4. Safe Harbor Statement
During the course of this presentaUon, we may make forward looking statements regarding future
events or the expected performance of the company. We cauUon you that such statements reflect our
current expectaUons and esUmates 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 presentaUon are being made as of the Ume and date of its live presentaUon.
If reviewed aOer its live presentaUon, this presentaUon may not contain current or accurate informaUon.
We do not assume any obligaUon to update any forward looking statements we may make. In addiUon,
any informaUon about our roadmap outlines our general product direcUon and is subject to change at
any Ume without noUce. It is for informaUonal purposes only and shall not be incorporated into any
contract or other commitment. Splunk undertakes no obligaUon either to develop the features or
funcUonality described or to include any such feature or funcUonality in a future release.
4
8. Data-Defined & Driven Service Insights
Infrastructure Layer ApplicaUon Layer
Splunk> is the missing link
• Data Fidelity
• Single Repository for ALL data
• Easier to Manage Services
• Reduced IntegraUons
• Reduced Point SoluUons
• CollaboraUve Approach
• Quick Ume to value
Data Fabric Platform
Service Intelligence
Network
Packet, Payload, Traffic,
UUlizaUon, Perf
SyntheUc APM
Availability, Capacity,
User Experience
Byte Code InstrumentaUon
Usage, Experience,
Performance, Quality
AdapUve Thresholding
Apps, Services, Systems 74%
-36%
Server
Performance, Usage,
Dependency
Storage
UUlizaUon, Capacity,
Performance
MACHINE DATA
13. IT Service Intelligence Value Stack
§ Time Series Index
§ Schema on Read
§ Data Model Core Splunk >
§ Visualizes en2re stack
§ View the en2re Ecosystem
§ 3 clicks to get the answer versus 10
Service
Model
§ Adap2ve Threshold
§ Behavior Anomaly
§ Correlates Data into Knowledge ML
Search Based
KPI’s
§ Accelerators
§ Trend aggrega2on
§ Mul2 KPI Alerts
ITSI
30. Service Intelligence Design – BuEercup 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 Sa2sfac2on
• 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
45. Final Steps …
45
Set your thresholds:
● Aggregate (All)
● Per En*ty
● 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 enUrely inside the
Green (normal) band
● Click Finish
● Other opUons are also available,
including adapUve thresholds and
anomaly detecUon
67. Call Center Service
Service Health
Transactions
ACD Analysis – Core Splunk
Call Wait History
Inbound Analysis
Social Media
Online Msg
Social Media
Mail Support
VOIP Service
Inbound Calls
68. 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
69. CIO Scorecard
Enterprise Service Status
Major Incidents
Service Health
Continuous Operational Visibility
Volume
Revenue
Incidents
Changes
Major Changes
Service Health
Volume
Revenue
Incidents
Changes
Service Health
Volume
Ontime Delivery
Incidents
Changes
Service Health
Volume
Revenue
Incidents
Changes
Service Health
Volume
Revenue
Incidents
Changes
Container Util
Service Health
Throughput
Incidents
Changes
71. 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