Multi Variate Clustering
• Causality Model
Remediation
• Predictive Insights
• Recommendation Engine
• User Sentiment Analysis
IT Systems & Processes
• Automate simple tasks
Application Tuning
• Tune and optimize app code
Economics
• Automate to prevent
unplanned capacity spikes
Blockchain*
* Planned

From Reactive to Proactive
REACTIVE Network Ops
Center Patchwork Monitoring
PROACTIVE Dynamic Alerts
based on Machine Learning
Drowning
in data
Sea
of red
Reactive
fire fights
Dynamic
alerting
Fewer false
positives
Faster MTTR
and RCA
Significantly Reduce MTTR and False Alarms

Easily Visualize Data Relationships
from Multiple Sources
VISUAL
ANALYTICS
Databases
Applications
Systems
Networks
Blockchain*
CA Products | SMF Data | Open API*
Storage
* In development

Proactively Detect Performance Anomaly
UNLIKELY
Most Likely
Time
Typical
Volatility
ANOMALY
Less Likely
▪ Utilize historical data
▪ Define bands of Likely and Unlikely
▪ Map real-time metric streams
▪ Multi-point alerts generated using
industry-standard Western-Electric
rules
▪ Make static thresholds optional!

“Issue easily found within minutes.”
“Anomaly detection would have
alerted of the issue 2 hours before
we even knew we had a problem…”
“…5 hours before we took action.”
Detect Problems
Hours Earlier
CHALLENGE:
• Major system incident resulted in 8 hour outage
• Average cost of a critical application failure per
hour is $500,000 to $1 million1
Prevent costly
downtime with
earlier warning
of critical
system issues
Quickly and
easily pinpoint
root cause of
a problem
z/OS System CPU1
Large global financial services organization
needs made aware of production IT problems
immediately so they can swiftly identify root cause, take
action and mitigate impacting events.
1 The real cost of downtime, Alan Shimel, February 11, 2015

“Performance insights in near real time
are spectacular.”
“We reduced time to analyze cause of
issue from hours to minutes.”
“Test is one thing, being able to see in
production provides the real insights."
A large gas supplier providing natural gas to 1.8 million customers needs
to be made aware of production IT problems immediately so they can
swiftly identify root cause, take action and mitigate impacting events.
5X Improvement in
Resolution Time
CHALLENGES:
• Being notified after a customer is
impacted is too late.
• Static thresholds yield too many
false positives and cause a lot of
unnecessary churn to investigate.
SOLUTION:
Intelligent operations and automation:
• CA Mainframe Operational Intelligence
• CA SYSVIEW® Performance Management
• CA Vantage™ Storage Resource Manager
• CA OPS/MVS® Event Management and Automation
Increased IT
efficiency with
faster problem
triage and
remediation
Improved
customer
experience
through problem
prevention
Reduced
mean time to
resolution
(MTTR)

Automated Correlation Provides Issue
Intelligence
PATTERN
DISCOVERY
Gather Alerts from
Multiple Sources
Automate Clustering
of Alerts into Issues
1 2 Provide Predictive
Insights
3
Clustered Issue 7:
Network problem
60 active alerts
within 30 minutes

Next Step: Augmented Intelligence With
Sentiment Analysis
AUGMENTED
INTELLIGENT
AUTOMATION
Gather Alerts
from Multiple
Sources
Automate
Clustering of
Alerts into Issues1 2
Provide
Predictive
Insights3
Clustered Issue:
Network problem
60 active alerts
within 30 minutes
Apply
Sentiment
Analysis*4
Tribal
knowledge
captured
Refines
automatic
recommendation

Intelligent Automation
Reach Past IT With Process and Release Automation
AUGMENTED
INTELLIGENT
AUTOMATION
Trending Out of Norm
Flags Dynamic Alert
Trigger an
Automated Event1 2
Identify Where in
Process it Failed and Fix3

Towards Self-Driving Mainframe Data Center
Augmented
Intelligence
CA Mainframe Operational Intelligence
PREDICTIVE INTELLIGENCEMULTI-SOURCE DATA FEEDS
CA Products | SMF Data | Open API*
AUTOMATED REMEDIATION
Databases
Transactions
Systems
Networks
Storage
Collaboration
Anomaly Detection
Dynamic Alerting
Historical Analysis
Alert Clustering
Incident Predictions

What if you could…
PREDICT
ISSUES
Take action earlier with
embedded intelligence
that dynamically alerts to
abnormal patterns of
operation
+2H earlier
DIAGNOSE
PROBLEMS
Pinpoint root cause
faster with multi-source
data feeds and advanced
machine learning
algorithms
+5X Faster
REDUCE MANUAL
LABOR
Enable generalists to
triage issues and engage
only the experts needed
to address problem
> 40%

Intelligence as a Service
Correlation of Insights Across DevSecOps
Intelligent Performance Management
Intelligent Security
Intelligent App Dev
Intelligent Automation

Visit the Mainframe
SmartBar!
Talk to the experts about
optimizing your Mainframe
operations
DevSecOps
Intelligent Mainframe Management and Blockchain Data

Recommended Sessions
SESSION # TITLE DATE/TIME
MFT35T Escape the IT War Room with Collaborative Triage and Remediation 11/15/2016 at 12:45 pm
MFT36T Stop Drowning in False Alarms with Incident Intelligence 11/15/2016 at 2:30 pm
MFT41T DevOps Meets Intelligent Mainframe Management 11/15/2016 at 3:30 pm
MFT37T Proactive Database Management with DB2 Intelligence 11/15/2016 at 3:30 pm
MFT52T End-to-End Insight and Automation with Operational Intelligence 11/15/2016 at 4:15 pm
MFT42T Meet Your SLAs and Drive Down MLC Costs With CA Dynamic Capacity Intelligence 11/16/2016 at 11:30 am
MFT16S Panel Discussion: The Hype, Reality, and Future of Operational Intelligence 11/16/2016 at 12:45 pm
MFT38T Let the Data do the Work: Expand Your Data Sources 11/16/2016 at 1:45 pm
MFT23S The Self-Driven Data Center: Augmented Intelligence & Automation Provide the Keys 11/16/2016 at 4:15 pm

Must See Intelligent Mainframe Management Demos
Predict, Fix
Fast & Reduce
Effort
Deliver
Insights with
Machine
Learning
Automate for
Self-healing
Systems
Prevent
Unplanned
Capacity
Spikes
CA SYSVIEW®
Performance Management
CA NetMaster® Network
Management
CA Mainframe Operational
Intelligence
CA Mainframe Application
Tuner (CA MAT)
CA OPS/MVS® Event
Management & Automation
CA Mainframe Operational
Intelligence
CA Automic Automation
Platform
CA Dynamic Capacity
Intelligence
Mainframe
Theater 6
Mainframe
Theater 6
Mainframe
Theater 6
Mainframe
Theater 6

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Thank you.

Mainframe
For more information on Mainframe,
please visit: http://cainc.to/CAW17-Mainframe

www.mainframe.ai

Strategic Direction Session: Deliver Next-Gen IT Ops with CA Mainframe Operational Intelligence

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Strategic Direction Session: Deliver Next-Gen IT Ops with CA Mainframe Operational Intelligence