This content originally appeared on DEV Community and was authored by amlan
As cloud environments grow more complex, real-time observability becomes crucial. Developers and DevOps teams rely heavily on timely metrics to monitor system performance, troubleshoot issues, and ensure uptime. But jumping into dashboards or digging through CloudWatch logs every time an alert fires can be time consuming. That’s where a conversational interface—like a Slack bot—comes in.
In this blog post, you’ll learn how to build a Slack bot that can fetch and respond with AWS metrics on demand. We’ll leverage Amazon Bedrock Agents to provide intelligent, natural language responses powered by foundation models, and use Terraform to provision and manage the infrastructure. By the end, you’ll have a smart, Slack bot that understands questions like “What the highest CPU usage for my EC2 instance?”—and can answer in plain English with live AWS data.
For more details:
https://amlana21.medium.com/how-to-develop-and-deploy-an-aws-metrics-slack-bot-using-bedrock-agents-and-terraform-8eefae1b3deb
This content originally appeared on DEV Community and was authored by amlan