Scaling N26 Technology Through Hypergrowth @folgerfonseca QCon - - PowerPoint PPT Presentation

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Scaling N26 Technology Through Hypergrowth @folgerfonseca QCon - - PowerPoint PPT Presentation

Feb 21, 2023 469 likes •1.12k views

Scaling N26 Technology Through Hypergrowth @folgerfonseca QCon London 03.2020 Building the bank world loves to use A new approach to banking Best digital user A betuer price experience +5M +$1.66Bn Customers Monthly transaction volume

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SLIDE 1 @folgerfonseca QCon London 03.2020

Scaling N26 Technology Through Hypergrowth

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Building the bank world loves to use

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A new approach to banking

A betuer price Best digital user experience
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+5M

Customers

26

Markets

+$680M

Funding

+$1.66Bn

Monthly transaction volume

4

Locations

+1500

Employees
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SLIDE 7 SPACES

Organise your finances.

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N26 tech

+180 Microservices 100% In the cloud +60 Cross-functional teams +500 Deployments per week
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but

How?

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BACKGROUND

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+100K

Customers

6

Markets

+40M

Funding

+100

P&T Employees

3 Years ago

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Our challenges

Small team Relatively young Time critical
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Our challenges

Small team Relatively young Time critical
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Experimentation & Knowledge sharing 2 Days GSDD 1x every 6 weeks Lightning talks 1x Week

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HYPERGROWTH

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Hypergrowth

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More User → More Markets → More Security → More Stability → More Tech Hubs → More People → Our challenges

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PEOPLE RELEASES SERVICES RELIABILITY

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SLIDE 20 Our Goal

Bring in more teams to enable us to get more users and release the in new markets

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SLIDE 21 Backend Product QA Agile SRE Security

Company onboarding

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Team onboarding

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Buddy system

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Target operating model

Segments Group Group Team Team

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Target operating model 3 Different currencies 3 Different banking regulations +10 Payment schemes 4 Different locations

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SLIDE 26 Our Goal

Have consistency in technology in

  • rder to build up knowledge,

enable team mobility

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Microservices allows you to write each new service in a different language.

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Languages

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SLIDE 30 Tech Radar

Decisions & Alignment

  • Based on Thoughtworks
  • Safe way to try things
  • Favor Consistency
  • Alignment across teams
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PEOPLE RELEASES SERVICES RELIABILITY

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SLIDE 32 Problem

How to avoid micro-monoliths

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SLIDE 33 Infrastructure as Code

IaC

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SLIDE 34 Infrastructure as code Servers Network Setuings
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SLIDE 35 Reduced human error Automation prevents deviation

Infra as Code Benefits

Scalable Small number of people-to-server ratio Strong separation AWS organisations enables very fine-grained segregation of services Agile Supporting change or new services easy → → → → Source controlled 4 eyes principle plus audit →
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SLIDE 36

Remember meltdown and spectre?

Example
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SLIDE 37 Meltdown Spectre
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“

Affected billions of systems globally

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Vulnerabilities publicly announced

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Intel responds with initial statement

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Intel announces a fix “for the majority”

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Amazon announces updated Kernel

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Base image updated and tested

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Deployments with new image incrementally tested and rolled out

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Result? Done!

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“

the speed

  • f a startup and

the security of a bank

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PEOPLE RELEASES SERVICES RELIABILITY

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SLIDE 49 Continuous Delivery

CD

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SLIDE 50 Sign Off Continuous Delivery Code Review and commit Security and automated testing Artefact build Artefact Publish Dev Deploy Staging Deploy Live Canary Deploy Automated checks Automated checks Automated checks Live roll
  • ut
End
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SLIDE 51 Continuous Delivery - Live Blue Green LB Instance Instance Instance Instance Instance
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SLIDE 52 Instance Instance Instance Instance Instance Continuous Delivery - Live Blue Green LB +1
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SLIDE 53 Continuous Delivery - Live Blue Green LB +1 +1 +1 +1 +1 Instance Instance Instance Instance Instance
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SLIDE 54 Customisable Good machine selection for types of services Fine-grained control Implement fine-grained security and compliance controls

CD Benefits

Rollbacks are easy Historical AMIs enable rollback Immutable infrastructure No snowflakes in our infrastructure Scalable Multiple instances enable scaling control → → → → →
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PEOPLE RELEASES SERVICES RELIABILITY

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SLIDE 56 Problem

While having a high release rate, keep high availability and Minimize risks.

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SLIDE 57 Incidents >500 deployments per week

High Availability

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The best way to avoid incidents is by avoiding changes

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Detection Diagnostic Fix Delivery Minimize time

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Blameless Postmortem culture

High Availability

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What includes post mortem?

Preventing actions Actions to mitigate A written record The incident impact The root cause
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PEOPLE RELEASES SERVICES RELIABILITY

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Lessons learned

Keep a availability in mind Keep a close eye on service objectives Infra-as-code AWS makes it easy to implement Continuous Delivery Is enable trouble healthy automation Adjust to your journey conditions Trade off analysis
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Scaling N26 Technology Through Hypergrowth

Thank you! Any questions? @folgerfonseca