Taking IT Analytics to the Next Level

Taking IT Analytics to the Next Level
Jeff Henry
Mainframe
CA Technologies
VP Product Management
MFX09S
Seth Miller
AIG
Director, Mainframe Resource Planning, Automation and Performance Testing

2 © 2015 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD
Abstract
Join us for a closer look at new IT analytics solutions from CA that will help you
reduce costs and optimize the customer experience by increasing resource
utilization, reducing system outages and allowing for better capacity planning of
mainframe resources. See how you can perform root cause analysis in addition to
correlating and analyzing data from multiple IT sources to provide better
management understanding and real-time prediction of system performance
conflicts while lowering MTTR and enabling more efficient mainframe operations.
Take part in this highly interactive session, learn how customer-driven agile
development capabilities are being prioritized and be a part of shaping the future
of new IT analytics innovations at CA.
Jeff Henry
CA Technologies
VP, Product
Management
Seth Miller
AIG
Director, Mainframe
Resource Planning

DEVELOPMENT
Impact on Stakeholders
SECURITY IT OPERATIONS
DELIVER QUALITY APPS FASTER
Leverage detailed analytics to improve
apps quality and performance.
BETTER INSIGHT
Breadth and depth of visibility into app
performance, crashes and
end-user behavior. Anticipate and
respond to resource needs.
ANTICIPATE SECURITY RISKS
Proactive detection of security risks.
Remediate breaches before damage to
enterprise resources and brand occurs.
LINE OF BUSINESS
Need to make timely data-driven decisions regarding opportunities and risks for the business.

Such Descriptive Tools Can Be Extremely Powerful
But Are Generally Used Only By Few Expert Hands

Surgeons on Ambulances?
Sending a “Surgical Expert”
to Every Call for Help Just Doesn’t Scale

THE APPLICATION
ECONOMY
Where Tools
are Made Easy
to Use for Everyone
Blood pressure
is HIGH.
INCREASE
ACTIVITY!

How do I deliver a flawless experience every
time an application touches the mainframe?
In the application economy it’s all about your customers.
You need to think about your mainframe reframed.
Connect mobile-to-
mainframe applications
Create mainframe
infrastructure flexibility
for the future
Unleash the power of
data on the mainframe

211 survey respondents
20 focus group participants
26 interviewees
112
users
241 total individuals engaged
129
influencers
& buyers
Customer Engagement
$
Need better way to define and manage policy
Mainframe ops and engineering teams finding it increasingly difficult to
define effective monitoring and automation policy using today’s tools
How do I understand how infrastructure A&P impacts end user experience?
IT Ops is challenged to correlate performance data from diverse application
and infrastructure components to identify and resolve problems that impact
the end user experience of a business service
Unmet Needs
• Early detection of problems before they impact end user experience
• Guided experience from problem discovery to recommended actions
• Intelligent policy definition / dynamic thresholds
• Real-time root cause analysis
• Intelligent business service mapping
Desired Capabilities
Customer Research – ITOA and Performance Management

We’re One AIG
The world’s leading
insurance organization,
with more than 90 million
customers around the
globe.

Actionable Insight for AIG
Easier and more effective
access to historic data allows
us to compare current
performance, and “out of
bounds” conditions
We’ve spent way too long having
to dig into data to find “what
happened” and “what changed”
DATA
Analytics enable us to more
accurately monitor system
component performance by
time-of-day • day-of-week •
seasonal various
THRESHOLDS
THE SYSTEM HAS TO
“TALK TO US”

Evolution of IT Operational Experience
Historically customers have demanded vendors provide
flexible ‘toolkits’ for experts to customize and use
Shifts in the desired experience
Increasingly customers want ‘adaptive expert systems’ that learn their
environment and support non-experts in making the right decisions

Performance Management – EXAMPLES ONLY
Delight your end user, protect your experts
DIFFERENTIAL ANALYSISTIMELINE VIEWS
 Quickly ID what changed and
where without any logs
 Isolate performance culprits
 Connect Dev and Ops
PERSPECTIVES
 Visual data mining by geo, app,
BU or team role
 See only what matters
 True cross-team collaboration
Faster Resolution
drives
Improved Uptime
Shared Expertise
means
Continual Optimization
 Analytics prioritize alerts on
multiple weighted criteria
 Reduce false positives
 Focus on real issues, not noise
Higher Efficiency
reduces
Ownership Costs

Scenario: Problem Detection
A large application change is brought into production. CPU utilization (along
with many other performance metrics) is being actively monitored with
alerts being generated based on static thresholds.

