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AWS CloudWatch Namespaces - A Comprehensive Guide

A key component of Amazon Web Services (AWS) is CloudWatch, and particularly, CloudWatch Namespaces

What are CloudWatch Namespaces?
AWS CloudWatch is a monitoring service for resources and applications that run on AWS. CloudWatch Namespaces are categories used to isolate different metric types. It is a container for metrics produced by a particular service or application.

Why are CloudWatch Namespaces Important?
They are important because they help to organize metrics from different AWS resources. The namespace separates metrics that are from different applications/services. These can be system-defined (AWS/EC2) or custom-defined by the user.

How Do CloudWatch Namespaces Work?
Metrics are grouped first by namespace, then by the various dimension combinations within each namespace. View each application's metrics apart from others and get insights into that particular application's behavior by using Namespaces

Exam Tips: Answering Questions on CloudWatch Namespaces
1. Understand the CloudWatch namespace structure. Recall that namespaces contain metrics, and metrics have dimensions to filter characteristics of the data. So, when asked about the structure or elements of Cloudwatch, remember this hierarchy.
2. When asked about examples of namespaces, remember namespaces could be AWS-provided or custom. AWS service namespaces usually start with 'AWS/' such as 'AWS/EC2', while custom namespaces are defined by the user.
3. When asked about the function of namespaces, remember that namespaces help to isolate and categorize metric data, making it easier to monitor and troubleshoot.

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CloudWatch Namespaces practice test

Namespaces in CloudWatch are used as containers for metrics. They help to organize metrics according to the source or purpose, making it easier to manage and search for specific metrics when needed. For example, different AWS services report their metrics under specific namespaces, such as 'AWS/EC2' for Amazon EC2 instances and 'AWS/S3' for Amazon S3. Namespaces allow the separation of data and make it simpler to manage your monitoring setup. Additionally, custom namespaces can be created to store custom metrics, thereby separating them from the default AWS metrics. It is a best practice to create separate namespaces for custom metrics that correspond to different applications or categories within your infrastructure.

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AWS Certified Solutions Architect - Associate Preparation Package (2024)

  • 2685 Superior-grade AWS Certified Solutions Architect - Associate practice questions.
  • Accelerated Mastery: Deep dive into critical topics to fast-track your mastery.
  • Unlock Effortless AWS Certified Solutions Architect preparation: 5 full exams.
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  • bonus: If you upgrade now you get upgraded access to all courses