Um in gesättigten Märkten neues Wachstum zu generieren, müssen Fachabteilungen ihre Kunden besser verstehen und Innovationen hervorbringen. Durch agile Methoden und Continuous Delivery kann Software in immer kürzeren Zyklen in Produktion gebracht werden. Doch reicht ein solches Vorgehen schon aus, um ein besseres Verständnis von ihren Kunden zu bekommen? Es ist darüber hinaus wichtig mit einem Teil der Kunden zu experimentieren und zu validieren, ob Ideen von Kunden wirklich angenommen werden und mehr Umsatz generiert wird. Viele IT-Organisation können ihre agilen Prozesse noch um die Lean Startup Methode erweitern. Da viele Architekturen historisch gewachsen sind und nicht die notwendige Flexibilität aufweisen, um mit den Kunden solche komplexen Szenarios zu verproben, muss man erst einmal auf dieser Ebene ansetzen. Der Microservice Architekturstil verspricht durch lose gekoppelte Services hier die notwendige Beweglichkeit. Wir sehen uns anhand eines Online-Shops an, wie man eine eine Microservice-Architektur erstellen kann und welche Konsequenzen dies nicht nur auf die Struktur der Software sondern auch auf eine Vielzahl von IT-Prozessen hat.

2. Microservices und die Jagd nach
mehr Konversion
Bernd Zuther - IT Consultant Big Data
codecentric AG

10. Conversion
Conversion Rate =
Number of Goals achieved
Visits
act of converting site visitors into paying customers
proportion of visits to a website which take action to go beyond a website visit
·
·
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11. FeatureToggle
public class TopSellerRecommendationPanel extends AbstractShopBasePanel {
@SpringBean
private FeatureToogleBean featureToogleBean;
...
@Override
protected void onConfigure() {
super.onConfigure();
setVisible(featureToogleBean.isTopSellerFeatureEnabled());
}
...
}
JAVA

15. Disadvantages that we had with the way we
develop software
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16. Disadvantages that we had with the way we
develop software
Development:·
Long feature development cycles
Long feedback times
Long build time
Strange behavior after changes
Application scalability
-
-
-
-
-
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17. Disadvantages that we had with the way we
develop software
Development:
Product Management:
·
Long feature development cycles
Long feedback times
Long build time
Strange behavior after changes
Application scalability
-
-
-
-
-
·
Long time to market
A/B testing difficult to achieve
Scalability of workload
-
-
-
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19. Data
Functionality
Microservice
17/61

20. Data
Functionality
Microservice
fits in one brain,·
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21. Data
Functionality
Microservice
fits in one brain,
designed for
replaceability,
·
·
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22. Data
Functionality
Microservice
fits in one brain,
designed for
replaceability,
autonomy
(organisation &
technology)
·
·
·
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23. Microservice Taxonomy
Microservice
Application
Frontend
Service
Service
Repository
Service
Discovery
Contract Implementation Interface
Business
Logic
Data
Monitoring /
Logging
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24. Online Shop - Use cases
Online Shop
order products
Buyer
view catalog
<include>
create cart
<include>
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25. Online Shop - Migration
<<device>>
Microservice Server
<<web server>>
Ngnix
<<service>>
Cart Service
<<service>>
Product
Service
<<device>>
Monolith Server
<<application server>>
Tomcat
<<artifact>>
shop.war
<<artifact>>
Catalog View
<<artifact>>
cart-service.jar
<<artifact>>
product-
service.jar
Cart
Catalog
Product
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30. Microservice - Communication
Micro-
service
Micro-
service
Links
REST/
AMQP
Data Replication
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33. Postel’s Law
{
firstname: "Bernd",
lastname: "Zuther",
street: "Elsenheimerstraße 55a",
city: "München",
zip: 80687
}
JAVASCRIPT
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34. Postel’s Law
{
firstname: "Bernd",
lastname: "Zuther",
birthday: "1983/08/15",
street: "Elsenheimerstraße 55a",
city: "München",
zip: 80687
}
JAVASCRIPT
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36. Postel’s Law
{
firstname: "Bernd",
lastname: "Zuther",
birthday: "1983/08/15",
addresses : [{
street: "Elsenheimerstraße 55a",
city: "München",
zip: 80687,
type: "WORK"
}]
}
JAVASCRIPT
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38. Postel’s Law
{
firstname: "Bernd",
lastname: "Zuther",
birthday: "1983/08/15",
street: "Elsenheimerstraße 55a",
city: "München",
zip: 80687,
addresses : [{
street: "Elsenheimerstraße 55a",
city: "München",
zip: 80687,
type: "WORK"
}]
}
JAVASCRIPT
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40. Alternatives
URL:
Custom request header:
Accept header:
·
simply whack the API version into the URL, e.g. https://shop/api/v2/cart/all-
·
same URL as before but add a header “api-version: 2”-
·
modify accept header to specify the version, e.g. “Accept:
application/vnd.cart.v2+json”
-
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44. Multi Deployment Pipeline
Build Test Publish
UI-Test
Build Test Publish
Deploy
Load-Test
Catalog View
Productservice
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48. Docker

