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WorldÂź
’16
Modern	System	Intelligence:	
Making	the	Data	Do	the	Work	
Arun Vijayaraghavan,	Sr.	Principal	Product	Manager,	Operational	Intelligence
CA	Technologies
MFX163S
INTELLIGENT	MAINFRAME	MANAGEMENT
2 ©	2016	CA.	ALL	RIGHTS	RESERVED.@CAWORLD				#CAWORLD
©	2016	CA.	All	rights	reserved.	All	trademarks	referenced	herein	belong	to	their	respective	companies.
The	content	provided	in	this CA	World	2016	presentation	is	intended	for	informational	purposes	only	and	does	not	form	any	type	of	
warranty. The information	provided	by	a	CA	partner	and/or	CA	customer	has	not	been	reviewed	for	accuracy	by	CA.	
For	Informational	Purposes	Only	
Terms	of	this	Presentation
3 ©	2016	CA.	ALL	RIGHTS	RESERVED.@CAWORLD				#CAWORLD
Abstract
Learn	more	about	embedded	operational	intelligence	and	how	CA	mainframe	solutions	are	
leveraging	the	latest	analytics	technology	to	meet	the	needs	of	the	app	economy	and	next	
generation	users.	Discover	the	future	of	data-driven	apps	that	will	prescribe	what	needs	to	happen	
next	to	prevent	system	failures,	avoid	performance	problems	and	prevent	security	incidents,	with	
the	ultimate	goal	of	zero	touch	management	and	reduced	MTTR.	
Arun
Vijayaraghavan
CA	Technologies
Sr.	Principal	Product	
Manager,	Operational	
Intelligence
4 ©	2016	CA.	ALL	RIGHTS	RESERVED.@CAWORLD				#CAWORLD
Agenda
DATA	ANALYTICS	AND	THE	MAINFRAME	OPPORTUNITY
INTELLIGENT	MAINFRAME	OPERATIONS
USE	CASES	– PROBLEM,	OPPORTUNITY,	SOLUTIONS
1
2
3
Q	&	A4
5 ©	2016	CA.	ALL	RIGHTS	RESERVED.@CAWORLD				#CAWORLD
EXPERT	SYSTEMS	&	MACHINE
LEARNING
§ Analysis	of	Historical,	Near	Real-time	
plus	Live	data	
§ Data	Mining,	Machine	Learning	&	
Autonomics
§ Self	Driving	Cars
DATA	MINING	&	DECISION	SUPPORT
§ Analysis	of	Historical	&	Near	Real-time	Data
§ Data	Mining,	Aggregations	&	Decision	
Support
§ Navigation	Tools	with	Traffic	Updates
BI	&	STATISTICAL	ANALYSIS
§ Analysis	of	Historical	Data
§ BI	Reporting,	Slicing/Dicing
§ Basic	Navigation	Tools
Evolution	of	Operational	Intelligence
Actionable	Analytics	With	Significant	Advances	Towards	Zero	Touch	Operations
ANALYTICS	1.0
BUSINESS	INTELLIGENCE	
ANALYTICS	3.0
DATA-DRIVEN	APPLICATIONS
ANALYTICS	2.0
BIG	DATA
Technology	Trend
6 ©	2016	CA.	ALL	RIGHTS	RESERVED.@CAWORLD				#CAWORLD
55%
of	apps	
depend	on	
