The document discusses a proposed solution for Octank Water Solutions to move their systems to AWS. It recaps Octank's business challenges around equipment failures reducing costs and improving maintenance. It then outlines a proposed architecture using AWS IoT, SageMaker, and other services to build a failure prediction system. Finally, it discusses costs, savings, and next steps to implement a proof of concept and further digital transformation initiatives.

1. © 2021, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark.
Sal Marcus @AWSsal - Solutions Architecture Leader
Sept 2021
Octank - AWS Cloud Journey
For Octank Water Solutions (Water
pump manufacturer)

2. © 2021, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark.
Agenda
• Team Introductions
• Recap of Octank’s business requirements
• Proposed Solution (POC)
• Cost Model (TCO and ROI Analysis)
• Partnering with AWS to accelerate innovation
• Solution Approval and Next steps

3. © 2021, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark.
Recap - Octank’s Business Challenges and Objectives
• Business Challenges
• Significant losses from Equipment Failures
• It takes several hours or days to fix a problem, depending on availability
of parts and labor
• Octank has had to dispatch engineers to do inspections hoping to reduce
failure rates. This additional cost is being passed on to their customers
• Customers are unhappy due to water supply interruptions and increased
costs
• Business Objectives
• Reduce costs and improve efficiency
• Accurately predict failures and optimize fixes
• Construct smart maintenance schedules
• Reduce equipment failure rates
• Improve incident response times and make customers happy
• Improve inventory management

4. © 2021, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark.
Recap - Octank’s Technology Challenges and Objectives
• Technology Challenges
• Data is spread across multiple locations, challenging to derive insights
• Analysts spend 60 to 70% of times gathering and preparing data for
analysis
• Company struggles with aging infrastructure
• Inflexible IT environment making it hard to experiment and innovate
• Cloud skills are scarce.
• Technology Objectives
• Evaluating cloud to deliver IT solutions at scale
• Modernize data and analytics platform
• Improve security and data governance

5. © 2020, Amazon Web Services, Inc. or its Affiliates.
Industrial Site
Business data center
on-premises AWS Cloud
Proposed Notional Architecture - Failure Prediction
Operators/
Plant Manager/
Supervisor
Operational
KPIs Dashboard
(near real-time)
Firewall
Edge Gateway
Hardware + Software
Protocol Converter
Machine/Equipment/PLC
Internet
Firewall
“Hot” data store
Cross-sites Asset
Hierarchy
”Warm/Cold” data store
(data lake)
Alarm
Management
Operators/
Plant Manager/
Supervisor
AWS Security
Plant Manager/
BI Engineers
Flexible Data Access
BI Reporting
(built-in ML insights)
Self-serve Analysis
Industrial Analysts/
Plant Manager
Machine Learning
Data Scientist/
Data Engineer
Data Warehouse
Failure
Prediction
Customer
Alerts/Insights

6. © 2020, Amazon Web Services, Inc. or its Affiliates.
Industrial
Site
Business Data Center
On-premises AWS Cloud
PLC
Protocol Converter
OPC-UA
Proposed Solution Architecture - Failure Prediction
Amazon SNS
Operator/
Production
Supervisor
AWS IoT Events
Alarm management
AWS IoT SiteWise
Monitor
Operator/
Production
Supervisor
Operational
Metrics Dashboard
Direct
Connect /
VPN
Firewall
AWS IoT SiteWise
Operational datastore
(“hot” data) & Asset
Modeling
AWS IoT
Core
AWS Lambda
Asset model
metadata
AWS Glue
Amazon
QuickSight
Data Engineer/
BI Engineer
BI Reporting
& Self-serve
Analysis
Edge Gateway
AWS IoT Greengrass &
SiteWise Connector
OnLogic
Moxa
Firewall
IAM
AWS KMS AWS
CloudTrail
Amazon Redshift
Data Warehouse
Customer
Alerts/Insights
Amazon
Athena
Amazon
SageMaker
Machine
Learning
Data Scientist/
Data Engineer
Amazon Kinesis
Data Firehose
ETL / ELT
Data lake
(“warm/cold” data)
Raw Silver/Gold
Amazon S3
Amazon S3

