Did you know that we sell Spotify’s developer productivity tools [...]
Published by Tyson Singer, Head of Technology and Platforms
On Spotify’s Analytics Platform, we’re dedicated to building products that [...]
Published by Federica Luraschi, Senior Data Scientist, with co-author Serena Fang
We have a lot of dashboards at Spotify. Our Insight [...]
Published by Skyler Johnson, Senior Data Scientist
Check out Data Platform Explained Part I, where we started [...]
Published by Anastasia Khlebnikova (Senior Engineer) and Carol Cunha (Product Manager)
Today, we announced Spotify’s latest products and services for companies adopting Backstage, the open source framework for building IDPs.
Published by Pia Nilsson, Senior Director of Engineering, Platform Developer Experience
As engineers working at Spotify, we frequently find ourselves explaining [...]
Published by Anastasia Khlebnikova (Senior Engineer) and Carol Cunha (Product Manager)
TL;DR We summarize the findings in our recent paper, Schultzberg, [...]
Published by Mårten Schultzberg (Sr. Manager, Staff Data Scientist), Sebastian Ankargren (Sr. Data Scientist), and Mattias Frånberg (Sr. Data Scientist)
Sometimes a shiny new feature brings more harm than good. The reason is simple — application size. Any addition to the application — be it code for a new feature, an image resource for a new button or even support for a new localization — contributes to the increase of the application’s size.
Published by Viktor Petrovski (Android Engineer), Dmitry Povolotskyi (Senior iOS Engineer), and Bruno Rocha (Senior iOS Engineer)
This week at KubeCon + CloudNativeCon in Chicago, the Cloud Native Computing Foundation announced that Spotify won their Top End User Award.
Published by Dave Zolotusky, Principal Engineer & CNCF Technical Oversight Committee Representative
Spotify runs paid marketing campaigns across the globe on various digital ad platforms. Being efficient with our marketing budget is critical for maximizing the return on ad spend.
Published by Bryan Maloney (Senior Engineering Manager), Christopher Tang, (Senior ML Engineer), Deepak Bhat (Senior Data Engineer), and Ryan Kim (Senior Product Manager)](https://storage.googleapis.com/production-eng/1/2023/10/EN205_Kelsey_ngn_1200x590.png)
How does Spotify manage a sprawling tech ecosystem made up [...]
Published by Spotify Engineering
TL;DR: Spotify is releasing a new commercial product for software [...]
Published by Tyson Singer, Head of Technology and Platforms
In Part 1 of this series, we introduced the within-unit [...]
Published by Sebastian Ankargren (Sr. Data Scientist), Mattias Frånberg (Sr. Data Scientist), and Mårten Schultzberg (Sr. Manager/Staff Data Scientist)
Spotify’s approach to challenges in sequential testing with longitudinal data [...]
Published by Sebastian Ankargren (Sr. Data Scientist), Mattias Frånberg (Sr. Data Scientist), and Mårten Schultzberg (Sr. Manager/Staff Data Scientist)
Messaging at Spotify At Spotify, we use messaging to communicate [...]
Published by Euan Dowers, Senior ML Engineer
TL:DR At Spotify, we run containerized workloads in production across [...]
Published by Marcus Hallberg, Security Engineer
This is part 3 in our series on Fleet Management [...]
Published by Matt Brown, Staff Engineer
Very often, when developing user interfaces, a lot of focus [...]
Published by Sergio Avalos, Senior Engineer
This is part 2 in our series on Fleet Management [...]
Published by David Flemström, Principal Product Manager, and Alexander Buck, Senior Engineer
This is part 1 in our series on Fleet Management [...]
Published by Niklas Gustavsson, VP, Engineering
Wrapped is Spotify’s global annual year-end campaign that celebrates our [...]
Published by Fred Wang, Senior Backend Engineer
On the Encore team (Spotify’s design system), there’s nothing we [...]
Published by Arielle Benedek (Product Manager), Rose Marantz (Web Engineer), and Tamas Geczy (Web Engineer)
Deep linking and attribution are important functionalities for a growing [...]
Published by Erik Dornbush, Sr. Systems Engineer
As the field of machine learning (ML) continues to evolve [...]
Published by Divita Vohra, Sr. Product Manager, Keshi Dai, Sr. ML Engineer, David Xia, Sr. ML Engineer, & Praveen Ravichandran, Staff Research Scientist
