SlideShare a Scribd company logo
1 of 44
2
Copyright 2017 Cameron
U S I N G A S E R V I C E B U S F O R
M I C R O S E R V I C E C O M M U N I C A T I O N
3
Copyright 2017 Cameron
P R E S E N TAT I O N
You’ll leave with an understanding of how to effectively use a
Service Bus for Microservice communication to avoid tight coupling
between services.
Goal
4
Copyright 2017 Cameron
Cameron Vetter
Software Development is my passion. I have over 15 years of
experience using Microsoft tools to develop software. Currently I
am a Senior Software Architect at SafeNet Consulting,
where I get to do what I love... Architect, Design, and Develop
great software! I currently focus on Microservices, SOA, Azure,
IOT, and HoloLens.
@Poshporcupine
linkedin.com/in/cameronvetter
www.cameronvetter.com
5
Copyright 2017 Cameron
D E F I N E
M I C R O S E R V I C E S
S E R V I C E B U S
D E S I G N PAT T E R N S
M E S S A G E
T R A N S P O R T S
E V E N T U A L
C O N S I S T E N C Y
D E C O U P L I N G
T H R O U G H C O N T R A C T S
T H E
D E M O
ROADMAP
6
Copyright 2017 Cameron
Tooling
This talk is not tooling
specific, these architectural
patterns fit in most modern
developments stacks.
7
Copyright 2017 Cameron
W H AT D O I
M E A N B Y
M I C R O S E R V I C E S ?
8
Copyright 2017 Cameron
TRAITS OF
SERVICES
SERVICE
CONFUSION• Each is a software component
• Each service runs in its own process
• They use interprocess communication
• No coupling to other services except by
service contracts
• Windows Services
• Web Services (REST, SOAP, etc)
• Cloud Services
9
Copyright 2017 Cameron
M A R T I N F O W L E R
“Any fool can write code
that a computer can
understand. Good
programmers write code
that humans can
understand."
10
Copyright 2017 Cameron
MICROSERVICE ARCHITECTURE
CHARACTERISTICS
S o u r c e : m a r t i n f o w l e r . c o m / a r t i c l e s / m i c r o s e r v i c e s . h t m l
C o m p o n e n t i z a t i o n
v i a S e r v i c e s
• Independently Replaceable
• Independently Upgradeable
• Independent Dependencies
O r g a n i z e d A r o u n d
B u s i n e s s C a p a b i l i t i e s
• Not Organized Around
Technology
• Each Service (Team)
Focuses on One Business
Capability
11
Copyright 2017 Cameron
MICROSERVICE ARCHITECTUR
CHARACTERISTICS
S o u r c e : m a r t i n f o w l e r . c o m / a r t i c l e s / m i c r o s e r v i c e s . h t m l
P r o d u c t s
N o t P r o j e c t s
• No Longer Build A Project,
Disband, and Move On
• Team Owns the Service(s)
They Build
• Continue to Add Services
or Functionality to
Services
S m a r t E n d p o i n t s
a n d D u m b P i p e s
• Exact Opposite of an
ESB
• Smarts of A System
Moves Out of the Bus
and Into the Endpoints
12
Copyright 2017 Cameron
MICROSERVICE ARCHITECTURE
CHARACTERISTICS
S o u r c e : m a r t i n f o w l e r . c o m / a r t i c l e s / m i c r o s e r v i c e s . h t m l
D e c e n t r a l i z e d
G o v e r n a n c e
• No Longer Force
Everyone to Same
Technology Stack
D e c e n t r a l i z e d
D a t a M a n a g e m e n t
• Not Stuffing all Data in One
Huge Relational Database
• Services NEVER Connect to
Another Service’s Data
Store
• Prevents Integration
Through the Database
13
Copyright 2017 Cameron
MICROSERVICE ARCHITECTUR
CHARACTERISTICS
S o u r c e : m a r t i n f o w l e r . c o m / a r t i c l e s / m i c r o s e r v i c e s . h t m l
I n f r a s t r u c t u r e
A u t o m a t i o n
• Mandatory to Succeed
With MicroServices
• Continuous Delivery
• Ability to Deliver Fast
• Continuous Monitoring
D e s i g n
f o r f a i l u r e
• They Will Fail!
14
Copyright 2017 Cameron
MICROSERVICE ARCHITECTURE
CHARACTERISTICS
S o u r c e : m a r t i n f o w l e r . c o m / a r t i c l e s / m i c r o s e r v i c e s . h t m l
E v o l u t i o n a r y
d e s i g n
• Overall System Rapidly
Changes
• Allows More Granular Release
Planning
• Create Fault Tolerant
Contracts and Avoid
Versioning
15
Copyright 2017 Cameron
M E S S A G E
T R A N S P O R T S
16
Copyright 2017 Cameron
SERVICE BUS TRANSPORT
PROVIDES PLUMBING
Responsible for getting a message from point A to point B
and dealing with the underlying network.
PROVIDES RELIABILITY
Queueing mechanism to make sure messages are not
lost, handles retries, and handles failures.
PROVIDES SCALABILITY
Responsible for providing the scalability for the service
bus.
17
Copyright 2017 Cameron
Rabbit MQ
WORLD CLASS MESSAGE QUEUING
Built on erlang to provide unmatched performance,
feature set and community support.
ON PREMISE SOLUTION
In my opinion nothing comes close for power,
performance, or reliability.
MONITORING
The best built in monitoring solution available for a
transport.
18
Copyright 2017 Cameron
AZURE SERVICE BUS
NOT QUITE A SERVICE BUS
Don’t let the title fool you, Azure Service Bus is no more a
complete service bus than Rabbit MQ.
CLOUD SOLUTION
PAAS solution that scales, and is maintained for you,
creating a great cloud solution.
WELL INTEGRATED
Azure Service Bus is well integrated into the Microsoft
stack, and cross platform compatible.
19
Copyright 2017 Cameron
REST
COUPLING
REST interface used to talk to other services, every
service must be rebuilt when the interface changes.
COUPLING
Every service must know about and understand what
every other service is for and when to use it.
TURNS YOUR ARCHITECTURE TO
SPAGHETTI
Every architectural pattern degenerates into spaghetti
with the right antipattern.
20
Copyright 2017 Cameron
ENTERPRISE SERVICE BUS
PUSHES LOGIC TO THE CENTER
Goal is to create smart endpoints and dumb pipes, an
ESB turns that upside down.
KITCHEN SINK
It slices, it dices… Security, Mediation, Protocols,
Transformations, Business Logic…
DON’T MAKE THE MONOLITH
The coupling created by an ESB will turn your
microservice architecture back into a monolith.
21
Copyright 2017 Cameron
E V E N T U A L
C O N S I S T E N C Y
22
Copyright 2017 Cameron
Brewer’s (CAP) Theorem
Consistency
All users see the same data at the same moment.
Partition Tolerance
System continues to function as expected despite a
malfunction of connections between servers.
Availability
System continues to function as expected despite a
malfunction of servers.
Consistency
Partition
Tolerance
Availabilit
y
