Splunk Forum Frankfurt - 15th Nov 2017 - AI Ops
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© 2017 SPLUNK INC. © 2017 SPLUNK INC. NOVEMBER 15 | FRANKFURT
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Transcript of Splunk Forum Frankfurt - 15th Nov 2017 - AI Ops
© 2017 SPLUNK INC.© 2017 SPLUNK INC.
NOVEMBER 15 | FRANKFURT
© 2017 SPLUNK INC.
Der Mehrwert aus Daten-getriebener Service Intelligence (AI Ops)
NOVEMBER 15 | FRANKFURT
Peter Swart | Business Value Consultant
René Siekermann | IT Markets Specialist EMEA
© 2017 SPLUNK INC.
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.
Splunk, Splunk>, Listen to Your Data, The Engine for Machine Data, Splunk Cloud, Splunk Light and SPL are trademarks and registered trademarks of Splunk Inc. in
the United States and other countries. All other brand names, product names, or trademarks belong to their respective owners. © 2017 Splunk Inc. All rights reserved.
Forward-Looking Statements
THIS SLIDE IS REQUIRED FOR ALL 3 PARTY PRESENTATIONS.
© 2017 SPLUNK INC.
Challenges Facing Today’s IT
High cost of IT Operation
Inefficient use of resources
Lower customer satisfaction
Lost revenue
$$
$
© 2017 SPLUNK INC.
Desired Outcomes for IT Operations
Reduce tool complexity and
costs
Become more proactive
Use resources efficiently
Optimize the consumer experience
© 2017 SPLUNK INC.
Integration Approach to IT Management
Network Infr
astr
uctu
re
Packet, Payload, Traffic,
Utilization, Perf
Storage
Utilization, Capacity,
Performance
Server
Performance, Usage,
Dependency
Ap
p &
Serv
ice
User Experience
Usage, Response Time,
Failed Interactions
Byte Code Instrumentation
Usage, Experience,
Performance, Quality
Business Performance
Corporate Data, Intake,
Output, Throughput
Challenges
▶ Many disparate components
▶ Brittle integrations
▶ Data is summarized and lost
▶ Longer root-cause identification
▶ End-to-end view challenging
▶ Labor-intensive to manage
▶ Not agile enough for digital businessEVENTS
Event Layer
Event Management
METRICS
Service Layer
BSM/Dashboard
Tools
© 2017 SPLUNK INC.
Collecting and analysing this data has never been so easy
Network
Infr
astr
uctu
re L
ayer
Packet, Payload, Traffic,
Utilization, Perf
Storage
Utilization, Capacity,
Performance
Server
Performance, Usage,
Dependency
Ap
plica
tio
n L
ayer
User Experience
Usage, Response Time,
Failed Interactions
Byte Code Instrumentation
Usage, Experience,
Performance, Quality
Business Performance
Corporate Data, Intake,
Output, Throughput
Splunk Approach:
▶ Single repository for ALL data
▶ Data in original raw format
▶ Machine learning
▶ Simplified architecture
▶ Fewer resources to manage
▶ Collaborative approach
MACHINE
DATA
© 2017 SPLUNK INC.
Worldwide IT Operations Analytics SoftwareMarket, 2016
Market-share
leader for the 3rd
consecutive
year
© 2017 SPLUNK INC.
AIOpsCommon technologies and data sources in use today
© 2017 SPLUNK INC.
10
ML and Advanced Analytics
Machine Learning SPL commands – fit, apply, summary, sample…
Machine Learning Toolkit– Guided Machine Learning modeling app
Access to full Python Data Science Library
25+ algorithms supported out of the box
ML built into the platform and into our Premium Solutions
Behavior baselining & modeling
Anomaly Detection (30+ models)
Advanced threat detection
Uni-variate and Multi-variate Anomaly
Detection
Adaptive Thresholding
Built in service/KPI management
Partner AppsScianta ML Platform
Uses ML Toolkit for Signal Analysis
© 2017 SPLUNK INC.
Further investments in ML
ITOA Security
© 2017 SPLUNK INC.
Artificial Intelligence for IT Operations
Powered by machine learning and analytics for real-time service insights,
simplified operations and root-cause isolation
© 2017 SPLUNK INC.
What Is 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
© 2017 SPLUNK INC.© 2017 SPLUNK INC.
