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GOTO Berlin | 15.11.2016 | Christian Deger | @cdeger
Highway to heaven
Building microservices in the cloud
Christian Deger
Chief Architect
cdeger@autoscout24.com
@cdeger
2,4 Million Vehicles
Microservices in the cloud adoption?
2000 Servers
2 Data Centers
MTBF optimized
Dev and Ops Silos
Development
“Change”
Operations
“Stability”
New
CEO
Talent?
Do you attract
21st Century
What does a
tech company
look like?
Great Design
Universally Connected
Mobile First
Instant Business Value
Massive Data Insight
Highly Available
good, but not great
Hmm, we are
Reboot
everything
Project
Tatsu
.NET / Windows to JVM / Linux
Monolith to Microservices
Data center to AWS
Devs + Ops to Collaboration culture
Involve product people
“Death Star” Diagrams
Amazon 2008 Twitter 2013
http://scs-architecture.org/
Self-Contained Systems = Microservices Flavor
Team 1
Team 2 Team 3
One business
capability is
owned, built
and run as an
SCS by one
team.
Self-Contained
System are
vertical slices
integrated at
the UI.
Migration strategy
same
direction
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.
Build
MeasureLearn
Conway’s Law
“organizations which design systems ... are
constrained to produce designs which are
copies of the communication structures of
these organizations”
Autonomous teams
business capabilities
organized around
collaboration culture
You build it,
you run it.
We are all
engineers!
Monitoring is the new testing
Follow the
trail
Templates
• Faster bootstrapping
• Copied not inherited
• Collect and share best practices
Guilds
Self-organizing; common interests; across teams
Macro Architecture, Infrastructure, Frontend, QA...
Beware of mandelbrot teams
Continuous
Delivery
DevOps Survey
Forsgren, Nicole and Humble, Jez, The Role of Continuous Delivery in IT and Organizational Performance (October 27, 2015). Forsgren, N., J. Humble (2016). "The Role
of Continuous Delivery in IT and Organizational Performance." In the Proceedings of the Western Decision Sciences Institute (WDSI) 2016, Las Vegas, NV. . Available at
SSRN: http://ssrn.com/abstract=2681909 or http://dx.doi.org/10.2139/ssrn.2681909
DevOps Science
Application code in
one repository per
service.
CI
Deployment package
as artifact.
CD
Deliver package to
servers
Delivery Pipeline – Data Center
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
Cattle,
not pets
Separate
code deployment
feature release
from
No
staging
environment
• Consumer driven contracts
• Canary releases
• Shadow traffic
• Semantic monitoring
Integrate in production
Unlimited Infrastructure with APIs
Frontend integration
Loosely coupled
Autonomous teams
High optimization
PageSpeed Module
css (page+fragment)
js (page+fragment)
ngx_pagespeed
css (page)
js (page)
css (fragment)
js (fragment)
Hamburgers,
not cattle
Event Streaming
Picture Credits
"HotWheels - '69 Ford Torino Talladega“ by Leap Kye, licensed under CC BY-ND 2.0
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
Wandergeselle by Sigismund von Dobschütz under CC BY-SA 3.0
Puzzling by Bernd Gessler (Own work) CC BY-SA 3.0

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GOTO Berlin 2016

  • 1. GOTO Berlin | 15.11.2016 | Christian Deger | @cdeger Highway to heaven Building microservices in the cloud
  • 4. Microservices in the cloud adoption?
  • 5. 2000 Servers 2 Data Centers MTBF optimized
  • 6. Dev and Ops Silos Development “Change” Operations “Stability”
  • 7.
  • 8.
  • 11. 21st Century What does a tech company look like?
  • 12.
  • 13. Great Design Universally Connected Mobile First Instant Business Value Massive Data Insight Highly Available
  • 14. good, but not great Hmm, we are
  • 17. .NET / Windows to JVM / Linux Monolith to Microservices Data center to AWS Devs + Ops to Collaboration culture Involve product people
  • 18. “Death Star” Diagrams Amazon 2008 Twitter 2013
  • 19. http://scs-architecture.org/ Self-Contained Systems = Microservices Flavor Team 1 Team 2 Team 3 One business capability is owned, built and run as an SCS by one team. Self-Contained System are vertical slices integrated at the UI.
  • 22. 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.
  • 24. Conway’s Law “organizations which design systems ... are constrained to produce designs which are copies of the communication structures of these organizations”
  • 27. You build it, you run it.
  • 29. Monitoring is the new testing
  • 31. Templates • Faster bootstrapping • Copied not inherited • Collect and share best practices
  • 32. Guilds Self-organizing; common interests; across teams Macro Architecture, Infrastructure, Frontend, QA... Beware of mandelbrot teams
  • 35. Forsgren, Nicole and Humble, Jez, The Role of Continuous Delivery in IT and Organizational Performance (October 27, 2015). Forsgren, N., J. Humble (2016). "The Role of Continuous Delivery in IT and Organizational Performance." In the Proceedings of the Western Decision Sciences Institute (WDSI) 2016, Las Vegas, NV. . Available at SSRN: http://ssrn.com/abstract=2681909 or http://dx.doi.org/10.2139/ssrn.2681909 DevOps Science
  • 36. Application code in one repository per service. CI Deployment package as artifact. CD Deliver package to servers Delivery Pipeline – Data Center
  • 37. 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
  • 38.
  • 42. • Consumer driven contracts • Canary releases • Shadow traffic • Semantic monitoring Integrate in production
  • 45.
  • 46. PageSpeed Module css (page+fragment) js (page+fragment) ngx_pagespeed css (page) js (page) css (fragment) js (fragment)
  • 49.
  • 50. Picture Credits "HotWheels - '69 Ford Torino Talladega“ by Leap Kye, licensed under CC BY-ND 2.0 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 Wandergeselle by Sigismund von Dobschütz under CC BY-SA 3.0 Puzzling by Bernd Gessler (Own work) CC BY-SA 3.0