BASE
23
Copyright 2017 Cameron
ACID
ACID data stores value consistency over availability and scale
AT O M I C
All operations must
succeed or the entire
operation is rolled back.
C O N S I S T E N T
After each transaction the
database, its rules, and
relationships are intact.
I S O L AT E D
Each transaction runs
independently so there is
not transaction contention.
D U R A B L E
Once a transaction is
completed it is permanent
regardless of other
failures.
24
Copyright 2017 Cameron
ACID
ACID data stores value consistency over availability and scale
AT O M I C
All operations must
succeed or the entire
operation is rolled back.
C O N S I S T E N T
After each transaction the
database, its rules, and
relationships are intact.
I S O L AT E D
Each transaction runs
independently so there is
not transaction contention.
D U R A B L E
Once a transaction is
completed it is permanent
regardless of other
failures.
25
Copyright 2017 Cameron
BASE
BASE data stores value availability and scale over consistency of replicated data.
B A S I C A L LY
AVA I L A B L E
Guaranteed availability of
data
.
S O F T
S TAT E
The system could change
over time, even without
user interaction due to
eventual consistency
E V E N T U A L
C O N S I S T E N C Y
The system is guaranteed
to eventually become
consistent, but not
guaranteed when it will
become consistent
26
Copyright 2017 Cameron
E X A M P L E
EVENTUAL CONSISTENCY
What does it mean to be eventually consistent?
Service A – 1
Florence
Service A – 2
Florence
Client Client
Florence
FloFlo
Florence
Flo
Flo
27
Copyright 2017 Cameron
• More complex to develop for
• Must have a strategy for stale data
• Must have a strategy for inconsistent data
• Allows for cost effective horizontal scaling
• Allows for live updates of a service without
taking the system down
• Able to deal with large quantities of data and
huge scale
PROS CONS
USE BASE INSTEAD OF ACID
A Microservice Architecture MUST plan for BASE as a consistency model between
services. ACID consistency quickly cripples a microservice architecture.
28
Copyright 2017 Cameron
D e c o u p l i n g
T h r o u g h
C o n t r a c t s
29
Copyright 2017 Cameron
S u b s c r i b e t o t h e
i n t e r f a c e n o t t h e c l a s s
N e v e r e x c h a n g e
c l a s s e s d i r e c t l y
P u b l i s h t h e i n t e r f a c e
n o t t h e c l a s s
E a c h s e r v i c e i m p l e m e n t s
t h e i n t e r f a c e a s a c l a s s
P r e v e n t s s e r v i c e
v e r s i o n i n g h e l l
SERVICE COMMUNICATION CONTRACTS
Effective Use of Contracts Allow you to Remain Loosely Coupled
A l w a y s u s e c o n t r a c t s
e s t a b l i s h e d t h r o u g h
i n t e r f a c e s
30
Copyright 2017 Cameron
C O D E
Interface Versioning Example
How Do I Future Proof My Contracts?
public interface IWhoCanYouPassTo
{
Guid RequestorId { get; }
Guid LeftId { get; }
Guid RightId { get; }
}
public class WhoCanYouPassTo : IWhoCanYouPassTo {…}
31
Copyright 2017 Cameron
C O D E
Next Version
How Do I Future Proof My Contracts?
public interface IWhoCanYouPassTo
{
Guid RequestorId { get; }
Guid LeftId { get; }
Guid RightId { get; }
}
public interface IWhoCanYouPassToV2
{
Guid RequestorId { get; }
Guid LeftId { get; }
String LeftName { get; }
Guid RightId { get; }
String RightName { get; }
}
public class WhoCanYouPassTo : IWhoCanYouPassTo, IWhoCanYouPassToV2 {…}
32
Copyright 2017 Cameron
HOW ARE WE LOOSLY COUPLED?
• Any subscriber or publisher can independently change with no contract
changes required
• If a service changes a contract, new contracts are published, old
contracts remain valid
33
Copyright 2017 Cameron
S E R V I C E
B U S
D E S I G N
PAT T E R N S
34
Copyright 2017 Cameron
Publish / Subscr ibe
Each published message is
received by all current
subscribers of that message
type.
Publisher Bus
Subscribe
r
Subscribe
r
Subscribe
r
35
Copyright 2017 Cameron
Competing Consumer
Only one subscriber
receives each message,
they take turns, typically in a
round robin fashion.
Publisher Bus
Subscribe
r
Subscribe
r
Subscribe
r
36
Copyright 2017 Cameron
Dead Letter Channel
The bus is unable to deliver
a message to a subscriber
and is placed in a dead
letter queue.
Publisher Bus
Subscribe
r
Dead
Letter
37
Copyright 2017 Cameron
Dog Piles
If a service is overloaded or
malfunctioning, the retries
compound the problem
causing an outage which
causes a cascade of
failures across many or all
services.
38
Copyright 2017 Cameron
Shar ed Database
Multiple services sharing
the same database creates
tight coupling between
them. When one service
changes the database all
services must be updated
for the new schema.
39
Copyright 2017 Cameron
Flying Blind
With a microservice
architecture the need for
metrics and a view into the
system is even greater than
in other architectures,
without that view you are
flying blind and your results
will be predicatable.
40
Copyright 2017 Cameron
T h e
E x a m p l e
41
Copyright 2017 Cameron
Pass the Potato
Inspired by the Children’s Game Hot Potato, but only
where it was convenient for my demo.
M U LT I P L AY E R
Each player added to a
virtual circle
C R O S S P L AT F O R M
Works on any modern
web browser
D A S H B O A R D
View the big picture of the
game
S TAT S
Collect statistics for what I
can only assume will
make for compelling
reports
42
Copyright 2017 Cameron
P a s s
T h e
P o t a t o
43
Copyright 2017 Cameron
Ar chitectur e
Pass The Potato consists of
two Apps, three
Microservices and a Service
Bus
Mass Transit / Azure Service Bus
Distributor ServiceStats Service
Dash
Board
WPF App
Web Page
App
Sessions Service
Service Contracts
44
Copyright 2017 Cameron
D E F I N E
M I C R O S E R V I C E S
S E R V I C E B U S
D E S I G N PAT T E R N S
M E S S A G E
T R A N S P O R T S
E V E N T U A L
C O N S I S T E N C Y
D E C O U P L I N G
T H R O U G H C O N T R A C T S
T H E
D E M O
IN SUMMARY
45
Copyright 2017 Cameron
Any Questions
w w w. c a m e r o n v e t t e r. c o m
All Software Development
Related, Tutorials, Talks,
and More
l i n k e d i n . c o m / i n / c a m e r o n v e t t e r
Contact Me Directly
@ p o s h p o r c u p i n e
Mostly Development and
Gaming Related, but
whatever I find interesting

