BigData / Apache StreamPark Interview questions
When should you use StreamPark's Remote (Standalone) deployment mode?
Remote mode is the right choice when the Flink cluster a job should run on already exists and is managed outside of StreamPark — StreamPark submits into it rather than provisioning it.
This fits organizations that run a Flink Standalone cluster maintained by a separate infrastructure team, or that have compliance or operational reasons to keep cluster lifecycle management outside the job-submission tool. It also suits smaller setups that haven't adopted YARN or Kubernetes and just run Flink directly on a fixed set of machines.
The trade-off is that StreamPark doesn't control the cluster's resources or scaling in this mode — it's purely a submission and monitoring target, so capacity planning for the Standalone cluster remains a separate, manual concern.
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