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 FASTERLeverage detailed analytics to improve

apps quality and performance.

BETTER INSIGHTBreadth and depth of visibility into app

performance, crashes and end-user behavior. Anticipate and

respond to resource needs.

ANTICIPATE SECURITY RISKSProactive 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 respondents20 focus group participants26 interviewees

112users

241 total individuals engaged

129influencers& 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”

DATAAnalytics enable us to more accurately monitor system

component performance by time-of-day • day-of-week •

seasonal various

THRESHOLDSTHE 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 ONLYDelight 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 Resolutiondrives

Improved Uptime

Shared Expertisemeans

Continual Optimization

Analytics prioritize alerts on multiple weighted criteria

Reduce false positives Focus on real issues, not noise

Higher Efficiencyreduces

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 AnalysisAssisted Triage & Dynamic Thresholds based on historic data derived “normal” baseline


Noise

B A

S E

L I

N E

S

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

24CRIT

40OTHER

308OK

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



JimRun 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.

JimRun report


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

JimRun report



JimRun report

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



SME

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.



SME

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 ManagementAcross the enterprise – dynamic logical topologies


Prototype Timeline ViewQuickly 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 AnalyticsEarly 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 VisionUnified 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 VisionManaging 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

CA

Ap

p S

ervi

ces

Orc

hes

trat

or

CA vStormConnect

End User

CA Analytics for DB2

CA Performance Monitor for DB2

CA Administration for DB2

Next GenDBA

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 IdeaCreates 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™


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™

Po

licy

Engi

ne

CA 1™

CA TLMS™

CA Disk™


CA Tape™

Tape & Disk Devices CA VTape™

CA Vantage™

CA 1™

CA TLMS™

End Users

CA Spool™

OperationsMF System

ProgrammerApplication Developer

Po

licy

Engi

ne

TransformSearch Archive

Administer

Business Continuity Solution

CA Web Viewer™

E-mailPrint

Reports

CA Storage and Enterprise Content Management VisionOptimizing 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 ComplianceManaging security, data access and compliance

CA Data Protection

3rd party DLP Solution

3rd party DLP Solution

Big Data AnalyticsSolutions

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 assetsCapture events affecting compliance and policyDiscover sensitive data

Extend compliance event data to analytics solutionsEnable 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

https://cawiki.ca.com/display/MFBUWiki/Customer+Connectedness

https://cawiki.ca.com/display/MFBUWiki/Customer+Connectedness

https://cawiki.ca.com/display/MFBUWiki/Ideation

https://cawiki.ca.com/display/MFBUWiki/Ideation

https://cawiki.ca.com/display/MFBUWiki/Design+Thinking

https://cawiki.ca.com/display/MFBUWiki/Design+Thinking


Recommended Sessions

SESSION # TITLE DATE/TIME

MFT15TNew Mainframe IT Analytics: Actionable Insight into Root

Cause Analysis of Performance IssuesWED 11/18 at 3:45 pm

MFT08SAnalyst 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: MainframeIT 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

http://cainc.to/Nv2VOe

http://bit.ly/1wbjjqX

taking it analytics to the next level

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