49. Docker-Work ow
bz@cc $ docker build -t zutherb/product-service .
bz@cc $ docker push zutherb/product-service
bz@cc $ docker pull zutherb/product-service
bz@cc $ docker run zutherb/product-service
bz@cc $ docker ps
CONTAINER ID IMAGE COMMAND CREATED
87bb5524067d zutherb/product-service:latest "/product-0.6/bin/pr 14 seconds
BASH

50. Canary Release
Old Version
Web
Server
Application
Server
Database
Server
New Version
Web
Server
Application
Server
Database
Server
RouterUsers
95%
5%
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51. Distributed System
Resource
Allocator
Executor Executor Executor
Scheduler
Docker
Repository

52. Mesos
Mesos
Master
Mesos
Slave
Mesos
Slave
Mesos
Slave
Marathon
Docker
Repository
Scheduler
Resource
Allocator
Executor
Standby
Mesos
Master
Standby
Mesos
Master
Zookeeper
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53. Vamp (Very Awesome Microservices Platform)
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55. Log-Aggregator

56. Correlation Id
Checkout
Order
Service
Payment
Provider
ERP
System
Submit
Order
request
Payment
Payment
confirmation
request
shipping
Header
X-Correlation-ID
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57. Mapped Diagnostic Context
MDC.put("correlationId", "A8FFA290");
Logger logger = LoggerFactory.getLogger(SimpleMDC.class);
logger.info("Create Order");
JAVA
<appender name="CONSOLE" class="ch.qos.logback.core.ConsoleAppender">
<layout>
<Pattern>[%X{correlationId}] - %m%n</Pattern>
</layout>
</appender>
XML
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58. Summary
Pro Needs
supports A/B testing monitoring
effective technologies centralised logging
solution orientation fully automated deployment pipeline
incremental migration cluster management
organisation must be ready
Microservices do not guarantee more conversion!
You need to run experiments with your customers!

59. <Thank You!>
g+ plus.google.com/+BerndZuther
twitter @Bernd_Z
www bernd-zuther.de
github github.com/zutherb/

62. Links
Java Aktuell 02/15 - Microservices und die Jagd nach mehr Konversion
Microservice-Deployment ganz einfach mit Giant Swarm
Microservice-Deployment ganz einfach mit Kubernetes
Microservice-Deployment ganz einfach mit Docker Compose
Microservice-Deployment ganz einfach ohne Docker mit der Linux-
Paketverwaltung
Lean Startup
Test Driven Business Featuring Lean StartUp
Continuous Delivery mit dem FeatureToggle Pattern
FeatureToggle
Do Good Microservices Architectures Spell the Death of the Enterprise Service
Bus?
Microservices
·
·
·
·
·
·
·
·
·
·
·
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63. Links
Pipe
Service Oriented Architecture : What Is SOA?
The Twelve Factors
Three Golden Rules for Continuous Delivery
Your API versioning is wrong, which is why I decided to do it 3 different wrong
ways
Microservices im Zusammenspiel mit Continuous Delivery, Teil 1 – die Theorie
Fast, isolated development environments using Docker
Microservices versus OSGi: Über Sinn und Unsinn der 'neuen Inkarnation des
Webservice
Warnung vor dem Microservice – Versuch einer Definition
Micro Services in der Praxis: Nie wieder Monolithen!
Netflix Nebula
·
·
·
·
·
·
·
·
·
·
·
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64. Links
Deployment ganz einfach – Microservice Deployment mit Hilfe der Linux
Paketverwaltung
Splunk – Marke Eigenbau mit Elasticsearch, Logstash und Kibana (ELK Stack)
Scaling Docker with Kubernetes
Appstash Project
·
·
·
·
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65. Images
Delivery of semlor
Freebooks
SOA
Cuba Car
Landschaftspark Duisburg-Nord
Unfall von Herbert Stenger
Lieferwagen
Indianapolis Zoo
Developer At Work
Icom IC735 + Tuner
Just a face in the crowd
[119/366] Thumbs Up
Containers
·
·
·
·
·
·
·
·
·
·
·
·
·
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66. Images
Kaufrausch
Café con leche - Milchkaffee (CC)
Cloning Experiments: Jess Payne
hello, my name is bob ross the bushy-haired painter.
BLM Nevada
change machine
s. Bär
There's a light at the end of the tunnel...
2012 DC Zeitgeist III 11787
Red Rule
Schwarzwald Blumenwiese
·
·
·
·
·
·
·
·
·
·
·
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