Hawkeye by NeuBird
The very first AI SRE Agent
Description
Hawkeye, developed by NeuBird, introduces the concept of an AI SRE Agent acting as an intelligent teammate for IT Operations teams. It connects to diverse observability and telemetry sources across an organization's IT stack, applying the reasoning capabilities of large language models (LLMs) to this data. The primary goal is to provide unified IT insights and significantly accelerate the incident resolution process.
By analyzing complex IT issues almost instantly, Hawkeye aims to reduce Mean Time To Resolution (MTTR) by up to 90%, shortening resolution times from days to minutes. It also helps scale Site Reliability Engineering (SRE) organizations by efficiently processing multiple incidents in parallel, freeing up human SREs' time and improving overall operational efficiency.
Key Features
- AI SRE Agent: Functions as an AI teammate for ITOps and SRE teams.
- Reduce MTTR up to 90%: Instantly analyzes complex IT issues to shorten resolution times.
- Scale SRE Org: Processes multiple incidents concurrently, saving SRE time.
- Unified Insights: Consolidates and analyzes data from across the entire IT stack.
- LLM-Powered Analysis: Applies advanced AI reasoning to enterprise telemetry data.
- Seamless Integration: Connects with existing observability and telemetry tools (e.g., Microsoft Azure).
Use Cases
- Accelerating IT incident resolution.
- Drastically reducing Mean Time To Resolution (MTTR).
- Scaling Site Reliability Engineering (SRE) teams.
- Unifying IT monitoring and telemetry data analysis.
- Automating root cause analysis for IT problems.
- Improving adherence to Service Level Objectives (SLOs).
