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© 2018 SPLUNK INC.© 2018 SPLUNK INC.
Partner Executive Summit
Splunk for Industrial IoT
Ronald Perzul, Senior Sales Engineer
rperzul@splunk.com
November 21st 2018
© 2018 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. © 2018 Splunk Inc. All rights reserved.
Forward-Looking Statements
© 2018 SPLUNK INC.
▶ Industrial Data and Challenges
▶ Introduction to Splunk for Industrial IoT
▶ Splunk Industrial Asset Intelligence
▶ Good to Know
Agenda
© 2018 SPLUNK INC.
Industrial Data
and Challenges
© 2018 SPLUNK INC.
ML
Predictive
Maintenance
Condition-based
Maintenance
Preventative Maintenance
Reactive Maintenance
Real-time analytics and sensing insights
to predict machine reliability
Rules-based logic for sensor data
Scheduled and planned maintenance
based on usage and time
Fix when broken
Advanced machine learning and AI
driven maintenance
80% of Industrial Operations Are Reactive
The global process industry loses $20 billion annually from unplanned downtime*
O
E
E
Proactive,
Strategic
Operations
*ARC Advisory Group
© 2018 SPLUNK INC.© 2018 SPLUNK INC.
MANUFACTURING
Operational technology (OT) and Sensor data
Industrial controls, SCADA, actuator and other equipment
IDC estimates that by 2025, more than a quarter of data
created in the global datasphere will be real time in nature,
and real-time IoT data will constitute more than 95% of this.
Work order data
Alarms, location and inventory data
Maintenance work order processes need to be defined and
managed as an integrated part of the production order,
materials procurement and logistics processes.
Security data
Firewall data, endpoint data
A 2018 security study revealed 147 vulnerabilities in 34
separate SCADA mobile applications.
What is Machine Data?
© 2018 SPLUNK INC.© 2018 SPLUNK INC.
Industrial Data Contains Critical Insights
Sensor Data
Work Order
Alarms and
Events
05/27/2014T10:24:17GMT applicationId="safetyObs" eventType="safety" assetID="CV1002384-1045"
employeeId="114635" jobSite="PLEC-2014-GC" observationId="184568-451124-256" observation="Control Valve
handle extracted to manual position. No lockout/tagout or other tag visible. Process is running."
observationCriticality="5" imageId="PLEC-2014-GC-184568-451124-256"
imageUri="https://mybucket.s3.amazonaws.com/PLEC-2014-GC-184568-451124-256.png"
1543541, workorder, bsic, 78544, pipefitting, CV1002384, "install manual bleed bypass", 04/13/2014, 05/21/2014,
25663, complete
05/22/2014 03:17:31 Tag="CV1002384.ValvePos" Value=”50" Quality=“Good”
05/22/2014 03:17:46 Tag="CV1002384.ValveCmd" Value=”100" Quality=“Good”
05/22/2014 03:19:22 Tag="CV1002384.ValveCmd" Value=”100" Quality=“Good”
05/22/2014 03:19:27 Tag="CV1002384.ValvePos" Value=”50" Quality=“Bad”
Alarm Date Alarm Type Asset ID
Asset IDTechnician Completed
Asset IDMTBF Quality
SOURCES
© 2018 SPLUNK INC.
Introduction to
Splunk for
Industrial IoT
© 2018 SPLUNK INC.© 2018 SPLUNK INC.
Factories of the Future Need Operational
Intelligence to Survive and Compete
REAL-TIME
MONITORING
PREDICTIVE
ANALYTICS
OT
SECURITY
Data aggregation across
disparate systems
Condition based and
predictive maintenance to
reduce costs
Mitigating cyber security
risks due to outdated
software and controls
© 2018 SPLUNK INC.© 2018 SPLUNK INC.
Platform for Machine Data
Data Integrations (OPC, MQTT, Kepware, OSIsoft..)
Search and
Reporting
Machine Learning
Industrial Asset
Intelligence
Splunk for Industrial IoT
Real-time visibility and predictive analytics
Real-time
Monitoring
OT Security Predictive
Maintenance
Diagnostics and
Troubleshooting
Sensor (metric) data Unstructured (event) data
© 2018 SPLUNK INC.
Splunk Industrial
Asset Intelligence
© 2018 SPLUNK INC.
Improve Availability and Performance of
Industrial Assets
Splunk Industrial Asset Intelligence (IAI)
Gain real-time visibility across the operation
Monitor and analyze silos of data that span
historians, SCADA, EAM, purchasing and inventory
Give engineers the ability to quickly diagnose issues
Simple visualization of disparate data allows
engineers to quickly pinpoint root cause of issues
Customize for diverse set of operations
Build custom visualizations, create complex
formulas, and set real-time alerts without the need
for programming
© 2018 SPLUNK INC.
