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This change adds two types of ML metrics to the meter registry, such that they can be collected by Elastic APM. 1. Per-node ML native memory statistics for ML nodes 2. Cluster-wide job/model statuses for master-eligible nodes The memory metrics relate solely to the ML node they are collected from. The job/model metrics are cluster-wide because a key problem we want to be able to detect is when there are jobs or models that are not assigned to any node. The consumer of the data needs to account for the fact that multiple master-eligible nodes are reporting the same information. The `is_master` attribute in the records indicates which one was actually master, so can be used to deduplicate.
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