I have an existing plain-Java (non-Spark) application that needs to run in a fault-tolerant way, i.e. if the node crashes then the application is restarted on another node, and if the application crashes because of internal fault, the application is restarted too.
Normally I would run it in a Kubernetes, but in this specific case Kubernetes is unavailable because of organizational/bureaucratic issues, and the only execution platform available in the domain is Spark. Is it possible to wrap the application into a Spark-based launcher that will take care of executing the application and restarts? Execution must be in a separate JVM, apart from other apps. And for optimum performance, the application also needs to be assigned guaranteed resources, i.e. the number of cores and amount of RAM required for it, so it would be great if the launcher could take care of this too. Thanks for advice.
