Introduction to AI-Powered Incident Triage
Author(s): Asif Foysal Meem
This article is part of a series that explores the use of AWS Bedrock’s built-in features and multi-agent orchestration to streamline on-call incident triage. With the help of AI, the goal is to make incident triage more efficient, allowing developers to resolve issues quickly, even with just one cup of coffee.
Background and Previous Work
The concept of using a chatbot for on-call developers was introduced in a previous article. This initial experiment involved AWS Bedrock Knowledge Base, Bedrock Agents, and a Lambda function for CloudWatch integration. Although it was a promising start, there were limitations, particularly with the Lambda and Bedrock agent integration.
Bringing the Concept to Life
Following the initial experiment, a team was formed during an internal hackathon to further develop the concept. The collaborative effort was highly successful, culminating in the team winning the People’s Choice award. This achievement underscored the potential of the idea and motivated further development.
Building the Solution with AWS Bedrock
This article focuses on building a solution using the AWS Console and leveraging Bedrock’s latest Multi-Agent Orchestrator feature. The approach involves using "clickops" to create a quick proof of concept. This method allows for rapid validation of the idea, providing valuable insights into the feasibility and potential benefits of the solution.
The Series Overview
This article is the second in a four-part series aimed at creating a GenAI application using multi-agent orchestration on AWS. The series will incrementally build upon the strategies introduced, providing a comprehensive guide to developing an AI-powered incident triage system.
Conclusion
The use of AI in incident triage has the potential to significantly enhance the efficiency and speed of resolving production incidents. By leveraging AWS Bedrock’s features and multi-agent orchestration, developers can create powerful tools that assist in this process. As the series progresses, it will delve deeper into the technical aspects and benefits of implementing such a system.
FAQs
- What is the main goal of the project? The main goal is to create an AI-powered system for incident triage to make the process more efficient.
- What tools and services are being used? The project utilizes AWS Bedrock, Bedrock Knowledge Base, Bedrock Agents, and Lambda functions for CloudWatch integration.
- What is the significance of the Multi-Agent Orchestrator feature? This feature allows for the coordination of multiple agents, enhancing the capability of the system to handle complex incident triage tasks.
- How can readers follow the project’s progress? The project’s development is being documented in a four-part series, with each part building on the previous one to provide a comprehensive overview of creating a GenAI application for incident triage.
