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Unicron, with Daniel Megyesi

Unicron, with Daniel Megyesi

FromKubernetes Podcast from Google


Unicron, with Daniel Megyesi

FromKubernetes Podcast from Google

ratings:
Length:
49 minutes
Released:
Sep 2, 2021
Format:
Podcast episode

Description

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.
Do you have something cool to share? Some questions? Let us know:

web: kubernetespodcast.com
mail: kubernetespodcast@google.com
twitter: @kubernetespod

Chatter of the week

Dolores Park
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News of the week

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ingress-nginx 1.0.0

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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
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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
Released:
Sep 2, 2021
Format:
Podcast episode

Titles in the series (100)

A weekly podcast focused on what's happening in the Kubernetes community. We cover Kubernetes, cloud-native applications, and other developments in the ecosystem. Host Craig Box can be reached on Twitter at @KubernetesPod or by email at kubernetespodcast@google.com.