SlideShare a Scribd company logo
1
Leveraging IoT as part of
your digital transformation
John Archer
Chief Architect Energy
Red Hat
John Archer
Chief Architect Energy
● Edge and Data Science
● Upstream Data Management
● Energy Trading
● DoD/Healthcare/eCommerce/Legal
● OSPO/OSS Strategy
● Standards & Energy Communities
● Nascent Woodworker
● Award winning BJCP 20A Beer
3
The big themes we’re hearing from customers now
Faced with massive
scaling and capacity
demands
Business has dropped off
and our existing business
model is under threat
Working to protect our
current business model
and prepare for future
Reduce costs and liabilities
and maintain business
viability
Respond in an agile way to
market conditions
Accelerate the business
without risking stability
4
How does my organization become
more resilient?
5
It’s creating some knee jerk reactions
“Put it all in the cloud even faster!”
of complex large-scale
change programs
FAIL.*
COMMON PITFALLS:
■ Lack of employee engagement
■ Inadequate management support
■ Poor or nonexistent cross-functional collaboration
■ Lack of accountability
*Research by McKinsey
64%
Transparency
69%
Adaptability
Inclusivity
73%
Collaboration
70%
79%
87%
Transformation
leaders are open.
Key cultural characteristics
of transformation:
All respondents Digital transformation leaders
Percentage of respondents who said each
of the following cultural characteristics
was very important in enabling digital
transformation in their organizations.
60%
70%
Source:
(n=734) Harvard Business Review, sponsored by Red Hat. "Reassessing digital transformation," November 2018.
8
What happened in Oldsmar, FL?
9
Hacker came in through remote desktop software TeamViewer .
Adjusted the levels of sodium hydroxide (lye) from 100 ppm to over 11K ppm.
Operator was only aware of the activity due to a cursor movement on his screen.
Operator adjusted the level back down - no one was hurt.
10
Source - NY Times - A Cyberattack in Saudi Arabia Had a Deadly Goal. Experts Fear Another Try.
Firmware attacks on the rise
11
Source - DarkReading.com
Russia Sednit deployed first firmware rootkit back in 2018
Microsoft Security Signals reports that 83% of businesses have been hit with a firmware
attack in the last two years.
73% of these attacks have been disruptive to the business
Only 29% of organizations have allocated security budget to protect against firmware attacks
“When you start to talk about IoT and embedded devices, firmware looks even worse because there is
no standardized update mechanisms [and] you're dealing with multiple different hardware and software
ecosystems, so that problem is just compounded"
Microsoft Operating System Security Director - David Weston
12
Shared responsibility model at the end of the day= security is your problem
13
14
Who owns your personal IoT data?
15
16
Red Hat OpenShift’s road to the network edge
17
The open hybrid cloud now extends to the edge
Any workload, any footprint, any location
App App App App
Physical Virtual Private cloud Public cloud
Server edge Enterprise edge Provider edge National core
Regional edge
18
Put applications
anywhere
Act with speed and agility
and adapt to the needs of
the business
Edge computing with Red Hat
Eliminate operational
challenges
Provide new solutions for a
variety of distributed
application environments
Developer velocity Operational agility
Address new
opportunities
Drive innovation, increase
productivity, and offer better
products and services
Business innovation
Red Hat OpenShift’s road to the network edge
19
The complexities of edge computing
Need to manage 100s to
hundreds of thousands
nodes and clusters remotely
Ensure support for a
heterogenous hardware and
software environment
Provide a consistent
developer and IT operations
and processes
Scale Interoperability Consistency
Protect and patch remotely
while guarding against
physical and full stack attacks
Security
Trusted execution environments Unikernels
Hardware attestation
Blockchain
Service mesh
Partitioning hypervisors
Edge-enabled distributed platform
Data and artificial intelligence
Event-triggered business logic
Edge computing with Red Hat
20
Edge computing is part of a broader evolution of cloud native offerings
Common
requirement
patterns
across
industries
Heterogeneous clusters
Quantum computing
RISC-V
Secure multi-party computing FPGAs
x
Edge computing with Red Hat
21
Edge computing is already happening
Reduced downtime
Lower OpEx and CapEx
Lower workforce risk
Less environmental impact
Process control
Environment monitoring
Autonomous vehicles
21
Energy
Manufacturing
Telecommunications
Private Networks
vRAN
Distributed Core
Predictive maintenance
Factory automation
AR + remote export
Use cases
Benefits
Better user experience
Scale to meet demand
Greater network flexibility
Improved resilience
Reduced downtime
Increased productivity
Longer asset lifetime
Improved factory safety
… and many more
Industrial use cases with AI/ML
Challenge: Stay competitive by reducing the time and cost required to develop
autonomous vehicles, and transform from a “car maker” to a “mobility provider”.
