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1
WiFi
Splunk
splunk2017
Copyright	©	2017	Splunk	Inc.
Building
Service	Intelligence	with
Splunk	IT	Service	Intelligence
Tom	Harrop
IT	Markets	Specialist
Monday,	March	20,	2017
Michael	Donnelly
ITOA	Architect
Agenda
3
u Introductions	and	Set	Up
u Splundamentals – IT	Troubleshooting	with	Splunk
u What	is	IT	Service	Intelligence?
u Service	Intelligence	Design	Practices	
u Let's	Play!	
u What's	Next?
u Happy	Hour!
4
Safe	Harbor	Statement
During the course of this presentation, we may make forward looking statements regarding future events
or the expected performance of the company. We caution you that such statements reflect our current
expectations and estimates based on factors currently known to us and that actual events or results could
differ materially. For important factors that may cause actual results to differ from those contained in our
forward-looking statements, please review our filings with the SEC. The forward-looking statements
made in this presentation are being made as of the time and date of its live presentation. If reviewed
after its live presentation, this presentation may not contain current or accurate information. We do not
assume any obligation to update any forward looking statements we may make. In addition, any
information about our roadmap outlines our general product direction and is subject to change at any
time without notice. It is for informational purposes only and shall not be incorporated into any contract
or other commitment. Splunk undertakes no obligation either to develop the features or functionality
described or to include any such feature or functionality in a future release.
Key Takeaways
Build	on	what	you	are	already	doing	with	Splunk
Service	Intelligence	design	and	configuration	practices
What	is	possible	with	Splunk IT	Service	Intelligence
Splundamentals – IT	
Troubleshooting	with	
Splunk
Challenging Traditional Methods
Network
Infrastructure	Layer
Storage
Server
74%
-36%
Application	Layer
Synthetic	APM
Byte	Code	
Instrumentation
Adaptive	
Thresholding
Service	Model	definition
&	Correlation	Engine
Business Layer
Aggregation/Correlation/Visualization
Service Layer
Challenges
• Too	many	disparate	components
• Difficult	to	define	Service	Model
• Labor	intensive
• Most	implementations	fail
• Very	important	source	is	
missing!	(machine	data)
Data-Defined & Driven Service Insights
Infrastructure	LayerApplication	Layer
Splunk> is	the	missing	link
• Data	Fidelity
• Single	Repository	for	ALL	data
• Easier	to	Manage	Services
• Reduced	Integrations
• Reduced	Point	Solutions
• Collaborative	Approach
• Quick	time	to	value
Data Fabric Platform
Service Intelligence
Network
Packet,	Payload,	Traffic,	
Utilization,	Perf
Synthetic	APM
Availability,	Capacity,	
User	Experience
Byte	Code	Instrumentation
Usage,	Experience,	
Performance,	Quality
Adaptive	Thresholding
Apps,	Services,	Systems74%
-36%
Server
Performance,	Usage,	
Dependency
Storage
Utilization,	Capacity,	
Performance
MACHINE	DATA
Splunk	Approach	to	Machine	Data
9
Structured
RDBMS
SQL
Schema	on	Write
Traditional
ETL
Search
Schema	on	Read
Splunk
Universal	Indexing
Volume Velocity Variety
Unstructured
• Define	Static	schema
• ETL	into	Schema
• Enrich	at	write
• New	data	=	new	columns
• New	questions	=	new	columns
• “Data	at	rest”	(delayed	info)
• Labor	Intensive	&	time	consuming
Ideal	for	Reporting
• “Schema-on-the-Fly”
• Data	in	native	format
• Enrich	at	read
• New	data	=	no	changes	needed
• New	questions	=	no	changes	needed
• “Data	in	motion”	(Real	time)
• Fast	time	to	value
Ideal	for	Investigation
Listen	to	your	data
Let’s	take	a	closer	look	at	IT	troubleshooting	with	Splunk
10
Machine	learning-powered	analytics	for	real-time	service	
insights,	simplified	operations	and	root-cause	isolation
Defining	Service	Intelligence
Enabling	a	business-aware	IT
Measuring	and	reporting	on	indicators	that	matter	
Unlocking	operational	efficiencies
Collaborating	across	silos	to	improve	service	operations
Data-based	decision	making
Solving	problems	and	anticipating	pitfalls	with	
sophisticated	analytics	and	powerful	insights
IT	Service	Intelligence	Value	Stack
§ Time	Series	Index
§ Schema	on	Read
§ Data	Model
§ Visualizes	entire	stack
§ View	the	entire	Ecosystem	
§ 3	clicks	to	get	the	answer	versus	10
Service	
Model
§ Adaptive	Threshold
§ Behavior	Anomaly
§ Correlates	Data	into	KnowledgeML
§ Accelerators	
§ Trend	aggregation
§ Multi	KPI	Alerts
ITSI
The	possibilities	for	Business…
The	possibilities	for	IT	Operations…
Service	Health
What	is	a	Service?