More Related Content

More from Cameron Vetter

An Introduction to Artificial Neural Networks
An Introduction to Artificial Neural NetworksAn Introduction to Artificial Neural Networks
An Introduction to Artificial Neural NetworksCameron Vetter
 
Azure Batch AI for Neural Networks
Azure Batch AI for Neural Networks Azure Batch AI for Neural Networks
Azure Batch AI for Neural Networks Cameron Vetter
 
Using a Service Bus for Microservice Communication
Using a Service Bus for Microservice CommunicationUsing a Service Bus for Microservice Communication
Using a Service Bus for Microservice CommunicationCameron Vetter
 
Augmented reality for the Enterprise
Augmented reality for the EnterpriseAugmented reality for the Enterprise
Augmented reality for the EnterpriseCameron Vetter
 
Augmented Reality - Let’s Make Some Holograms! (UXD Version)
Augmented Reality - Let’s Make Some Holograms! (UXD Version)Augmented Reality - Let’s Make Some Holograms! (UXD Version)
Augmented Reality - Let’s Make Some Holograms! (UXD Version)Cameron Vetter
 
Augmented Reality - Let’s Make Some Holgrams! (Developer Version)
Augmented Reality - Let’s Make Some Holgrams! (Developer Version)Augmented Reality - Let’s Make Some Holgrams! (Developer Version)
Augmented Reality - Let’s Make Some Holgrams! (Developer Version)Cameron Vetter
 

More from Cameron Vetter (6)

An Introduction to Artificial Neural Networks
An Introduction to Artificial Neural NetworksAn Introduction to Artificial Neural Networks
An Introduction to Artificial Neural Networks
 
Azure Batch AI for Neural Networks
Azure Batch AI for Neural Networks Azure Batch AI for Neural Networks
Azure Batch AI for Neural Networks
 
Using a Service Bus for Microservice Communication
Using a Service Bus for Microservice CommunicationUsing a Service Bus for Microservice Communication
Using a Service Bus for Microservice Communication
 
Augmented reality for the Enterprise
Augmented reality for the EnterpriseAugmented reality for the Enterprise
Augmented reality for the Enterprise
 
Augmented Reality - Let’s Make Some Holograms! (UXD Version)
Augmented Reality - Let’s Make Some Holograms! (UXD Version)Augmented Reality - Let’s Make Some Holograms! (UXD Version)
Augmented Reality - Let’s Make Some Holograms! (UXD Version)
 
