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How to scale k8s operations from a single to thousands of clusters

How to scale k8s operations from a single to thousands of clusters

FromPurePerformance


How to scale k8s operations from a single to thousands of clusters

FromPurePerformance

ratings:
Length:
55 minutes
Released:
Nov 2, 2020
Format:
Podcast episode

Description

We are sitting down with Sebastian Scheele (@sscheele), CEO and co-founder of Kubermatic, to discuss the challenges organizations have as they are moving their workloads to k8s and realize that managing, scaling and operating k8s is not getting easier the more k8s clusters you allow your application teams to spin up or down. We learn more about the Kubermatic Kubernetes Platform, the Open Source Project, which centrally manages the global automation of thousands of Kubernetes clusters across multi-cloud, on-prem and edge with unparalleled density and resilience.Thanks Sebastian for answering all the questions we threw at you – questions we have received from many organizations that are moving to k8s but get surprised about the complexity as it comes to properly operating and managing k8s.Sebastian Scheele Twitterhttps://twitter.com/sscheeleKubermatic Kubernetes Platformhttps://github.com/kubermatic/kubermatic
Released:
Nov 2, 2020
Format:
Podcast episode

Titles in the series (100)

The brutal truth about digital performance engineering and operations.Andreas (aka Andi) Grabner and Brian Wilson are veterans of the digital performance world. Combined they have seen too many applications not scaling and performing up to expectations. With more rapid deployment models made possible through continuous delivery and a mentality shift sparked by DevOps they feel it’s time to share their stories. In each episode, they and their guests discuss different topics concerning performance, ranging from common performance problems for specific technology platforms to best practices in development, testing, deploying and monitoring software performance and user experience. Be prepared to learn a lot about metrics.Andi & Brian both work at Dynatrace, where they get to witness more real world customer performance issues than they can TPS report at.