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Additional nodes are being added to an existing customer-hosted Mule runtime cluster to improve performance. Mule applications deployed to this cluster are invoked by API clients through a load balancer. What is also required to carry out this change?

A manufacturing company plans to deploy Mule applications to its own Azure Kubernetes service infrastructure.The organization wants to make the Mule applications more available and robust by deploying each Mule application to an isolated Mule runtime in a Docker container while managing all the Mule applications from the MuleSoft-hosted control plane. What choice of runtime plane meets these organizational requirements?

A manufacturing company is planning to deploy Mule applications to its own Azure Kubernetes Service infrastructure. The organization wants to make the Mule applications more available and robust by deploying each Mule application to an isolated Mule runtime in a Docker container while managing all the Mule applications from the MuleSoft-hosted control plane. What is the most idiomatic (used for its intended purpose) choice of runtime plane to meet these organizational requirements?

A leading e-commerce giant will use Mulesoft API's on runtime fabric (RTF) to process customer orders. Some customer's sensitive information such as credit card information is also there as a part of a API payload. What approach minimizes the risk of matching sensitive data to the original and can convert back to the original value whenever and wherever required?