DescriptionFeature
Key Features of Splunk Industrial Asset Intelligence
Create complex calculations without using SPL
Develop visualizations of an asset, process, or
system via a drag and drop editor
Build asset hierarchies and associate data to
individual assets from disparate data sources
Set Splunk conditions (e.g., thresholds) and alerts
(e.g., SMS, email) via a graphical UI tool
Perform ad-hoc analysis of time-series data to
troubleshoot process or equipment issues
Asset
Hierarchy
Spatial
View
Formula
Builder
Conditions
& Actions
Analyze
View
1
Asset
Groups
2
3
4
5
Create & replicate visualizations, custom formulas,
KPIs and alerts across fleets/groups of assets
6
© 2018 SPLUNK INC.
IAI Walkthrough
© 2018 SPLUNK INC.
Splunk Search Processing Language (SPL)
In the past IT staff
was responsible
for data
onboarding,
creating searches
and dashboards
for non-IT users.
No more
SPL needed
© 2018 SPLUNK INC.
Drag & Drop and Self-Service UI
Now engineers can
create their own
dashboards without
programming.
After adding OEE for
Utica Pilot Line spatial
view is complete.
NEW
© 2018 SPLUNK INC.
Additional Investigation
By having a closer
look at the OEE we
can see that we
have a quality
problem.
The different views
can be linked
providing top-down
analysis and
troubleshooting.
NEW
© 2018 SPLUNK INC.
Self-Service Time-Series Analysis
Engineers can add
additional metrics or
alarms/events by
just clicking on the
element name.
Contextual
information like
alarms will be shown
using event
annotations.
NEW
Hierarchy tree
provides the option
to combine
information from
different levels or
assets.
© 2018 SPLUNK INC.
Use Formula Builder for Custom Metrics
Add fields from
different data
sources.
Select from a variety
of mathematical,
statistical, etc.
functions.
NEW
Define search span
and time window.
© 2018 SPLUNK INC.
Create Custom Alerts
Create custom
alerts and conditions
based on
thresholds.
NEW
Define trigger
conditions and
thresholds. Execute the
appropriate alert
action like eMail,
webhook or
workorder.
© 2018 SPLUNK INC.
Good to Know
© 2018 SPLUNK INC.
▶ The pricing metric for Splunk Industrial IoT is based on sensors.
▶ Sensors refer to a unit that streams a single type of numerical time-stamped data
from an asset, application or other entities.
▶ Customers get:
• Unlimited data ingestion for data generated by the sensors that are ingested into Splunk’s
metric index
• For every 1,000 sensors licensed, customers are entitled to 6GB of Daily Indexing Volume to
index unstructured data in Splunk’s event index
Splunk for Industrial IoT Licensing
© 2018 SPLUNK INC.
IoT Use Cases & References
Energy Optimization
Vessel Monitoring
Assembly Line Monitoring
Monitoring Wind Turbines
Chiller Plant Monitoring
Carpet Process Monitoring
Diagnostic equipment monitoring
Pallet Process Monitoring & Optimization
Assembly & Testing Line Optimization
Selected CustomersSelected Use Cases
© 2018 SPLUNK INC.
Splunk for Industrial IoT on Oxygen
Industrial Asset Intelligence Predictive Maintenance ICS Security
© 2018 SPLUNK INC.
Splunk Ready IoT End-to-End Solutions
▶ Drive Starter Kit for the
railway industry.
▶ First ”Splunk Ready”
End-to-End solution.
▶ Announced at Innotrans
2018.
© 2018 SPLUNK INC.
▶ This app provides 13 different use cases designed to help you gain a clearer
understanding of the impact of security incidents on Industrial Control Systems
(ICS) and how you can use Splunk to see and respond to real-world threats
immediately.
▶ https://splunkbase.splunk.com/app/4150/
Splunk Essentials for ICS Security and Compliance
© 2018 SPLUNK INC.© 2018 SPLUNK INC.
Thank you!

