Query your metrics with CloudWatch Metrics Insights - Amazon CloudWatch

Query your metrics with CloudWatch Metrics Insights

CloudWatch Metrics Insights is a powerful high-performance SQL query engine that you can use to query your metrics at scale. You can identify trends and patterns within all of your CloudWatch metrics in real time.

You can also set alarms on any Metrics Insights queries that return a single time series. This can be especially useful to create alarms that watch aggregated metrics across a fleet of your infrastructure or applications. Create the alarm once, and it dynamically adjusts as resources are added to or removed from the fleet.

You can perform a CloudWatch Metrics Insights query in the console with the CloudWatch Metrics Insights query editor. You can also perform a CloudWatch Metrics Insights query with the AWS CLI or an AWS SDK by running GetMetricData or PutDashboard. There's no charge for queries that you run with the CloudWatch Metrics Insights query editor. For more information about CloudWatch pricing, see Amazon CloudWatch Pricing.

With the CloudWatch Metrics Insights query editor, you can choose from a variety of prebuilt sample queries and also create your own queries. As you create your queries, you can use a builder view to browse your existing metrics and dimensions. Alternatively, use an editor view to manually write queries.

You can also use natural language to create CloudWatch Metrics Insights queries. To do so, ask questions about or describe the data you're looking for. This AI-assisted capability generates a query based on your prompt and provides a line-by-line explanation of how the query works. For more information, see Use natural language to generate and update CloudWatch Metrics Insights queries.

With Metrics Insights, you can run queries at scale. With the GROUP BY clause, you can group your metrics in real time into separate time series per specific dimension value. Because Metrics Insights queries include an ORDER BY ability, you can use Metrics Insights to make "Top N" type queries. For example, "Top N" type queries can scan millions of metrics in your account and return the 10 instances that consume the most CPU. This can help you pinpoint and remedy latency issues in your applications.

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