Skyflo.ai is the world’s first AI agent for cloud native. Fully open-source, licensed under Apache 2.0, Skyflo.ai is your companion for all things Kubernetes. Join us in our mission and help us democratize cloud native for the world.
Subscribe
Sign in
Hey Product Hunt! 🚀
I’m Karan, creator of Skyflo.ai. Today we’re launching the world’s first AI agent for cloud-native.
The Problem
Ever woken up at 3 AM to a flood of pod logs and Kubernetes events? Managing cloud-native infrastructure at scale is like playing whack-a-mole in the dark, every alert threatens downtime, every error spawns endless debugging, and runbooks can’t keep pace with your evolving stack.
Enter Skyflo.ai
Fully open-source (Apache 2.0), Skyflo.ai is your AI-powered DevOps sidekick:
✅ Debug: Ask in plain English (“Why are my pods pending?”) and Skyflo runs the right commands to gather critical data.
✅ Fix: Skyflo proposes configuration changes, requests your approval, then applies them safely.
✅ Learn: Get expert insights to navigate complex Kubernetes environments with confidence.
Why You’ll Love It
🚀 Instant Expertise: Turn complex Kubernetes tasks into simple conversations.
🔮 Predictive Problem-Solving: Identify and remedy issues before they escalate.
⚡️ Lightning-Fast Resolution: Reduce hours of debugging to minutes.
🛡️ Safe & Secure: Every action comes with clear explanations and requires your confirmation.
What’s Next
Visit https://skyflo.ai, star our GitHub (https://github.com/skyflo-ai/skyflo), and share your feature requests. Your feedback will shape Skyflo’s roadmap.
Let’s make DevOps less painful, together! 🎉
@karanjagtiani This looks promising, I'm curious to give this a shot. Do you have any quick-start guides available?
@karanjagtiani @derekrevilo Please take a look at our GitHub, specifically the installation guide!
Excellent and innovative
@rick_r2 Thank you!! We strongly believe in keeping the product open-source and invite contributions!
Hey Karan Jagtiani, congrats on launching Skyflo.ai! 🎉 Tackling the complexity of managing cloud-native infrastructure, especially Kubernetes event floods at 3 AM (ouch!), is a massive challenge. An AI-powered DevOps sidekick is a brilliant solution.
Love that it's open-source (Apache 2.0) – democratizing cloud-native management is a great mission. The Debug/Fix/Learn workflow seems incredibly intuitive, translating plain English into concrete actions while keeping the user in control. As we build AI tools (@UNI AI), we appreciate the focus on safety and clear explanations.
Question: How does Skyflo's predictive problem-solving work? Does it analyze historical event patterns or use other signals to anticipate issues before they escalate?
Looks like a powerful tool for making DevOps less painful. Wishing you a very successful launch! ☁️🤖🛠️