mainframe
70%
world’s	corporate	
data	is	on	a	
mainframe
70%	of	
transactions	flow	
through	mainframe
64%
increase	in	
mainframe	
workloads
ANOMALY	DETECTION
BUSINESS	SERVICE	MANAGEMENT
EXPERT	SYSTEMS
SECURITY	
BREACH	
DETECTION
Industry	Opportunity
Data	Analytics	and	the	Mainframe	Opportunity
7 ©	2016	CA.	ALL	RIGHTS	RESERVED.@CAWORLD				#CAWORLD
Our	Solution	– Intelligent	Mainframe	Operations	
USERS
Generalist
MAINFRAME
OPERATIONS
Experts
Specialists
Automation
ENTERPRISE	
SUPPORT
ANOMALY	
DETECTION
REPORTING	
MODERNIZATION
BUSINESS	SERVICE	
PERSPECTIVES
EXPERT	
SYSTEMS
MTTR	&	Firefighting
Optimized		Performance	&	Efficiency
‱ React	to	threshold	
events
‱ Self	service	views
‱ Modern	U/X	
‱ Predict	anomalies
‱ Proactive	response
‱ Topology	discovery
‱ Business	service	
perspectives
‱ Predict	business	
service	disruption
‱ Root	cause	hypothesis
‱ Resolution guidance
‱ Automate	response
AutomationData	Driven	OperationsData	AnalyticsBI/Statistical	Modeling
8 ©	2016	CA.	ALL	RIGHTS	RESERVED.@CAWORLD				#CAWORLD
BUDGET SME’s SLA’sSCOPE DATA
SECURITY	
THREATOPERATIONAL	
CONSTRAINTS
Expert	
Systems
Business	
Agility
Security	Breach	
Detection
Intelligent
Automation
BUSINESS	BENEFITS
Complexity
Staff
Experience Cost	
Transaction	
Security
BUSINESS	CHALLENGES
End	U/X SLA’s
Not	Met
OPERATIONAL	CHALLENGES
MTTR
OPERATIONAL	BENEFITS
Great	
U/X
SLA’s
Maintained
Reduced	
MTTR
Lost	OppRevenue	Risks
BOTTOM	LINE
Revenue
Risks
Increased	
Revenue
Reduced	Risk
The	Impact	to	Your	Business
Why	should	you	care?
9 ©	2016	CA.	ALL	RIGHTS	RESERVED.@CAWORLD				#CAWORLD
Intelligent	Mainframe	Operations	- Lifting	the	Burden
DATA-DRIVEN				
APPLICATIONS
ANALYTICAL	
TOOLS	&	SKILLS
IN-HOUSE	
DATA	SCIENCE
IN-HOUSE	
DOMAIN	EXPERTISE
+
+
YOUR	BURDEN Mainframe	Team	Center
Let	the	DATA	do	
the	WORK	for	you
Do	MORE	with	
LESS!
Fueled	by:	
§ advanced	analytic	
algorithms
§ machine	learning
10 ©	2016	CA.	ALL	RIGHTS	RESERVED.@CAWORLD				#CAWORLD
Mainframe	Team	Center	- Operational	Intelligence
Key	Capabilities	Being	Developed	to	Manage	the	Lifecycle	of	Your	Data	Assets
Analytics	
Processing Multi-Channel	Delivery
Multi-Channel	
Data	Capture
Distributed
DB2,	Oracle,	MySQL,	
Cassandra	...
Mainframe
VSAM,	DB2,	IMS	DB,	
IDMS,	DATACOM,	
SMF,	Syslogs,	Vtape,	
CICS
It’s	your	data,	leverage	it	to	do	the	work	for	you!
