The entire consulting approach is framed as designing a learning journey with clear educational objectives for tech teams.
Agile methodologies work well for feature development within a known stack but fail when introducing new tools due to research pressure and the difficulty of finding correct patterns.
Abstract training is ineffective due to the forgetting curve and the tacit nature of tech skills, while consultants often remove ownership from internal teams.
A case study shows how to succeed with Kubernetes by avoiding complex abstractions like Terraform and Helm and instead using basic CLI tools.
A clear model where a platform team provides core services like Kubernetes and databases, while developers own the application lifecycle and CI/CD within that platform.
Google Cloud is presented as a more modern and easier-to-learn platform with better defaults, reducing the need for a dedicated platform team compared to the complexity of AWS.
The proposed solution is a hands-on, on-the-job learning model where a company's own staff implements new technologies with expert guidance, ensuring knowledge retention and ownership.
Discussion covers essential skills for developers like Kubernetes and Golang, a case study on retooling a legacy team, and predictions for technologies that will succeed Kubernetes.
58:40Christian Strack
39:20Dan Erez
40:00Rob Richardson
57:45Robert Hoffmann & Christian Denich
34:39Robert Hoffmann
44:42Michael Cade
49:47Piet van Dongen
50:51Alex Soto
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Jobs that call for the skills explored in this talk.
iits-consulting GmbH
München, Germany
smartclip Europe GmbH
Hamburg, Germany
SYSKRON GmbH
Regensburg, Germany
IKEA
Amsterdam, Netherlands
Saby New Compy
Bielefeld, Germany
CONTIAMO GMBH
Berlin, Germany
