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Highway to heaven - Microservices Meetup Berlin

Fed up with stop and go in your data center? Why not shift into overdrive and pull into the fast lane? Learn how AutoScout24 are building their Autobahn in the cloud to become the market leader in Europe's vehicle classified business.

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.

While the current stack keeps running, ever more microservices will go live as you listen to stories from the trenches.

Key takeaways from this talk includes: How to...
… become cloud native
… evolve the architecture
… create “you build it you run it” teams
… involve business people in the transformation

Created and presented together with Wolf Schleger (ThoughtWorks)

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Highway to heaven - Microservices Meetup Berlin

  1. 1. Highway to heaven Building microservices in the cloud Microservices Meetup Berlin, September 2015
  2. 2. Agenda Meet AutoScout24 Shifting gears How we build our services How we organize ourselves
  3. 3. AutoScout24 - 30.000ft CC
  4. 4. Baseline AutoScout24 IT Highly optimized, but of last decade IT platform supported growth for >6 years Microsoft oriented stack Enterprise IT setup - MTBF over MTTR Proven agile and lean principles C
  5. 5. New CEO CC
  6. 6. Do you attract talent? CC
  7. 7. CC
  8. 8. Project Tatsu WW
  9. 9. Monolith to Microservices Data center to AWS .NET / Windows to JVM / Linux Devs + Ops to DevOps culture Involve product people Five challenges WW
  10. 10. Shiny new cut Cut to the core Add new business value New user experience WW
  11. 11. Technical transformation WW
  12. 12. Change the wheels while driving WW
  13. 13. Strategic Goals Goals of the business side Architectural Principles High-Level Principles Design and Delivery Principles Tactical measures Reduce Time to Market Speed, Fast Feedback Cost Transparency Collect metrics to allow decisions cost vs. value. Support Data-Driven Decisions Listen to users and validate hypothesis. Provide as many relevant metrics & data as possible. You build it, you run it Responsibility to run and maintain a product stays with the building team. 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. Inverse Conway Maneuver Shared Nothing Avoid shared infrastructure and tight coupling as much as possible. 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 service over managed service, over self-hosted OSS, over self-rolled solutions. Data-Driven/ Metric-Driven Collect metrics from processes and applications. Analyze, alert and act on them. Eliminate Accidental Complexity Strive to keep it simple. Focus on essential complexity. No silver bullet. Event Sourcing and Publishing Keep history of state changes and publish application events. Autonomous Teams Make fast local decisions. Be responsible. Know your boundaries. Share findings. Continuous Delivery Deliver changes reliable, often and fast. Infrastructure As Code Automate everything: Reproducible, traceable and tested. Immutable servers over snowflake servers. DevOps Culture Developers and Ops work together in collaborative teams as engineers. No silos. Be Bold Go into production early. Value monitoring over tests. Recover and learn. Optimize for MTTR not MTBF. Security & Data Privacy Security must be first class citizen and everybody’s concern. Keep data-privacy in mind. CC Another goal Work in progress...
  14. 14. Principles Organized around business capabilities You build it, you run it Be bold Macro and micro architecture Shared nothing CWCW
  15. 15. Shared infrastructure Shared nothing Availability over shared nothing Convenience offerings No side effects Fast local decisions over committee Respect family ties WW
