How should the developer update the logging configuration in order to enable this package specific
debugging?
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 new upstream API Is being designed to offer an SLA of 500 ms median and 800 ms maximum (99th
percentile) response time. The corresponding API implementation needs to sequentially invoke 3 downstream
APIs of very similar complexity. The first of these downstream APIs offers the following SLA for its response
time: median: 100 ms, 80th percentile: 500 ms, 95th percentile: 1000 ms. If possible, how can a timeout be set
in the upstream API for the invocation of the first downstream API to meet the new upstream API's desired
SLA?
An organization currently uses a multi-node Mule runtime deployment model within their datacenter, so each
Mule runtime hosts several Mule applications. The organization is planning to transition to a deployment
model based on Docker containers in a Kubernetes cluster. The organization has already created a standard
Docker image containing a Mule runtime and all required dependencies (including a JVM), but excluding the
Mule application itself.
What is an expected outcome of this transition to container-based Mule application deployments?
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