Among the changes is a bug that was not caught in test. CPU utilization
begins to rise but without other serious work on the system the problem goes
unnoticed through the weekend.

During peak load Monday morning Steve receives a CPU alert and, realizing
the potential impact, quickly escalate the issue with the hope of resolving it
before any line of business is impacted.

Scenario: Early Detection
Jess Sam Kyle
…
Ana John Steve
A war room situation develops where Steve and others from several teams
come together and use many different tools to try and understand the
problem and determine root cause.
Team
1
Team
n

Scenario: Problem Detection with Analytics
A large application change is brought into production.

Steve uses analytics to construct a green highway or statistical range that
defined normal around this metric.

The green highway threshold policy alerts Steve that CPU utilization is
trending away from normal. There is not yet an imminent threat to lines of
business but Steve decides to investigate.

Ana SteveBen
Steve works with a small team to understand and resolve the problem.

The problem is resolved before it impacts the business and the cost of the
problem is minimized.

Prototype - Differential Analysis
Assisted Triage & Dynamic Thresholds based on historic data derived “normal” baseline

Noise
BASELINES
 Maintaining alerts is time consuming,
even with automated baselines
 Difficult to visually determine where
to focus resources
 Reactive not proactive
 How red is red?
What issue should
I work on first?
Should I escalate?
Why is every
issue a fire drill?
How long has this
been an issue?
INCIDENT PANEL
24
CRIT
40
OTHER
308
OK
CRIT CPU CHK (member) Server Microsoft Windows 0h 48min
CRIT CPU CHK (member) Server Linux 3h 34min
CRIT CPU CHK (member) Server Linux 2h 13min
CRIT Disk Cap CHK Server Microsoft Windows 0h 48min
WARN CPU CHK (member) Server Linux 2h 13min
WARN Disk Cap CHK Server Linux 0h 48min
WARN CPU CHK (member) Server Linux 2h 13min
WARN Disk Cap CHK Server Linux 0h 48min

Scenario: Root Cause
Jim
A DASD response time alert wakes up first responder Bob.
After some time, Bob finds the storage subject matter expert Jim and passes
the issue to him.
Bob

Jim
Run report
Jim runs a report on RMF data pertaining to the DASD referenced in the alert.

This leads Jim to run a second report based on the Logical Control Unit (LCU) used by that DASD.
Jim
Run report

This leads Jim to run a third report based on the CHIPID (CHAN) behind that LCU.
Jim
Run report

Jim
Run report
This leads Jim to run a fourth report to determine what other LCUs are using that CHIPID.

SM
E
Run report
After a fifth RMF report, Jim
notices a DASD volume with a lot
of activity and very low response
time, using the same CHIPID. By
moving the volume the problem is
solved.

SM
E
Run report
Finding the root cause required a subject matter expert to run numerous
reports, skim through them and locate the non-normal values.

Scenario: Root Cause with Analytics
Bob
A DASD response time alert wakes up first responder Bob.
.

Bob
Analytics dynamically maps the relationships between metrics and provides green
highways to define normal, helping Bob know where to start and where to go next.

Bob
Using the power of analytics, Bob is able to follow the same path as Jim and
quickly come to the same conclusion; that another volume being used by a
different application is the root cause of the alert.

Prototype – Unified Performance Management
Across the enterprise – dynamic logical topologies

Prototype Timeline View
Quickly see changes in the context of performance problems
BEFORE CHANGE AFTER CHANGE
App flow change
Then performance
degrades
Two new services were
added
It began here!

