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Building a Ready-to-Use Multi-Agent GenAI Chatbot on AWS for Streamlined Production Incident Response
Latest   Machine Learning

Building a Ready-to-Use Multi-Agent GenAI Chatbot on AWS for Streamlined Production Incident Response

Author(s): Asif Foysal Meem

Originally published on Towards AI.

Building a Ready-to-Use Multi-Agent GenAI Chatbot on AWS for Streamlined Production Incident Response

This is part 2 of a step-by-step exploration of AWS Bedrock’s built-in features and multi-agent orchestration to streamline on-call incident triage — You’ll only need one coffee to triage prod incidents once you’ve got an AI buddy

You’ll only need one coffee once you’ve got an AI buddy

In my previous article, I introduced the idea of a chatbot for on-call developers. It was a scrappy but promising concept: I experimented with AWS Bedrock Knowledge Base, Bedrock Agents, and a Lambda function for CloudWatch integration.

Since then, I formed a team during an internal hackathon to bring this concept to life. The collaborative energy was electric, and our teamwork paid off when we won the People’s Choice award! 🏆

This article is the second in a four-part series that will incrementally built the strategies to create a GenAI application using multi-agent orchestration on AWS:

Previous Article: Introduction of the idea + limitation I ran into with Lambda + Bedrock agent integrationThis Article: Build the solution using the AWS Console and Bedrock’s latest Multi-Agent Orchestrator feature- We’ll leverage “clickops” to create a quick, dirty proof of concept — but you can get value from this if you’re looking to quickly validate an idea. Still, Infrastructure as… Read the full blog for free on Medium.

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