Augmented Reality - Let’s Make Some Holgrams! (Developer Version)
Augmented Reality - Let’s Make Some Holgrams! (Developer Version)Augmented Reality - Let’s Make Some Holgrams! (Developer Version)
Augmented Reality - Let’s Make Some Holgrams! (Developer Version)
 

Recently uploaded

SoftTeco - Software Development Company Profile
SoftTeco - Software Development Company ProfileSoftTeco - Software Development Company Profile
SoftTeco - Software Development Company Profileakrivarotava
 
UI5ers live - Custom Controls wrapping 3rd-party libs.pptx
UI5ers live - Custom Controls wrapping 3rd-party libs.pptxUI5ers live - Custom Controls wrapping 3rd-party libs.pptx
UI5ers live - Custom Controls wrapping 3rd-party libs.pptxAndreas Kunz
 
Comparing Linux OS Image Update Models - EOSS 2024.pdf
Comparing Linux OS Image Update Models - EOSS 2024.pdfComparing Linux OS Image Update Models - EOSS 2024.pdf
Comparing Linux OS Image Update Models - EOSS 2024.pdfDrew Moseley
 
Amazon Bedrock in Action - presentation of the Bedrock's capabilities
Amazon Bedrock in Action - presentation of the Bedrock's capabilitiesAmazon Bedrock in Action - presentation of the Bedrock's capabilities
Amazon Bedrock in Action - presentation of the Bedrock's capabilitiesKrzysztofKkol1
 
Best Angular 17 Classroom & Online training - Naresh IT
Best Angular 17 Classroom & Online training - Naresh ITBest Angular 17 Classroom & Online training - Naresh IT
Best Angular 17 Classroom & Online training - Naresh ITmanoharjgpsolutions
 
Tech Tuesday - Mastering Time Management Unlock the Power of OnePlan's Timesh...
Tech Tuesday - Mastering Time Management Unlock the Power of OnePlan's Timesh...Tech Tuesday - Mastering Time Management Unlock the Power of OnePlan's Timesh...
Tech Tuesday - Mastering Time Management Unlock the Power of OnePlan's Timesh...OnePlan Solutions
 
Understanding Flamingo - DeepMind's VLM Architecture
Understanding Flamingo - DeepMind's VLM ArchitectureUnderstanding Flamingo - DeepMind's VLM Architecture
Understanding Flamingo - DeepMind's VLM Architecturerahul_net
 
Not a Kubernetes fan? The state of PaaS in 2024
Not a Kubernetes fan? The state of PaaS in 2024Not a Kubernetes fan? The state of PaaS in 2024
Not a Kubernetes fan? The state of PaaS in 2024Anthony Dahanne
 
Effectively Troubleshoot 9 Types of OutOfMemoryError
Effectively Troubleshoot 9 Types of OutOfMemoryErrorEffectively Troubleshoot 9 Types of OutOfMemoryError
Effectively Troubleshoot 9 Types of OutOfMemoryErrorTier1 app
 
Post Quantum Cryptography – The Impact on Identity
Post Quantum Cryptography – The Impact on IdentityPost Quantum Cryptography – The Impact on Identity
Post Quantum Cryptography – The Impact on Identityteam-WIBU
 
Ronisha Informatics Private Limited Catalogue
Ronisha Informatics Private Limited CatalogueRonisha Informatics Private Limited Catalogue
Ronisha Informatics Private Limited Catalogueitservices996
 
Leveraging AI for Mobile App Testing on Real Devices | Applitools + Kobiton
Leveraging AI for Mobile App Testing on Real Devices | Applitools + KobitonLeveraging AI for Mobile App Testing on Real Devices | Applitools + Kobiton
Leveraging AI for Mobile App Testing on Real Devices | Applitools + KobitonApplitools
 
SensoDat: Simulation-based Sensor Dataset of Self-driving Cars
SensoDat: Simulation-based Sensor Dataset of Self-driving CarsSensoDat: Simulation-based Sensor Dataset of Self-driving Cars
SensoDat: Simulation-based Sensor Dataset of Self-driving CarsChristian Birchler
 
2024 DevNexus Patterns for Resiliency: Shuffle shards
2024 DevNexus Patterns for Resiliency: Shuffle shards2024 DevNexus Patterns for Resiliency: Shuffle shards
2024 DevNexus Patterns for Resiliency: Shuffle shardsChristopher Curtin
 
OpenChain Education Work Group Monthly Meeting - 2024-04-10 - Full Recording
OpenChain Education Work Group Monthly Meeting - 2024-04-10 - Full RecordingOpenChain Education Work Group Monthly Meeting - 2024-04-10 - Full Recording
OpenChain Education Work Group Monthly Meeting - 2024-04-10 - Full RecordingShane Coughlan
 
Revolutionizing the Digital Transformation Office - Leveraging OnePlan’s AI a...
Revolutionizing the Digital Transformation Office - Leveraging OnePlan’s AI a...Revolutionizing the Digital Transformation Office - Leveraging OnePlan’s AI a...
Revolutionizing the Digital Transformation Office - Leveraging OnePlan’s AI a...OnePlan Solutions
 
How to submit a standout Adobe Champion Application
How to submit a standout Adobe Champion ApplicationHow to submit a standout Adobe Champion Application
How to submit a standout Adobe Champion ApplicationBradBedford3
 
