The document discusses the role of messaging standards in event-driven architecture and IoT, emphasizing the importance of a robust digital backbone for data movement in various sectors including banking and smart cities. It highlights how Solace Systems provides end-to-end messaging solutions with low latency and high throughput, utilizing protocols such as MQTT and JMS to enhance performance and reliability. Use cases for messaging in smart cities, manufacturing, and banking demonstrate the operational efficiencies and real-time analytics capabilities enabled by Solace's technology.

1. © Solace Systems
CONFIDENTIAL
Sumeet Puri
VP, Head of Technology,
International
The Impact of Messaging Standards
on Event-Driven Architecture
and IoT

2. 2
CONFIDENTIAL
Diversified Blue-Chip Customer Base
Disruptive Products in Rapidly Growing Market
Solace Systems Company Overview
 Better  Faster  Cheaper
o Solace Systems is a provider of hardware
and software end-to-end message routers
o Solace hardware and software appliances
are widely deployed in various Banking,
Payments, Telco, IoT, Insurance, Digital
and Big Data Systems
o Solace appliances are used for Simplicity,
Robustness (HA & DR), Performance and
Lower TCO
o Founded in 2001, HQ in Ottawa, Canada

3. In Only
Out In
In Out
Out Only
Data Movement Patterns – Magic Quadrant

4. Imagine there were no TCP/IP
Still, the missing data movement pieces:
Pub Sub | Persistence | Shock Absorption | App Throttling
Messaging Standards
Networking : Messaging :: TCP/IP : MQTT/AMQP…JMS

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Messaging as a Digital Backbone
Not Just Messaging but Data Movement
Omni
Channel -
Mobility
Straight
Through
Processing
Integrating
Micro services
- Faster Time
To Market
Big Data In
Motion
Event Driven
Architecture
REST
API GWs
No Web Server
Data Movement
Wiretap for Analytics
Slow Consumer Handling
Fanout
Low Latency
Sync and
Async
REST <-> JMS is a big
deal
REST Assured
Multi protocol
Simple Architecture
Easy, Fully Integrated
Administration & Security
Real-Time &
Very High Volume

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Aspects of a Digital | IoT Ecosystem
The Architecture Cube
Infrastructure
Fog/ Gateway
Layer
Cloud/
Datacenter
Edge Layer
Cloud/
Datacenter
Core Layer
Functional
Capture
Analyze
Store
React
Predict
CICD&Device
Management
Security
Network
Fog Cloud Edge Core
Messaging
Multi Protocol
Standards
Aggregation
Throttling
Connection
Scaling
Filtering &
Routing
Fan in -Burst
Handling
Persistence
Slow Consumer
Handling
Fanout –
Lambda Stream
Things & Apps
Fog
Computing
Legacy
Integration
Real Time
Analytics
GUIs and
Dashboards
Legacy
Gateways
Business Logic
& Integration
[Big] Data
Analytics
[Big] Data
Store
Management
andMonitoring

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The Waiter Pattern - Sync Waiter
Restaurants Don’t Work This Way!!
Take Order
Go To Kitchen
Wait for Dish
Serve

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The Waiter Pattern – The Efficient, Normal Waiter
o Waiters take the order,
validate and move to
the next table
o Food is served via a
callback
o This proven pattern is
the only one with
which mobile apps
scale
So why do ESBs/API GWs work differently?
Because they were built with HTTP shortcuts
Take Next Order
Submit To Kitchen
Dish Ready?
Serve

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Order Taking – The SOA Way
An order is an order is an order – Payment, Telco, Mining
250ms 2s 2s 3s
DWHReportingBusiness
Logic
Validations and
Check
Response Time =
~8s if you are lucky
ESB/API Stack – Everything Synchronous, over SOAP/HTTP
Any problem in the kitchen has direct user impact
Poor throttling, load balancing, no isolation
Task Time
1 Submit Income
2 Validate .25s
3 Business Logic 2s
4 Reporting 2s
5 Data Ware House 3s
6 Total Response Time ~8s
6
1
2 3 4 5

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Waiter Pattern – The Event Driven Way
Much Higher Throughput, Much Better Response Time and Stability
250ms 1s 2s 2s
DWHReportingBusiness
Logic
Validations and
Check
Response Time =
300ms
Kitchen
Order Taking
and Ack
Shock
Absorber
Task Time
1 Submit Income
2 Validate .25s
3 Reply and Queue 20us
Total Response Time 300us
4 Business Logic 2s
5 Reporting 2s
6 Data Ware House 3s
Kitchen Decoupled = Happy Customer
Throttling, Load Balancing,
Slow Consumer Handling
6
1
2
3
4 5
Topic to Q
bridging
Waiter

