What is the granularity of serverless metrics when only using the AWS integration?

Prepare for the Datadog Onboarding Exam with our comprehensive quiz. Master key concepts with curated flashcards and multiple-choice questions, each with hints and explanations. Ace your Datadog certification confidently!

The granularity of serverless metrics when using the AWS integration is set to 1 minute. This means that the data points are collected and reported in intervals of 1 minute, providing a balance between data resolution and performance.

Using a 1-minute granularity allows for an adequate level of detail to monitor serverless applications efficiently, such as AWS Lambda functions, without overwhelming the monitoring system. It offers a good compromise for analyzing trends and ensuring that performance metrics can inform decisions effectively, without generating excessive data that may hinder real-time analysis or visualization.

The design of serverless architectures often involves transient workloads that can lead to a fluctuating usage pattern. Therefore, having metrics reported at a 1-minute interval is useful for understanding usage patterns while providing sufficient temporal resolution for operational insights. Higher granularity metrics, like 1 second, can generate a significant amount of data, which might not be practical given the bursty nature of serverless functions. Lower granularity options would not capture enough detail for timely insights.

Subscribe

Get the latest from Examzify

You can unsubscribe at any time. Read our privacy policy