SAM Training Session - How to use EXCEL ?
SAM Training Session - How to use EXCEL ?SAM Training Session - How to use EXCEL ?
SAM Training Session - How to use EXCEL ?Alexandre Beguel
 
SpotFlow: Tracking Method Calls and States at Runtime
SpotFlow: Tracking Method Calls and States at RuntimeSpotFlow: Tracking Method Calls and States at Runtime
SpotFlow: Tracking Method Calls and States at Runtimeandrehoraa
 
Alfresco TTL#157 - Troubleshooting Made Easy: Deciphering Alfresco mTLS Confi...
Alfresco TTL#157 - Troubleshooting Made Easy: Deciphering Alfresco mTLS Confi...Alfresco TTL#157 - Troubleshooting Made Easy: Deciphering Alfresco mTLS Confi...
Alfresco TTL#157 - Troubleshooting Made Easy: Deciphering Alfresco mTLS Confi...Angel Borroy López
 

Recently uploaded (20)

SoftTeco - Software Development Company Profile
SoftTeco - Software Development Company ProfileSoftTeco - Software Development Company Profile
SoftTeco - Software Development Company Profile
 
UI5ers live - Custom Controls wrapping 3rd-party libs.pptx
UI5ers live - Custom Controls wrapping 3rd-party libs.pptxUI5ers live - Custom Controls wrapping 3rd-party libs.pptx
UI5ers live - Custom Controls wrapping 3rd-party libs.pptx
 
Comparing Linux OS Image Update Models - EOSS 2024.pdf
Comparing Linux OS Image Update Models - EOSS 2024.pdfComparing Linux OS Image Update Models - EOSS 2024.pdf
Comparing Linux OS Image Update Models - EOSS 2024.pdf
 
Amazon Bedrock in Action - presentation of the Bedrock's capabilities
Amazon Bedrock in Action - presentation of the Bedrock's capabilitiesAmazon Bedrock in Action - presentation of the Bedrock's capabilities
Amazon Bedrock in Action - presentation of the Bedrock's capabilities
 
Best Angular 17 Classroom & Online training - Naresh IT
Best Angular 17 Classroom & Online training - Naresh ITBest Angular 17 Classroom & Online training - Naresh IT
Best Angular 17 Classroom & Online training - Naresh IT
 
Tech Tuesday - Mastering Time Management Unlock the Power of OnePlan's Timesh...
Tech Tuesday - Mastering Time Management Unlock the Power of OnePlan's Timesh...Tech Tuesday - Mastering Time Management Unlock the Power of OnePlan's Timesh...
Tech Tuesday - Mastering Time Management Unlock the Power of OnePlan's Timesh...
 
Understanding Flamingo - DeepMind's VLM Architecture
Understanding Flamingo - DeepMind's VLM ArchitectureUnderstanding Flamingo - DeepMind's VLM Architecture
Understanding Flamingo - DeepMind's VLM Architecture
 
Not a Kubernetes fan? The state of PaaS in 2024
Not a Kubernetes fan? The state of PaaS in 2024Not a Kubernetes fan? The state of PaaS in 2024
Not a Kubernetes fan? The state of PaaS in 2024
 
Effectively Troubleshoot 9 Types of OutOfMemoryError
Effectively Troubleshoot 9 Types of OutOfMemoryErrorEffectively Troubleshoot 9 Types of OutOfMemoryError
Effectively Troubleshoot 9 Types of OutOfMemoryError
 
Post Quantum Cryptography – The Impact on Identity
Post Quantum Cryptography – The Impact on IdentityPost Quantum Cryptography – The Impact on Identity
Post Quantum Cryptography – The Impact on Identity
 
Ronisha Informatics Private Limited Catalogue
Ronisha Informatics Private Limited CatalogueRonisha Informatics Private Limited Catalogue
Ronisha Informatics Private Limited Catalogue
 
Leveraging AI for Mobile App Testing on Real Devices | Applitools + Kobiton
Leveraging AI for Mobile App Testing on Real Devices | Applitools + KobitonLeveraging AI for Mobile App Testing on Real Devices | Applitools + Kobiton
Leveraging AI for Mobile App Testing on Real Devices | Applitools + Kobiton
 
SensoDat: Simulation-based Sensor Dataset of Self-driving Cars
SensoDat: Simulation-based Sensor Dataset of Self-driving CarsSensoDat: Simulation-based Sensor Dataset of Self-driving Cars
SensoDat: Simulation-based Sensor Dataset of Self-driving Cars
 
2024 DevNexus Patterns for Resiliency: Shuffle shards
2024 DevNexus Patterns for Resiliency: Shuffle shards2024 DevNexus Patterns for Resiliency: Shuffle shards
2024 DevNexus Patterns for Resiliency: Shuffle shards
 
OpenChain Education Work Group Monthly Meeting - 2024-04-10 - Full Recording
OpenChain Education Work Group Monthly Meeting - 2024-04-10 - Full RecordingOpenChain Education Work Group Monthly Meeting - 2024-04-10 - Full Recording
OpenChain Education Work Group Monthly Meeting - 2024-04-10 - Full Recording
 
Revolutionizing the Digital Transformation Office - Leveraging OnePlan’s AI a...
Revolutionizing the Digital Transformation Office - Leveraging OnePlan’s AI a...Revolutionizing the Digital Transformation Office - Leveraging OnePlan’s AI a...
Revolutionizing the Digital Transformation Office - Leveraging OnePlan’s AI a...
 
