On Spotify’s Analytics Platform, we’re dedicated to building products that empower data practitioners to discover, analyze, and share insights — [...]
We have a lot of dashboards at Spotify. Our Insight teams and analysts from across the company are constantly whipping [...]
Car rides have become connected and interactive these days with drivers jamming to music or catching up on podcasts or [...]
Check out Data Platform Explained Part I, where we started sharing the journey of building a data platform, its building [...]
TL;DR Sometimes we cannot estimate the required sample size needed to power an experiment before starting it. To alleviate this [...]
Today, we announced Spotify’s latest products and services for companies adopting Backstage, the open source framework for building IDPs.
As engineers working at Spotify, we frequently find ourselves explaining our robust data platform to fellow professionals who are contemplating [...]
TL;DR We summarize the findings in our recent paper, Schultzberg, Ankargren, and Frånberg (2024), where we explain how Spotify’s decision-making [...]
At Spotify, we’re dedicated to delivering a unified experience to our customers — which can sometimes be at odds with [...]
Each year, we aim to elevate the Spotify Wrapped experience for our users, crafting captivating data stories and pushing the [...]
Large sets of diverse data present several challenges for clustering, but through a novel approach that combines dimensionality reduction, recursion, and supervised machine learning, we’ve been able to obtain strong results.
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.
This week at KubeCon + CloudNativeCon in Chicago, the Cloud Native Computing Foundation announced that Spotify won their Top End User Award.
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.
For the past decade, Spotify has used approximate nearest-neighbor search technology to power our personalization, recommendation, and search systems. These [...]
](https://storage.googleapis.com/production-eng/1/2023/10/EN201_FOSSFund23Winners_blog-post_Op-2symmetrical-1200x-590.png)
TL;DR It’s back! Last year, we created the Spotify FOSS Fund to help support the free and open source software [...]
What is “Exclude from your taste profile”? Are you a parent forced to put the Bluey theme song on repeat? [...]
At Spotify, we have experimented with the Bazel build system since 2017. Over the years, the project has matured, and [...]
](https://storage.googleapis.com/production-eng/1/2023/10/EN205_Kelsey_ngn_1200x590.png)
How does Spotify manage a sprawling tech ecosystem made up of 500+ squads managing over 10,000 software components in production? [...]
When we want to determine the causal effect of a product or business change at Spotify, A/B testing is the [...]
At Spotify, we run a lot of A/B tests. Most of these tests follow a standard design, where we assign [...]
As companies mature, it’s easy to believe that the core experience and most user needs have been resolved, and all [...]
TL;DR: Spotify is releasing a new commercial product for software development teams: a version of our homegrown experimentation platform that [...]
In Part 1 of this series, we introduced the within-unit peeking problem that we call the “peeking problem 2.0”. We [...]