CA Performance Analytics
Early detection of system performance issues before they disrupt end user experience
Proactively monitor
and triage
mainframe
performance issues
as they begin to
unfold
Decrease helpdesk call volume
Rapid assisted
triage will decrease
MTTR and reduce
downtime
Accelerates
learning for the
more junior
workforce
Avoid problems
before they
impact SLAs

CA Performance Management Portfolio Vision
Unified performance management for z Systems Planned
Available
Distributed/Mainframe
Operations Analysts
MF
Systems/Network
Analysts
Distributed
Application Analysts
Network
Analysts
CA NetMaster®
Databases
Network
CICS & MQ
z/VM, KVM &
Linux on z
CA UIMCA UIM for z
Systems
CA Cross Enterprise
APM
Unified Performance
Management Console
CA APM
System Analysts
CA SYSVIEW®
Storage
Capacity Planner
CA MICS®
Storage
Administrator
CA Vantage™
ANALYTICS
INFUSED
• Assisted Triage
• Differential
Analysis
• Leveraging
Common Western
Electric Rules

Application
Performance
Diagnostics
Embedding usable MAT
diagnostic
measurements in the
triage and problem
resolution process
Dynamic
Thresholds
Calculated thresholds
based on analysis of
historic and near-time
system data
Policy Effectiveness
Ratings
Monitor the
effectiveness of
manually created
policies to drain false
positives from
operational experience
Performance Management Analytics
Integrated Enterprise
Monitoring
Experience
Metric, policy and
interaction consistency
between APM, UIM and
MF Performance
experience

CA Database Management Portfolio Vision
Managing growth and complexity to address evolving data management needs Planned
Available
IMS DB2
CA Administration Suite
CA Performance Suite
CA Utilities Suite
CA Recovery Suite
Experienced
DBA
Web App Server
Mobile Developer
Big Data
Analyst
CAAppServicesOrchestrator
CA vStorm
Connect
End User
CA Analytics for
DB2
CA Performance
Monitor for DB2
CA Administration
for DB2
Next
Gen
DBA
SaaS
ANALYTICS INFUSED
• Initial offering
focusing on CA
Detector Install base
• Delivered through a
SaaS deployment
model with flexible
pricing tiers

Performance Analytics for DB2 – Solution Idea
Creates baselines and analyzes performance to detect deviations from expected behavior
 Maintains application performance to ensure
SLAs are met
 Reduces system overhead costs by detecting
deviations from normal executions
 Mails event notifications ensures timely
resolutions
 Reports proactively on degradation trends
 Automatic evaluation of application
performance to expected behavior
 Frees DBA time
 Option to run as SaaS in the cloud with
advanced analytics and visualization via browser
interface.
Business Value
Application DBAs, Systems DBA
Who this helps

Distributed/Mainframe
Operations Analysts
CA Disk™
Storage
Administrator
CA Tape™
Tape & Disk
Devices
CA
View/Deliver™
CA UIM and CA UIM for z Systems Storage
CA Cloud Storage for
z Systems™
Planned
Available
CA VTape™
CA Vantage™
PolicyEngine
CA 1™
CA TLMS™
CA Disk™
Storage
Administrator
CA Tape™
Tape & Disk
Devices CA VTape™
CA Vantage™
CA 1™
CA TLMS™
End Users
CA Spool™
Operations
MF System
Programmer
Application
Developer
PolicyEngine
Transform
Search
Archive
Administer
Business Continuity Solution
CA Web Viewer™
E-mail
Print
Reports
CA Storage and Enterprise Content Management Vision
Optimizing Management of Storage for a Highly Available Mainframe
ANALYTICS INFUSED
• Dynamic thresholds
• Early detection of
issues
• Optimization
simulation /
modeling

Optimization of
Storage Infrastructure
Monitor the
environment, forecast
and simulate / model
changes, apply policies
and remediate for
storage optimization
Dynamic
Thresholds
Calculated thresholds
based on analysis of
historic and near-time
system data
Policy Effectiveness
Ratings
Monitor the
effectiveness of
manually created
policies to drain false
positives from
operational experience
Storage Management Analytics
Integrated Enterprise
Monitoring
Experience
Metric, policy and
interaction consistency
between MF Performance
and storage management