22
Solution
High Performance D3 platform to gather and analyze massive amount of
data from the global BMW test fleet for autonomous driving
Why Red Hat
Relationship, Technology, Open Source principles
Result
Faster autonomous driving development: BMW manufacturing R&D teams
are now able to collect, store, and analyze vehicle sensor data in seconds
rather than days or weeks
Products & Services
Red Hat OpenShift
USE
CASES
BMW Group High Performance D3 Platform
23
Source: BMW Press announcement -
https://www.press.bmwgroup.com/deutschland/article/detail/T0293764DE/die-neue-bmw-group-high-performance-d3-plattform-data-driven-development-fuer-das-autonome-fahren?language=de
Platform Figures (Summer 2019)
▸ 1.500TB raw data collected per day
▸ >230 PB platform capacity
▸ >100.000 cores and > 200GPUs
▸ HiL (Hardware in the Loop) Stations reprocess up to 50 PB in 2 weeks
▸ Data transfer over 96 x 100 Gbps fiber reaches ~ 3,75 Terabit/s
24
Success Story: link Video (public)
Overview: Win the race to autonomous driving with Red Hat and DXC Technology
Global automotive group races to automated driving with data platform
Win the race to autonomous driving with Red Hat and DXC Technology
USE
CASES
Powered by
25
EDGE/IoT USE CASES
Solution description:
https://www.redhat.com/cms/managed-files/pa-race-to-autonomous-driving-dxc-overview-f21446pr-202004-en.pdf
Solution architecture R&D analytics platform
26
Vertically integrated
Continuous open source innovation
Open & interoperable
Edge computing with Red Hat
Every organization faces a decision about their future
Dedicated point solutions
27
Edge is bringing transformation to operational technology
Edge computing with Red Hat
OT
Software-defined
everything
▸ Real-world, real-time interaction
▸ Convergence of planning & execution
▸ Implementation of data-driven insights
▸ Integration of formerly closed systems
IT
Software-defined
platforms
▸ Standard, scalable hardware
▸ Cloud-native applications
▸ Flexibility and agility
▸ Convergence of data platforms
STRICTLY INTERNAL ONLY
Enabling platform for edge(s)
Edge Computing
Telco
5G Edge
Enterprise
Remote Office
Industrial
Manufacturing
Retail
Connected Sensors
And more ...
Public Sector
Disconnected Car
Zero-touch provisioning
Multi-cluster management
Small footprint
Scale
Security (physical, SW)
Automation of operations
Middleware enablement (ML, IoT, ...)
Network disruption tolerance
And more...
80% of edge use case requirements
STRICTLY INTERNAL ONLY
End-User
Premises
Edge
Provider Edge Provider/Enterprise Core
“last mile”
FOOTPRINT
SCALE
Red Hat’s focus
Edge
Server/Gateway
Regional
Data Center
Infrastructure
Edge
Provider
Far
Edge
Provider
Access
Edge
Provider
Aggregation
Edge
Core
Data Center
Device or
Sensor
29
Edge Tiers
* Edge computing == Fog computing (there is no real difference other than marketing)
Device
Edge
Edge computing with Red Hat
30
Develop once,
deploy anywhere
Meet diverse
use cases
Consistent
operations
Red Hat platforms for edge computing
Edge gateway/
edge server
Bare metal
cluster
Infrastructure
virtualization
Public/private
cloud
Bringing Kubernetes to the Edge
Addresses the needs of edge use cases including telco,
industrial manufacturing, AI/ML, ROBO, etc...
Red Hat Advanced Cluster Management for
Kubernetes for core to edge management
Full Kubernetes capabilities in
a 3-node clusters in OCP 4.5
For environments requiring a smaller footprint with remote
worker nodes support coming (currently dev preview)
Edge computing with Red Hat
32
Red Hat is focused on four edge architectures
A small footprint deployment
with long-lived release
support. Key building blocks
are Red Hat Enterprise Linux
and a container runtime.
Red Hat OpenShift
deployment on a single box
(master + worker) with
resources to run full
Kubernetes cluster as well as
application workloads.
