K8sGPT: An AI-powered Tool for Managing Kubernetes Clusters

K8sGPT is a tool that uses artificial intelligence (AI) to help you manage your Kubernetes clusters. It uses natural language processing (NLP) to understand the meaning of Kubernetes logs and other data. K8sGPT can identify common issues such as pod crashes, service failures, and ingress misconfigurations and?provide explanations for issues that it identifies.

K8sGPT is still under development, but it has already been shown to be effective in helping users to?diagnosing and triaging issues in?Kubernetes clusters.

How K8sGPT Works

K8sGPT works by using OpenAI's GPT-3 language model to understand Kubernetes configuration files. GPT-3 is a large language model that has been trained on a massive dataset of text and code. This allows K8sGPT to understand the meaning of Kubernetes configuration files and to identify potential problems.

When K8sGPT finds a potential problem, it will generate a report that describes the problem and recommends a solution. The report can be used by a human to fix the problem or to take other action.

K8sGPT uses analyzers to triage and diagnose issues in the cluster. It has a set of analyzers that are built in . Custom analyzers can also be written in Go language .

The K8s GPT analyzers can be used to scan your Kubernetes cluster for a variety of problems, including:

• Resource usage
• Pod scheduling
• Deployment issues
• Storage utilization
• Security vulnerabilities

Installation

Install the K8sgpt cli on the system but before we can use k8sgpt, we need to generate an API key from OpenAI .?K8sGPT uses OpenAI as the default backend but you can switch to other backend AI such as?Azure OpenAI , Local AI or?Noop AI.

Here we are proceeding with Open AI as the backend AI . Before we can use k8sgpt, we need to generate an API key from OpenAI. To generate an API key, run?"k8sgpt generate"?command , this will open a link in your default web browser where you can generate an API key alternatively you can generate API key directly on?Open AI website .

Once you have generated an API key, you can set it in k8sgpt configuration in your system by using??"k8sgpt auth"?command.

Analyzing your Kubernetes clusters

You can use the?"k8sgpt analyze --explain"?command to get more detailed information about the errors within your Kubernetes cluster.

Data anonymization?

With this option, the data is anonymized before being sent to the AI Backend. During the analysis execution, k8sgpt retrieves sensitive data (Kubernetes object names, labels, etc.). This data is masked when sent to the AI backend and replaced by a key that can be used to de-anonymize the data when the solution is returned to the user.

Only flag?--anonymize?need to be added with the analyze command to enable the data Anonymization .

e.g. k8sgpt analyze --explain --filter=Service --output=json --anonymize?

CVE Scanning

The CVE scanner is a new integration that allows to scan cluster for CVEs. This is to ensure that you’re not running any vulnerable software in your cluster. . For now Trivy is integrated which enables us to scan for critical security issues in the cluster.?

Credits : https://github.com/k8sgpt-ai/k8sgpt and https://k8sgpt.ai/