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Partner Exec Summit 2018 - Frankfurt: Splunk for Industrial IoT

  • 1. © 2018 SPLUNK INC.© 2018 SPLUNK INC. Partner Executive Summit Splunk for Industrial IoT Ronald Perzul, Senior Sales Engineer rperzul@splunk.com November 21st 2018
  • 2. © 2018 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. © 2018 Splunk Inc. All rights reserved. Forward-Looking Statements
  • 3. © 2018 SPLUNK INC. ▶ Industrial Data and Challenges ▶ Introduction to Splunk for Industrial IoT ▶ Splunk Industrial Asset Intelligence ▶ Good to Know Agenda
  • 4. © 2018 SPLUNK INC. Industrial Data and Challenges
  • 5. © 2018 SPLUNK INC. ML Predictive Maintenance Condition-based Maintenance Preventative Maintenance Reactive Maintenance Real-time analytics and sensing insights to predict machine reliability Rules-based logic for sensor data Scheduled and planned maintenance based on usage and time Fix when broken Advanced machine learning and AI driven maintenance 80% of Industrial Operations Are Reactive The global process industry loses $20 billion annually from unplanned downtime* O E E Proactive, Strategic Operations *ARC Advisory Group
  • 6. © 2018 SPLUNK INC.© 2018 SPLUNK INC. MANUFACTURING Operational technology (OT) and Sensor data Industrial controls, SCADA, actuator and other equipment IDC estimates that by 2025, more than a quarter of data created in the global datasphere will be real time in nature, and real-time IoT data will constitute more than 95% of this. Work order data Alarms, location and inventory data Maintenance work order processes need to be defined and managed as an integrated part of the production order, materials procurement and logistics processes. Security data Firewall data, endpoint data A 2018 security study revealed 147 vulnerabilities in 34 separate SCADA mobile applications. What is Machine Data?
  • 7. © 2018 SPLUNK INC.© 2018 SPLUNK INC. Industrial Data Contains Critical Insights Sensor Data Work Order Alarms and Events 05/27/2014T10:24:17GMT applicationId="safetyObs" eventType="safety" assetID="CV1002384-1045" employeeId="114635" jobSite="PLEC-2014-GC" observationId="184568-451124-256" observation="Control Valve handle extracted to manual position. No lockout/tagout or other tag visible. Process is running." observationCriticality="5" imageId="PLEC-2014-GC-184568-451124-256" imageUri="https://mybucket.s3.amazonaws.com/PLEC-2014-GC-184568-451124-256.png" 1543541, workorder, bsic, 78544, pipefitting, CV1002384, "install manual bleed bypass", 04/13/2014, 05/21/2014, 25663, complete 05/22/2014 03:17:31 Tag="CV1002384.ValvePos" Value=”50" Quality=“Good” 05/22/2014 03:17:46 Tag="CV1002384.ValveCmd" Value=”100" Quality=“Good” 05/22/2014 03:19:22 Tag="CV1002384.ValveCmd" Value=”100" Quality=“Good” 05/22/2014 03:19:27 Tag="CV1002384.ValvePos" Value=”50" Quality=“Bad” Alarm Date Alarm Type Asset ID Asset IDTechnician Completed Asset IDMTBF Quality SOURCES
  • 8. © 2018 SPLUNK INC. Introduction to Splunk for Industrial IoT
  • 9. © 2018 SPLUNK INC.© 2018 SPLUNK INC. Factories of the Future Need Operational Intelligence to Survive and Compete REAL-TIME MONITORING PREDICTIVE ANALYTICS OT SECURITY Data aggregation across disparate systems Condition based and predictive maintenance to reduce costs Mitigating cyber security risks due to outdated software and controls
  • 10. © 2018 SPLUNK INC.© 2018 SPLUNK INC. Platform for Machine Data Data Integrations (OPC, MQTT, Kepware, OSIsoft..) Search and Reporting Machine Learning Industrial Asset Intelligence Splunk for Industrial IoT Real-time visibility and predictive analytics Real-time Monitoring OT Security Predictive Maintenance Diagnostics and Troubleshooting Sensor (metric) data Unstructured (event) data
  • 11. © 2018 SPLUNK INC. Splunk Industrial Asset Intelligence
  • 12. © 2018 SPLUNK INC. Improve Availability and Performance of Industrial Assets Splunk Industrial Asset Intelligence (IAI) Gain real-time visibility across the operation Monitor and analyze silos of data that span historians, SCADA, EAM, purchasing and inventory Give engineers the ability to quickly diagnose issues Simple visualization of disparate data allows engineers to quickly pinpoint root cause of issues Customize for diverse set of operations Build custom visualizations, create complex formulas, and set real-time alerts without the need for programming
  • 13. © 2018 SPLUNK INC. DescriptionFeature Key Features of Splunk Industrial Asset Intelligence Create complex calculations without using SPL Develop visualizations of an asset, process, or system via a drag and drop editor Build asset hierarchies and associate data to individual assets from disparate data sources Set Splunk conditions (e.g., thresholds) and alerts (e.g., SMS, email) via a graphical UI tool Perform ad-hoc analysis of time-series data to troubleshoot process or equipment issues Asset Hierarchy Spatial View Formula Builder Conditions & Actions Analyze View 1 Asset Groups 2 3 4 5 Create & replicate visualizations, custom formulas, KPIs and alerts across fleets/groups of assets 6
  • 14. © 2018 SPLUNK INC. IAI Walkthrough
  • 15. © 2018 SPLUNK INC. Splunk Search Processing Language (SPL) In the past IT staff was responsible for data onboarding, creating searches and dashboards for non-IT users. No more SPL needed
  • 16. © 2018 SPLUNK INC. Drag & Drop and Self-Service UI Now engineers can create their own dashboards without programming. After adding OEE for Utica Pilot Line spatial view is complete. NEW
  • 17. © 2018 SPLUNK INC. Additional Investigation By having a closer look at the OEE we can see that we have a quality problem. The different views can be linked providing top-down analysis and troubleshooting. NEW
  • 18. © 2018 SPLUNK INC. Self-Service Time-Series Analysis Engineers can add additional metrics or alarms/events by just clicking on the element name. Contextual information like alarms will be shown using event annotations. NEW Hierarchy tree provides the option to combine information from different levels or assets.