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Use Case - Relationship Managers Tab
Pub Sub
Req Rep
Analytics Core
Banking
ESB (if needed)
DWH
Market Data TOMS

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Use Case - Messaging as a Digital Backbone
Banking, Trading, Payments Straight Through Processing
JSON/REST
or JMS/MQTT
Legacy
Gateway
REST message: URL for event routing
http://mybank/pay/merchId
/curr/type/xyz/xyz
0101011000101010111101010101001010101011010
Data In Motion
Complex Events
Processing
Fraud Detection
JMSTopic:
mybank/pay/>
Visual
Analytics
(Splunk)
JMSTopictoQueue:
mybank/POS/Monitor
/>
LosslessQ
ShockAbsorber
Solace
Data At Rest
Analytics
(Hadoop)
JMSTopic:
mybank/>
Lossless Q
Shock Absorber
Topic to Q
mapping
Core
Business
Logic
Connectivity
Data Store
Cache
ESB/Transform
ESB/Transform
JMS Topic:
mybank/pay/*/fx/>
mybank/pay/*/aud/>
Wildcard routing on
REST URLs/Topics
Filtering and Topic
(subject) Routing
with Wildcards
Persistence – never
lose a message
Publish Subscribe -
Parallel, Async
Processing
Multi Protocol
REST <> JMS <>AMQP
<> MQTT
Burst Handling and
Throttling – Big Data
Ingest
Lambda Architecture –
Speed and Batch

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Messaging Backbone for Hybrid Cloud
Allows Cloud Transformation – Move gradually to the cloud
PaaS – Private Cloud
IaaS
Bosh
Provisioning
Service
Broker
MaaS
Catalog
App App App
App
App
App
App
Custom
Apps
Application
Platforms
Oracle OSB
WebSphere
App Server
DataPower
TIBCO BW
Jboss Fuse
MuleSoft
App
App
App
App
App
App
AppApp App AppApp Application portability
 Ubiquitous Connectivity
 Best-of-breed Messaging
App

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B2B
DMZ
Use Case
Banking Event-Driven Architecture
Big “Data Lake”
Repository &
Real-Time
Analytics
Retail Bus
MortgagesCredit Cards Insurance Wealth Mgmt
Domain Service Bus
Wholesale
MobileOnline
Micropayments
• Bank Machines
• Branches
• Telephone
Dedicated
Networks
Central Services
Integration
Services
Data
Governance
Business Benefits
• Agility
• Low TCO
• Robustness
• Innovation
• Time to Market
• Realtime services
Orchestration
Realtime 360 degree Customer View
DR
Payments
Public
Cloud
Private
Cloud

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Smart Cities: Bus Monitoring
REST/MQTT
Regulator’s
Dashboard
Commuter
’s Apps
and RIAs
Analytics DWH
ESB (if needed)
CEP
JMS
Legacy REST
Edge CoreFog
Legacy
Gateway
REST/MQTT
UseCase
o Collect real-time location, loading
information and more from
5,000 buses
o Optimize bus movement, fleet
management, avoid bunching,
forecast arrival time and more
WhySolace
o Scale: smaller footprint
o Reliability and robustness
o Integration with TIBCO ESB and
CEP
o Low Latency for predictive
analytics
o Native support for REST, MQTT,
JMS and more without any
bridges

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Smart Cities: LTA Next Generation ERP
Routing
Server
Payments
Analytics
0 0 0
• 200K Concurrent
Connections
• MQTT Termination
• Request/reply for
firmware upgrades
• Push Notifications
• Persistent Messaging
• Shock Absorber
• High Throughput
• Fanout
• Slow Consumer Handling
MQTT
JMS
Edge CoreFog
UseCase
o Connect 1.5M vehicles (200K at a
time) in real time for pay per use
road tolls
o Suggest better routes, traffic
management – real time and
long term and value added
services/analytics
WhySolace
o Smaller footprint
o Reliability and robustness
o Subscription management,
MQTT request reply, topic to
queue bridging, fanout
o Advanced security and
monitoring/event generation
o Cost half ½ of competition (IBM)
MHI
OBU

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Smart Cities: Building/Asset Monitoring
Preventive Maintenance
Solace Bridge
o Collect information from building sensors –
Preventive Maintenance and Optimization
o Lift Open/Close, Lighting, Water, Electricity etc
o Limited block pilot, to scale to all blocks
Modern Sensors
Aggregator – Collect
data from legacy
sensors at
Residential
Blocks.
Building Block
REST/MQTT
ESB
Core Business
Logic
(Event Driven)
Scheduling
ERP
Big Data
Store and
Analytics
Edge CoreFog
UseCase
o Getting real time/batch data
from Housing buildings, such as
lift data, pipelines, electricals etc.
o For security and preventive
maintenance
WhySolace
o Single fabric for Fog, Edge and Core
o Scalability – easy to scale the pilot to
all blocks
o Aggregation per block as needed,
every block is fiber connected and has
a ruggedized server
o Legacy bridging with ESBs
o Feeding Big Data store for longer term
predictive maintenance and
cost/contract optimization
o Real time security feeds as necessary,
such as roof lock compromise

