What is AIOps?
Gartner defines AIOps as Artificial Intelligence for IT Operations --> AIOps combines big data and machine learning to automate IT operations processes, including event correlation, anomaly detection and causality determination.
Why Do We Need AIOps?
AIOps is needed because Kubernetes is difficult to operate.
We (humans) operate Kubernetes (K8s) using a CLI, with 1000s of objects, each defined by structured yaml text, constantly changing.
APIs were made for machines.
AI is built for processing lots of data, and looking for anomalies.
KAOPS' users have AI to help detect, troubleshoot, and resolve issues in their Kubernetes clusters, using simple, plain language.
AI for DevOps and IT Operations
Modern Kubernetes Observability with K8sGPT

Monitor Kubernetes operations with KAOPS using AI-driven insights to resolve issues faster
Increase productivity and features released
Develop more robust software applications
Upskill staff and reduce costs
Frequently Asked Questions
Dynamically monitor your Kubernetes infrastructure in any cloud with our suite of open-source AIOps tools.
Perform instant workload analysis, translate complex data into easy-to-understand fixes, and analyze clusters in-depth.
With KAOPS, you get:
Instant workload analysis to identify critical issues
Simplified data translation for easy fixes
In-depth cluster analysis
Dynamic enable/disable or persistent GPT-based monitoring
Now you can rapidly diagnose and triage issues with open-source AIOps for your Kubernetes infrastructure. It's like having an engineer in every cluster.
At a Glance

KAOPS features AIOps powered by open-source K8sGPT AI large language models, helping DevOps and IT Ops diagnose and triage issues faster in Kubernetes clusters.
It's like having an AI Kubernetes expert that is always watching.