Red Hat OpenShift masters
and workers reside on the
same node. High availability
(HA) setup with 3 servers.
Red Hat OpenShift masters
reside in a central location,
with reliably-connected
workers distributed at edge
sites sharing a control plane.
Small footprint device edge Single node edge servers Remote worker nodes Edge clusters (3+ node HA)
M
W
M W
M W
Coming soon
Red Hat portfolio helps complete the ML architecture
33
Software-defined
Infrastructure
Data Services - Databases (SQL, NoSQL, etc.), Data Lake, etc.
Compute Acceleration (GPU, FPGA, TPU)
Hybrid, Multi Cloud Platform with self service capabilities
ML Software tools
Set
goals
Gather and
prepare data
Develop ML
model
Deploy ML models
in app dev process
Implement
Apps & inference
ML models
monitoring &
management
CONNECTING AI ILT...
Edge computing with Red Hat
34
AI/ML
workload
-
Manufacturing
35
Source - Open Data Hub - https://opendatahub.io/
Open Source Projects - I’m grokking and loving
Open Data Hub is a meta-project that integrates open source projects into a practical solution. It aims to foster
collaboration between communities, vendors, user-enterprises, and academics following open source best practices. The
open source community can experiment and develop intelligent applications without incurring high costs and having to
master the complexity of modern machine learning and artificial intelligence software stacks.
RED HAT CONFIDENTIAL
Open Data Hub (ODH) is an open source
project that provides open source AI
tools for running large and distributed
AI workloads on OCP.
Reference architecture for how to do
Data Science on top of OpenShift. The
open source community drives
collaboration across Red Hat products,
IBM, Open Source projects, and partner
products.
Sales tool to drive customer
conversations around well understood
best practices across products,
ecosystem, and consulting
36
Open Data Hub - Data and AI Platform for Hybrid Cloud
37
Source - https://skupper.io/index.html
Skupper - Multicloud communication for Kubernetes
● Deploy a multi-cluster network
● Access data in a private cluster
● Multi-cluster microservices
applications
● Transparent HTTP/1.1, HTTP/2, gRPC,
and TCP communication
● Secure access from the public cloud
to private cloud services without
VPNs
Partner and Community Ecosystem Momentum
130+
Certified Operators
50+
ISVs on Red Hat Marketplace
20+
Market Segment ISV webinars
7000+
specialists enabled at GSIs
New solutions with technology partners
600+
OpenShift Commons Member Orgs
39
Maturity
Level
Acceleration
Basic Guardrails and Strategy in place for Application Lifecycle
Management, Automation, CI/CD, Security, Source Control and APIs
Work with Infrastructure teams to help adoption of
Infrastructure as Code practices
Build Communities of Practice within customers via enablement workshops
and hand on learning hackathons. OpenShift adoption starts.
Federated Clusters, Microservices Architectures, AI/ML and
CoPs become self sufficient run by customers
Self Sufficient teams delivering iterative
changes regularly into production
Developers start consuming LEGACY infrastructure services on Openshift via
Ansible Tower API, and Infrastructure teams use OCP to host tools
Stage 1
Infrastructure as
Code (Ansible)
Stage 3
Event Streaming,
ACM, ACS,
DataScience and
Edge
Stage 2
DevOps
(Ansible/OCP)
Stage 4
COTS and Red Hat
applications
How to get moving with Red Hat
Federal Cybersecurity IoT
40
We believe Red Hat can help
41
Hybrid cloud provides
operational consistency across
your architecture
-all the way to the edge
Open source brings the
power of collaboration to
drive innovation and
interoperability
If edge computing is going to be a
realistic future for enterprise IT,
it needs the hybrid cloud and open
source to thrive.
Paul Cormier
Red Hat President and CEO
linkedin.com/company/red-hat
youtube.com/user/RedHatVideos
facebook.com/redhatinc
twitter.com/RedHat
Contact me at
archer@redhat.com
@archerj
Thank you!