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UseCase
o Real time QC Data sourcing and
analytics to reduce recall times
o Same data bus for bidirectional
contract manufacturer
communication
WhySolace
o Moving from DB-driven bus to
Solace cuts recall time from days
to minutes
o WAN: Move data from 21
factories to HQ using less
bandwidth, with lower latency
and no loss
o Ability to easily add big Data
ingestion
o Performance, speed and
simplicity
Smart Manufacturing (Industry 4.0):
Real Time Movement of QC Data
MES
mes/main mes/measure
MAIN
mes/equip
Master System
mes/master
DB
History System
mes/history
DB
OIP ENG’RClient PCClient Mobile
Solace API
java
Solace API
C
Solace API
C#
Manufacturer
Data At Rest
Analytics
Real Time
Analytics
(Recall)
WAN Optimized
Lossless Data
Transfer
Head
Quarters
QC Data
Demand Data
Control Data
Visual
Analytics
Solac
e
Solace API
HTML5

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G2B
DMZ
Use Case
Smart Cities Event-Driven Architecture
Big “Data Lake”
Repository &
Real-Time
Analytics
Home AffairsDefence Environment
and Industry
Housing and
Buildings
Infocom Dev
Authority
MobileOnline
G2C
• Kiosk Machines
• Departments
• Telephone
Dedicated
Networks
Central Services
Integration
Services
Data
Governance
Business Benefits
• Agility
• Low TCO
• Robustness
• Innovation
• Time to Market
• Realtime services
Orchestration
Realtime 360 degree Customer View
DR
Land Transport
Gov
Cloud
Private
Cloud

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ESB - ADAPTERS / TRANSFORMATION (only if needed)
Use Case – Telco – Never Miss an Order
Customer 360 via a Digital Event Backbone
NGIN
Service Consumers
Process Layer
CEP, Analytics, Big Data Lakes etc
New systems can be added
with standard protocols
Core Business Logic
South Bound Systems
Presentation Layer
North Bound Systems
Mobile/Devices
Thick Client
Browser/RIA
Sensors
PCRF
Mobile First
and
Consumer
Apps
Glue Service Layer
ESB
Other Frameworks
New systems just connects and publish/subscribe events
MDMPostPaid
BillingCore
Systems
CEPFraud
Detection
Event Data
Subscribers
IN-Memory
Data Grid
Security
Monitoring
Governance
Messaging +API
Gateway
Data River – Solace Enterprise Message Bus
HTTP, REST, mqtt
Data Lakes
B2B Links
Omni
Channels
Added
seamlessly

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B2B
MQTT, REST,
Flat Files,
SFTP, etc.
DMZ
Use Case
Telco Event-Driven Architecture
Enterprise Messaging Bus
Web & Mobile
Streaming,
JavaScript, REST
etc.
MobileOnline
Customer 360
• TopUp
Machines
• Branches
Dedicated
Networks
Central Services
Integration
Services
Governance and
Analytics
Orchestration
&Transformation
Benefits of Solace-Based Bus
• Simplicity: Single HA pair vs many
distributed software brokers, single
software load vs multiple from
different vendors, forcing security
patch updates etc.
• Pub/Sub functionality: Complete
separation of pubs from subs, full
Event Driven Architecture
• Robustness: Slow consumers handling,
fast failover
• Scalability/Performance:
One appliance pair meets
growing needs for years
• Manageability: Always on
monitoring, centralized
security
JavaJMS REST
DR
Public
Cloud
HDFS
Private
Cloud
PCRF NGIN
API
Gateway
Provisio
ning
Mobile First
Platform
Server
CBS CEP IN-Memory
Cache
NODE 1
NODE 2

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CONFIDENTIAL
Why Solace?
o Zero Down Time, Zero Message Loss
‐ Active Active DR
o Micro Second Latency at Very High
Throughput
o Standards – APIs, REST, MQTT, JMS,
AMQP on the way – interoperable at
wireline level
o Experience and References – Digital,
Cloud, IoT, Big Data
o Simplicity and Lower TCO
Primary Data Center
Backup Data Center
SAN
SAN
WAN
DR Link TCP
Connection

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REST Assured!
Zero Downtime, Zero Message Loss
Lossless REST - Never lose an Order
Simple – No Web/App Servers
Performance & Reliability
Standards Based, Cloud Ready

24. © Solace Systems
CONFIDENTIAL
sumeet.puri@solacesystems.com
Thank You