Metrics

CloudWatch metrics let you track your system’s performance and spot issues. AWS services send standard metrics to CloudWatch, but you can also create custom metrics for your own needs. Metrics can be filtered, grouped by dimensions, and analyzed with statistical functions or math expressions. You can add custom metrics using Powertools or metric filters, and tools like Contributor Insights help find top users or sources. Enhanced monitoring options like Lambda Insights and Container Insights provide deeper data, but are more advanced features.

Transcript

CloudWatch metrics is another key component to first understand your systems performance, but also to observe your applications and to observe and react to problems and issues that occur. So let's jump into that. First, we will start with an introduction.

So what our metrics exactly? So CloudWatch metrics is the service that features all metrics that you have in AWS. One metric per se is a data point in a specific time. So we call this a time series.... Purchase the full course to access the complete transcript.

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Major Learnings

•CloudWatch collects standard metrics from AWS services and supports custom metrics for your own data.
•Metrics use namespaces, names, dimensions, and can be analyzed with statistics and math expressions.
•Custom metrics can be sent via the API, embedded metric format (EMF), or metric filters from logs.
•Contributor Insights, Lambda Insights, and Container Insights give extra analysis for high-cardinality or detailed data.

Next Steps

1.Review the standard metrics available for your AWS resources in CloudWatch.
2.Try adding a custom metric using Powertools or the embedded metric format.
3.Set up a metric filter to turn a log pattern into a metric.
4.Explore Contributor Insights to identify top users or sources in your application.