How to submit a standout Adobe Champion Application
How to submit a standout Adobe Champion ApplicationHow to submit a standout Adobe Champion Application
How to submit a standout Adobe Champion Application
 
SAM Training Session - How to use EXCEL ?
SAM Training Session - How to use EXCEL ?SAM Training Session - How to use EXCEL ?
SAM Training Session - How to use EXCEL ?
 
SpotFlow: Tracking Method Calls and States at Runtime
SpotFlow: Tracking Method Calls and States at RuntimeSpotFlow: Tracking Method Calls and States at Runtime
SpotFlow: Tracking Method Calls and States at Runtime
 
Alfresco TTL#157 - Troubleshooting Made Easy: Deciphering Alfresco mTLS Confi...
Alfresco TTL#157 - Troubleshooting Made Easy: Deciphering Alfresco mTLS Confi...Alfresco TTL#157 - Troubleshooting Made Easy: Deciphering Alfresco mTLS Confi...
Alfresco TTL#157 - Troubleshooting Made Easy: Deciphering Alfresco mTLS Confi...
 

Using a service bus for microservice communication v2

  • 1. 2 Copyright 2017 Cameron U S I N G A S E R V I C E B U S F O R M I C R O S E R V I C E C O M M U N I C A T I O N
  • 2. 3 Copyright 2017 Cameron P R E S E N TAT I O N You’ll leave with an understanding of how to effectively use a Service Bus for Microservice communication to avoid tight coupling between services. Goal
  • 3. 4 Copyright 2017 Cameron Cameron Vetter Software Development is my passion. I have over 15 years of experience using Microsoft tools to develop software. Currently I am a Senior Software Architect at SafeNet Consulting, where I get to do what I love... Architect, Design, and Develop great software! I currently focus on Microservices, SOA, Azure, IOT, and HoloLens. @Poshporcupine linkedin.com/in/cameronvetter www.cameronvetter.com
  • 4. 5 Copyright 2017 Cameron D E F I N E M I C R O S E R V I C E S S E R V I C E B U S D E S I G N PAT T E R N S M E S S A G E T R A N S P O R T S E V E N T U A L C O N S I S T E N C Y D E C O U P L I N G T H R O U G H C O N T R A C T S T H E D E M O ROADMAP
  • 5. 6 Copyright 2017 Cameron Tooling This talk is not tooling specific, these architectural patterns fit in most modern developments stacks.
  • 6. 7 Copyright 2017 Cameron W H AT D O I M E A N B Y M I C R O S E R V I C E S ?
  • 7. 8 Copyright 2017 Cameron TRAITS OF SERVICES SERVICE CONFUSION• Each is a software component • Each service runs in its own process • They use interprocess communication • No coupling to other services except by service contracts • Windows Services • Web Services (REST, SOAP, etc) • Cloud Services
  • 8. 9 Copyright 2017 Cameron M A R T I N F O W L E R “Any fool can write code that a computer can understand. Good programmers write code that humans can understand."
  • 9. 10 Copyright 2017 Cameron MICROSERVICE ARCHITECTURE CHARACTERISTICS S o u r c e : m a r t i n f o w l e r . c o m / a r t i c l e s / m i c r o s e r v i c e s . h t m l C o m p o n e n t i z a t i o n v i a S e r v i c e s • Independently Replaceable • Independently Upgradeable • Independent Dependencies O r g a n i z e d A r o u n d B u s i n e s s C a p a b i l i t i e s • Not Organized Around Technology • Each Service (Team) Focuses on One Business Capability
  • 10. 11 Copyright 2017 Cameron MICROSERVICE ARCHITECTUR CHARACTERISTICS S o u r c e : m a r t i n f o w l e r . c o m / a r t i c l e s / m i c r o s e r v i c e s . h t m l P r o d u c t s N o t P r o j e c t s • No Longer Build A Project, Disband, and Move On • Team Owns the Service(s) They Build • Continue to Add Services or Functionality to Services S m a r t E n d p o i n t s a n d D u m b P i p e s • Exact Opposite of an ESB • Smarts of A System Moves Out of the Bus and Into the Endpoints
  • 11. 12 Copyright 2017 Cameron MICROSERVICE ARCHITECTURE CHARACTERISTICS S o u r c e : m a r t i n f o w l e r . c o m / a r t i c l e s / m i c r o s e r v i c e s . h t m l D e c e n t r a l i z e d G o v e r n a n c e • No Longer Force Everyone to Same Technology Stack D e c e n t r a l i z e d D a t a M a n a g e m e n t • Not Stuffing all Data in One Huge Relational Database • Services NEVER Connect to Another Service’s Data Store • Prevents Integration Through the Database
  • 12. 13 Copyright 2017 Cameron MICROSERVICE ARCHITECTUR CHARACTERISTICS S o u r c e : m a r t i n f o w l e r . c o m / a r t i c l e s / m i c r o s e r v i c e s . h t m l I n f r a s t r u c t u r e A u t o m a t i o n • Mandatory to Succeed With MicroServices • Continuous Delivery • Ability to Deliver Fast • Continuous Monitoring D e s i g n f o r f a i l u r e • They Will Fail!
  • 13. 14 Copyright 2017 Cameron MICROSERVICE ARCHITECTURE CHARACTERISTICS S o u r c e : m a r t i n f o w l e r . c o m / a r t i c l e s / m i c r o s e r v i c e s . h t m l E v o l u t i o n a r y d e s i g n • Overall System Rapidly Changes • Allows More Granular Release Planning • Create Fault Tolerant Contracts and Avoid Versioning
  • 14. 15 Copyright 2017 Cameron M E S S A G E T R A N S P O R T S
  • 15. 16 Copyright 2017 Cameron SERVICE BUS TRANSPORT PROVIDES PLUMBING Responsible for getting a message from point A to point B and dealing with the underlying network. PROVIDES RELIABILITY Queueing mechanism to make sure messages are not lost, handles retries, and handles failures. PROVIDES SCALABILITY Responsible for providing the scalability for the service bus.
  • 16. 17 Copyright 2017 Cameron Rabbit MQ WORLD CLASS MESSAGE QUEUING Built on erlang to provide unmatched performance, feature set and community support. ON PREMISE SOLUTION In my opinion nothing comes close for power, performance, or reliability. MONITORING The best built in monitoring solution available for a transport.
  • 17. 18 Copyright 2017 Cameron AZURE SERVICE BUS NOT QUITE A SERVICE BUS Don’t let the title fool you, Azure Service Bus is no more a complete service bus than Rabbit MQ. CLOUD SOLUTION PAAS solution that scales, and is maintained for you, creating a great cloud solution. WELL INTEGRATED Azure Service Bus is well integrated into the Microsoft stack, and cross platform compatible.
  • 18. 19 Copyright 2017 Cameron REST COUPLING REST interface used to talk to other services, every service must be rebuilt when the interface changes. COUPLING Every service must know about and understand what every other service is for and when to use it. TURNS YOUR ARCHITECTURE TO SPAGHETTI Every architectural pattern degenerates into spaghetti with the right antipattern.
  • 19. 20 Copyright 2017 Cameron ENTERPRISE SERVICE BUS PUSHES LOGIC TO THE CENTER Goal is to create smart endpoints and dumb pipes, an ESB turns that upside down. KITCHEN SINK It slices, it dices… Security, Mediation, Protocols, Transformations, Business Logic… DON’T MAKE THE MONOLITH The coupling created by an ESB will turn your microservice architecture back into a monolith.
