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Spotify's Reliable Event Delivery System

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Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/2rm1t5j. Igor Maravic talks about the design and operational aspects of Spotify’s reliable event delivery system. Filmed at qconlondon.com. Igor Maravic works as a Software Engineer at Spotify. He has worked on developing and maintaining Spotify's gateways, migrating mobile clients from using custom TLV protocol to HTTP, designing and developing continuous delivery infrastructure, stress testing services.

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Spotify's Reliable Event Delivery System Igor Maravić <igor@spotify.com> Software Engineer
InfoQ.com: News & Community Site Watch the video with slide synchronization on InfoQ.com! https://www.infoq.com/presentations/ spotify-event-delivery-system • Over 1,000,000 software developers, architects and CTOs read the site world- wide every month • 250,000 senior developers subscribe to our weekly newsletter • Published in 4 languages (English, Chinese, Japanese and Brazilian Portuguese) • Post content from our QCon conferences • 2 dedicated podcast channels: The InfoQ Podcast, with a focus on Architecture and The Engineering Culture Podcast, with a focus on building • 96 deep dives on innovative topics packed as downloadable emags and minibooks • Over 40 new content items per week
Purpose of QCon - to empower software development by facilitating the spread of knowledge and innovation Strategy - practitioner-driven conference designed for YOU: influencers of change and innovation in your teams - speakers and topics driving the evolution and innovation - connecting and catalyzing the influencers and innovators Highlights - attended by more than 12,000 delegates since 2007 - held in 9 cities worldwide Presented at QCon London www.qconlondon.com
Event
 Delivery System Recommendation
 Features Business
 Intelligence Royalty
 Calculations Crash
 Reporting AB Testing
HighLevel Overview
Event
 Delivery System >250 Unique Event Types
Event
 Delivery System > 100M Monthly Active Users
Cloud Powered
Event
 Delivery System Hourly Buckets 2017-03-08 10H 2017-03-08 11H 2017-03-08 12H 2017-03-08 13H 2017-03-08 14H 2017-03-08 10H 2017-03-08 11H 2017-03-08 12H 2017-03-08 14H 2017-03-08 10H 2017-03-08 11H 2017-03-08 13H 2017-03-08 14H 2017-03-08 10H 2017-03-08 11H 2017-03-08 12H 2017-03-08 14H 2017-03-08 12H 2017-03-08 13H 2017-03-08 13H
Event
 Delivery System Timely Delivery 2017-03-08 10H 2017-03-08 11H 2017-03-08 12H 2017-03-08 13H 2017-03-08 14H 2017-03-08 10H 2017-03-08 11H 2017-03-08 12H 2017-03-08 14H 2017-03-08 10H 2017-03-08 11H 2017-03-08 13H 2017-03-08 14H 2017-03-08 10H 2017-03-08 11H 2017-03-08 12H 2017-03-08 14H 2017-03-08 12H 2017-03-08 13H 2017-03-08 13H
24 / 7 Minimal Downtime
Customer Centric Distributed
 Configuration
 Service
Event
 Delivery System No Data Loss Auditing
 Service
Monitoring
System Monitoring Data Monitoring Data Loss Monitoring
Event
 Delivery System 2017-03-08 10H 2017-03-08 11H 2017-03-08 12H 2017-03-08 13H 2017-03-08 14H 2017-03-08 10H 2017-03-08 11H 2017-03-08 12H 2017-03-08 14H 2017-03-08 10H 2017-03-08 11H 2017-03-08 13H 2017-03-08 14H 2017-03-08 10H 2017-03-08 11H 2017-03-08 12H 2017-03-08 14H 2017-03-08 12H 2017-03-08 13H 2017-03-08 13H System Monitoring
System Monitoring
Event
 Delivery System 2017-03-08 10H 2017-03-08 11H 2017-03-08 12H 2017-03-08 13H 2017-03-08 14H 2017-03-08 10H 2017-03-08 11H 2017-03-08 12H 2017-03-08 14H 2017-03-08 10H 2017-03-08 11H 2017-03-08 13H 2017-03-08 14H 2017-03-08 10H 2017-03-08 11H 2017-03-08 12H 2017-03-08 14H 2017-03-08 12H 2017-03-08 13H 2017-03-08 13H Data Monitoring
Data Monitoring
Event
 Delivery System 2017-03-08 10H 2017-03-08 11H 2017-03-08 12H 2017-03-08 13H 2017-03-08 14H 2017-03-08 10H 2017-03-08 11H 2017-03-08 12H 2017-03-08 14H 2017-03-08 10H 2017-03-08 11H 2017-03-08 13H 2017-03-08 14H 2017-03-08 10H 2017-03-08 11H 2017-03-08 12H 2017-03-08 14H 2017-03-08 12H 2017-03-08 13H 2017-03-08 13H Data Loss Monitoring
Data Loss Monitoring
Scaling
> 100M MonthlyActive Users > 1.5M Events Per Second > 60 TB Delivered Per Day > 250 Unique Event Types
Event Type Ownership Distributed
 Configuration
 Service
Independent Event Streams Distributed
 Configuration
 Service
One Size Does Not Fit All ⚡
Autoscaling CPU based
 Autoscaling
Statless Components Statless Statefull
Averages Are Misleading 100% 0% 50%
Safety First Minimum 2 machines
Bootstrapping Single Worker Our Business
 Logic Monitoring
 Daemon Helios Deployment
 Agent Service Discovery
Leaky Abstractions 🔥 HealthChecks Kill Scripts
Suboptimal Resource Usage Events
 Published M achines Used
🔥 Using Autoscaler Responsibly Exponential Backoff Replace Datastore
Next Iterations Monitoring? ServiceDiscovery?
Testing
Event
 Service Test FileFile Tailer Consumer Completionist Deduper BigBrother
Игор Маравић <igor@spotify.com> Thank you!
https://www.spotify.com/jobs We’re hiring!
Event Service File μService File Tailer Distributed Config Service Deployment Service Consumer Completionist Deduper Consumer Completionist Deduper Consumer Completionist Deduper Auditing Service
THE END
Suboptimal Resource Usage cpulimit Competing ForResource Single Tenant
Following the day pattern Events
 Published M achines Used
Watch the video with slide synchronization on InfoQ.com! https://www.infoq.com/presentations/ spotify-event-delivery-system

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