Data	Lifecycle	Management
‱ Report	Distribution
‱ Anomaly	Alerts
‱ Ad-Hoc	Analysis	Tools
‱ API	based	data	access
‱ Automation	frameworks
Expert	Systems	
Autonomics
Transport	&	
Integration
Scalable	Data	
Storage
Data	Science	
and	Anomaly	
Detection
Business	
Intelligence
IT	Operations	
Intelligence
API	
Management
Master	Data	
Management
11 ©	2016	CA.	ALL	RIGHTS	RESERVED.@CAWORLD				#CAWORLD
Data	Driven	Applications	
Problem,	Opportunity	and	Proposed	Solution
CA	Mainframe	Operations	Intelligence	and	CA	SYSVIEWÂź	14.2
12 ©	2016	CA.	ALL	RIGHTS	RESERVED.@CAWORLD				#CAWORLD
Mainframe	Team	Center	- IT	Ops	Team	Persona	
SHERMAN
Systems	Engineer
RALPH
Systems	Performance	
Analyst
MY	PAIN
Monitoring	many	
systems	&	devices
HELP	ME
Simplify	alerts,	
meaning	and	action
MY	PAIN
Bottleneck	– work	on	
all	issues
HELP	ME
Understand	app	and	
system	performance	
characteristics	quickly
MY	PAIN
Firefighting	and	identifying
likely	sources	of	future	fires
HELP	ME
Instantly	know	what	changes	
may	trigger	problems	
DEBBIE
Network	Engineer
PETE	
Level	1	Support	Analyst
Cross	Enterprise	
FRED
Application	DBA
ASHLEY
Level	1	Support	Analyst
Operator/	Mainframe
13 ©	2016	CA.	ALL	RIGHTS	RESERVED.@CAWORLD				#CAWORLD
USE	CASE:
Sherman,	Debbie,	and	Fred	have	deep	experience	and	skills	in	their	respective	areas.	They	hate	being	called	
after	a	system	problem	has	occurred	and	being	asked	to	prove	that	their	area	was	at	fault	or	innocent.	They	
would	like	a	system	that	tells	them	when	their	area	is	behaving	abnormally,	so	that	they	can	address	it	before	it	
comes	to	the	attention	of	the	Systems	Performance	Engineer.
‱ Operations,	Systems	Programmer,	
‱ Network	Engineer,	Application	DBA
PERSONA:
PROBLEM	
§ “Avoid,	detect	and	predict	issues	that	might	be	a	problem”
§ “Thresholds	are	hard	to	maintain	and	generate	large	amount	of	false	positives”
§ “Ability	to	see	multiple	views	of	data	”
§ “Ability	to	create	views	of	information	faster”
§ “The	current	U/X	prevents	easy	collaboration	and	access	to	analytics”
Anomaly	Detection	– Problem	Avoidance/Prediction
14 ©	2016	CA.	ALL	RIGHTS	RESERVED.@CAWORLD				#CAWORLD
Anomaly	Detection	– Problem	Avoidance/Prediction
SOLUTION
§ Detect	anomalies		predict	issues	real-
time,	alert	based	on	predefined	rules
§ Leverage	historical	data	and	machine	
learning	for	dynamic	thresholds
§ Simplified	U/X	– browser	access	&	
designed	for	collaboration	
BOTTOM	LINE
§ High	Availability
§ Problem	avoidance
§ Reduced	MTTR
§ Reduce	SME	dependence	for	issue	
detection
15 ©	2016	CA.	ALL	RIGHTS	RESERVED.@CAWORLD				#CAWORLD
Anomaly	Detection	– Deep	Dive
Let	data	do	the	work	for	you
Unlikely
Most	Likely
Metric
Time
Typical	
Volatility
Anomaly
Tasks	ready	to	be	dispatched
Less	Likely
§ Utilize	Historical	data	
§ Define	bands	of	Likely	and	
unlikely	values
§ Map	real	time	metric	
streams	against	system	
defined	normal	
§ Multi-point	alerts	generated	
using	industry-standard	
Western-Electric	rules
§ Make	static	
thresholds	optional!
16 ©	2016	CA.	ALL	RIGHTS	RESERVED.@CAWORLD				#CAWORLD
USE CASE:
As someone owning IT operations and responsible for technology progress, my MF systems should exploit
platforms like Linux (X86 & Z) to offload data processing and non essential management capabilities. Lack of
this capability limits the ability to extend the strengths of the mainframe with next generation technology
that is supported on Linux.