Splunk ITSI: Multiple Use Cases, One Solution
SERVICE INSIGHTS EVENT ANALYTICS
Service health scores
calculated from KPIs
Baseline KPI trends based
on operational patterns and
identify abnormal conditions
Organized view of KPIs
and trends for fast triage
and analysis
Deep insights into
technology domains to
speed investigation
Machine learning to reduce
noise and find alerts on root
causes of issues
Initiate incident response
and remediation actions
Service insights on events to
prioritize triage and
investigation
Sophisticated analytics and
incident workflow to
automate managing events
© 2017 SPLUNK INC.
Demo
© 2017 SPLUNK INC.
What we just saw…
Adaptive Thresholds Anomaly Detection Event Correlation
Manage and maintain KPI thresholds by dynamically adapting to changing operational patterns
Catch issues that thresholds can’t—baseline normal operations and alert on anomalous conditions
Reduce event clutter, false positives and rules maintenance by auto-grouping related events
© 2017 SPLUNK INC.
▶ Modelling on ITSI Services and KPIs
▶ Predictive Analytics for future Service Health Scores
▶ Proactive alerting integrated into the ITSI notable events framework
▶ Identify leading indicators for possible service degradation
Predict Service Health Score andPrevent Outages with Machine Learning
https://www.splunk.com/blog/2017/08/28/itsi-and-sophisticated-machine-learning.html
© 2017 SPLUNK INC.
How Does This All Translate Into Tangible Benefits And Value For
Your Organization?
Splunk> Business Value Consulting Team
Peter Swart, Director EMEA
© 2017 SPLUNK INC.
“There is a light and it never goes out”
The Smiths, 1986
© 2017 SPLUNK INC.
Operations
Monitoring
Operations
Bridge
Event
Management
Incident
Management
OLA’s SLA’s
Customer
Service Level
Management
Problem
Management
Change
Management
Capacity
Management
Design +
Plan +
Improve
Services
© 2017 SPLUNK INC.
Operations
Monitoring
Operations
Bridge
Event
Management
Incident
Management
OLA’s SLA’s
Customer
Service Level
Management
Problem
Management
Change
Management
Capacity
Management
Design +
Plan +
Improve
Services
Total Effort
© 2017 SPLUNK INC.
Operations
Monitoring
Operations
Bridge
Event
Management
Incident
Management
OLA’s SLA’s
Customer
Service Level
Management
Problem
Management
Change
Management
Capacity
Management
Design +
Plan +
Improve
Services
1. # Incidents
2. MTTR Negative Business Impact
3. Total Effort
© 2017 SPLUNK INC.
Operations
Monitoring
Operations
Bridge
Event
Management
Incident
Management
OLA’s SLA’s
Customer
Service Level
Management
Problem
Management
Change
Management
Capacity
Management
Design +
Plan +
Improve
Services
1. # Problems
2. Total Effort
3. # Incidents
© 2017 SPLUNK INC.
Operations
Monitoring
Operations
Bridge
Event
Management
Incident
Management
OLA’s SLA’s
Customer
Service Level
Management
Problem
Management
Change
Management
Capacity
Management
Design +
Plan +
Improve
Services
© 2017 SPLUNK INC.
Operations
Monitoring
Operations
Bridge
Event
Management
Incident
Management
Customer
Service Level
Management
Problem
Management
Capacity
Management
Design +
Plan +
Improve
Services
1. Incident Analysis / Deep-dive
2. Compliance with SLA’s
3. Customer Satisfaction / Contract renewals
4. Capacity Optimization
5. Continuous Service Improvement
© 2017 SPLUNK INC.
Operations
Monitoring
Operations
Bridge
Event
Management
Incident
Management
Customer
Service Level
Management
Problem
Management
Capacity
Management
Design +
Plan +
Improve
Services
1. IT Ops AI
2. Business AI
Business
Analytics
IoT
Industry 4.0
© 2017 SPLUNK INC.
Machine
Learning on
Events at
the World
Bank
© 2017 SPLUNK INC.
Thanks to the integrated machine learning in Splunk ITSI, we now have a reduced number of events to process and the streamlined event analytics framework allows us to process events eight minutes more quicklyLaurent Amouroux,
Technical Director
Econocom Infrastructure Management Services
15% increased
SLA Performance
60% reduction
In number of events
10x reduction in number of system
performance events through
machine learning
© 2017 SPLUNK INC.
This aligns directly with a company’s top priorities
Drive revenue
95% passengers through
security >5 mins
> spending more time
shopping
High inventory waste and
food going stale
> immediate sales
insight
Lower cost
Hard to get threat
insights
> real-time security
response
Reduce
risk
Negative impact of outage
at peak times
> improved business
& customer insight
Customer experience
© 2017 SPLUNK INC.© 2017 SPLUNK INC.
THANK YOU.
