Kubernetes Podcast from Google
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Adevinta is an online classified ads company, operating many local brands. Daniel Megyesi is a DevOps engineer at Adevinta and maintainer of their central big data and Machine Learning platform, Unicron. Learn why they wanted to replace Mesos, how they aligned their engineering efforts to do so, and the choices that had to be made to provide an easy experience for their data engineers.
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Liqo, with Alex Palesandro
Service Level Objectives and Nobl9, with Brian Singer and Kit Merker
Kubernetes 1.21, with Nabarun Pal
Weaveworks (part 2), with Alexis Richardson
Weaveworks (part 1), with Alexis Richardson
Replicated, with Grant Miller
Tinkerbell, with Gianluca Arbezzano
Crossplane, with Daniel Mangum
Security and Snyk, with Kamil Potrec
GKE Autopilot, with Yochay Kiriaty
Multi-Cluster Services, with Jeremy Olmsted-Thompson
Datadog and the Container Report, with Michael Gerstenhaber
Backstage, with Lee Mills and Matt Clarke
Siri, Storage and Solutions, with Josh Bernstein
CNCF and the Linux Foundation, with Chris Aniszcyzk
Cilium, with Thomas Graf
Akri, with Kate Goldenring
Kubernetes 1.20, with Jeremy Rickard
KubeCon NA 2020, with Stephen Augustus
Linkerd, with Thomas Rampelberg
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