Available in Syntasa environments installed in GCP, the Kubernetes Stream Container runtime type is a streaming runtime that should only be used for streaming jobs, i.e. continuously running jobs unless manually stopped, as opposed to non-streaming runtimes that are used for batch jobs and notebooks that will be shut down once the job completes or inactivity or max timeout is reached.
The basic runtime attributes required for all runtime types are detailed in Creating Runtime Templates. Being a container runtime type, an Image Type needs to be selected, but there for this runtime type, there is only one option, Syntasa Spark Image.
GCP machine type and options
Selecting the Syntasa Spark Image enables several fields related to the GCP machine type required for the runtime. The various machine families and machine types can be reviewed in Google's Support Machine Types article.
There are also Spark configurations available. Key settings related to the number of cores and memory are defaulted but can be adjusted as needed. Other values available for configuration are detailed in the Apache Spark documentation on Spark Configuration and Running Spark on YARN.