Fed up with stop and go in your data center? Why not shift into overdrive and pull into the fast lane? Learn how AutoScout24, the largest online car marketplace Europe-wide, are building their Autobahn in the cloud. Reinventing themselves by making a radical transition from monoliths to microservices, from .NET on Windows to Scala on Linux, from data center to AWS and from built by devs and run by ops to a DevOps mindset.

1. Reactive Microservices Roadshow | 28.09.2016 | Christian Deger
Highway to heaven
Building microservices in the cloud

2. Christian Deger
Chief Architect
cdeger@autoscout24.com
@cdeger

3. 2,4 Million Vehicles

4. Microservices in the cloud adoption?

5. 2000 Servers
2 Data Centers
MTBF optimized

6. Dev and Ops Silos
Development
“Change”
Operations
“Stability”

8. New
CEO

9. Talent?
Do you attract

11. 21st Century
What does a
tech company
look like?

13. Great Design
Universally Connected
Mobile First
Instant Business Value
Massive Data Insight
Highly Available

14. good, but not great
Hmm, we are

15. Reboot
everything

16. Project
Tatsu

17. .NET / Windows to JVM / Linux
Monolith to Microservices
Data center to AWS
Devs + Ops to Collaboration culture
Involve product people

18. Major JVM Languages

19. No traction in major
internet companies
Major JVM Languages

20. Major JVM Languages
No traction in major
internet companies
Not accepted by C#
developers

21. Major JVM Languages
No traction in major
internet companies
Not accepted by C#
developers
Attracts talent
Is a starting point

22. Why Microservices?
Speed
Independent deployable
Fast local decisionsAutonomous teams
Strong boundaries
Loosely coupled Technology diversity
Scale the organization

23. same
direction

24. STRATEGIC
GOALS
Goals of the business side
ARCHITECTURAL
PRINCIPLES
High-Level Principles
DESIGN AND DELIVERY
PRINCIPLES
Tactical measures
REDUCE TIME TO MARKET
Establish fast feedback loops to learn, validate and
improve. Remove friction, hand-offs and undifferentiated
work.
MOBILE FIRST
Start small and use device capabilities.
SUPPORT DATA-DRIVEN DECISIONS
Provide relevant metrics and data for user and market
insights. Validate hypothesis for problems worth solving.
YOU BUILT IT, YOU RUN IT
The team is responsible for shaping, building, running and
maintaining its products. Fast feedback from live and
customers helps us to continuously improve.
ORGANIZED AROUND BUSINESS CAPABILITIES
Build teams around products not projects. Follow the
domain and respect bounded contexts. Make boundaries
explicit. Inverse Conway Maneuver.
LOOSELY COUPLED
By default avoid sharing and tight coupling.
No integration database. Don’t create the next monolith.
MACRO AND MICRO ARCHITECTURE
Clear separation. Autonomous micro services within the
rules and constraints of the macro architecture.
AWS FIRST
Favor AWS platform service over managed service,
over self-hosted OSS, over self built solutions.
DATA-DRIVEN / METRIC-DRIVEN
Collect business and operational metrics. Analyze, alert
and act on them.
ELIMINATE ACCIDENTAL COMPLEXITY
Strive to keep it simple. Don’t over-engineer.
Focus on necessary domain complexity.
AUTONOMOUS TEAMS
Make fast local decisions. Be responsible. Know your
boundaries. Share findings.
INFRASTRUCTURE AS CODE
Automate everything: Reproducible, traceable, auditable
and tested. Immutable servers.
CROSS-FUNCTIONAL TEAMS
Engineers from all backgrounds work together in
collaborative teams as engineers and share
responsibilities. No silos.
BE BOLD
Go into production early. Value monitoring over tests.
Fail fast, recover and learn. Optimize for MTTR not MTBF.
SECURITY, COMPLIANCE AND DATA PRIVACY
Build with least privilege and data privacy in mind.
Know your threat model. Limit blast radius.
COST EFFICIENCY
Run your segment in the right balance of cost and value.
ONE SCOUT IT
Foster collaboration. Harmonize and standardize tools.
Pull common capabilities into decoupled platform services.
Version 2.0
Icons made by Freepik from www.flaticon.com are licensed under CC BY 3.0
BEST TALENT
Autonomy, Purpose and Mastery: We know why we do
things, we decide how to approach them and deliberately
practice our skills.

25. Build
MeasureLearn

26. Autonomous teams
business capabilities
organized around

27. collaboration culture

28. You build it,
you run it.

29. Monitoring is the new testing

30. How (not) to share
shared nothing as default
loosely coupled
fast local decisions
voluntary adoption
exception: macro concerns

31. Follow the
trail

32. Continuous
Delivery

33. Application code in
one repository per
service.
CI
Deployment package
as artifact.
CD
Deliver package to
servers
Delivery Pipeline – Data Center

34. Application code and
infrastructure
specification in one
repository per
service.
CI
Deployment package
and infrastructure
declaration as artifact.
CD
1. Create or update
service infrastructure.
2. New instances pull
down package and
start application.
Delivery Pipeline – AWS

36. Cattle,
not pets

37. Separate
code deployment
feature release
from

38. No
staging
environment

39. SQS + S3
Kinesis + S3
Kinesis + DynamoDB
SQS + DynamoDB
Proxy + DynamoDB
DynamoDB
Evolution

40. Unlimited Infrastructure with APIs

41. Migration strategy

43. PageSpeed Module
css (page+fragment)
js (page+fragment)
ngx_pagespeed
css (page)
js (page)
css (fragment)
js (fragment)

44. Event Streaming

45. Event Sourcing
one way data highway
and data pumps

46. Commit to Production
20 Minutes Cycle Time
New Service
1 Day Service Bootstrapping
3 Days Frontend
4 Days Backend

47. 015 Teams
025 Lambda Functions
200 Repositories
040 Microservices
009 Systems
Status Quo

49. Picture Credits
Tatsu Sign by Martin Lewison from The Hague, Zuid-Holland, The Netherlands under CC BY-SA 2.0
Martin Fowler by Webysther Nunes under CC BY-SA 4.0
Werner Vogels by Guido van Nispen under CC BY 2.0
"HotWheels - '69 Ford Torino Talladega“ by Leap Kye, licensed under CC BY-ND 2.0
Differences between Traditional vs Next Generation by Simon Wardley under CC BY-SA 3.0
Enterprise IT Adoption Cycle by Simon Wardley under CC BY-SA 3.0
And the future is private by Simon Wardley under CC BY-SA 3.0
Leosvel et Diosmani by Ludovic Péron under CC BY-SA 3.0
Spare wheel by Brian Snelson under CC BY 2.0
Wandergeselle by Sigismund von Dobschütz under CC BY-SA 3.0
Wheel clamps Texas by Richard Anderson from Denton, United States (Boots.) under CC BY-SA 2.0
Sharing Sucks (4536747557) by eyeliam from Portland, United States under CC BY 2.0
Traffic Jam by Doo Ho Kim under CC BY-SA 2.0
Puzzling by Bernd Gessler (Own work) CC BY-SA 3.0
Amazon16 by Neil Palmer/CIAT under CC BY-SA 2.0
Pizza by Jakob Dettner, Rainer Zenz under CC BY-SA 2.0 de
Bezos’ Iconic Laugh by Steve Jurvetson under CC BY 2.0