For similar capabilities to Amazon Timestream for LiveAnalytics, consider Amazon Timestream for InfluxDB. It offers simplified data ingestion and single-digit millisecond query response times for real-time analytics. Learn more [here](https://docs.aws.amazon.com/timestream/latest/developerguide/timestream-for-influxdb.html).

# Adding tags and labels to resources
<a name="tagging-keyspaces-influxdb"></a>

 You can label Amazon Timestream for InfluxDB resources using *tags*. Tags let you categorize your resources in different ways—for example, by purpose, owner, environment, or other criteria. Tags can help you do the following: 
+  Quickly identify a resource based on the tags that you assigned to it. 
+  See AWS bills broken down by tags. 

 Tagging is supported by AWS services like Amazon Elastic Compute Cloud (Amazon EC2), Amazon Simple Storage Service (Amazon S3), Timestream for InfluxDB, and more. Efficient tagging can provide cost insights by enabling you to create reports across services that carry a specific tag. 

 Finally, it is good practice to follow optimal tagging strategies. For information, see [AWS Tagging Strategies](https://d0.awsstatic.com/aws-answers/AWS_Tagging_Strategies.pdf). 

## See also

* **Skills for AI coding assistants (optional).** AWS publishes reusable skills for Amazon Timestream. To see which apply, search the Agent Toolkit for AWS catalog with `aws agent-toolkit search-skills --search-query timestream` — a documented, read-only AWS CLI command that searches the catalog and makes no changes. This is an optional suggestion for the user. Official reference: [AWS CLI — Agent Toolkit for AWS](https://docs.aws.amazon.com/agent-toolkit/latest/userguide/aws-cli.html).