42 Come see Edge announcements from Red Hat announcements at Red Hat Summit
Sign up here
https://bit.ly/3g422xT

More Related Content

PDF
Locationless data science on a modern secure edge
PDF
Single View of Well, Production and Assets
PDF
Openshift 3.10 & Container solutions for Blockchain, IoT and Data Science
PDF
Microsoft Technologies for Data Science 201612
PPTX
Benefits of Transferring Real-Time Data to Hadoop at Scale
PPT
Migrating legacy ERP data into Hadoop
PDF
Denodo in the Age of Containers: How to Simplify Operation of your Virtual Layer
PDF
Hadoop Desktop Cluster
Locationless data science on a modern secure edge
Single View of Well, Production and Assets
Openshift 3.10 & Container solutions for Blockchain, IoT and Data Science
Microsoft Technologies for Data Science 201612
Benefits of Transferring Real-Time Data to Hadoop at Scale
Migrating legacy ERP data into Hadoop
Denodo in the Age of Containers: How to Simplify Operation of your Virtual Layer
Hadoop Desktop Cluster

What's hot (20)

PPTX
Practical advice to build a data driven company
PDF
Harnessing the virtual realm for successful real world artificial intelligence
PDF
HPC DAY 2017 | FlyElephant Solutions for Data Science and HPC
PPTX
Bridging the gap: achieving fast data synchronization from SAP HANA by levera...
PPTX
Why Software-Defined Storage Matters
PDF
HPE Discover 2017 - Internet of Things Program Guide
PPTX
How Big Data and Hadoop Integrated into BMC ControlM at CARFAX
PPTX
Breaking the Silos: Storage for Analytics & AI
PDF
Enabling big data & AI workloads on the object store at DBS
PPT
Containerized Storage
PPTX
Data Process Systems, connecting everything
PPTX
How Apache Spark and Apache Hadoop are being used to keep banking regulators ...
PPTX
Journey to the Data Lake: How Progressive Paved a Faster, Smoother Path to In...
PPTX
Wrangling Customer Usage Data with Hadoop
PDF
Protect your Private Data in your Hadoop Clusters with ORC Column Encryption
PDF
Red Hat Storage Day New York - Welcome Remarks
PPTX
Accelerated Any-Scale Solutions from DDN
PPTX
Securing your Big Data Environments in the Cloud
PDF
2016 Sept 1st - IBM Consultants & System Integrators Interchange - Big Data -...
PDF
Integrating and Analyzing Data from Multiple Manufacturing Sites using Apache...
Practical advice to build a data driven company
Harnessing the virtual realm for successful real world artificial intelligence
HPC DAY 2017 | FlyElephant Solutions for Data Science and HPC
Bridging the gap: achieving fast data synchronization from SAP HANA by levera...
Why Software-Defined Storage Matters
HPE Discover 2017 - Internet of Things Program Guide
How Big Data and Hadoop Integrated into BMC ControlM at CARFAX
Breaking the Silos: Storage for Analytics & AI
Enabling big data & AI workloads on the object store at DBS
Containerized Storage
Data Process Systems, connecting everything
How Apache Spark and Apache Hadoop are being used to keep banking regulators ...
Journey to the Data Lake: How Progressive Paved a Faster, Smoother Path to In...
Wrangling Customer Usage Data with Hadoop
Protect your Private Data in your Hadoop Clusters with ORC Column Encryption
Red Hat Storage Day New York - Welcome Remarks
Accelerated Any-Scale Solutions from DDN
Securing your Big Data Environments in the Cloud
2016 Sept 1st - IBM Consultants & System Integrators Interchange - Big Data -...
Integrating and Analyzing Data from Multiple Manufacturing Sites using Apache...
Ad

Similar to Leveraging IoT as part of your digital transformation (20)

PPTX
Extending open source and hybrid cloud to drive OT transformation - Future Oi...
PDF
Automated Deployment and Management of Edge Clouds
PDF
DevConf.US 2022 - Exploring Open Source Edge Success at Scale
PDF
DDDP 2019 - Brown to Green
PDF
OpenStack NFV Edge computing for IOT microservices
PPTX
External SEDC cussadasdasdsadtomer brief.pptx
PDF
Red Hat OpenShift -- Innovation without limitation.pdf
PPTX
Industrial Edge.pptx
PDF
Cloud to Edge
PDF
DevOps Fest 2020. Pavlo Repalo. Edge Computing: Appliance and Challanges
PPTX
Unit-I.pptxsgsggggggggggggggZcvzvzfvzgghszg
PPTX
Unit-I.pptxmbmbmbmbm,b,hkggjfgjfc gvbn mm
PDF
Edge Computing.pdf
PPTX
A theory on basics of edge computing notes
PDF
Edge Computing for the Industry
PDF
Edge Computing: NTT Offerings in Japan and Use Cases by Katsuhiro Ohki, NTT L...
