Unicron, with Daniel Megyesi Kubernetes Podcast from Google

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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web: kubernetespodcast.com mail: kubernetespodcast@google.com twitter: @kubernetespod Chatter of the week Dolores Park The Garden at Buckingham Palace The fire at Windsor Castle Most currencies featuring the same individual News of the week Docker updates subscription plan Google commits $10 billion to advance cybersecurity Detail blog from previous guests Eric Brewer and Dan Lorenc Episode 155, with Priya Wadhwa ingress-nginx 1.0.0 NGINX Inc. commits to open source OpenTelemetry moves to Incubation phase IBM open sources Tornjak Tornjak dog SUSE Rancher 2.6 VMware announces Tanzu Application Platform Infoworld coverage Rafay Systems raises $25 million Grafana Labs raises $220 million Episode 122, with Torkel Ödegaard Links from the interview April Fools Proxy Adevinta, the world’s largest online classifieds group after acquiring eBay’s classifieds division Spark, Mesos, Chronos, AWS EMR Introducing Unicron, our big data and Machine Learning platform by Daniel Megyesi Not the logo Gardener GKE Autopilot Argo CD and Argo Workfloads Spark Operator and Luigi 1:8 scale model DeLorean 1:2 scale model Terminator Infrastructure Adventures, Daniel’s blog Daniel Megyesi on LinkedIn