AI-powered CloudWatch monitoring that investigates alarms for you, providing real-time root cause analysis with actionable AWS CLI commands—delivered to Slack in seconds.
module "cloudwatch_ai_alerts" {
source = "git@github.com:AIOpsCrew/cloudwatchagent.git//terraform/modules/cloudwatch-slack-alert?ref=v2.0.0"
function_name = "cloudwatch-ai-agent"
slack_webhook_url = var.slack_webhook_url
environment = "production"
}CloudWatch alarms tell you what's wrong, but not why or how to fix it
Engineers waste hours investigating alarms, checking metrics, reading logs, and debugging issues
Alarms provide no context—just a threshold breach with no actionable insights
Every alarm requires manual AWS CLI commands, log searches, and metric queries
Downtime and slow response times cost thousands in lost revenue and engineer time
Let AI do the heavy lifting while you focus on fixing issues
Amazon Bedrock Nova Lite analyzes alarms in context, providing intelligent root cause analysis based on real AWS data
Autonomous agent queries CloudWatch metrics, EC2/RDS/Lambda configs, logs, and alarm history—all automatically
Get actual metric values, resource configurations, and log patterns—not generic suggestions
Beautiful Block Kit messages with alarm details, AI analysis, and ready-to-run AWS CLI commands
All tools are read-only with least-privilege IAM permissions. No modifications to your infrastructure
~$0.001 per alarm investigation. Save thousands in engineer time and faster incident resolution
Fully automated investigation pipeline
Your alarm breaches threshold and sends notification to SNS topic
Agent queries CloudWatch metrics, resource configs, logs, and alarm history using 6 AWS tools
Bedrock Nova Lite analyzes data and generates intelligent troubleshooting recommendations
Rich alert with real data, root cause, and actionable AWS CLI commands delivered to your team
6 read-only tools that collect real-time AWS data
Fetches recent CloudWatch metric data points with averages to identify trends and patterns
Retrieves EC2 instance state, type, IPs, tags, VPC, and security group configurations
Gets RDS database status, engine version, storage, Multi-AZ setup, and endpoint details
Checks Lambda runtime, memory allocation, timeout, VPC config, and recent modifications
Searches CloudWatch Logs for error patterns and relevant events within time range
Retrieves recent alarm state changes to identify patterns and recurring issues
Choose the plan that fits your needs
Professional implementation & support
Tailored for your organization
AWS Costs: You pay AWS directly for Lambda, Bedrock, and CloudWatch usage. Typical cost: ~$0.001 per alarm investigation.
Two simple steps to autonomous CloudWatch monitoring
module "cloudwatch_ai_alerts" {
source = "git@github.com:AIOpsCrew/cloudwatchagent.git//terraform/modules/cloudwatch-slack-alert?ref=v2.0.0"
function_name = "cloudwatch-ai-agent"
slack_webhook_url = var.slack_webhook_url
environment = "production"
}terraform init
terraform apply
# Point your alarms to the SNS topic
aws cloudwatch put-metric-alarm \
--alarm-actions $(terraform output -raw sns_topic_arn)Get up and running in minutes with our step-by-step guide
Complete API reference with all configuration options
Deep dive into the 6 AWS investigation tools
Understand how everything works under the hood
Version history and upgrade guides
Ask questions and share feedback
Join teams who are already saving hours on incident response
Have questions? We're here to help.
sales@aiopscrew.com
We respond within 24 hours