02 04 stevencarlini schneiderelectric final…create specific ai use cases aggregate data securely...
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Steven Carlini
General Manager and Distinguished Engineer, Microsoft Azure,
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Steven CarliniVice President, Innovation & Data CenterSchneider Electric
00.5
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Building resiliency through a collaborative ecosystem
Steven Carlini, VP, Innovation and Data Center Schneider Electric
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Our simplified view of this architecture
REGIONAL EDGELarge compute and storage located in central or urban areas
LOCAL EDGE Compute and storage where data is
generated and consumed
CENTRALIZEDMassive compute and storage located in remote areas
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Availability implications from the viewpoint of the edge
White Paper 256 “Why Cloud Computing is Requiring us to Rethink Resiliency at the Edge”
Tier 3 Availability = 99.98%Downtime = 1.6 hours/year
But, if I take the
viewpoint of the
customers and
employees at the
retail store
Local edge data center(tier 1)
If my focus is the
availability of only
the centralized
data center...
Centralized data center(tier 3)
Availability system = Availability x AvailabilityCentralized Data Center Availability = 99.98%Edge Data Center Availability = 99.67%Availability = 99.98% x 99.67% = 99.65%Downtime = 30.7 hours/year
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The industry needs improvement in 3 key areas to make the edge resilient
1 An integrated ecosystem
3 Analytics & AI to augment staff
2 Management tools
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The industry needs improvement in 3 key areas to make the edge resilient
1 An integrated ecosystem
3 Analytics & AI to augment staff
2 Management tools
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A collaborative ecosystem addresses unique edge challenges
Edge Challenges
Many sites
Lack of onsite staff
Customer
Physical infrastructure
vendors
Systems integrators
Managed service
providersIT equipment manufacturers
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“Open-access” is critical…
ü Partner access to data and outputs to leverage in management tools
ü Open-access
ü Edge ecosystems require open systems
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Fully integrated modular/micro data center
Remote administration & real time monitoring,
management & control
Security access & CCTV
Environmental monitoring (temperature, humidity, smoke, water)
Rack power distribution
Storage
Cables/cable management
Micro data center
Network & storage switches
ServersConverged
infrastructure
OR
UPS
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The industry needs improvement in 3 key areas to make the edge resilient
1 An integrated ecosystem
3 Analytics & AI to augment staff
2 Management tools
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Conventional management tools are inadequate to address the challenges at the edge
How do I know if I have a problem, before it’s too late?
How do I monitor if I can’t get enough IP addresses?
How do I monitor and maintain the equipment?
I get so many status alerts, how do I know what to act on?
Who is accessing my equipment?
I have so many edge sites and no onsite IT and facilities staff…
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Assertion: Each edge site should be managed as a complete micro data center, not individual components
Old paradigm
Each device is managed separately and requires it’s own IP address
New paradigm
One dashboard to manage all components as a single system at a given edge site
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Assertion: Management tools must be cloud-based
The biggest challenge is keeping everything good (normal operating status) because it’s not just monitoring the alarm, the alerts, etc., it’s resolving them.Customer – 451 Research, 2017
Easy to get started
Pay as you grow
Maintenance free
Up-to-date cyber security
Automatic software updates
and backup
Access from anywhere, at anytime
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The industry needs improvement in 3 key areas to make the edge resilient
1 An integrated ecosystem
3 Analytics & AI to augment staff
2 Management tools
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We believe there are the 4 key ingredients
1 2 3 4A secure, scalable,
robust cloud architecture
A data lake with massive amounts of
normalized data
A talent pool of subject matter
experts with deep knowledge of
system behavior
Access to machine learning
algorithm expertise
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A solid foundation is critical
+Provide compute power to analyze data
Normalize the data sets
Identify critical variables
Create specific AI use cases
Aggregate data securely Develop algorithms
Train algorithms
Test & refine algorithms
Cloud architecture1 Data
lake2 Subject matterexperts3 4 Machine learning
algorithm expertise
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AI enables better insights
Methodology• Benchmark performance of key parameters• Determine pattern of healthy behavior• Generate alerts when outside expected
operation• Provide scorecard identifying what needs
attention
Benefits• Hours spent evaluating alarms• Downtime avoidance• Peace of mind & pressure off team
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Key takeaways to achieving a resilient edge
123 A strong industry foundation for applying AI will address
unique management challenges by augmenting staff
Cloud-based software is imperative to managing the edge
A collaborative ecosystem that includes the customer is necessary