AWS Bedrock AgentCore Tutorial: Automate EC2 Start/Stop | Cost Ops | List S3 Buckets (CloudOps Ep 2)
Ready to give your AI agent hands? In this episode of our AgentCore CloudOps series, we're evolving our AWS Bedrock Agent from a passive monitor into an active management tool that can take action on your behalf.
video 1 - AgenCore series - Bedrock Agent Setup -
video 3 - AgentCore series - using AgentCore SDK - • I rebuild my CloudOps Agent using the AWS ...
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This is a critical step towards building a true, enterprise-ready automation platform. By the end of this tutorial, your agent will be able to understand and execute some of the most common CloudOps tasks, saving you time and helping you manage your infrastructure more efficiently.
In this video, you will learn how to:
🔹 Extend Your Agent's Capabilities: Move beyond read-only monitoring to implement powerful "write" actions.
🔹 Automate EC2 Instance Management: Add the logic to START and STOP EC2 instances using simple, natural language commands.
🔹 Implement S3 Bucket Listing: Give your agent the crucial ability to get a full inventory of all S3 buckets in your account—the first step to any cleanup or organization task.
🔹 Master the Core Workflow: We'll walk through the complete, best-practice process:
1. Updating your OpenAPI schema to define the new tools.
2. Configuring least-privilege IAM permissions for secure execution.
3. Writing the Python (Boto3) logic in an AWS Lambda function.
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💬 What CloudOps task should we automate next? Cost optimization reporting? Security group analysis? Let me know your ideas in the COMMENTS below!
📚 AWS RESOURCES MENTIONED IN THIS VIDEO 📚
Amazon Bedrock Agents: https://aws.amazon.com/bedrock/agents/
#AWS #AmazonBedrock #AgentCore #GenerativeAI #AICloudOps #Serverless #AWSLambda #EC2 #S3 #Boto3 #CloudAutomation #DevOps