7. Benefits of Proposed Solution
Reduced cost and improved efficiency from a cloud solution
Intelligent Applied AI/ML system predicts failures and cuts losses
Modern data and analytic system that unifies data and provides real-time insights
Smart system generates maintenance schedules
Optimized Asset management with security
Foundation that paves the path for innovation, new revenue streams

8. © 2021, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Estimated Cost of a Medium Sized Failure Prediction
system - AWS services only
Assumptions/Considerations
• Working days per month (22), DT Inbound: Internet
(1 TB per month), DT Outbound: Internet (1 TB per
month), DT Intra-Region: (0 TB per month), Number
of Site-to-Site VPN Connections (1), Number of
subnet associations (2), Data transfer cost (92.07)
• 15x AWS IoT Greengrass Core Devices to start with
• Each AWS IoT Greengrass Core Device deployment
will be connected to the cloud for 43,800 minutes
per month
• Each AWS IoT Greengrass Core Device deployment
will connect to two MQTT topics
• Each AWS IoT Greengrass Core Device will be
sending 2 records per second to Amazon Kinesis
Data Streams, and each record will be 256 KB in size
• 1 TB of Amazon S3 Standard Storage is included in
the estimate, and will be leveraged both for
Streaming Data Storage and Code Storage for
components running on AWS IoT Greengrass Core
Devices
• Pricing is based upon the us-west-2 region (Oregon)
Component Service(s) Total per Month
On-premises to AWS cloud
networking and data transfer
AWS Site-to-Site VPN $549.57
IoT Management AWS IoT Greengrass
AWS IoT Core
$4.04
Data Streaming Amazon Kinesis Data
Streams
$99.74
Data Collection Amazon Kinesis Data
Firehose
$566.92
Data Storage Amazon S3
Athena
$150.79
Data Visualization AWS Quicksight $104.80
Machine Learning Sagemaker + Lambda $2500.00
Total per Month (USD) $3846.82
https://calculator.aws/#/estimate?id=447cc7b7fd3d98942448b6b91541eb7f06aade8b

9. © 2021, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
5 Year TCO - Failure Prediction system
Category Year 1 Year 2 Year 3 Year 4 Year 5 Totals
AWS Services (@$4000 per month) $48,000 $48,000 $48,000 $48,000 $48,000 $240,000
AWS Support (Business @10% of usage per month) $4,800 $4,800 $4,800 $4,800 $4,800 $24,000
Implementation (3 weeks @ $200/hr) for POC by Partner+
AWS
$24,000 0 0 0 0 $24,000
Implementation for Production by Partner (9 weeks
@$200/hr)
$72,000 0 0 0 0 $72,000
Training (Initial estimate prior to Training assessment) $25,000 $15,000 $0 0 0 $40,000
Operational Costs (@$2000/month) $12,000 $24,000 $24,000 $24,000 $24,000 $108,000
Total per year $185,800 $91,800 $76,800 $76,800 $76,800 $508,000

10. TCO considerations include ALL of the following…
Diagram doesn’t include every cost item. Software costs can include database, management, and middle tier software costs. Facilities cost can include
costs associated with upgrades, maintenance, building security, taxes, etc. IT labor costs can include security admin and application admin costs.
Business Value:
Cost of delays
Risk premium
Competitive abilities
Governance
Server Admin, Virtualization Admin,
Storage Admin, Network Admin, Support Team
IT Labor Costs
4
Facilities Cost
Hardware – Storage Disks,
SAN/FC Switches
Software – Backup
Space Power Cooling
Storage Costs
2
Project Planning, Advisors, Legal, Contractors,
Managed Services, Training, Cost of Capital
Extras
5
Hardware – Server, Rack
Chassis PDUs, ToR Switches
(+Maintenance)
Software – OS,
Virtualization Licenses
(+Maintenance)
Server Costs
1
Facilities Cost
Space Power Cooling
Network Hardware – LAN
Switches, Load Balancer
Bandwidth Costs
Software – Network
Monitoring
Network Costs
3
Facilities Cost
Space Power Cooling

