© 2020 SPLUNK INC.
Why ‘Digital Transformation’ via DevOps Now Requires an AIOps Strategy to Succeed
© 2 0 1 9 S P L U N K I N C .
Stephane EstevezEMEA Product Marketing Director, IT Markets, Splunk
During the course of this presentation, we may make forward-looking statements regarding
future events or plans 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 may differ materially. The forward-looking statements made in the this
presentation are being made as of the time and date of its live presentation. If reviewed after
its live presentation, it may not contain current or accurate information. We do not assume
any obligation to update any forward-looking statements made herein.
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 functionalities described or to include any such feature or
functionality in a future release.
Splunk, Splunk>, Turn Data Into Doing, 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. © 2020 Splunk Inc. All rights reserved.
Forward-LookingStatements
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Transform your information into
accessible and available 0s & 1s
Start applying those 0s & 1s to improve,
simplify & automate existing operations
Use technology to create new business
applications & do business in a new (digital) way
InformationDigitisation is the technical process of converting analog
information from a physical format to digital one
Digitalisationis the organisational process of leveraging
digitisation to improve business processes
“Digital Transformation (DT/DX)is the use of new, fast and frequently changing
digital technology to solve problems”
Digitisation vsDigitalisation vsDigital TransformationDigitize business data → Improve current business → Create new business
Digitize
filmsOnline
rental
Unlimited
streaming
91%of organizations are
engaged in some form of digital initiatives Source: Gartner 2020
01101101010011011010101011
© 2019 SPLUNK INC.
2018
#1 – Enable worker better productivity
#2 – Better manage business
performance through data availability
and visibility#3 – Meet customer experience
expectations
What does « digital-business » means to organisations?*
*Source: IDG 2018 “State of Digital Business Transformation” & : IDG “Digital business survey 2019”
2019
#1 – Meet customer experienceexpectations
#2 – Enable worker better productivity
#3 – Better manage business performance through data availability
and visibility
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CEOs in Western Europe planning ‘operational efficiencies’
to drive revenue growth
Western Europe CEOs survey*
*Source: PwC 22nd Annual Global CEO Survey (2019)
80% 51% 63%
recognize that they simply don’t have the capability to use the
data they have to make optimized decisions due to siloed data.
agree that AI will have a larger impact than the
Internet
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CEO expectations
are changing
Multi-cloud
adoption is rising
81% of public cloud users
choose 2 or more providers**
61% are using 3 or more**
Technology
becomes ephemeral
61% of microservices users have been
using it for a year or more***
38% doesn’t use containers for
Microservices (due to technical debt)***
3 out of top 5 biggest
microservices challenges are related to management complexity ***
Digital transformation
is accelerating
Digital transformation acceleration
Remote work (more cloud, virtual war rooms..)
Stronger business involvement
Pre-pandemic era The new normal
*Source: PwC 22nd Annual Global CEO Survey **Source: Gartner May 2019 ***Source : O’Reilly Microservices Adoption in 2020
New Context
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Big Data Challenges*:
- Lack of skills- Get Data In
- Inappropriate application
DevOps Challenges:
- DEVops vs DevOps- Observability
- Ephemeral / distributed architectures
Legacy tools Challenges*:
- Lack of integrations- Tool replacement
- Lack of Budget
- Too many competing prioritites
*Source: IDG 2018 “State of Digital Business Transformation” & : IDG “Digital business survey 2019”
COMPLEXITY
SPEED
VISIBILITY
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Complexity
Speed
VisibilityMore tools = more silos
INFRASTRUCTURE
APP
Cloud
Networks
Security
API
WEB Smartphones
and Devices
Custom
Applications
Storage
Servers
DB
APM
Containers /
microservices
APP logs
Syslogs
GCP
?
?
?
AWS
Azure
?
Openshift…
?
High Cardinality
?
Streaming
BIZ / SERVICE
Call center
Revenue NPS
Customer
retention
Funnel
Exec
MBO’s
Digital
Online
CloudWatch
CloudTrail
Trusted
Advisor
Systems
Manager
Azure Monitor
Log analytics
Application
insights
Metrics
Health
Monitoring
Operations
Cloud trace
Monitoring
Logging
Cloud
Profiler
Cloud APIs
MoM
APM
SIEM
Infra
monitoring
Network
Managmt
Cloud broker
Service
Managmt
Database
Managmt
VM
Managmt
Storage
Managmt
● No visibility of how tech stack components affect business goals
● Manual investigations and resolutions across siloed teams
● Need the confidence of full stack visibility
● Difficulty to access data
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Complexity
Speed
VisibilityMore layers = more complexity
INFRASTRUCTURE
APP
Cloud
Networks
Security
API
WEB Smartphones
and Devices
Custom
Applications
Storage
Servers
DB
APM
Containers /
microservices
APP logs
Syslogs
● NOISE
● NOISE
● NOISEGCP
?
?
?
AWS
Azure
?
Openshift…
?
High Cardinality
?
