The metrics provided by value-added cloud services, such as Function-as-a-service, are a great starting point. Teams can put their cloud-native services into production with just these metrics with a reasonable level of confidence. However, more observability is almost always better. We need fine-grained details about the inner workings of our functions. This recipe demonstrates how to collect additional metrics, such as cold starts, memory, CPU utilization, and the latency of HTTP resources.
Implementing custom metrics
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