11. © 2021, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Business
Case
$1.5 Million in
savings by
implementing the
Failure Prediction
system in AWS
ROI is 13% on an
investment of
508K in 5 years

12. © 2021, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark.
Getting started in your cloud journey
Project
Value
Time
Continuous
Reinvention
Foundation
Migration
Cloud native
Legacy applications
and data
Modernization

13. © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Digital Transformation Journey - Octank+AWS
Insights
AWS Cloud
Ingestion Data Lake + AI/ML
Automated
material
management
Production/Process
optimization
Automated
Parts Re-order
Computer vision for
quality control
Maintenance
Scheduling
Repairs As A
Service
Preventive
maintenance
Roadmap of Use Cases for Digital Transformation
Foundation (Failure Prediction)
AWS IoT
SiteWise
AWS IoT
Core
Amazon S3 AWS
Glue
Amazon
Athena
Amazon
QuickSight
AWS
Greengrass
Amazon
SageMaker
Amazon
Lookout
for Equipment
Amazon
Lookout
for Vision
Amazon
Monitron
AWS
Panorama

14. “
“
Mueller Water Products Uses Amazon
SageMaker to Improve Leak-Detection
Performance
Mueller Water Products
wanted to improve its
heterogenous technology
infrastructure and build a
sophisticated solution for
collecting data and delivering
critical insights to customers.
Mueller built a data lake on
Amazon S3 to consolidate its
on-premises and cloud
systems, then used the ML
capabilities of Amazon
SageMaker to increase its
leak-detection performance.
• Expects to save one customer
$8 million in 5 years
• Improved leak-detection
performance
• Automated the daily collection
of more than 5 GB of data
Solution
Challenge Benefits
The level of support from the AWS team has been
amazing. Not only has it helped us troubleshoot
technical problems, but it has also supported our
need to develop quickly with our customers in mind.
—Dave Johnston, director of smart infrastructure, Mueller Water Products Inc.
Company: Mueller Water Products Inc.
Industry: Manufacturing
Country: United States
Website: muellerwaterproducts.com
About Mueller Water Products Inc.
A leading manufacturer and marketer of
products and services for the transmission,
distribution, and measurement of water in
North America, Mueller Water Products
provides engineered valves, fire hydrants,
metering products and systems, leak
detection, and pipe condition assessment.
Mueller helps municipalities increase
operational efficiencies, improve customer
service, and prioritize capital spending.

15. © 2020, Amazon Web Services, Inc. or its Affiliates.
Case study: paper and building
product manufacturing
“We are using AWS data analysis technologies to predict...
precisely how fast converting lines should run to avoid
tearing. By reducing paper tears, we have increased profits
by millions of dollars for one production line.”
Steve Bakalar, VP of IT & Digital Transformation
About Georgia-Pacific
Georgia-Pacific, owned by Koch Industries,
is an American wood products, pulp, and
paper company based in Atlanta, Georgia.
The organization is one of the world’s
largest manufacturers and distributors
of pulp, towel and tissue paper and
dispensers, packaging, and wood and
gypsum building products.
Industry: Manufacturing
Headquarters: Atlanta GA
Employees: 35,000
Website: www.gp.com
Challenge
Georgia-Pacific wanted to gain
new insights from
manufacturing data collected at
paper production plants, but it
relied on disparate sources to
analyze data on material
quality, moisture, temperature,
and other features
Solution
Georgia-Pacific uses an AWS
advanced analytics solution,
featuring Amazon Kinesis and
Amazon SageMaker, to
collect and analyze data from
equipment at manufacturing
facilities across North America
Benefits
• Boosts profits by millions of dollars
• Predicts equipment failure 60‒90
days in advance
• Runs more production lines in a
predictable manner
• Ensures highest quality products

16. © 2021, Amazon Web Services, Inc. or its Affiliates.
Proven Framework to Accelerate your Cloud
Transformation
AWS and Partner
Tools AWS
Partners
Migration
Methodology
AWS
Training
AWS
Professional
Services
AWS
Investment