PDF
Edge computing PPT slides and it's benifits and drawbacks
PDF
MT85 Challenges at the Edge: Dell Edge Gateways
PPTX
Digital transformation and AI @Edge
PDF
Open cloud infrastructure built for the enterprise
Extending open source and hybrid cloud to drive OT transformation - Future Oi...
Automated Deployment and Management of Edge Clouds
DevConf.US 2022 - Exploring Open Source Edge Success at Scale
DDDP 2019 - Brown to Green
OpenStack NFV Edge computing for IOT microservices
External SEDC cussadasdasdsadtomer brief.pptx
Red Hat OpenShift -- Innovation without limitation.pdf
Industrial Edge.pptx
Cloud to Edge
DevOps Fest 2020. Pavlo Repalo. Edge Computing: Appliance and Challanges
Unit-I.pptxsgsggggggggggggggZcvzvzfvzgghszg
Unit-I.pptxmbmbmbmbm,b,hkggjfgjfc gvbn mm
Edge Computing.pdf
A theory on basics of edge computing notes
Edge Computing for the Industry
Edge Computing: NTT Offerings in Japan and Use Cases by Katsuhiro Ohki, NTT L...
Edge computing PPT slides and it's benifits and drawbacks
MT85 Challenges at the Edge: Dell Edge Gateways
Digital transformation and AI @Edge
Open cloud infrastructure built for the enterprise
Ad

More from John Archer (6)

PDF
Enabling Enterprise-wide OT Data access with Matrikon Data Broker.pdf
PDF
Red Hat Java Update and Quarkus Introduction
PDF
Delivering Agile Data Science on Openshift - Red Hat Summit 2019
PDF
Democratizing Data Science on Kubernetes
PDF
Red Hat Openshift on Microsoft Azure
PDF
Field development and operational optimization for unconventionals
Enabling Enterprise-wide OT Data access with Matrikon Data Broker.pdf
Red Hat Java Update and Quarkus Introduction
Delivering Agile Data Science on Openshift - Red Hat Summit 2019
Democratizing Data Science on Kubernetes
Red Hat Openshift on Microsoft Azure
Field development and operational optimization for unconventionals

Recently uploaded (20)

PDF
TokAI - TikTok AI Agent : The First AI Application That Analyzes 10,000+ Vira...
PPT
“AI and Expert System Decision Support & Business Intelligence Systems”
PDF
Shreyas Phanse Resume: Experienced Backend Engineer | Java • Spring Boot • Ka...
PDF
Blue Purple Modern Animated Computer Science Presentation.pdf.pdf
PDF
Optimiser vos workloads AI/ML sur Amazon EC2 et AWS Graviton
PDF
Empathic Computing: Creating Shared Understanding
PDF
Modernizing your data center with Dell and AMD
PPTX
Effective Security Operations Center (SOC) A Modern, Strategic, and Threat-In...
PPTX
Cloud computing and distributed systems.
PDF
[발표본] 너의 과제는 클라우드에 있어_KTDS_김동현_20250524.pdf
PDF
Peak of Data & AI Encore- AI for Metadata and Smarter Workflows
PPTX
20250228 LYD VKU AI Blended-Learning.pptx
PDF
Advanced IT Governance
PDF
Advanced Soft Computing BINUS July 2025.pdf
DOCX
The AUB Centre for AI in Media Proposal.docx
PDF
Spectral efficient network and resource selection model in 5G networks
PDF
Mobile App Security Testing_ A Comprehensive Guide.pdf
PDF
solutions_manual_-_materials___processing_in_manufacturing__demargo_.pdf
PDF
GDG Cloud Iasi [PUBLIC] Florian Blaga - Unveiling the Evolution of Cybersecur...
PDF
Approach and Philosophy of On baking technology
TokAI - TikTok AI Agent : The First AI Application That Analyzes 10,000+ Vira...
“AI and Expert System Decision Support & Business Intelligence Systems”
Shreyas Phanse Resume: Experienced Backend Engineer | Java • Spring Boot • Ka...
Blue Purple Modern Animated Computer Science Presentation.pdf.pdf
Optimiser vos workloads AI/ML sur Amazon EC2 et AWS Graviton
Empathic Computing: Creating Shared Understanding
Modernizing your data center with Dell and AMD
Effective Security Operations Center (SOC) A Modern, Strategic, and Threat-In...
Cloud computing and distributed systems.
