FixItFlow: Automated Troubleshooting Guide Generation from Cloud Incidents
FixItFlow is an automated system that leverages large language models to generate validated troubleshooting guides from historical cloud incident data, significantly improving incident response times and reducing documentation burdens for engineering teams.
Original paper licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
Imagine the internet as a giant, bustling city made entirely of invisible digital buildings. Inside these buildings, millions of tiny workers (computer programs) are constantly talking to each other to keep everything running. Sometimes, a worker gets confused, a pipe bursts, or a light flickers, causing a "glitch" that can stop the whole city from working. When this happens, a team of brave digital firefighters called "engineers" has to rush in to fix it. They rely on special instruction manuals called "Troubleshooting Guides" to know exactly what to do. But here's the problem: writing these manuals by hand is slow, boring, and often leads to mistakes or outdated advice, like trying to fix a 2024 car with a 1990s repair book. This paper explores a new, automated way to write these manuals instantly by watching how the engineers actually fix problems in real-time, using a super-smart AI assistant that never makes things up.
The paper introduces a system called FixItFlow, which acts like a super-efficient, hyper-observant apprentice for those digital firefighters. Instead of waiting for a human to sit down and write a guide after a crisis, FixItFlow automatically watches the history of past emergencies. It reads through the messy chat logs and notes where engineers discussed what went wrong and how they fixed it. Then, it uses a powerful type of AI (known as a Large Language Model) to turn those messy notes into a clean, step-by-step guide.
The magic of FixItFlow isn't just that it writes fast; it's that it refuses to lie. In the world of AI, there's a common problem where computers sometimes "hallucinate," meaning they confidently invent facts or commands that sound real but are actually fake. FixItFlow has a strict rule: it will only include a command or a step if it can find the exact words in the original engineer's notes. If the notes say, "We restarted the server," the guide says, "Restart the server." It won't guess how to restart it if the notes don't say. This ensures the guide is safe to use in a real emergency.
To see if this actually works, the researchers tested FixItFlow with 26 real engineers. They found that the guides the AI created were clear and easy to follow, earning a positive rating from about 61.5% of the engineers who tried them. Even more exciting, the paper suggests that when these guides were used, the time it took to fix the problem dropped significantly—about 2.3 times faster than before. While the engineers noted that the guides still needed some human tweaking to fit perfectly into their specific team styles, the results suggest that automating this process is a promising way to help teams respond to digital disasters faster and with less stress.
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