Overview
Welcome to the NeuBird documentation!
Here, you’ll understand how to use Hawkeye effectively. However, before you get started, let’s introduce you to who we are and what we do.
What is Hawkeye?
Hawkeye, built by NeuBird, is an artificial intelligence IT operations engineer. It uses GenAI to monitor and analyze the constant flow of data from IT systems, which is often too much for engineers to handle quickly.
When an issue arises, Hawkeye detects it, understands what caused it, and provides a solution in real time. This allows DevOps/IT teams to respond to problems much faster without needing to manually review complex data logs or multiple tools.
Why Hawkeye?
The more complicated IT environments become, the greater the importance of Hawkeye. With Hawkeye, routine tasks like problem detection and resolution are automated, freeing up engineers to focus on more important tasks like innovation or improving systems.
In other words, Hawkeye does the heavy lifting of troubleshooting and fixing issues, so IT teams can operate more efficiently and reduce downtime.
How does Hawkeye work?
Hawkeye works by connecting to your IT systems, like AWS, GCP, Azure, Redis, PagerDuty, etc to gather the telemetry data that these platforms generate.
This data is essentially detailed information about what’s happening in your systems at any given time, from performance metrics to activity logs.
Once connected, Hawkeye uses that data to monitor and analyze your IT environment in real time.