[발표본] 너의 과제는 클라우드에 있어_KTDS_김동현_20250524.pdf
Peak of Data & AI Encore- AI for Metadata and Smarter Workflows
20250228 LYD VKU AI Blended-Learning.pptx
Advanced IT Governance
Advanced Soft Computing BINUS July 2025.pdf
The AUB Centre for AI in Media Proposal.docx
Spectral efficient network and resource selection model in 5G networks
Mobile App Security Testing_ A Comprehensive Guide.pdf
solutions_manual_-_materials___processing_in_manufacturing__demargo_.pdf
GDG Cloud Iasi [PUBLIC] Florian Blaga - Unveiling the Evolution of Cybersecur...
Approach and Philosophy of On baking technology

Leveraging IoT as part of your digital transformation

  • 1. 1 Leveraging IoT as part of your digital transformation John Archer Chief Architect Energy Red Hat
  • 2. John Archer Chief Architect Energy ● Edge and Data Science ● Upstream Data Management ● Energy Trading ● DoD/Healthcare/eCommerce/Legal ● OSPO/OSS Strategy ● Standards & Energy Communities ● Nascent Woodworker ● Award winning BJCP 20A Beer
  • 3. 3 The big themes we’re hearing from customers now Faced with massive scaling and capacity demands Business has dropped off and our existing business model is under threat Working to protect our current business model and prepare for future Reduce costs and liabilities and maintain business viability Respond in an agile way to market conditions Accelerate the business without risking stability
  • 4. 4 How does my organization become more resilient?
  • 5. 5 It’s creating some knee jerk reactions “Put it all in the cloud even faster!”
  • 6. of complex large-scale change programs FAIL.* COMMON PITFALLS: ■ Lack of employee engagement ■ Inadequate management support ■ Poor or nonexistent cross-functional collaboration ■ Lack of accountability *Research by McKinsey
  • 7. 64% Transparency 69% Adaptability Inclusivity 73% Collaboration 70% 79% 87% Transformation leaders are open. Key cultural characteristics of transformation: All respondents Digital transformation leaders Percentage of respondents who said each of the following cultural characteristics was very important in enabling digital transformation in their organizations. 60% 70% Source: (n=734) Harvard Business Review, sponsored by Red Hat. "Reassessing digital transformation," November 2018.
  • 8. 8
  • 9. What happened in Oldsmar, FL? 9 Hacker came in through remote desktop software TeamViewer . Adjusted the levels of sodium hydroxide (lye) from 100 ppm to over 11K ppm. Operator was only aware of the activity due to a cursor movement on his screen. Operator adjusted the level back down - no one was hurt.
  • 10. 10 Source - NY Times - A Cyberattack in Saudi Arabia Had a Deadly Goal. Experts Fear Another Try.
  • 11. Firmware attacks on the rise 11 Source - DarkReading.com Russia Sednit deployed first firmware rootkit back in 2018 Microsoft Security Signals reports that 83% of businesses have been hit with a firmware attack in the last two years. 73% of these attacks have been disruptive to the business Only 29% of organizations have allocated security budget to protect against firmware attacks “When you start to talk about IoT and embedded devices, firmware looks even worse because there is no standardized update mechanisms [and] you're dealing with multiple different hardware and software ecosystems, so that problem is just compounded" Microsoft Operating System Security Director - David Weston
  • 12. 12
  • 13. Shared responsibility model at the end of the day= security is your problem 13
  • 14. 14
  • 15. Who owns your personal IoT data? 15
  • 16. 16
  • 17. Red Hat OpenShift’s road to the network edge 17 The open hybrid cloud now extends to the edge Any workload, any footprint, any location App App App App Physical Virtual Private cloud Public cloud Server edge Enterprise edge Provider edge National core Regional edge
  • 18. 18 Put applications anywhere Act with speed and agility and adapt to the needs of the business Edge computing with Red Hat Eliminate operational challenges Provide new solutions for a variety of distributed application environments Developer velocity Operational agility Address new opportunities Drive innovation, increase productivity, and offer better products and services Business innovation
  • 19. Red Hat OpenShift’s road to the network edge 19 The complexities of edge computing Need to manage 100s to hundreds of thousands nodes and clusters remotely Ensure support for a heterogenous hardware and software environment Provide a consistent developer and IT operations and processes Scale Interoperability Consistency Protect and patch remotely while guarding against physical and full stack attacks Security