‱ Business	Owner
‱ Technology	Owner
PERSONA:
PROBLEM
§ “Help	me	deploy	your	analytics	solution	in	hours	not	days”
§ “No	significant	increase	on	my	teams	workload,	we	are	not	linux experts”
§ “We	plan	to	expand	our	z	ecosystem	to	include	Linux	and	require	tools	to	leverage	our	strategy”
§ “Ensuring	technology	progress	without	losing	the	reliability/security	of	MF	is	high	value	goal”
§ ”Ensure	analytics	solution	do	not	increase	my	operations	costs	significantly”
Simplified	Deployment	– Minimize	Cost	and	Risk
17 ©	2016	CA.	ALL	RIGHTS	RESERVED.@CAWORLD				#CAWORLD
Simplified	Deployment	– Minimize	Cost	and	Risk
Web-based	UI
Rest	API
z/OS
Performance	
Management
Database
Management
Rest	APIs
Storage	
Management
Software	
Virtual	
Appliance
BENEFITS
Low	Cost	computing
Non-Invasive
Retains	Security
Setup	in	Minutes
ANALYTICS
STREAM
EXISTING	PRODUCTS
Browser
SOLUTION
Virtual	appliance
Containerized	Plug-n-play
Simple	Config GUI
Metric	
Baseline
Anomaly	
Detection
Correlations
Aggregation
Historical	
Data
18 ©	2016	CA.	ALL	RIGHTS	RESERVED.@CAWORLD				#CAWORLD
On	Deck	Next
Problem,	Opportunity	and	Proposed	Solution
19 ©	2016	CA.	ALL	RIGHTS	RESERVED.@CAWORLD				#CAWORLD
USE	CASE:
As	an	administrator	(System	or	DB)	I	need	a	simplified	U/X	to	analyze	performance	data.	This	should	include	
prebuilt	integration	of	performance	data	into	a	scalable	performance	DB	&	also	easy	access	to	the	data	via	
dashboards,	reporting,	ad-hoc	analysis	tools.	Creating	a	central	performance	DB		with	a	modern	metric	
exploration	and	visualization	layer	has	been	a	constant	need	for	several	years	now
‱ System	Programmer,
‱ Sys	Admin,	
‱ Application	DBA
PERSONA:
PROBLEM
§ “As	an	expert	user	I	just	need	quick	and	easy	access	to	the	data,	I	know	what	I	am	looking	for”
§ “We	need	data	integration	tools	that	can	update	performance	DB	&	related	dashboards	near	real	time”
§ “I	want	to	create	a	custom	dashboard	and	have	the	system	email	me	the	snapshot	Monday	morning”
§ “I	want	the	ability	to	easily	create	ad-hoc	views	of	performance	data	that	can	be	shared	with	junior	staff”
Reporting	- Performance	Metrics	Analysis
20 ©	2016	CA.	ALL	RIGHTS	RESERVED.@CAWORLD				#CAWORLD
Reporting	- Performance	Metrics	Analysis
SOLUTION
§ High	efficient	performance	data	integration
§ Scalable	data	repository	for	multi	year	metric	analysis
§ Modern	visualization	and	data	discovery
§ Dashboards	and	scheduled	custom	reporting
§ Ad-Hoc	data	analysis	view
§ Designed	for	experts	looking	for	quick	access	to	data
BOTTOM	LINE
§ Reduced	MTTR
§ Improved	end	user	experience
Dashboards
Ad-Hoc	
Views
User	generated	
reports
21 ©	2016	CA.	ALL	RIGHTS	RESERVED.@CAWORLD				#CAWORLD
Candidates	in	Design	Validation	Lab
Problem,	Opportunity	and	Proposed	Solution
22 ©	2016	CA.	ALL	RIGHTS	RESERVED.@CAWORLD				#CAWORLD
Expert	Systems	– Intelligent	Mainframe
SME
‱ SOLUTION
§ Assisted	triage	that	helps	faster	RCA,	reduced	
MTTR	and	facilitates	better	decisions