  • 19. © 2018 SPLUNK INC. Use Formula Builder for Custom Metrics Add fields from different data sources. Select from a variety of mathematical, statistical, etc. functions. NEW Define search span and time window.
  • 20. © 2018 SPLUNK INC. Create Custom Alerts Create custom alerts and conditions based on thresholds. NEW Define trigger conditions and thresholds. Execute the appropriate alert action like eMail, webhook or workorder.
  • 21. © 2018 SPLUNK INC. Good to Know
  • 22. © 2018 SPLUNK INC. ▶ The pricing metric for Splunk Industrial IoT is based on sensors. ▶ Sensors refer to a unit that streams a single type of numerical time-stamped data from an asset, application or other entities. ▶ Customers get: • Unlimited data ingestion for data generated by the sensors that are ingested into Splunk’s metric index • For every 1,000 sensors licensed, customers are entitled to 6GB of Daily Indexing Volume to index unstructured data in Splunk’s event index Splunk for Industrial IoT Licensing
  • 23. © 2018 SPLUNK INC. IoT Use Cases & References Energy Optimization Vessel Monitoring Assembly Line Monitoring Monitoring Wind Turbines Chiller Plant Monitoring Carpet Process Monitoring Diagnostic equipment monitoring Pallet Process Monitoring & Optimization Assembly & Testing Line Optimization Selected CustomersSelected Use Cases
  • 24. © 2018 SPLUNK INC. Splunk for Industrial IoT on Oxygen Industrial Asset Intelligence Predictive Maintenance ICS Security
  • 25. © 2018 SPLUNK INC. Splunk Ready IoT End-to-End Solutions ▶ Drive Starter Kit for the railway industry. ▶ First ”Splunk Ready” End-to-End solution. ▶ Announced at Innotrans 2018.
  • 26. © 2018 SPLUNK INC. ▶ This app provides 13 different use cases designed to help you gain a clearer understanding of the impact of security incidents on Industrial Control Systems (ICS) and how you can use Splunk to see and respond to real-world threats immediately. ▶ https://splunkbase.splunk.com/app/4150/ Splunk Essentials for ICS Security and Compliance
  • 27. © 2018 SPLUNK INC.© 2018 SPLUNK INC. Thank you!

Editor's Notes

  1. ARC Advisory Group reported that the global process industry loses $20 billion annually from unplanned downtime. While companies have spent millions trying to address the unplanned downtime issue, until now, they have only been able to address wear- and age-based failures because they lacked insight into the process-induced failures that cause some 80% of unplanned downtime. https://www.smartindustry.com/blog/smart-industry-connect/moving-from-reactive-to-proactive-operations/
  2. We know that not just factories, but all types of industrial operations of the future need operational intelligence to compete. And specifically “data-driven” operational intelligence. And what do I mean by data-driven operational intelligence? I mean that, in today’s world, where machines are constantly communicating with one-another, and the data volumes are so significant, that it’s impossible to expect a data analyst or engineer using Microsoft Excel to comb through all that digital exhaust to discover issues. What we need to do is not replace those engineers and analysts, but make them more productive. Allow software to automatically find interesting anomalies or correlations across multiple data sources that are difficult for humans to detect. Humans are still in the loop and the software gives them a thousand additional eyes always looking out for issues. Question: There are three bubbles that highlight Splunk’s capabilities. First is around real-time monitoring of industrial assets and troubleshooting issues by bringing together disparate data sources. The second is around predictive analytics including predictive maintenance and forecasting yields or production rates, for example. And the third is around identifying and alleviating security issues in the OT network. By show of hands, 1) How many people are primarily interested in the real-time monitoring and troubleshooting of equipment issues? 2) How many are primarily looking for predictive analytics and machine learning? 3) How many are focused on securing their industrial operation? 4) How many are interested in all of the above?