17. © 2021, Amazon Web Services, Inc. or its Affiliates.
Simple three-step approach
Migrate & Modernize
Assess Mobilize
Build readiness through experiences Accelerate transformation at scale
Rapid discovery TCO report
Briefings &
workshops
Migration Readiness
Assessment
Create a case for change
Operate &
optimize
Migrate
Modernize
Discovery &
planning
Migration
plan
Business case/
Mig. Evaluator
Migration &
modernization
experience
Skills/center
of excellence
Landing
zone
Operating
model
Security &
compliance
Immersion day
People Platform
Portfolio Migrate
Using a proven framework greatly increases your odds of success and speed to market
Accelerators

18. © 2021, Amazon Web Services, Inc. or its Affiliates.
AWS can help reduce the skills gap to accelerate your cloud
journey
80%
Faster adoption
to the cloud*
30%
Increased employee
satisfaction
Curated & flexible training
programs to accelerate success
• Free Learning needs analysis
• Over 20 instructor-led courses
• Migration-specific Training
• 12 Certifications to validate skills
• AWS Solutions Architect-led Workshops
4.7x
More likely to improve
IT staff productivity*
* Source: IDC White Paper, Train to Accelerate Your Cloud Strategy, October 2017
** Source: 2018 Global Knowledge IT Skills and Salary Report
Learning Needs Analysis helps
customize to your specific needs
• Collects and analyzes skill data
• Uncovers AWS skill gaps for
organizations, teams, and individuals
• Visualize skill gaps through Heatmaps
• Yields prescriptive skill enablement plans
4.4x
More likely to overcome
operational concerns**

19. © 2021, Amazon Web Services, Inc. or its Affiliates.
Operating your cloud
Full control simplified with AWS tools
• AWS Service Catalog
• AWS Systems Manager
• AWS Management Tools & Services
o Modeling and Provisioning; Automation and Operations;
Monitoring and Logging
• 3rd Party Tools
Self-
Managed
Change
Management
Incident
Management
Provisioning
Management
Patch
Management
Access
Management
Security
Management
Continuity
Management
ITSM
Integration
Reporting
Leverage AWS certified Managed Service Partners to help
operate your cloud
• 100+ Managed Service Partners (MSP)
• Certification Program
• Third-Party Audit
• Full Lifecycle Services
Partner
Managed
https://aws.amazon.com/partners/msp/
We operate your cloud with AWS best practices and compliance
standards so you can focus on your business priorities
• Addresses Security & Compliance
• Managed AWS Landing Zone
• Self-service automation
• 7x24 Worldwide AWS Operations Support Engineers
• “Month-to-Month” terms: you can take back control any time
AWS
Managed
Services
(AMS)

20. © 2021, Amazon Web Services, Inc. or its Affiliates.
AWS Investment by Migration Phase

21. © 2021, Amazon Web Services, Inc. or its Affiliates.
Summary and Next steps
• AWS has proposed a solution that solves the business challenges Octank is facing, the
TCO/ROI model shown proves that there is a compelling business case
• 1.5 Million in savings over 5 years
• Finalize solution configuration, Bill of Materials and plan for POC
• Implement POC with Partner Pariveda Solutions. Partner has been selected by AWS based on
two successful implementations in the same area
• Atlas Van Lines to Machine Learning on AWS (Amazon Web Services) Services
Mapping a Path to Smoother Scheduling
• Black & Veatch reduce cost by automating a key feature in the engineering design
process leveraging SageMaker Machine Learning on AWS (Amazon Web Services)
• Schedule meeting to explore the AWS MAP Program for AWS investments into additional
workloads (Path to Digital Innovation)

22. © 2021, Amazon Web Services, Inc. or its Affiliates.
Here to guide you in your journey?
Sal Marcus - AWSsal@amazon.com

23. © 2021, Amazon Web Services, Inc. or its Affiliates.

24. © 2021, Amazon Web Services, Inc. or its Affiliates.