Progress for big data in Kubernetes
O'Reilly on Data
SEPTEMBER 11, 2018
One was to build a lot of state-handling services that each consisted of a few containers, each housing a fair bit of data. They don’t move easily, but because each service contains just a few containers, statistical variations in load create havoc for neighboring containers creating a need to move them. The implications for big data.
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