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Moving beyond request-reply:
How smart APIs are different.
@berndruecker
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.
Photo by Tookapic, available under Creative Commons CC0 1.0 license.
„There was an error
while sending your
boarding pass“
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 – the good part
Circuit
breaker
Check-in
Barcode
Generator
Web-UI
Me
Output
Mgmt
Current situation – the bad part
Check-in
Barcode
Generator
Web-UI
Me
Output
Mgmt
Current situation – the bad part
Check-in
Barcode
Generator
Web-UI
Me
Output
Mgmt
Current situation – 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 – much better!
Check-in
Barcode
Generator
Web-UI
Me
Output
Mgmt
Possible situation – much better!
Stateful
Retry
Warning:
Contains Opinion
Berlin, Germany
http://berndruecker.io/
mail@berndruecker.io
@berndruecker
Bernd Ruecker
Co-founder and
Chief Technologist of
Camunda
Check-In
You can use a workflow engine (=durable state machine)!
Barcode
REST
Stateful
retry
Want to see code?
https://github.com/berndruecker/flowing-retail
has to implement
Retry
has to implement
Idempotency
Client Service Provider
Don‘t worry, it will happen safely –
even if you loose connection.
Feel free to reload this page any time!
Photo by pixabay, available under Creative Commons CC0 1.0 license.
Requirement: Idempotency of services!
Photo by pixabay, available under Creative Commons CC0 1.0 license.
Requirement: Idempotency of services!
Photo by Chr.Späth, available under Public Domain.
Make every service idempotent!
Credit
Card
Payment
Charge Credit Card
cardNumber
amount
Charge Credit Card
cardNumber
amount
transactionId
Not idempotent
Idempotent
charge
Generally: create Ids
as soon as possible
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
Cancel
charge
Being able to implement
long running services
is essential for smart APIs
(on a technical level)
@berndruecker
Example
Booking Payment
Retrieve
Payment
@berndruecker
Example
Booking Payment
Credit
Card
Retrieve
Payment
@berndruecker
Example
Booking Payment
Credit
Card
Retrieve
Payment
Rejected
@berndruecker
Example
Booking Payment
If the credit
card was
rejected, the
customer can
provide new
details
Credit
Card
Retrieve
Payment
Rejected
Rejected
@berndruecker
Example
Booking Payment
If the credit
card was
rejected, the
customer can
provide new
details
Credit
Card
Retrieve
Payment
Rejected
Rejected
@berndruecker
A few
smart god services
tell
anemic CRUD services
what to do
Sam Newmann
Payment
failed
Who is responsible to deal with problems?
Booking Payment
If the credit
card was
rejected, the
customer can
provide new
details
Credit
Card
Retrieve
Payment
Rejected
Payment
received
@berndruecker
Payment
failed
Long running services
Booking Payment
Credit
Card
Retrieve
Payment
Rejected
Payment
received
Smart endpoints are
potentially long-running
@berndruecker
Being able to implement
long running services
is essential for smart APIs
(on a business level)
@berndruecker
Long running services
require async communication
Synchronous communication
Synchronous communication
is the crystal meth of
distributed programming
Todd Montgomery and Martin Thompson
in “How did we end up here” at GOTO Chicago 2015
Check-in
Barcode
Generator
Web-UI
Me
Output
Mgmt
Asynchronous communication
You need to
monitor
timeouts
Workflow…
Workflow…
Being able to implement
long running services
makes it easy to get async
@berndruecker
Can your company
leverage your
hipster architecture?
Shutterstock
You need to
change business
processes and
customer
experience!
Example
@berndruecker
Example
Payment
Seat
ReservationBooking
Ticket
Generation
Example
@berndruecker
sync
Example
@berndruecker
Weaknesses
Payment
Seat
ReservationBooking
Ticket
Generation
REST
Weaknesses: Latency creep
Payment
Seat
ReservationBooking
Ticket
Generation
REST
300 ms
1150 + x ms
600 ms
250 ms
Weaknesses: Availabiliy erosion
Payment
Seat
ReservationBooking
Ticket
Generation
REST
99 % uptime
99 % uptime
99 % uptime
96 % uptime
And it is even hard to implement
Payment
Seat
ReservationBooking
Ticket
Generation
REST
And it is even hard to implement
Payment
Seat
ReservationBooking
Ticket
Generation
REST
Typical pattern
Payment
Seat
ReservationBooking
Ticket
Generation
REST
Simulate synchronicty by waiting
(callback or polling)
@berndruecker
happy
case
failure
case
Redesign your business process accordingly!
