Key Points:
• Azure‘s service quality is crucial to reliability, and the company uses AIOps to detect anomalies and manage incidents effectively.
• The Triangle System, a framework that employs AI agents to triage incidents, helps to optimize incident management and ensure quicker resolution.
• Large language models (LLMs) and generative AI are used to build AI agents that can think, reason, and plan, enabling more efficient incident management.
In a comprehensive blog post, Azure’s CTO Mark Russinovich highlighted the complexity of incident management within the cloud-based platform. With hundreds of services to manage, Azure’s teams use automation and feedback loops to detect and mitigate incidents that may impact customers.
To achieve this, Azure employs a Triangle System, which utilizes AI agents to triage incidents. These AI agents are built with large language models (LLMs) and generative AI, enabling them to think, reason, and plan more effectively.
The system consists of two main components: the Local Triage System and the Global Triage System. The Local Triage System uses a single agent to represent each team, which decides whether to accept or reject an incoming incident based on historical incidents and existing troubleshooting guides. The agent also recommends the team that should resolve the incident, if accepted.
In contrast, the Global Triage System coordinates across all single agents to identify the correct team for an incident. This is done through a multi-agent orchestrator that selects suitable team candidates, negotiates with each agent, and routes the incident to the correct team.
The result has been promising, with agents achieving 90% accuracy and one team reducing their Time to Mitigate (TTM) by 38%. Future plans include expanding the system to work with all teams, optimizing LLMs to swiftly identify solutions, and implementing auto-mitigation for known issues.
AIOps continues to play a critical role in enhancing service quality, resilience, and efficiency in Azure’s cloud platform and DevOps processes. By automating these processes, Azure teams are empowered to quickly identify and address issues, ensuring a high-quality service experience for customers.
Read the rest: Source Link
You might also like: Why Choose Azure Managed Applications for Your Business & How to download Azure Data Studio.
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