Stop Guessing.
Start Knowing.

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.

Start Monitoring - $5/mo How It Works
Read-Only
AWS Access
Real-Time
AI Analysis
$0.001
Per Alarm
terraform/main.tf 
module "cloudwatch_ai_alerts" {
  source = "https://api.aiopscrew.com/v1/module.tar.gz"

  license_key       = "cwa_live_xxxxxxxxxxxxx"
  slack_webhook_url = var.slack_webhook_url
  function_name     = "cloudwatch-ai-agent"
  environment       = "production"
}

The Problem with Traditional Monitoring

CloudWatch alarms tell you what's wrong, but not why or how to fix it

⏱️

Slow Response Times

Engineers waste hours investigating alarms, checking metrics, reading logs, and debugging issues

🤔

Generic Alerts

Alarms provide no context—just a threshold breach with no actionable insights

📚

Manual Investigation

Every alarm requires manual AWS CLI commands, log searches, and metric queries

💸

High Costs

Downtime and slow response times cost thousands in lost revenue and engineer time

CloudWatch AI Agent

Autonomous AWS Investigation

Let AI do the heavy lifting while you focus on fixing issues

🤖

AI-Powered Analysis

Advanced AI analyzes alarms in context, providing intelligent root cause analysis based on real AWS data

🔍

Direct AWS Integration

Autonomous agent queries CloudWatch metrics, EC2/RDS/Lambda configs, logs, and alarm history with read-only access—all automatically

⚡

Real-Time Data Collection

Get actual metric values, resource configurations, and log patterns—not generic suggestions

💬

Rich Slack Integration

Beautiful Block Kit messages with alarm details, AI analysis, and ready-to-run AWS CLI commands

🔒

Read-Only & Secure

All tools are read-only with least-privilege IAM permissions. No modifications to your infrastructure

📊

Cost Effective

~$0.001 per alarm investigation. Save thousands in engineer time and faster incident resolution

How It Works

From Alarm to Action in Seconds

Fully automated investigation pipeline

1

CloudWatch Alarm Triggers

Your alarm breaches threshold and sends notification to SNS topic

→
2

AI Agent Investigates

Agent queries CloudWatch metrics, resource configs, logs, and alarm history with direct read-only AWS integration

→
3

Root Cause Analysis

AI analyzes collected data and generates intelligent troubleshooting recommendations

→
4

Slack Notification

Rich alert with real data, root cause, and actionable AWS CLI commands delivered to your team

Pricing

Simple, Transparent Pricing

Choose the plan that fits your needs

Most Popular

CloudWatch AI Agent

$ 5 /month

Professional implementation & support

  • ✅ API key-based module access
  • ✅ Direct AWS integration (read-only)
  • ✅ AI-powered alarm analysis
  • ✅ Slack integration
  • ✅ Implementation support
  • ✅ Priority bug fixes
  • ✅ Email support

Get instant API key access after purchase

AWS Costs: You pay AWS directly for Lambda, AI processing, and CloudWatch usage. Typical cost: ~$0.001 per alarm investigation.

Free Modules: Our open-source modules are completely free. You only pay AWS for the infrastructure they create.

Get Started

Deploy in 5 Minutes

Two simple steps to autonomous CloudWatch monitoring

1

Get API Key & Configure Module

Subscribe for $5/month to get your API key from aiopscrew.com/account

# In your terraform/main.tf:
module "cloudwatch_ai_alerts" {
  source = "https://api.aiopscrew.com/v1/module.tar.gz"

  license_key       = "cwa_live_xxxxxxxxxxxxx"
  slack_webhook_url = var.slack_webhook_url
  function_name     = "cloudwatch-ai-agent"
  environment       = "production"
}
2

Deploy & Connect Alarms

terraform init
terraform apply

# Point your alarms to the SNS topic
aws cloudwatch put-metric-alarm \
  --alarm-actions $(terraform output -raw sns_topic_arn)

Ready to Transform Your AWS Operations?

Join teams using AI Ops Crew for intelligent monitoring and automation

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Multi-AZ High Availability
Aurora v2 Auto-Scaling DB
$160/mo Estimated Cost
  • High availability across multiple availability zones with load balancing
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Jenkins Sentinel

Private Beta

AI-powered Jenkins pipeline failure analysis using AWS Bedrock. Automatically investigates build failures, classifies root causes, and delivers actionable fixes to Slack—before engineers even open Jenkins.

Any Model AWS Bedrock
5 Categories Failure Types
~$22/mo Estimated Cost
  • Intelligent failure classification: Environment, Security, Code, Dependency, Configuration
  • Security-first: Automatic secret redaction before LLM analysis
  • Rich Slack notifications with root cause, suggested fixes, and confidence scores
  • Jenkins shared library for easy pipeline integration
  • Event-driven serverless architecture with SQS for durability
Learn More & Request Access
Contact

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