Or some interface
to poll for status
Sync in happy case
Async response
@berndruecker
Redesign your business process accordingly!
Your business processes need to be more reactive!
@berndruecker
https://www.reactivemanifesto.org/
Yeah!
Let‘s go reactive.
Phil Calcado at QCon NYC 2019
API
API
API
API
API
API
API
Microservices
External Services
Standard Software
„What the hell just happened?“
@berndruecker
Example:
order fulfillment via
dash button
Photo by 0xF2, available under Creative Commons BY-ND 2.0
license. https://www.flickr.com/photos/0xf2/29873149904/
@berndruecker
Three steps…
@berndruecker
(Micro-)services
Checkout
Payment
Inventory
Shipment
@berndruecker
Order
Placed
Payment
Received
Goods
Fetched
Notification
Checkout
Payment
Inventory
Shipment
Event-driven architecture
@berndruecker
Peer-to-peer event chains
Checkout
Payment
Inventory
Shipment
Order
placed
Payment
received
Goods
shipped
Goods
fetched
@berndruecker
Peer-to-peer event chains
Checkout
Payment
Inventory
Shipment
Order
placed
Payment
received
Goods
shipped
Goods
fetched
@berndruecker
The danger is that it's very easy to make
nicely decoupled systems with event
notification, without realizing that you're
losing sight of that larger-scale flow, and
thus set yourself up for trouble in future
years.
https://martinfowler.com/articles/201701-event-driven.html
@berndruecker
The danger is that it's very easy to make
nicely decoupled systems with event
notification, without realizing that you're
losing sight of that larger-scale flow, and
thus set yourself up for trouble in future
years.
https://martinfowler.com/articles/201701-event-driven.html
@berndruecker
The danger is that it's very easy to make
nicely decoupled systems with event
notification, without realizing that you're
losing sight of that larger-scale flow, and
thus set yourself up for trouble in future
years.
https://martinfowler.com/articles/201701-event-driven.html
@berndruecker
Peer-to-peer event chains
Checkout
Payment
Inventory
Shipment
Order
placed
Payment
received
Goods
shipped
Goods
fetched
Fetch the goods
before the
payment
@berndruecker
Peer-to-peer event chains
Checkout
Payment
Inventory
Shipment
Fetch the goods
before the
payment
Goods
fetched
Order
placed
Payment
received
Goods
shipped
@berndruecker
What we wanted
Photo by Lijian Zhang, available under Creative Commons SA 2.0 License and P..19 / CC BY-SA 4.0
@berndruecker
Order
Extract the end-to-end responsibility
Checkout
Payment
Inventory
ShipmentPayment
received
Order
placed
Retrieve
payment
@berndruecker
Order
Events & Commands
Checkout
Payment
Inventory
ShipmentPayment
received
Order
placed
Retrieve
payment
@berndruecker
Event
Command
Fact,
happened in the past,
immutable
Intend,
Want s.th. to happen
Order
It is not about the protocol!
Checkout
Payment
Inventory
Shipment
Order
placed
Retrieve
payment
It can still be messaging!
@berndruecker
Order
It is about where to decide about the coupling!
Checkout
Payment
Inventory
Shipment
Order
placed
Retrieve
payment
Order decides
. to listen to the event
. to issue the command
@berndruecker
Extract Orchestration logic
Workflows live inside service boundaries
@berndruecker
Your ITarchitecture
Choreography
Orchestration
@berndruecker
Your services
or applications
Monolith Chaos
Choreography
Orchestration
@berndruecker
Process Monitoring
Your services
or applications
Your ITarchitecture
Process Monitoring
Monolith Chaos
Choreography
Orchestration
Your services
or applications
Balance choreography and orchestration
@berndruecker
. Distributed systems are complex. At-least-once, retries and
idempotency are here to stay. Embrace async!
. Long-running services make your life easier and your API
smarter.
. Change business processes and customer experience accordingly
. Use commands + events = balance choreography and
orchestration
Thank you!
mail@berndruecker.io
@berndruecker
https://berndruecker.io
https://medium.com/berndruecker
https://github.com/berndruecker
https://www.infoq.com/articles/events-
workflow-automation
Contact:
Slides:
Blog:
Code:
https://www.infoworld.com/article/3254777/
application-development/
3-common-pitfalls-of-microservices-
integrationand-how-to-avoid-them.html
https://thenewstack.io/5-workflow-automation-
use-cases-you-might-not-have-considered/

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