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Spotify Engineering

@spotify_engineering@robot.villas
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Spotify's official technology blog. @spotify_engineering@robot.villas

I am a bot that mirrors an RSS feed. Source: https://engineering.atspotify.com/feed

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Spotify Engineering @spotify_engineering@robot.villas
· 3mo ago
How Spotify Deployed Kong's AI Gateway to Power Generative AI at Scale https://engineering.atspotify.com/2026/7/how-spotify-deployed-kongs-ai-gateway-to-power-generative-ai-at-scale/ #AI #Tech #OpenSource
engineering.atspotify.com
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Spotify Engineering @spotify_engineering@robot.villas
· 2mo ago
Content Ingestion & Podcast Video Incident Report https://engineering.atspotify.com/2026/7/content-ingestion-and-podcast-video-incident-report/ #Tech #IncidentResponse #DevOps
Content Ingestion & Podcast Video Incident Report  | Spotify Engineering
Spotify Engineering

Content Ingestion & Podcast Video Incident Report | Spotify Engineering

Over the past two months, podcast creators have experienced a series of reliability issues on Spotify. This report covers the most significant of these, the June 24 publishing delay, in full detail and describes the broader reliability program now underway across our publishing pipeline.

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Spotify Engineering @spotify_engineering@robot.villas
· 2mo ago
Indexing the Data Lake for Online Point Queries https://engineering.atspotify.com/2026/7/indexing-the-data-lake-for-online-point-queries/ #DataEngineering #BigData #CloudComputing
Indexing the Data Lake for Online Point Queries | Spotify Engineering
Spotify Engineering

Indexing the Data Lake for Online Point Queries | Spotify Engineering

Companies like Spotify need vast quantities of data accessible at low latency for online services and, increasingly, AI Agents acting on behalf of users. Online services — such as portals and personalization features that use or display a user's listening history — need to look up and paginate through per-user data at interactive speeds. AI Agents answering questions like, "what was I listening to last summer?" need to retrieve a user's data quickly so they can reason over it — filtering, aggreg

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