Highway to heavenBuilding microservices in the cloudMunich microservices meetup, June 2015

Agenda

Meet AutoScout24Shifting gears How we build our servicesHow we organize ourselves

AutoScout24 - 10.000ftC

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

From monolith to microservices...

...via swimlanes

C

New CEOC

Do you attract talent?C

C

Project TatsuW

Microservices

AWS

JVM / Linux

DevOps culture

Product

Five challengesW

Shiny new cut

Cut to the core

Add new business value

New user experience

W

Objectives

Mobile first, user centricSophisticated user experienceReduce time to marketAttract talentsReduce costs in IT production

W

Technical transformationW

Change the wheels while drivingW

Strategic GoalsGoals of the business side

Architectural PrinciplesHigh-Level Principles

Design and Delivery PrinciplesTactical measures

Reduce Time to MarketSpeed, Fast Feedback

Cost Transparency Collect metrics to allow decisions cost vs. value.

Support Data-Driven DecisionsListen to users and validate hypothesis.Provide as many relevant metrics & data as possible.

You build it, you run itResponsibility 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 CapabilitiesBuild teams around products not projects. Follow the domain and respect bounded contexts. Inverse Conway Maneuver

Shared NothingAvoid shared infrastructure and tight coupling as much as possible. Don’t create the next monolith.

Macro and Micro ArchitectureClear separation. Autonomous micro services within the rules and constraints of the macro architecture.

AWS FirstFavor AWS service over managed service, over self-hosted OSS, over self-rolled solutions.

Data-Driven/ Metric-DrivenCollect metrics from processes and applications. Analyze, alert and act on them.

Eliminate Accidental ComplexityStrive to keep it simple. Focus on essential complexity. No silver bullet.

Event Sourcing and PublishingKeep history of state changes and publish application events.

Autonomous TeamsMake fast local decisions. Be responsible. Know your boundaries. Share findings.

Continuous DeliveryDeliver changes reliable, often and fast.

Infrastructure As CodeAutomate everything: Reproducible, traceable and tested.Immutable servers over snowflake servers.

DevOps CultureDevelopers and Ops work together in collaborative teams as engineers. No silos.

Be BoldGo into production early. Value monitoring over tests. Recover and learn. Optimize for MTTR not MTBF.

Security & Data PrivacySecurity must be first class citizen and everybody’s concern. Keep data-privacy in mind.

C

Principles

Organized around business capabilities

You build it, you run it

Be bold

Macro and micro architecture

Event sourcing and publishing

C

Event Sourcing and data pumps

One way data highway

Event Sourcing - store history of all changes

C

SQS + S3

Kinesis + S3

Kinesis + DynamoDB

SQS + DynamoDB

Proxy + DynamoDB

DynamoDB

EvolutionW

Classified Events - OverviewC

Classified Events - BoundariesC

DynamoDB as the new Atom Feed

Learn to be come a cloud native

DynamoDB as service contract

The return of the integration database?

The price is right?

W

DynamoDB as the new Atom Feed

Learn to be come a cloud native

DynamoDB as service contract

The return of the integration database?

The price is right?

Event Sourcing rocks

C

Watchlist evolution

DynamoDB as JSON document store

Scheduled user journey test

Capacity exceeded

Requests throttled

Latency spikes for real users

C

From documents to events

Refactoring toward deeper insight

From CRUD to sync

Offline first

Writes are expensive

USD 20 over USD 500

C

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

Shared infrastructure

Shared nothing

Availability over shared nothing

Convenience offerings

No side effects

Fast local decisions over committees

W

Shared nothing?

How many environments?Use over re-useRe-use only after hardeningHow to share

Copy n’paste, OSS, library

W

Unified log processing

AWS EC2AWS Kinesis

Event Streams

Unstructured Log Stream

Service A

Service B

System Log

ELB Log Stream

ELB Access Logs S3 Collector

Collector

Collector

ElasticSearch

Kibana

JSON

JSON

JSON

Collector

in progress

System Metrics Stream

Collectd

???

AWS CloudWatch

C

Unified log processingC

Optimised for imaginary use cases?

JVM metrics ... err not used

Application events over log files

What are the options?

How to build autonomous teams

Do not fall back into old behavioursBeware of Mandelbrot teamsPager duty so that you run itPart-time ops not workingNot all T-shapes are the same

WolfCW

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

C

Team over infrastructure guildC

Focus sliders

Product over platform

platform

product

time

W

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

C

cdeger@autoscout24.com @cdegerwschlegel@thoughtworks.com @wolfwolf

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