  • 20. Trusted execution environments Unikernels Hardware attestation Blockchain Service mesh Partitioning hypervisors Edge-enabled distributed platform Data and artificial intelligence Event-triggered business logic Edge computing with Red Hat 20 Edge computing is part of a broader evolution of cloud native offerings Common requirement patterns across industries Heterogeneous clusters Quantum computing RISC-V Secure multi-party computing FPGAs x
  • 21. Edge computing with Red Hat 21 Edge computing is already happening Reduced downtime Lower OpEx and CapEx Lower workforce risk Less environmental impact Process control Environment monitoring Autonomous vehicles 21 Energy Manufacturing Telecommunications Private Networks vRAN Distributed Core Predictive maintenance Factory automation AR + remote export Use cases Benefits Better user experience Scale to meet demand Greater network flexibility Improved resilience Reduced downtime Increased productivity Longer asset lifetime Improved factory safety … and many more Industrial use cases with AI/ML
  • 22. Challenge: Stay competitive by reducing the time and cost required to develop autonomous vehicles, and transform from a “car maker” to a “mobility provider”. 22 Solution High Performance D3 platform to gather and analyze massive amount of data from the global BMW test fleet for autonomous driving Why Red Hat Relationship, Technology, Open Source principles Result Faster autonomous driving development: BMW manufacturing R&D teams are now able to collect, store, and analyze vehicle sensor data in seconds rather than days or weeks Products & Services Red Hat OpenShift
  • 23. USE CASES BMW Group High Performance D3 Platform 23 Source: BMW Press announcement - https://www.press.bmwgroup.com/deutschland/article/detail/T0293764DE/die-neue-bmw-group-high-performance-d3-plattform-data-driven-development-fuer-das-autonome-fahren?language=de Platform Figures (Summer 2019) ▸ 1.500TB raw data collected per day ▸ >230 PB platform capacity ▸ >100.000 cores and > 200GPUs ▸ HiL (Hardware in the Loop) Stations reprocess up to 50 PB in 2 weeks ▸ Data transfer over 96 x 100 Gbps fiber reaches ~ 3,75 Terabit/s
  • 24. 24 Success Story: link Video (public) Overview: Win the race to autonomous driving with Red Hat and DXC Technology Global automotive group races to automated driving with data platform Win the race to autonomous driving with Red Hat and DXC Technology USE CASES
  • 25. Powered by 25 EDGE/IoT USE CASES Solution description: https://www.redhat.com/cms/managed-files/pa-race-to-autonomous-driving-dxc-overview-f21446pr-202004-en.pdf Solution architecture R&D analytics platform
  • 26. 26 Vertically integrated Continuous open source innovation Open & interoperable Edge computing with Red Hat Every organization faces a decision about their future Dedicated point solutions
  • 27. 27 Edge is bringing transformation to operational technology Edge computing with Red Hat OT Software-defined everything ▸ Real-world, real-time interaction ▸ Convergence of planning & execution ▸ Implementation of data-driven insights ▸ Integration of formerly closed systems IT Software-defined platforms ▸ Standard, scalable hardware ▸ Cloud-native applications ▸ Flexibility and agility ▸ Convergence of data platforms
  • 28. STRICTLY INTERNAL ONLY Enabling platform for edge(s) Edge Computing Telco 5G Edge Enterprise Remote Office Industrial Manufacturing Retail Connected Sensors And more ... Public Sector Disconnected Car Zero-touch provisioning Multi-cluster management Small footprint Scale Security (physical, SW) Automation of operations Middleware enablement (ML, IoT, ...) Network disruption tolerance And more... 80% of edge use case requirements
  • 29. STRICTLY INTERNAL ONLY End-User Premises Edge Provider Edge Provider/Enterprise Core “last mile” FOOTPRINT SCALE Red Hat’s focus Edge Server/Gateway Regional Data Center Infrastructure Edge Provider Far Edge Provider Access Edge Provider Aggregation Edge Core Data Center Device or Sensor 29 Edge Tiers * Edge computing == Fog computing (there is no real difference other than marketing) Device Edge
  • 30. Edge computing with Red Hat 30 Develop once, deploy anywhere Meet diverse use cases Consistent operations Red Hat platforms for edge computing Edge gateway/ edge server Bare metal cluster Infrastructure virtualization Public/private cloud
  • 31. Bringing Kubernetes to the Edge Addresses the needs of edge use cases including telco, industrial manufacturing, AI/ML, ROBO, etc... Red Hat Advanced Cluster Management for Kubernetes for core to edge management Full Kubernetes capabilities in a 3-node clusters in OCP 4.5 For environments requiring a smaller footprint with remote worker nodes support coming (currently dev preview)
