Get Started
What This Tool Does
Real examples of how the connector helps your AI agent take action; like sending messages, updating records, or syncing data across tools.
Real-Time Lookup
Access metrics, logs, or alerts from AWS services instantly.
Example
"Show me the current CPU usage for EC2 instance i-123456."
Memory Recall
Retrieve historical logs or metric patterns.
Example
"Summarize error logs from Lambda functions over the last 24 hours."
Instant Reaction
Trigger alerts on error thresholds or log spikes.
Example
"Notify DevOps if error count exceeds 100 in any log group."
Autonomous Routine
Monitor key metrics on a schedule.
Example
"Check and log average API latency every 15 minutes."
Agent-Initiated Action
Restart services or run diagnostic scripts on alert.
Example
"Trigger a memory dump script if EC2 RAM crosses 90% usage."
Connect with Apps
See which platforms this connector is commonly used with to power cross-tool automation.
Slack
Real-time alerts and notifications
PagerDuty
Incident management and escalation
AWS Lambda
Automated remediation workflows
Try It with Your Agent
Check the CPU utilization metrics for all EC2 instances in the last hour and alert me if any instance exceeds 80% usage.
How to Set It Up
Quick guide to connect, authorize, and start using the tool in your Fastn UCL workspace.
1
Connect AWS Cloudwatch in Fastn UCL: Navigate to the Connectors section and select AWS Cloudwatch to connect.
2
Authenticate using AWS IAM credentials with permissions for Cloudwatch metrics and logs.
3
Enable “Get Metrics” and “Set Alert Threshold” actions to monitor EC2 performance indicators.
4
Use the AI Agent: Try prompts like “Check EC2 CPU usage for the last hour and notify if any exceed 80%.”
Why Use This Tool
Understand what this connector unlocks: speed, automation, data access, or real-time actions.
