TL;DR Within Spotify, we run 20,000 batch data pipelines defined in 1,000+ repositories, owned by 300+ teams — daily. The [...]
Published by Guillaume Perchais, Sr. Product Manager
TL;DR For years, Spotify’s official engineering blog has been giving you a peek behind the curtain at Spotify R&D. Today, [...]
Published by Dave Zolotusky, Principal Engineer
At Spotify, we aim to build and improve our product in a data-informed way. To do that, teams are encouraged [...]
Published by Claire Detilleux, Sr. Data Scientist
Tell us more about working on Spotify Wrapped… I’m part of the Mambas team at Spotify, which is responsible for [...]
Published by Spotify Engineering
At Spotify, we strive to make our apps available to as many people as possible. As mobile developers, that means [...]
Published by Simon Schiller, Android Engineer
TL;DR For 2021 Wrapped, we were challenged to visually express a user’s Audio Aura based on how they listened this [...]
Published by Zela Taino, Engineer
At Spotify, data rules all. We log a variety of data, from listening history, to results of A/B testing, to [...]
Published by Flavio Santos (Data Infrastructure Engineer) and Robert Stephenson (Senior Product Manager)
At Spotify we run hundreds of experiments at any given time. Coordinating these experiments, i.e., making sure the right user [...]
Published by Mårten Schultzberg, Oskar Kjellin, and Johan Rydberg
2020 Wrapped is a story of gratitude and resilience. And we’re grateful for the people and teams behind the curtain [...]
Published by Javier Moscardó (Mosca)
In this post we’ll discuss how Spotify optimized and sped up elements from our largest Dataflow job, Wrapped 2019, for [...]
Published by Neville Li, Claire McGinty, Sahith Nallapareddy, & Joel Östlund
TL;DR We just open sourced Klio — our framework for building smarter data pipelines for audio and other media processing. [...]
Published by David Riordan and Lynn Root
So you’ve read Part I of our two-part series about the new Experimentation Platform we’ve built at Spotify, and now [...]
Published by Johan Rydberg
At Spotify we try to be as scientific as possible about how we build our products. Teams generate hypotheses that [...]
Published by Johan Rydberg
Every second more than 30,000 people around the world press play on the same song on Spotify. Imagine if you [...]
Published by Gandalf Hernandez
TL;DR The pursuit wasn’t always easy, but “putting data first” has helped Spotify dramatically improve the infrastructure team’s decision-making process [...]
Published by Raul Herbster
Engineer Carl Engström explains how lifting the 10,000 limit on Liked Songs enabled his team to address a much deeper [...]
Published by Spotify Engineering
At Spotify, we believe strongly in data-informed decision making. Whether we’re considering a big shift in our product strategy or [...]
Published by Andrew Maher
The Spotify Wrapped Campaign is one of Spotify’s largest marketing and social campaigns of the year. It enables our users to see [...]
Published by Bindia Kalra, Catie Edwards, Zoe Tiet
Tune in to Hans Dockter, CEO & Founder of Gradle, as he explains the emerging practice of Developer Productivity Engineering [...]
Published by Spotify Engineering
Anna started at our New York office three years ago and has recently been promoted to Staff Engineer. She and her husband live in Brooklyn and met while working at Spotify – where they used to sit just [...]
Published by Spotify Engineering
Hear from Spotify’s Erin Palmer, as she illustrates the use of Scio with Big Data, discusses why it makes certain [...]
Published by Spotify Engineering
Neville Li shares Spotify’s history of data processing and our transition to Scio, an open-source Scala API for Apache Beam [...]
Published by Spotify Engineering
Engineer Bram Leenders, explains what crypto-shredding is, how Spotify uses it to respect users’ privacy — and how Padlock, our [...]
Published by Spotify Engineering
Introduction Large-scale data processing is a critical component of Spotify’s business model. It drives music recommendations, artist payouts based on [...]
Published by Claire McGinty