  • 20. 21 Copyright 2017 Cameron E V E N T U A L C O N S I S T E N C Y
  • 21. 22 Copyright 2017 Cameron Brewer’s (CAP) Theorem Consistency All users see the same data at the same moment. Partition Tolerance System continues to function as expected despite a malfunction of connections between servers. Availability System continues to function as expected despite a malfunction of servers. Consistency Partition Tolerance Availabilit y BASE
  • 22. 23 Copyright 2017 Cameron ACID ACID data stores value consistency over availability and scale AT O M I C All operations must succeed or the entire operation is rolled back. C O N S I S T E N T After each transaction the database, its rules, and relationships are intact. I S O L AT E D Each transaction runs independently so there is not transaction contention. D U R A B L E Once a transaction is completed it is permanent regardless of other failures.
  • 23. 24 Copyright 2017 Cameron ACID ACID data stores value consistency over availability and scale AT O M I C All operations must succeed or the entire operation is rolled back. C O N S I S T E N T After each transaction the database, its rules, and relationships are intact. I S O L AT E D Each transaction runs independently so there is not transaction contention. D U R A B L E Once a transaction is completed it is permanent regardless of other failures.
  • 24. 25 Copyright 2017 Cameron BASE BASE data stores value availability and scale over consistency of replicated data. B A S I C A L LY AVA I L A B L E Guaranteed availability of data . S O F T S TAT E The system could change over time, even without user interaction due to eventual consistency E V E N T U A L C O N S I S T E N C Y The system is guaranteed to eventually become consistent, but not guaranteed when it will become consistent
  • 25. 26 Copyright 2017 Cameron E X A M P L E EVENTUAL CONSISTENCY What does it mean to be eventually consistent? Service A – 1 Florence Service A – 2 Florence Client Client Florence FloFlo Florence Flo Flo
  • 26. 27 Copyright 2017 Cameron • More complex to develop for • Must have a strategy for stale data • Must have a strategy for inconsistent data • Allows for cost effective horizontal scaling • Allows for live updates of a service without taking the system down • Able to deal with large quantities of data and huge scale PROS CONS USE BASE INSTEAD OF ACID A Microservice Architecture MUST plan for BASE as a consistency model between services. ACID consistency quickly cripples a microservice architecture.
  • 27. 28 Copyright 2017 Cameron D e c o u p l i n g T h r o u g h C o n t r a c t s
  • 28. 29 Copyright 2017 Cameron S u b s c r i b e t o t h e i n t e r f a c e n o t t h e c l a s s N e v e r e x c h a n g e c l a s s e s d i r e c t l y P u b l i s h t h e i n t e r f a c e n o t t h e c l a s s E a c h s e r v i c e i m p l e m e n t s t h e i n t e r f a c e a s a c l a s s P r e v e n t s s e r v i c e v e r s i o n i n g h e l l SERVICE COMMUNICATION CONTRACTS Effective Use of Contracts Allow you to Remain Loosely Coupled A l w a y s u s e c o n t r a c t s e s t a b l i s h e d t h r o u g h i n t e r f a c e s
  • 29. 30 Copyright 2017 Cameron C O D E Interface Versioning Example How Do I Future Proof My Contracts? public interface IWhoCanYouPassTo { Guid RequestorId { get; } Guid LeftId { get; } Guid RightId { get; } } public class WhoCanYouPassTo : IWhoCanYouPassTo {…}
  • 30. 31 Copyright 2017 Cameron C O D E Next Version How Do I Future Proof My Contracts? public interface IWhoCanYouPassTo { Guid RequestorId { get; } Guid LeftId { get; } Guid RightId { get; } } public interface IWhoCanYouPassToV2 { Guid RequestorId { get; } Guid LeftId { get; } String LeftName { get; } Guid RightId { get; } String RightName { get; } } public class WhoCanYouPassTo : IWhoCanYouPassTo, IWhoCanYouPassToV2 {…}
  • 31. 32 Copyright 2017 Cameron HOW ARE WE LOOSLY COUPLED? • Any subscriber or publisher can independently change with no contract changes required • If a service changes a contract, new contracts are published, old contracts remain valid
  • 32. 33 Copyright 2017 Cameron S E R V I C E B U S D E S I G N PAT T E R N S
  • 33. 34 Copyright 2017 Cameron Publish / Subscr ibe Each published message is received by all current subscribers of that message type. Publisher Bus Subscribe r Subscribe r Subscribe r
  • 34. 35 Copyright 2017 Cameron Competing Consumer Only one subscriber receives each message, they take turns, typically in a round robin fashion. Publisher Bus Subscribe r Subscribe r Subscribe r
  • 35. 36 Copyright 2017 Cameron Dead Letter Channel The bus is unable to deliver a message to a subscriber and is placed in a dead letter queue. Publisher Bus Subscribe r Dead Letter
  • 36. 37 Copyright 2017 Cameron Dog Piles If a service is overloaded or malfunctioning, the retries compound the problem causing an outage which causes a cascade of failures across many or all services.
  • 37. 38 Copyright 2017 Cameron Shar ed Database Multiple services sharing the same database creates tight coupling between them. When one service changes the database all services must be updated for the new schema.
  • 38. 39 Copyright 2017 Cameron Flying Blind With a microservice architecture the need for metrics and a view into the system is even greater than in other architectures, without that view you are flying blind and your results will be predicatable.
  • 39. 40 Copyright 2017 Cameron T h e E x a m p l e
  • 40. 41 Copyright 2017 Cameron Pass the Potato Inspired by the Children’s Game Hot Potato, but only where it was convenient for my demo. M U LT I P L AY E R Each player added to a virtual circle C R O S S P L AT F O R M Works on any modern web browser D A S H B O A R D View the big picture of the game S TAT S Collect statistics for what I can only assume will make for compelling reports
  • 41. 42 Copyright 2017 Cameron P a s s T h e P o t a t o
  • 42. 43 Copyright 2017 Cameron Ar chitectur e Pass The Potato consists of two Apps, three Microservices and a Service Bus Mass Transit / Azure Service Bus Distributor ServiceStats Service Dash Board WPF App Web Page App Sessions Service Service Contracts
  • 43. 44 Copyright 2017 Cameron D E F I N E M I C R O S E R V I C E S S E R V I C E B U S D E S I G N PAT T E R N S M E S S A G E T R A N S P O R T S E V E N T U A L C O N S I S T E N C Y D E C O U P L I N G T H R O U G H C O N T R A C T S T H E D E M O IN SUMMARY
  • 44. 45 Copyright 2017 Cameron Any Questions w w w. c a m e r o n v e t t e r. c o m All Software Development Related, Tutorials, Talks, and More l i n k e d i n . c o m / i n / c a m e r o n v e t t e r Contact Me Directly @ p o s h p o r c u p i n e Mostly Development and Gaming Related, but whatever I find interesting

