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Table of Contents

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  1. Preface
  2. Advanced clusters
  3. Setting up AWS
  4. Setting up Google Cloud
  5. Setting up Microsoft Azure
  6. Setting up a self-service cluster
  7. Setting up a local cluster
  8. Advanced configurations
  9. Troubleshooting
  10. Appendix A: Command reference

Advanced Clusters

Advanced Clusters

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Fully-managed clusters

Fully-managed clusters

A fully-managed cluster provides a serverless infrastructure that intelligently scales based on your workload and offers the lowest total cost of ownership for your organization.
The Secure Agent manages the entire Kubernetes lifecycle, including cluster startup, shutdown, auto-scaling, and upgrade. The agent manages the compute infrastructure and can create the
advanced cluster
 using Spot Instances to further reduce costs for your organization.
A fully-managed cluster includes the following capabilities:
  • 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
    advanced configuration
    .
  • 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.
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