  16. 16. Shared nothing? How many environments? Use over re-use Re-use only after hardening How to share Copy n’paste, OSS, library Pull instead of push WW
  17. 17. Frontend integration Shared nothing Autonomous teams One domain High optimisation CC
  18. 18. Frontend integration CC
  19. 19. Frontend integration Pages Fragments Assets Caching CC
  20. 20. PageSpeed Module css (page+fragment) js (page+fragment) ngx_pagespeed css (page) js (page) css (fragment) js (fragment) CC
  21. 21. Event Sourcing and data pumps One way data highway Event Sourcing - store history of all changes WW
  22. 22. SQS + S3 Kinesis + S3 Kinesis + DynamoDB SQS + DynamoDB Proxy + DynamoDB DynamoDB Evolution WW
  23. 23. Classified Events WW
  24. 24. Classified Events push WW
  25. 25. DynamoDB as integration database? Two kinds of coupling Payload and connectivity Payload is DynamoDB agnostic DynamoDB as technical service contract WW
  26. 26. From documents to events Refactoring toward deeper insight From CRUD to sync Offline first Writes are expensive USD 20 over USD 500 CC
  27. 27. How many layers to estimate a price Evolving architecture R backend and Play application Single Play application Play backend and Play web server Long feedback cycles Frequency of change W CC
  28. 28. How to build autonomous teams Do not fall back into old behaviours Beware of Mandelbrot teams Pager duty so that you run it Part-time ops not working Not all T-shapes are the same Wolf WW
  29. 29. Infrastructure guild Agree on things to do Share learnings Delegate implementation to teams Empty backlog should be normal How about infrastructure product teams? Mind the Shirky Principle CC
  30. 30. Focus sliders Product over platform time WW IT business
  31. 31. Focus sliders Product over platform Delivery over learning time WW IT business
  32. 32. Focus sliders (cont.) Cash stack meets shiny new stack One company Lights on in cash stack Feature freeze Where to build new features? Ease of integration helps business people CC
  33. 33. @cdeger @wolfwolf
  34. 34. Attributions Blue sky, white-gray clouds by nature protector Natubico, [CC BY-SA 3.0] A Danish Perspective by NASA [Public domain] GREG EINRAD Amazon16 by Neil Palmer/CIAT [CC BY-SA 2.0] BERGSTEIGER Barber in Cameroon by James Emery from Douglasville, United States (Daddy Joe_1355) [CC BY 2.0] Wide objectives by Kivela (Own work) [Public domain] href=" Transformer Fire Barrier by GerryS1 (Own work) [CC BY-SA 3.0 or GFDL]
  35. 35. Attributions (cont) Alonso Renault Pitstop Chinese GP 2008 by Bert van Dijk (Pitstop F1 ING Renault) [CC BY-SA 2.0] Principle of Panchasheel by Prakash Adhikary (Own work) [CC BY 3.0] Traffic Jam by Doo Ho Kim [CC BY-SA 2.0] Pellets by The original uploader was Richard Mayer at German Wikipedia [GFDL or CC-BY-SA-3.0] Pipes and Valves by Uwe Hermann [CC BY-SA 2.0] Size variation in Coccinella undecimpunctata (2127991716) by Gilles San Martin from Namur, Belgium [CC BY-SA 2.0] Mille crêpe by Laitr Keiows (Own work) [CC BY-SA 3.0 or GFDL] Country Energy power line replacement 01 by Bidgee (Own work) [CC BY-SA 3.0] Puzzling by Bernd Gessler (Own work) [CC BY-SA 3.0]
  36. 36. Attributions (cont) Sharing Sucks (4536747557) by eyeliam from Portland, United States [CC BY 2.0] 7Line 9184 (8263568241) by Metropolitan Transportation Authority of the State of New York (7Line_9184 Uploaded by tm) [CC BY 2.0] England rugby team 1905 by Russell & Sons (The Graphic) [Public domain or Public domain] Wandergeselle by Sigismund von Dobschütz [CC BY-SA 3.0] Faber-Rechenschieber 5304 by User:Karl Gruber (Own work) [CC BY-SA 4.0] Wheel clamps Texas by Richard Anderson from Denton, United States (Boots.) [CC BY-SA 2.0] GuadalupeNOLA15Oct07Thanks by Infrogmation of New Orleans (Photo by Infrogmation) [GFDL or CC BY-SA 3.0] AtariBasic by Calin99 (Own work) [GPL] Spare wheel by Brian Snelson [CC BY 2.0]