Streaming
BIZ / SERVICE
Call center
Revenue NPS
Customer
retention
Funnel
Exec
MBO’s
Digital
Online
tools
events
noise
noisedata
data
events
logs
metrics
traces
logs
noise
noise
tool
tool
logs
logs
data
tooldata
traces
traces
events
ITOps
DevSec
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Complexity
Speed
VisibilityMore layers = more tools
INFRASTRUCTURE
APP
Cloud
Networks
Security
API
WEB Smartphones
and Devices
Custom
Applications
Storage
Servers
DB
APM
Containers /
microservices
APP logs
Syslogs
● Lack of visibility
● Complex toolset
● Poor MTTD / MTTR
● New KPI: Mean Time to
Innocence
GCP
?
?
?
AWS
Azure
?
Openshift…
?
High Cardinality
?
Streaming
BIZ / SERVICE
Call center
Revenue NPS
Customer
retention
Funnel
Exec
MBO’s
Digital
Online
Service
OwnersDevCloud
Admin
SysAdmin
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Time for AIOPs?
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To Combat Digital Transformation challenges, AIOps: • Brings together data from multiple sources
• Simplifies data analysis
• Automates response
• Avoids downtime (improving customer satisfaction)
• Brings together data that had previously been siloed (better analysis)
• Accelerates root-cause analysis (saves time & resources)
• Proactively identifies and prevent errors (focusing team on higher value tasks)
• Improves forecasting for system an application growth (to meet demand)
• And more
Key business benefits of AIOps:
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AIOps at Splunk
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Online Services
Networks
Security
Call Detail Records
WebServices
Telecoms
Web Clickstreams
Online Shopping Cart
Smartphones and Devices
CustomApplications
Energy Meters
Storage
Servers
GPS Location
RFID
Databases
Messaging
Firewall
APM
Tracing
Social
Media
Containers
TURN DATA INTO DOING
TO EVERYONE
Drive new revenue
Launch new products
Improve Business process
Meet SLAs
Reduce app Time to Market
Secure my organization
Move to predictive / proactive IT
Get full-stack Observability
Service Manager
Product Owner
CISO
DevOps
Process Engineer
Operations Manager
NOC
COOWHAT WE DO:
© 2018 SPLUNK INC.
How to find a needle in multiple haystacks?(choose your tool)
Network?
Database?
Middleware?
Hardware?
Wrong
command?
Connection?
Apache?VM?
Mainframe?
Load balancer?Code?
Collect ALL data
• Collect from all silos
• Data in original raw format
• Add open sources apps to
ingest data on the fly
• Schema on the fly• Dynamic thresholding
• Realtime correlation
Clustering & aggregation
• Real time event
clustering/correlation
• Reduce alert noise
• Behavioural analytics
• Deduplication
Add context
• Measure / report on
indicators that matters
• Add service / business
context
• Add actionable information to detection
Salessso
Claims
Anomaly detection
• Catch issues that thresholds cannot
• Reduce event clutter
• Deviation from past behaviour
• Deviation from peers
• Unusual change in features
Assisted deep dive
investigation
• Root cause analysis• Powerful & easy to use
search & investigate
language
?
Predictive
Analytics• Predict service health
• Predict events• Trend forecasting• Detect influencing
entities• Early warning of
failure
70% to 90%Reduction in investigation time
15% to 45%Reduction in high priority incidents
67% to 82%Reduction in business
impact
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Fully customizable glass tables
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Examples: ML Applied to IT Operations
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• Needed to pare down thousands of alerts and events from many silos (applications, security, network…)
• Needed real-time correlation and rule engine to automate event handling
“There are days when you get a flood of events; Splunk
ITSI prioritizes the events, gives you insight into not only
that this is broken but what’s been affected right as you
look at the alert screen,” Don Mahler, Director of Performance
Management, Leidos
20 management
systems
120 IT
services
240
Locations
5000
Daily
alerts
50
Tickets
-97% event
noise
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Examples: ML Applied to IOT
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“We are the trusted service team who
effectively anticipates, enables and
supports technology solutions for our
customers…”Brian King, SVP and Chief, Technology Services & Operations
Predicting Cell congestion to avoid:
• Customer unsatisfaction
• Revenue loss
• Cost of troubleshooting
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“The spark plug is among the most
strained components of an engine. If
it fails, the motor shuts down. We
wanted to provide our customers with
a solution that helps to prevent the
imminent failure of a spark plug
sometime in advance.”Andreas Zientek, Systems Engineer
Zeppelin deployed Splunk to replace a monitoring tool that was no
longer fit for purpose. Expanding to new use cases such as Internet of
Things (IoT) was a natural extension. With the help of Splunk’s Machine
Learning Toolkit, Zeppelin predicts future failures in spark plugs — the
leading cause of power plant shutdowns.
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Digital Transformation with SplunkCustomer Examples
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“Porsche’s goal is to deliver a premium digital experience centred around its customers.”
From Factory (shop floor) to the New Taycan…
https://www.youtube.com/watch?v=1KkP2Iicjhk
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Porsche Connect
Event logs & customer journey analysis
Digital journey predictive analytics
Charging stations management
Next charging station location prediction
Porsche: From 1 to 60+ projects in 2 years
Shop floor analytics (factory – industry 4.0)
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Operationalizing ML Single PlatformData “as it is”Any data,
Any scale,
Any location
WHY SPLUNK FOR DIGITAL TRANSFORMATION AND AIOPS?
Start
small
1 high
value app /service
Measure
success
Repeat
Thank You
© 2020 SPLUNK INC.