Advanced Clusters

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CLAIRE-powered configurations

Use a CLAIRE-powered configuration to set cost boundaries for an

advanced cluster

. CLAIRE, Informatica's AI engine, uses machine learning to configure the cluster to stay within the cost boundaries and to make recommendations to improve cluster performance and reduce infrastructure costs.

You can use a CLAIRE-powered configuration to create an

advanced cluster

in an AWS environment if CLAIRE recommendations are enabled in your organization.

When you use a CLAIRE-powered configuration, you can optimize the cluster for cost or for performance. Then, you specify the target average cost per hour and maximum cost per hour, and CLAIRE configures the cluster to stay within the cost boundaries.

The following table lists the key differences between a cluster that is optimized for cost and a cluster that is optimized for performance:

Key area	Optimized for cost	Optimized for performance
Infrastructure costs	Infrastructure costs are less likely to exceed the average cost per hour.	Infrastructure costs are more likely to exceed the average cost per hour, especially for large workloads.
Job priority	High-priority jobs might take longer to be scheduled.	High-priority jobs are more likely to run sooner.
Target duration	Jobs are less likely to meet their target durations.	Jobs are more likely to meet their target durations.