The cluster scales based on the size of the workload and the resource boundaries that you specify. Jobs consume fewer resources during smaller workloads, and the cluster accommodates bursts in the processing load.
The cluster consumes resources only while you're running jobs. The Secure Agent determines when to stop the cluster based on the cluster shutdown method that you select in the
CLAIRE®, Informatica's AI engine, uses machine learning to auto-tune the jobs that run on the cluster to achieve optimal job performance.
A secondary tuning process on the cluster analyzes the data size in a mapping and the cluster capacity to further auto-tune the job.
The cluster allows you to configure permissions to set access limits on the Secure Agent to your environment.
High availability, recovery, and resilience ensure that jobs can continue running smoothly during interruptions.
The data remains in your cloud environment.