Security and Compliance
Managing security, data access and compliance
CA Data
Protection
3rd party DLP
Solution
3rd party DLP
Solution
Big Data
Analytics
Solutions
CA Compliance Event Manager
IBM RACF
CA Top
Secret
CA ACF2
CA Cleanup
In Ideation:
Mainframe
Advanced
Authentication
CA Data
Content
Discovery
CA
Auditor
Secure mainframe assets
Capture events affecting compliance and policy
Discover sensitive data
Extend compliance event data to analytics solutions
Enable secure data in motion across the enterprise
Security
Administrator
Big Data AnalystAuditor
Planned
Available
Non-CA
Product
ANALYTICS INFUSED
• Network Connection Patterns
• Intrusion Detection

Network Security Analytics
Analytics-based discovery of network connection patterns
 Maintains application performance to ensure
Early notification of network patterns
compatible with malicious intrusion.
 Leverage analytics to perform analysis of
disparate patterns of data.
 Complement and fill gaps that Intrusion
Detection System doesn’t fill today.
 Ability to monitor and analyze rouge port scans
from remote addresses.
 Correlation of event traffic patterns.
Business Value
Network Analysts, Security Analysts, IT Operations
Who this helpsInternet
Analytics
Intranet
IDS
Network
Management
Internal attacks External Attacks
TCP/IP
Stacks
DMZ
Analyst

Design Thinking at CA – Come Collaborate!
User & Buyer Research - interviews, observations, surveys, focus groups, strategy testing
Market Analysis - competitive, win/loss, intersecting trends
Customer and Internal Ideation - explore unmet needs that CA can address commercially
Design Thinking Workshops - cross-functional teams engage in exercises to connect with
customer need and generate ideas
Idea Testing - ideas tested with buyers, users and sales for commercial appeal
Concept Testing - top ideas turned in to product concepts and retested and refined
Collaborative Development - Agile sprint reviews, design/architectural reviews, prototype testing
Market Testing - ongoing testing of business case with customers, analysts and sales
Usability Testing - structured testing of design quality and end user success
Problem Validation
Solution Validation
Experience Validation

Recommended Sessions
SESSION # TITLE DATE/TIME
MFT15T
New Mainframe IT Analytics: Actionable Insight into Root
Cause Analysis of Performance Issues
WED 11/18 at 3:45 pm
MFT08S
Analyst Expert View: Mainframe in the Application
Economy - Gary Barnett Chief Analyst Ovum
THUR 11/19 at 10:30 am

Follow Conversations At…
Product X
Theater # location
What’s Next:
Mainframe
IT Analytics

For Informational Purposes Only
Terms of this Presentation
© 2015 CA. All rights reserved. All trademarks referenced herein belong to their respective companies. The presentation provided at CA
World 2015 is intended for information purposes only and does not form any type of warranty. Some of the specific slides with customer
references relate to customer's specific use and experience of CA products and solutions so actual results may vary.
Certain information in this presentation may outline CA’s general product direction. This presentation shall not serve to (i) affect the rights
and/or obligations of CA or its licensees under any existing or future license agreement or services agreement relating to any CA software
product; or (ii) amend any product documentation or specifications for any CA software product. This presentation is based on current
information and resource allocations as of November 18, 2015, and is subject to change or withdrawal by CA at any time without notice. The
development, release and timing of any features or functionality described in this presentation remain at CA’s sole discretion.
Notwithstanding anything in this presentation to the contrary, upon the general availability of any future CA product release referenced in
this presentation, CA may make such release available to new licensees in the form of a regularly scheduled major product release. Such
release may be made available to licensees of the product who are active subscribers to CA maintenance and support, on a when and if-
available basis. The information in this presentation is not deemed to be incorporated into any contract.

Q & A

Because those who build the
apps will own the future ...
And those apps continue
to rely on the MAINFRAME

For More Information
To learn more, please visit:
http://cainc.to/Nv2VOe
CA World ’15

Taking IT Analytics to the Next Level

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