§ Utilize	correlation	data	science	to	find	clusters	of	
alerts	and	relationships
§ Leverage	machine	learning	and	your	data	to	the	
system	triage	and	isolate	the	problem	
§ System	learns	from	experts,	helps	onboard	junior	
staff	faster
BENEFITS
§ Reduced	MTTR
§ Higher	productivity	of	junior	staff
§ Transfer	of	Tribal	knowledge	to	an	expert	system
§ Lower	costs	of	operations,	no	increase	in	risks
1 3
2
4
1
2
3
4
23 ©	2016	CA.	ALL	RIGHTS	RESERVED.@CAWORLD				#CAWORLD
LEVERAGE	DATA
ITS	YOUR	ASSET
MOVE	FROM	REACTIVE	
TO	PROACTIVE
DETECT	ANOMALIES
AVOID	PROBLEMS
Wrap	Up	and	Key	Takeaway
Intelligent	Mainframe	Operations	and	Operational	Intelligence
Expert	users	with	
decades	of	
experience
Highly	
customizable,	
flexible	toolkits
Basic	software	
intelligence
Inexperienced	
users	new	to	
Mainframe
Tools	that	guide	
users	to	
decisions
Predictive	
software	
intelligence
We	Invite	you	to	participate	in	Design@CA	and	Tech	Preview!
24 ©	2016	CA.	ALL	RIGHTS	RESERVED.@CAWORLD				#CAWORLD
“Tuning	is	the	way	to	help	us	
to	save	elapsed	time	and/or	
CPU	resources	and	by	that	
create	well-performing	
applications.	A	tool	which	
will	identify	performance	
deviations	from		a	created	
baseline	will	be	of	a	great	
value	to	achieve	this.”	
IT	SERVICE	PROVIDER
“Application	performance	
and	application	utilization	
of	z/OS	CPU	are	of	vital	
interest	to	us	in	order	to	
secure	a	good	user	
experience	and	to	control	
cost.	Statistical	baselines	
would	be	very	helpful	in	
that	matter.”	
EUROPEAN	INSURANCE	COMPANY
What	Customers	Are	Saying

“A	dynamic	learning	
solution	based	on	
continued	data	analysis	is	
key	to	providing	us	(the	
customer)	the	agility	to	
deal	with	a	growing	
workload	with	the	same	
number	of	resources.”
U.S.	INSURANCE	COMPANY	
Register	to	participate	in	validation	at:
validate.ca.com
©	2016	CA.	ALL	RIGHTS	RESERVED.
25 ©	2016	CA.	ALL	RIGHTS	RESERVED.@CAWORLD				#CAWORLD
Must	See	Demos	in	the	Mainframe	Theater:
Intelligent
Mainframe:	
Advanced	
Analytics	
CA	Mainframe	
Operations	Intelligence:
Performance	and	
Network	Mgmt
Application	Monitoring
Events	&	Automation	
Intelligent	
Mainframe:		
Event	
Management
&	Automation
CA	Mainframe	
Operations	Intelligent	
CA	OPS/MVSÂź	Event	
Management	and	Automation
Intelligent	
Mainframe:		
End-to-End	
Performance	
CA	Cross-Enterprise	APM
CA	Mainframe	Application	
Tuner	CA	UIM	for	z	Systems	
Intelligent	
Mainframe:		
Storage	
Management	
CA	Vantageℱ	Storage	
Resource	Manager	
CA	1Âź	Tape	
Management	System
26 ©	2016	CA.	ALL	RIGHTS	RESERVED.@CAWORLD				#CAWORLD
Questions?
27 ©	2016	CA.	ALL	RIGHTS	RESERVED.@CAWORLD				#CAWORLD
Thank	you.
Stay	connected	at	communities.ca.com
28 ©	2016	CA.	ALL	RIGHTS	RESERVED.@CAWORLD				#CAWORLD
Mainframe	and	Workload	Automation
For	more	information	on	Mainframe	and	Workload	Automation,		
please	visit:	http://cainc.to/9GQ2JI

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