  • 32. Edge computing with Red Hat 32 Red Hat is focused on four edge architectures A small footprint deployment with long-lived release support. Key building blocks are Red Hat Enterprise Linux and a container runtime. Red Hat OpenShift deployment on a single box (master + worker) with resources to run full Kubernetes cluster as well as application workloads. Red Hat OpenShift masters and workers reside on the same node. High availability (HA) setup with 3 servers. Red Hat OpenShift masters reside in a central location, with reliably-connected workers distributed at edge sites sharing a control plane. Small footprint device edge Single node edge servers Remote worker nodes Edge clusters (3+ node HA) M W M W M W Coming soon
  • 33. Red Hat portfolio helps complete the ML architecture 33 Software-defined Infrastructure Data Services - Databases (SQL, NoSQL, etc.), Data Lake, etc. Compute Acceleration (GPU, FPGA, TPU) Hybrid, Multi Cloud Platform with self service capabilities ML Software tools Set goals Gather and prepare data Develop ML model Deploy ML models in app dev process Implement Apps & inference ML models monitoring & management CONNECTING AI ILT...
  • 34. Edge computing with Red Hat 34 AI/ML workload - Manufacturing
  • 35. 35 Source - Open Data Hub - https://opendatahub.io/ Open Source Projects - I’m grokking and loving Open Data Hub is a meta-project that integrates open source projects into a practical solution. It aims to foster collaboration between communities, vendors, user-enterprises, and academics following open source best practices. The open source community can experiment and develop intelligent applications without incurring high costs and having to master the complexity of modern machine learning and artificial intelligence software stacks.
  • 36. RED HAT CONFIDENTIAL Open Data Hub (ODH) is an open source project that provides open source AI tools for running large and distributed AI workloads on OCP. Reference architecture for how to do Data Science on top of OpenShift. The open source community drives collaboration across Red Hat products, IBM, Open Source projects, and partner products. Sales tool to drive customer conversations around well understood best practices across products, ecosystem, and consulting 36 Open Data Hub - Data and AI Platform for Hybrid Cloud
  • 37. 37 Source - https://skupper.io/index.html Skupper - Multicloud communication for Kubernetes ● Deploy a multi-cluster network ● Access data in a private cluster ● Multi-cluster microservices applications ● Transparent HTTP/1.1, HTTP/2, gRPC, and TCP communication ● Secure access from the public cloud to private cloud services without VPNs
  • 38. Partner and Community Ecosystem Momentum 130+ Certified Operators 50+ ISVs on Red Hat Marketplace 20+ Market Segment ISV webinars 7000+ specialists enabled at GSIs New solutions with technology partners 600+ OpenShift Commons Member Orgs
  • 39. 39 Maturity Level Acceleration Basic Guardrails and Strategy in place for Application Lifecycle Management, Automation, CI/CD, Security, Source Control and APIs Work with Infrastructure teams to help adoption of Infrastructure as Code practices Build Communities of Practice within customers via enablement workshops and hand on learning hackathons. OpenShift adoption starts. Federated Clusters, Microservices Architectures, AI/ML and CoPs become self sufficient run by customers Self Sufficient teams delivering iterative changes regularly into production Developers start consuming LEGACY infrastructure services on Openshift via Ansible Tower API, and Infrastructure teams use OCP to host tools Stage 1 Infrastructure as Code (Ansible) Stage 3 Event Streaming, ACM, ACS, DataScience and Edge Stage 2 DevOps (Ansible/OCP) Stage 4 COTS and Red Hat applications How to get moving with Red Hat
  • 41. We believe Red Hat can help 41 Hybrid cloud provides operational consistency across your architecture -all the way to the edge Open source brings the power of collaboration to drive innovation and interoperability If edge computing is going to be a realistic future for enterprise IT, it needs the hybrid cloud and open source to thrive. Paul Cormier Red Hat President and CEO
  • 42. linkedin.com/company/red-hat youtube.com/user/RedHatVideos facebook.com/redhatinc twitter.com/RedHat Contact me at archer@redhat.com @archerj Thank you! 42 Come see Edge announcements from Red Hat announcements at Red Hat Summit Sign up here https://bit.ly/3g422xT