What can an AI agent do with AWS CloudWatch?

A CloudWatch AI agent can list and interpret alarm states, query logs with Logs Insights, retrieve metric statistics across your AWS services, inspect dashboard configurations, create new alarms, and publish custom metrics. It can run on a schedule to proactively surface anomalies, or on demand when you need a fast infrastructure diagnosis. Write actions like creating alarms require your approval.

Which AWS services does the CloudWatch integration cover?

The integration works with any service that publishes to CloudWatch - EC2, Lambda, RDS, ECS, API Gateway, and more. Alarms, metrics, and logs from all these services are accessible through the same set of CloudWatch APIs.

Can my AI agent page me when an alarm fires?

Yes. Combine a scheduled CloudWatch run with a Slack or PagerDuty integration: the agent checks alarm states on a cadence and posts a notification or creates an incident if anything is in ALARM state.

Are write actions like creating alarms safe?

All write actions - creating alarms and publishing custom metric data - require your explicit approval before execution. Read-only operations like listing alarms, querying logs, and fetching metrics are shown to you before they run.

Developer tools

AWS CloudWatch, run by an agent.

An AI agent that monitors, alerts, and diagnoses your AWS infrastructure.

Connect AWS CloudWatch Book a demo

What needs your approval

AWS CloudWatch never changes anything without you.

Anything that creates, edits or deletes in AWS CloudWatch waits for your approval. Approve a recurring task once and it runs unattended after that.

Connecting AWS CloudWatch

About 5 minutes

Auth: API key
Setup: About 5 minutes

Where to get access

Create an IAM user with CloudWatchLogsReadOnlyAccess policy. Generate an access key and paste as JSON: {"access_key_id": "AKIA...", "secret_access_key": "...", "region": "us-east-1"}

docs.aws.amazon.com

Example tasks

Real work people hand to an agent that uses AWS CloudWatch.

check alarm states every 15 minutes and post a health summary to a Slack channel
query application error logs after a deployment and surface any new exceptions
detect sustained high CPU on EC2 instances and open a GitHub issue for investigation
generate a weekly infrastructure performance report from key metrics across services