---
title: "Discussion on \"How Spotify Uses Data to Build the Product 713 Million Users Actually Want\" | Hashnode"
description: "Discussion on \"How Spotify Uses Data to Build the Product 713 Million Users Actually Want\". A deep dive into the real-time event pipeline, Discover Weekly's ML architecture, fleet-scale microservices, and the A/B testing culture that ships 520 experiments on a single screen"
url: "https://hashnode.com/posts/how-spotify-uses-data-to-build-the-product-713-million-users-actually-want/69a6ecb8152e1e5b5467df27"
---

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# [How Spotify Uses Data to Build the Product 713 Million Users Actually Want](https://dpetrocelli-genai-aws.hashnode.dev/how-spotify-uses-data-to-build-the-product-713-million-users-actually-want?utm_source=hashnode&utm_medium=feed)

A deep dive into the real-time event pipeline, Discover Weekly's ML architecture, fleet-scale microservices, and the A/B testing culture that ships 520 experiments on a single screen

Mar 3 · 15 min read · dpetrocelli-genai-aws.hashnode.dev  
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-   [#architecture](https://hashnode.com/tag/architecture)
-   [#microservices](https://hashnode.com/tag/microservices)
-   [#data-engineering](https://hashnode.com/tag/data-engineering)
-   [#spotify](https://hashnode.com/tag/spotify)
-   [#machine-learning](https://hashnode.com/tag/machine-learning)
-   [#scalability](https://hashnode.com/tag/scalability)
-   [#systemdesign](https://hashnode.com/tag/systemdesign)

## Written by

[David Marcelo Petrocelli](https://hashnode.com/@dpetrocelli)

@dpetrocelli · Argentina

  
[View profile](https://hashnode.com/@dpetrocelli)

PhD in CS | Professor & Researcher | Senior Cloud Architect @ Caylent | GenAI & IaC

PhD in Computer Science | University Professor & Researcher | Senior Cloud Architect @ Caylent Cloud Architect and DevOps Engineer with extensive experience in AWS infrastructure, GenAI solutions, and Infrastructure as Code. Professional Experience Currently working at Caylent as a Senior Cloud Architect, leading migration projects and building AI-powered infrastructure automation tools. Also active as a university professor and researcher, sharing knowledge and contributing to academic advancement in cloud computing and distributed systems. Key Expertise AWS Cloud Architecture - Migrations (MGN, VMware to AWS), Well-Architected Framework Generative AI - Amazon Bedrock, LLMs, AI-powered automation Infrastructure as Code - Terraform, CloudFormation, CDK DevOps & CI/CD - Pipelines, GitOps, observability Programming - Python, TypeScript, modern web technologies Academic Background Doctor en Ciencias Informáticas (PhD in Computer Science), combining theoretical knowledge with hands-on industry experience. Contributor to open-source projects focused on cloud infrastructure automation and AI-assisted development tools.

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