Kure – Kubernetes pod-failure monitor with LLM-assisted diagnosis
Kure is a Kubernetes pod-failure monitor that assists in diagnosing issues using LLM technology. The installation process involves using Helm charts and requires a Kubernetes cluster with specific configurations. Users can customize their installation and access a dashboard for monitoring and management.
- ▪Kure Monitor is installed using Helm charts and requires a Kubernetes cluster version 1.20 or higher.
- ▪Users can configure an LLM provider through the dashboard by selecting from various options like OpenAI and entering their API key.
- ▪The installation process includes creating an initial admin account and inviting additional users with different roles.
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Installation This guide covers how to install Kure Monitor on your Kubernetes cluster. Kure ships as a Helm chart; raw k8s/ manifests are no longer maintained. PrerequisitesSection titled “Prerequisites” Kubernetes cluster (1.20+) kubectl configured to access your cluster Helm 3.x Cluster admin permissions Helm installSection titled “Helm install” Add the repositorySection titled “Add the repository” Terminal windowhelm repo add kure-monitor https://nan0c0de.github.io/kure-monitor/helm repo update Basic installSection titled “Basic install” Terminal windowhelm install kure-monitor kure-monitor/kure \ --namespace kure-system \ --create-namespace \ --set postgresql.password="$(openssl rand -hex 24)" Install with custom valuesSection titled “Install with custom values” Terminal windowhelm…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Kure Monitor.