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2 weeks ago |
platformengineering.com | Mike Vizard
Spotify has made available a beta release of a software-as-a-service (SaaS) edition of the open source Backstage portal to provide self-service capabilities to internal developers. Announced at the Kubecon + CloudNativeCon Europe 2025 conference, the SaaS edition of the Backstage internal developer portal (IDP), dubbed Spotify Portal, will make it simpler for organizations to deploy, secure and manage the platform.
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1 month ago |
platformengineering.com | Sulagna Saha
Imagine an application that could take all rote tasks out of a job and leave only the bits that one loves doing. Such an application may not exist today, but the building blocks are here already. The Selector platform presented recently at the Cloud Field Day event in February does something close for enterprise administrators.
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1 month ago |
platformengineering.com | Mike Vizard
Cribl has unfurled a data lake specifically designed for storing and automatically normalizing telemetry data in a way that reduces total costs by streamlining workflows. Ed Bailey, principal technical evangelist for Cribl, said the Cribl Lake cloud service provides a unified platform for storing telemetry data that is typically collected by IT operations, DevOps and cybersecurity teams without the need for additional data engineering expertise.
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1 month ago |
platformengineering.com | Will Stewart
Congratulations—you’ve either built a platform or you’re deep into the process of creating one. But here’s the uncomfortable reality: Many engineering teams conflate “building the platform” with the ultimate goal. We get so wrapped up in the technical details—scripting everything in YAML, wrestling with container orchestration, navigating Kubernetes, setting up custom monitoring dashboards—that we lose sight of what really matters.
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1 month ago |
platformengineering.com | Nathan Eddy
Artificial intelligence (AI) is helping to revolutionize platform engineering by automating critical workflows such as continuous integration and continuous deployment (CI/CD), system observability and resource allocation. However, while AI offers significant efficiency gains, it also raises concerns about transparency, reliability and the role of human oversight.
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