k8ops 0.0.2

Kubernetes Operations Tools

k8ops - Kubernetes Operations Tools

A collection of tools to help with Kubernetes cluster operations and management.

Installation

You can install k8ops using pip:

pip install k8ops

Or using uv:

uv pip install k8ops

Requirements

• Python 3.7+
• kubectl configured with access to your Kubernetes cluster

Features

Node Summary

The node summary command provides detailed information about cluster nodes:

k8ops cluster summary [options] [node_names...]

Options

• --wide: Show wide output with additional columns
• --pods: Show pods running on each node
• --images: Show container images on each node
• --taints: Show node taints
• --labels: Show node labels
• --annotations: Show node annotations
• --capacity: Show node capacity
• --allocatable: Show node allocatable resources
• --conditions: Show node conditions
• --addresses: Show node addresses
• --metrics: Show node metrics
• --all: Show all information

Node Drain Analyzer

The node drain analyzer helps assess the impact and risks of draining nodes from your Kubernetes cluster:

k8ops cluster drain [options] <node_names...>

Features

• Comprehensive drain impact analysis:
  • Resource usage evaluation (CPU, memory, pods)
  • Pod scheduling constraints check
  • Architecture and OS compatibility verification
  • Taint and toleration validation
  • DaemonSet impact assessment
  • Running jobs/cronjobs detection
  • Node selector and affinity rules check
  • Resource availability calculation

Options

All options from the summary command are supported, plus:

• --factor: The factor for resource calculations when pods have no requests set (default: 1.5)

Analysis Details

The analyzer checks for various potential issues:

1. Resource Constraints

   • CPU and memory availability on remaining nodes
   • Pod capacity limits
   • Resource distribution impact

2. Scheduling Constraints

   • Node selectors compatibility
   • Affinity/anti-affinity rules
   • Taints and tolerations
   • Architecture/OS compatibility

3. Workload Impact

   • DaemonSet pods
   • Running jobs/cronjobs
   • Pods with no controllers
   • Pod density changes

Severity Levels

• High: Critical issues that will likely prevent successful node draining
• Medium: Significant issues that may cause problems
• Low: Minor issues that should be reviewed
• None: No issues detected

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT License