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3 Common Pitfalls in
Microservice Integration and
How to Avoid Them
@berndruecker
Berlin, Germany
bernd.ruecker@camunda.com
@berndruecker
Bernd Ruecker
Co-founder and
Developer Advocate of
Camunda
REST, SOAP,
Cloud, Saas,
Microservices, SCS,
FaaS, Serverless,
ā€¦
Distributed systems
Distributed systems
Challenges of
asynchronicity
Distributed
Transactions
Communication
is complex
https://www.infoworld.com/article/3254777/application-development/
3-common-pitfalls-of-microservices-integrationand-how-to-avoid-them.html
Some
Service
Some
Service
Some
Service
Some
Service
Some
Service
Some
Service
Some
Service
Failure will happen.
Accept it!
But keep it local!
Be resilient.
Letā€˜s start with a simple example
Credit
Card
Payment
REST
Live hacking
https://github.com/flowing/flowing-retail/blob/master/payment-
rest/src/main/java/io/flowing/retail/payment/port/resthacks/PaymentRestHacksControllerV2.java
Circuit
Breaker
Photo by CITYEDV, available under Creative Commons CC0 1.0 license.
Fail fast
is important
Fail fast
is important
but not enough!
Photo by Tookapic, available under Creative Commons CC0 1.0 license.
ā€žThere was an error
while sending your
boarding passā€œ
Check-in
Web-UI
Me
Current situation
Check-in
Barcode
Generator
Web-UI
Me
Output
Mgmt
Current situation
Check-in
Barcode
Generator
Web-UI
Me
Output
Mgmt
Current situation
Check-in
Barcode
Generator
Web-UI
Me
Output
Mgmt
Current situation
Circuit
breaker
Check-in
Barcode
Generator
Web-UI
Me
Output
Mgmt
Current situation ā€“ the bad part
Check-in
Barcode
Generator
Web-UI
Me
Output
Mgmt
Current situation ā€“ the bad part
Check-in
Barcode
Generator
Web-UI
Me
Output
Mgmt
Current situation ā€“ the bad part
Stateful
Retry
We are having some technical
difficulties and cannot present you
your boarding pass right away.
But we do actively retry ourselves, so
lean back, relax and we will send it
on time.
Check-in
Barcode
Generator
Web-UI
Me
Output
Mgmt
Possible situation ā€“ much better!
Check-in
Barcode
Generator
Web-UI
Me
Output
Mgmt
Possible situation ā€“ much better!
Stateful
Retry
Check-in
Barcode
Generator
Web-UI
Me
Output
Mgmt
Stateful
Retry
Possible situation ā€“ much better!
The failure
never leaves
this scope!
Persist thing
(Entity, Document, Actor, ā€¦)
State machine or
workflow engine
Typical
concerns
DIY = effort,
accidental
complexity
Complex, proprietary,
heavyweight, slow,
donā€˜t scale,
developer adverse
Scheduling, Versioning,
operating, visibility,
scalability, ā€¦
Handling
State
Workflow engines,
state machines
It is
relevant
in modern
architectures
CADENCE
Silicon valley
has recognized
Workflow engines,
state machines
CADENCE
Workflow engines,
state machines
CADENCE
also at scale
Workflow engines,
state machines
CADENCE
for todays demo
Workflow engines,
state machines
Live hacking
https://github.com/flowing/flowing-retail/blob/master/payment-
rest/src/main/java/io/flowing/retail/payment/port/resthacks/PaymentRestHacksControllerV3.java
Payment
Now you have a state machine!
Credit
Card
REST
has to implement
Retry
has to implement
Idempotency
Client Service Provider
We are processing your payment.
Do not leave this page.
And for god sake ā€“ do not reload!
It is a business
problem
anyway!
We are processing your payment.
Do not leave this page.
And for god sake ā€“ do not reload!
It is a business
problem
anyway!
We are currently processing your request.
Donā€˜t worry, it will happen safely ā€“
even if you loose connection.
Feel free to reload this page any time!
Distributed systems introduce complexity you have to tackle!
Credit
Card
Payment
REST
Distributed
systems
It is impossible to
differentiate certain
failure scenarios.
Independant of
communication style!
Service
Provider
Client
Distributed systems introduce complexity you have to tackle!
Credit
Card
Payment
REST
Distributed systems introduce complexity you have to tackle!
Credit
Card
Payment
REST
BPMN
Business Process
Model and Notation
ISO Standard
Workflows live within
service boundaries
Credit
Card
Payment
REST
Check-in
Barcode
Generator
Web-UI
Me
Output
Mgmt
Workflows live within
service boundaries
Manigfold architecture options
https://blog.bernd-ruecker.com/architecture-options-to-run-a-workflow-engine-6c2419902d91
Manigfold architecture options
https://blog.bernd-ruecker.com/architecture-options-to-run-a-workflow-engine-6c2419902d91
Manigfold architecture options
https://blog.bernd-ruecker.com/architecture-options-to-run-a-workflow-engine-6c2419902d91
Manigfold architecture options
https://blog.bernd-ruecker.com/architecture-options-to-run-a-workflow-engine-6c2419902d91
generateBoardingPass
HTTP 200 OK
HTTP 202 ACCEPTED
Check-in
A synchronous response is possible in the
happy case, otherwise it is switched to
asynchronous processing.
ā€žThe customer wants a synchronous responseā€œ
Check-in
Barcode
Generator
Web-UI
Me
Output
Mgmt
ā€žEh ā€“ no!ā€œ
Synchronous communication
is the crystal meth of
distributed programming
Todd Montgomery and Martin Thompson
in ā€œHow did we end up hereā€ at GOTO Chicago 2015
Challenges of
asynchronicity
Check-in
Barcode
Generator
Web-UI
Me
Output
Mgmt
Asynchronous communication
You need to
monitor
timeouts
Check-in
Barcode
Generator
Web-UI
Me
Output
Mgmt
Rememberā€¦
The failure
never leaves
this scope!
Workflowā€¦
Workflowā€¦
has to implement
Timeout, Retry
has to implement
Idempotency
Client Service Provider
Who uses a message bus?
Who has no problems
operating a message bus?
Dead messages | No context | Inaccesible payload | Hard to redeliver |
Home-grown message hospitals | ā€¦
Manigfold architecture options
https://blog.bernd-ruecker.com/architecture-options-to-run-a-workflow-engine-6c2419902d91
Manigfold architecture options
https://blog.bernd-ruecker.com/architecture-options-to-run-a-workflow-engine-6c2419902d91
Manigfold architecture options
https://blog.bernd-ruecker.com/architecture-options-to-run-a-workflow-engine-6c2419902d91
Distributed
Transactions
Distributed
Transactions
Distributed
systems
Distributed transactions using compensation *
Compensation
Eventual consistency
Temporarily
inconsistent state
But only
temporarily!
Live hacking
https://github.com/flowing/flowing-retail/blob/master/payment-
rest/src/main/java/io/flowing/retail/payment/port/resthacks/PaymentRestHacksControllerV6.java
has to implement
Timeout, Retry,
Compensation
has to offer
Compensation
has to implement
Idempotency
Client Service Provider
has to implement
Timeout, Retry,
Compensation
has to offer
Compensation
has to implement
Idempotency
Client Service ProviderDonā€˜t forget
about state
Before mapping processes
explicitly with BPMN, the truth was
buried in the code and nobody
knew what was going on.
Jimmy Floyd, 24 Hour Fitnesse
ā€ž
Event-driven example also available
InventoryPaymentOrder ShippingCheckout Monitor
https://github.com/flowing/flowing-retail/
Human
Tasks
H2 H2
Workflows live inside service boundaries
Sales-Order & Order-Fulfillment
via Camunda
for every order worldwide
(Q2 2017: 22,2 Mio)
# Be aware of complexity of distributed systems
# Know strategies and tools to handle it
e.g. Circuit breaker (Hystrix)
Workflow engine for stateful retry, waiting, timeout
and compensation (Camunda)
Thank you!
Meet me at the
Camunda booth!
bernd.ruecker@camunda.com
@berndruecker
https://bernd-ruecker.com
https://blog.bernd-ruecker.com
https://github.com/flowing
https://www.infoq.com/articles/
events-workflow-automation With thoughts from http://flowing.io
@berndruecker | @martinschimak
Contact:
Slides:
Blog:
Code:
https://www.infoworld.com/article/3254777/
application-development/
3-common-pitfalls-of-microservices-
integrationand-how-to-avoid-them.html

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