Editor's Notes

  1. To change the image behind the Mock up. Select the layer - > Right Click -> Send to Back -> Delete the image -> Drag & Drop your Own Picture -> Send to Back (again)
  2. To change the image behind the Mock up. Select the layer - > Right Click -> Send to Back -> Delete the image -> Drag & Drop your Own Picture -> Send to Back (again)
  3. To change the image behind the Mock up. Select the layer - > Right Click -> Send to Back -> Delete the image -> Drag & Drop your Own Picture -> Send to Back (again)
  4. Even with an SLA of 99.9 for each service across 2 dozen services your System SLA is 97.6% make each redundant and your SLA is 99.99
  5. To change the image behind the Mock up. Select the layer - > Right Click -> Send to Back -> Delete the image -> Drag & Drop your Own Picture -> Send to Back (again)
  6. To change the image behind the Mock up. Select the layer - > Right Click -> Send to Back -> Delete the image -> Drag & Drop your Own Picture -> Send to Back (again)
  7. Public class Address : IAddress, IAddressV2 { … }
  8. If one of your services is under load or malfunctioning, and all your other services keep retrying their failed calls, then the problem would be compounded and magnified by the additional load from these retries. Eventually, the faltering service will surfer a total outage, and potentially set off a cascading failure throughout your system. The solution here is to have exponential backoff and implement the circuit breakerpattern.
  9. Another common mistake is to have a shared database between different services. This creates tight coupling between the services and means you can’t deploy the micro-services independently if it breaks the shared schema. Any schema updates will force you to update other micro-services too. Instead, every service should have its own database, and when you want data from another service you go through its API rather than reaching into its database and help yourself.
  10. With a micro-service architecture the need for on-going operational metrics is greater than ever before, without them you are just flying blind. Build in operational metrics from the beginning