How Spotify Uses YAML
8 engineering articles about YAML from Spotify's engineering team
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The article discusses Spotify's evolution in developer productivity through the use of background coding agents within their Fleet Management system.
Max Charas (Senior Staff Engineer) and Marc Bruggmann (Principal Engineer)
7 min read
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The article provides insights into the Certified Backstage Associate (CBA) exam, a new certification offered by The Linux Foundation that validates skills in building and managing Backstage, an ope...
André Wanlin
10 min read
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The article discusses Spotify's transition to the Bazel build system, detailing the motivations, migration process, and the impact on developer productivity.
This article discusses fleet-wide refactoring at Spotify, detailing the tools and strategies developed to manage code changes across thousands of Git repositories.
Matt Brown
25 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.
AnsibleApacheApache KafkaCassandraDockerElasticsearchGoogle CloudJSONKubernetesMemcachedPostgreSQLPuppetTerraformTypeScriptYAML
David Flemström
11 min read
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The article discusses Spotify's evolution in machine learning (ML) infrastructure, emphasizing the integration of Ray to enhance flexibility and scalability for diverse ML practitioners.
Divita Vohra
13 min read
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Spotify has streamlined its content delivery network (CDN) services using Fastly's edge cloud platform to enhance the streaming experience for over 230 million users.
Spotify Engineering
7 min read
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The article discusses Spotify's efforts to manage security across over 800 Google Cloud Platform projects by developing and open-sourcing two internal tools: GCP-Audit and GCP-Firewall-Enforcer.
Gianluca Brindisi
2 min read
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