With the help of AI tools, I am building a KubeAssist, being from Cloud and DevOps domain, I feel many engineers struggle with Kubernetes Compatibility Checks specially during upgrade, which may cause downtime, if not carefully reviewed.
KubeAssist is a powerful Kubernetes cluster analysis tool designed to help Kubernetes engineers and administrators make informed decisions about cluster management, particularly focusing on upgrade impact analysis and resource optimization.
Managing Kubernetes clusters at scale presents numerous challenges, from understanding resource utilization to planning upgrades safely. KubeAssist addresses these challenges by providing comprehensive cluster analysis, with a special focus on upgrade impact assessment and resource optimization.
- Comprehensive resource inventory (pods, services, deployments, etc.)
- Namespace-wise resource distribution
- Custom resource definition (CRD) analysis
- Real-time cluster metrics
- Workload compatibility assessment
- Service impact evaluation
- Estimated downtime calculation
- Pre-upgrade validation checks
- Detailed mitigation recommendations
- Node capacity and allocation tracking
- Resource utilization patterns
- Namespace-level quota monitoring
- Pod distribution analysis
# Clone the repository
git clone https://github.com/yourusername/kubeassist.git
# Navigate to the project directory
cd kubeassist
# Build the project
go build -o kubeassist cmd/kubeassist/main.go
# Usage
KubeAssist requires a valid kubeconfig file to interact with your Kubernetes cluster:
bashCopy./kubeassist --kubeconfig /path/to/kubeconfig [--context your-context]Go 1.19 or higher Access to a Kubernetes cluster Valid kubeconfig file Required permissions to access cluster resources