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How Spotify Uses PostgreSQL

11 engineering articles about PostgreSQL from Spotify's engineering team

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The article discusses Spotify's multi-agent architecture designed to enhance advertising workflows by addressing structural issues within their ad business.
Pratik Rasam and Ralph Sylvain
10 min read
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Spotify has introduced Voyager, a new nearest-neighbor search library that significantly improves upon its predecessor, Annoy, by offering increased speed and accuracy.
Peter Sobot
4 min read
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This article discusses Spotify's transition to a declarative infrastructure model using Kubernetes, enabling efficient management of cloud resources across numerous services.
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XCMetrics is an open-source tool designed for tracking Xcode build metrics, enabling iOS engineers to collect and analyze data from build logs.
Patrick Balestra
7 min read
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The article discusses the Bigtable Autoscaler developed by Spotify to automate cluster rightsizing in Google Cloud's Bigtable, aiming to save costs and reduce operational load.
Emilio Del Tessandoro
5 min read
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The article discusses the importance of testing in microservices, emphasizing the need for automated tests to enhance speed and confidence in code functionality.
André Schaffer
7 min read
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This article discusses Spotify's transition to Google Cloud and the development of Scio, a Scala API for Apache Beam, which facilitates big data processing.
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The article discusses Spotify's evolution in managing its machine infrastructure, detailing the transition from manual operations to automated systems that enhance efficiency and engineer satisfact...
Nic Cope
11 min read
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The article discusses Spotify's transition from a PostgreSQL database to a Cassandra database for user data management.
Marcus Vesterlund
10 min read
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The article discusses Spotify's evolving backend infrastructure, emphasizing the importance of autonomous squads, a transparent code model, and self-service infrastructure to support rapid growth a...
Spotify Engineering
9 min read
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The article discusses Spotify's reliance on mature technologies for its backend architecture, emphasizing the benefits of using proven tools like PostgreSQL and DNS for service discovery.
Björn Edström
10 min read
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