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From monolith to global mesh: How Uber standardized ML at scale

Introduction: the scaling wall In 2015, Uber’s growth was outpacing its infrastructure. As the company evolved from a luxury car The post From m…

AI InfrastructureKubeCon Cloudnativecon EU 2026KubernetesPlatform Engineeringsponsor-cncfsponsored-post-contributed
The New Stack Mar 17, 2026, 11:00 UTC
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QCon London 2026: How To Run on Three Clouds at Once, and When Not To

Form3 runs UK bank payments across three clouds simultaneously. At QCon London, their engineers explained how they built their custom Kubernetes opera…

Google Cloud PlatformBankingCloudDatabaseKubernetesAzureQCon London 2026AWSDNSDevOpsDevelopmentArchitecture & Designnews
InfoQ Mar 16, 2026, 18:12 UTC
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Why AI workloads are breaking traditional Kubernetes observability strategies

For most platform engineering and ITOps teams, the ability to orchestrate containerized workloads at scale has transformed development organizations. …

AI OperationsKubernetesObservability
The New Stack Mar 16, 2026, 14:04 UTC

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