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Automating AWS Notifications to Slack with Terraform

As cloud workloads scale, keeping track of important events in real-time becomes critical. Instead of manually checking dashboards, you can automatically push AWS alerts into Slack where your team already collaborates.

In this post, I’ll walk you through how to set up AWS → Slack notifications using EventBridge, Lambda, and Terraform. I’ll also share the project GitHub repo so you can try it yourself.
**
Why AWS → Slack Notifications?**

AWS services like CloudWatch and EventBridge generate tons of useful events:

  • EC2 instance state changes

  • Security alerts from GuardDuty

  • Application errors and warnings

  • Custom business events

Getting these delivered instantly to Slack helps you:

  • Reduce response time during incidents

  • Collaborate quickly with teammates

  • Centralize alerts without opening multiple AWS consoles

Architecture Overview

Here’s the architecture we’ll build:
┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ AWS Service │ ----> │ EventBridge │ ----> │ Lambda │ ----> Slack Webhook
│ (CloudWatch │ │ Rule │ │ (Python) │
│ GuardDuty) │ └─────────────┘ └─────────────┘
└─────────────┘
-AWS Service (CloudWatch, GuardDuty, or others) emits an event.

  • EventBridge captures the event and routes it.

-Lambda (written in Python) processes the event and sends it to a Slack Incoming Webhook.

  • Slack displays the notification in your chosen channel.

Terraform Setup

We’ll use Terraform to automate the deployment. The main components include:

  • Lambda Function: Python script that formats and sends Slack messages.

  • IAM Role: Grants the Lambda permission to execute.

  • EventBridge Rule: Captures AWS events and triggers the Lambda.

  • Slack Webhook URL: Configured as a Lambda environment variable.

Conclusion

With GuardDuty, EventBridge, Lambda, and Slack, you can build an automated security alerting pipeline that enhances your cloud security posture. Using Terraform ensures that the setup is consistent, version-controlled, and easy to replicate.

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