Cluster Schedulers

This post aims to understand:

1. the purpose of schedulers the way they were originally envisaged and developed at Google

2. how well (or not) they translate to solve the problems of the rest of us

3. why they come in handy even when not running “at scale”

4. the challenges of retrofitting schedulers into existing infrastructures

5. running hybrid deployment artifacts with schedulers

6. why where I work we chose Nomad over Kubernetes

7. the problems yet to be solved

8. the new problems these new tools introduce

9. what the future holds for us

This is an embarrassingly long post and Medium doesn’t allow me to create links to subsections, so searching for titles that interest you is probably your best bet to get through this.

Read more at Medium


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