Service
Requests
Responses
In	ITSI,	a	Service is	a	logical	group	of	technology	components	that	a	user	
deems	need	to	be	monitored	together.
It	can	often	be	generalized	as	a	“black	box”	which	we	send	requests,	and	
expect	responses
18
What	is	a	Service?
DNS
Requests
Responses
Technical	Services
Auth
Requests
Responses
Web
Requests
Responses
Services	can	be	lower	level	(technical)	…
19
What	is	a	Service?
DNS
Requests
Responses
Technical	Services
Order	Entry
Volume
Revenue
Business	Services
Auth
Requests
Responses
Web
Requests
Responses
Customer	
Care
Requests
SLA	Compliance
Services	can	also	be	higher	level	(business)	…
20
What	is	a	Service?
Packet	Network
Hypervisor	and	Hosts
RBMDBs
Storage	Tier
API	Services
Web	Services
Customer	Transactions
Mobile	
API/Middleware
Business	Function
DNS
Services	can	encompass	multiple	tiers	of	the	IT	domain.		
Services	may	also	depend	upon	other	services
21
What	is	a	KPI?
DNS
KPI:	Request	volume
KPI:	Error	rate
KPI:	Average	response	time
KPI:	Server	CPU	load
KPI:	Configuration	changes
Customer	
Transactions
KPI:	Transaction	volume
KPI:	Error	rate
KPI:	Average	response	time
KPI:	Max	response	time
KPI:	Count	of	Change	records
KPIs	and	Health	scores	constitute	the	means	by	which	
Services	are	monitored.
22
Business	
Function
KPI:	Business	volume
KPI:	Error	rate
KPI:	Revenue	rate
KPI:	Conversion	rate
KPI:	Count	of	Incident	tickets
Key	Performance	Indicators	(KPIs)
23
A	Key	Performance	Indicator	(KPI)	is	powered	by	a	Splunk search	in	ITSI	that	
monitors	a	specific	attribute	like	CPU	utilization,	Response	Time,	Number	of	
Errors	and	so	on.			KPIs	are	contained	within	Services	to	measure	their	health.
Service	Health	Scores
24
A	Health	score	is	a	score	form	0-100	(0	being	critical	and	100	being	normal)	
that	measures	the	health	of	a	Service.		It	is	calculated	based	on	all	KPIs	
importance	and	its	status	(e.g.	green,	orange,	red),	once	every	minute.
Splunk IT	Service	Intelligence
Let’s	take	a	closer	look	at	Service	Intelligence	with	Splunk
25
Service	Intelligence	
Design	Practices
26
Bring	Subject	
Experts	Together
Design	Before
Configuring
Best	Practices	for	Service	Intelligence
Start	With	a	
Problem	Worth	
Solving
The	Business	Problem	for	Buttercup	Games	
Supply Chain
Limited	Visibility
Online
Store
Poor	Customer
Satisfaction
ERP
Frequent	
Bottlenecks
Failed
Interactions
War	Room	
Escalations
Business
Impact
$48K	/	Week
Lost	Revenue
Service	Decomposition
Infrastructure	Layer
Power	/	Cooling	/	Facilities
Server	–Networking	–Storage
Service	Layer Business	Service
Application	Layer
Middleware	–Application	Server	-Database
Custom	Apps
Business	Layer
Mail	Transport	-Order	Processing
E-Commerce	-Financials
Service	Intelligence	Design	– Buttercup	Games
Infrastructure Layer
Application Layer
Business Layer
Service Layer
Order	Entry Manufacturing Shipping Fulfillment
Supply	Chain
Online	Store EDI
Web	Tier Middleware
• Total	Orders
• Total	Revenue
• Unit	Count
• Unit	Failures
• Service	Level • Delivery	Time
• Online	Orders
• Online	Revenue
• Response	Time
• ServiceHealth
• Incidents/Changes
• Customer	Satisfaction
• HTTP	Hits
• Error	Rate
• CPU	Load
• Memory	Used
• Disk	Used
• IO	Latency
• CPU	Load
• Memory	Used
• Disk	Used
• IO	Latency
• Response	Time
• Error	Rate
• Response	Time
• Storage	Free
Service	Intelligence	Design	in	ITSI
1. High-value	business	services
• Buttercup	Games	Online	Store	and	Supply	Chain
2. Major	business	functions
• Order	Entry,	Manufacturing,	Shipping	Fulfillment
3. Supporting	services
• Web,	Middleware,	Database
4. Relevant	KPIs	for	each	service
• Database:,	errors,	SQL	hits,	…)
5. Splunk search	for	each	KPI
• (index=DB	(warn*	OR	error*)	|	stats	count)
31
Typical	Data	Sources
Infrastructure Layer
Application Layer
Business Layer
Service Layer
Order	Entry Manufacturing Shipping Fulfillment
Supply	Chain
Online	Store EDI
Web	Tier Middleware
• Application	Logs
• Corporate	Databases
• Service	Management
• Application	Logs
• Webserver	Logs
• DB	Perf Counters
• Wire	data
• Perf Counters
• Access	Logs
• Network	Logs
Copyright	©	2017	Splunk	Inc.
Let’s	Play!
Setting	up	Service	Intelligence
Service	Visibility	in	ITSI
34
CLICK
“Glass	Tables”
Service	Visibility	in	ITSI
35
CLICK	(open	in	new	tab)
“Buttercup	Games	
Business	Process	(IN	
PROGRESS)”
Service	Visibility	in	ITSI
36
CLICK	(open	in	new	tab)
“Buttercup	Games	
Online	Store”
Goal	1:	Supply	Chain	Visibility
37
Goal	2:	Online	Store	Process	Flow
38
New	Requirements!
39
● Create	a	new	KPI	for	the	DB	Service:	
● Network	Utilization	
● Modify	the	Executive	Glass	Table
in	order	to	show	off	the	services
you	slave	over	
“WE	only	have	about	15min	
TO	DO	WHAT	???!!???”
Think	about	how	long	this	
would	take	you	today?
40
Configuration	of	DB	Service
Click Configure >	
Click Services
Let’s	Talk	Entities
41
● Select Database	Service
● Entities	are	the	relevant	things	which	support	
this	service	(usually	hosts)
● Select	the	right	entries	with	filters,	ANDs,	ORs
● Original	Entity	list	can	come	from	CMDB,	
spreadsheet,	Splunk	search,	others
A	KPI	in	5	minutes?	Absolutely!
42
Click	New	– Generic	KPI
Select Data	Model
● Host	Operating	System
● Network
● #	bytes
● Next	
Call	it	“Network	Utilization”,
with	your	username up	front
KPIs	Continued….	
43
Splunk	Builds	Searches	for	you	–
Oh	Yeah,	that’s	happening	J
● Select Yes	for Split	by	& Filter	options
● Select host	for Entity	Lookup	& Alias	options
● Click Next
Almost	There…
44
Select
● KPI	Search	Schedule:	Every	Minute	
● Entity	Calculation:	Average
● Service/Agg	Calculation:	Average
● Calculation	Window:	Last	Minute
● Click Next	
● Unit:	Bps
● Click Next
Final	Steps	…
45
Set	your	thresholds:	
● Aggregate	(All)	
● Per	Entity		
● Click “Add	Threshold”	TWICE
● Make	the	Neapolitan	ice	cream	colors	
Yellow,	Green,	Yellow
● Drag	the	sliders	around	in	order	to	get	
the	current	data	graph	entirely	inside	the	
Green	(normal) band
● Click Finish
● Other	options	are	also	available,	
including	adaptive	thresholds	and	
anomaly	detection
Adaptive	Thresholds
46
What	if	your	KPI	data	looks	like	this?
47
Adaptive	Thresholds
Static	thresholds	will	not	work…
48
Adaptive	Thresholds
Adaptive	Thresholding	works	beautifully	with	cyclical	(and	other	dynamic)	data
Anomaly	Detection	
49
● Machine	Learning
● “Trending”	detects	deviations	for	
aggregate	KPI	based	on	historical	trends
● “Entity	Cohesion”	detects	entities	which	
deviate	from	“pack”	behaviour
Let’s	Fix	that	Glass	Table
50
Clone	the	Glass	Table
51
Return	to	Saved	Glass	Tables	page	
(click on	Glass	Tables	in	the	upper	menu	bar)
CLICK	Edit for	“Buttercup	Games	Business	Process	(IN	
PROGRESS)”
• Select Clone
• Title:	Add your	username	
to	the	front
• Permissions:	Shared	in	App
• Click Clone	Page
• Click on	your	new	Glass	Table
from	the	list,	to	view	it
Edit	&	Have	Fun!
52
Click	on	Edit in	the	upper	right	corner	of	your	Glass	Table
Use	the	“Services”	panel	on	the	left	to	select	Individual	KPIs,	
or Aggregate	Service	Health	Scores
• Choose	2	KPIs	from	Online	Store that	would	be	useful	in	
the	“Order	Process”	section
• Drag	the	selected	widgets	onto	the	canvas,	positioning	in	
the	gray	oval
• What’s	the	difference	between	the
and tools	at	the	top	left?
More	Fun	with	the	Glass	Table	Editor…
53
Use	the	Configurations panel	on	the	right	to	edit	a	
selected	widget
• Can	change	the	visualization	type,	drilldown	
behavior,	and	other	settings
• You	should	hit	Save frequently
• Revert	All	Changes	can	be	helpful,	occasionally
Finishing	up	…
54
• Add	a	ServiceHealthScore widget	for	Online	
Store	under	Buttercup
• Choose	a	Viz	Type	with	a	sparkline	graph,	then	
resize	to	make	it	look	pretty
• Modify	the	Custom	Drilldown	action	to	go	to	
the	saved	glass	table,	
Buttercup	Games	Online	Store
• Bonus	Points:	Make	the	label	bigger,	more	
readable
• Click Save
• View when	done
Copyright	©	2017	Splunk	Inc.
Let’s	Play!
A	Troubleshooting	Exercise
A	Troubleshooting	Exercise
56
Let’s	use	ITSI	to	troubleshoot	an	outage	
● Start	at	your	Glass	Table,	“<UserName>	Buttercup	Business	Process”
● Customer	Care	reports	that	unhappy	customers	are	complaining	of	failures	
and	long	delays	when	trying	to	purchase
● The	calls	began	coming	in	at	around	the	top	of	the	last	hour.
● In	the	upper	right	corner	of	the	Glass	Table,	change	the	time	picker	from	Now
to	XX:00:00.0,	where	XX	is	the	previous	hour.		For	example,	if	it	is	currently	
14:05,	set	the	time	picker	to	13:00:00.0,	then	Apply
● This	is	how	we	can	“time	travel”	back	to	see	conditions	at	a	particular	
outage– oh	yeah!
A	Troubleshooting	Exercise,	cont’d
57
● The	Online	Store	seems	to	be	degraded,	just	as	Customer	Care	reported.		
Click	on	the	widget	under	Buttercup	to	drill	down	further
A	Troubleshooting	Exercise,	cont’d.
58
● The	Online	Store	Glass	Table	shows	a	much	more	detailed	view,	including	the	impacted	customer-facing	KPIs	
at	the	far	left	(Revenue,	etc)	
● Based	on	this	view	of	all	the	relevant	
services,	where	do	you	think	the	root	cause	
lies?		
● Which	service	should	we	troubleshoot	first?
● Click	on	Health	widget	for	that	service,	to	
drill	down	to	a	Deep	Dive
Deep	Dive
59
● Deep	Dive	shows	multiple	KPIs	and	Health	Scores	in	parallel	“swim	
lanes”.
● The	Health	Score	for	this	Service	is	the	top	swim	lane.		Can	you	see	
when	it	begins	to	degrade	from	100%?
● Mousing	over	this	point	in	time,	can	you	spot	the	KPI	with	the	
leading	fault	indication,	i.e.,	what	failed	first?
● To	improve	readability,	make	sure	the	
Primary	Time	Range	(upper	right	corner)	is	
set	to	Relative>	Earliest:	2	Hours	Ago
Multi-KPI	Alerts	and	Notable	Events
60
● Click on	Notable	Events	Review
● Multiple	KPIs	and	Healthscores	can	
be	combined	in	sophisticated	ways	
to	create	Multi-KPI	alerts
● When	a	Multi-KPI	alert	fires,	one	
of	the	outcomes	is	the	creation	of	
a	Notable	Event
● Notable	Events	allow	NOC	
personnel	and	others	to	triage	and	
coordinate	event	management	
efforts
Service	Analyzer
61
● Click on	Service	Analyzer	> Default	Service	Analyzer
● Back	where	we	started!
● This	view	shows	a	“no-frills”	list	of	
services	(top)	and	hottest	KPIs	
(bottom)
● Provides	access	into	Service	Details
● It	is	useful	for	NOCs	and	others	
who	need	a	high-level	situational	
view
Copyright	©	2017	Splunk	Inc.
Let’s	Play!
Advanced	Exercises
Summary
63
● High-value	services	can	be	decomposed	and	modeled	in	ITSI,	using	machine	data	
from	the	relevant	systems
● Services and	KPIs can	be	created	in	minutes,	with	sophisticated	thresholding	
techniques	to	distinguish	“normal”	from	“not	normal”
● Glass	Tables	allow	service	health	and	KPI	metrics	to	be	displayed	in	a	way	that	
makes	sense	to	specific	groups,	such	as	Executive	Leadership,	Business	Service	
Owners,	the	NOC,	DevOps	&	Others
● Deep	Dives	allow	KPIs	to	be	compared	side-by-side	across	any	time	range,	
accelerating	root	cause	analysis	and	significantly	reducing	MTTR
● Multi-KPI	Alerts	and	Notable	Events	reduce	alert	noise,	producing	actionable	
events	and	a	means	to	manage	them
● …	and	it’s	fast+fun to	build!
What	our	ITSI	
Customers	are	
doing
Splunk IT	Service	Intelligence
Machine	Learning-Powered,	Analytics-Driven	IT	Operations
Simplify	service	operations	
Prioritize	incidents	with	context Redefine	the	role	of	IT
Combine	events	&	metrics	
across	silos	with	ease,	
flexibility	&	scale	in	days
Unify	siloed monitoring	
Leverage	machine	learning	to	
detect	anomalies	&	highlight	
events	that	matter	
Deliver	business	&	service	context	to	prioritize	
incident	investigation	&	action
Support	decisions	&	communicate	results	
with	powerful	service-level	insights
Copyright	©	2017	Splunk,	Inc.
Splunk’s	Solution:	A	lens	could	be	multiple	
processes…
All	the	scores	are	time	based	KPI’s	
or	nested	sub	processes	that	are	
searching	in	real	time	for	some	
relevant	condition	of	interest.
These	are	Heath	Scores	– a	high	level	aggregation	of	the	health	of	the	underlying	processes.		
All	the	scores	are	color	coded	to	convey	if	
they	are	“normal”	or	“abnormal”	based	on	
your	criteria	OR	Splunk’s Packaged	Machine	
Learning,	enabled	with	an	ON/OFF	switch.
This	shows	how	‘Glass	
Tables’	can	visualize	
key	performance	
indicators	and	health	
scores	that	combine	
data	from	diverse	
sources.	
This	example	is	an	
abbreviated	‘Book	to	
Bill’,	or	sometimes	
called	‘Order	to	Cash’	
business	process.
Call Center Service
Service Health Transactions
ACD Analysis – Core Splunk
Call Wait History
Inbound Analysis
Social Media
Online Msg
Social Media
Mail SupportVOIP Service
Inbound Calls
Online Transactions
Internal Transfer Service
External Wire Service
Money Exchange Service
Money Transfer Services
Service Health Corporate
Reconciliation Service
Fed Exchange Service
Core Splunk Searches
Transaction History
System Investigation
Heat Map Analysis
The	Vision	- Business	Operations	Center
• Splunk	ITSI	has	the	fundamentals	to	deliver	on	the	promise	of	real	time	business	visualizations
• Modeled	after	your	Security,	Network,	and	IT	Operations	Centers
• Monitoring	and	diagnosis	of	important	ecommerce	and	brick	and	mortar	operations
• Enhanced	with	process	insight	from	end-to-end,	alerts,	machine	learning	and	real-time	response
NOC
SOC
BOC
Sign Up Now – We’re here to help!
Harness the creativity and domain knowledge of your
organization to unlock the value of data and solve an
important Business Service problem through a joint service
intelligence workshop with key stakeholders
Define methods for:
› Proactive service monitoring
› Reduced risk and failures
› Faster issue resolution
› Increased business performance
What is it?
› 1 Day Onsite Workshop
› Tightly linked with value
› Collaborative approach
› Build your own Glass
Table
Our Workshop InAction
Bring	your	subject	
experts	together
Conduct	a	Service	
Intelligence	
workshop
Your	Mission,	should	you	choose	to	accept	it…
Find	a	problem	
worth	solving	in	
your	enterprise
Reference Stuff
74
● ITSI	Sandbox	Guide:	(An	app	on	your	ITSI	instance)
● ITSI	Documentation:	
http://docs.splunk.com/Documentation/ITSI
Thank You
Tom	Harrop
tharrop@splunk.com
https://www.surveymonkey.com/r/GDM9KXR
Michael	Donnelly
mdonnelly@splunk.com
Please	fill	out	the	Survey:

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