Kagent Health Analyzer

kagent Health Analyzer Skill

Purpose

This skill provides cluster-level insights using kagent for analyzing health, optimizing resource allocation, diagnosing pod failures, and generating actionable recommendations based on kagent output.

Capabilities

• Execute kagent commands for cluster health analysis
• Optimize resource allocation based on cluster usage patterns
• Diagnose pod failures and their root causes
• Generate comprehensive summaries of kagent output
• Provide actionable recommendations for cluster improvements
• Interpret kagent analysis results and translate to practical actions

Implementation Details

Cluster Health Analysis

• Analyze overall cluster status and component health
• Check control plane component statuses (API server, etcd, scheduler, controller manager)
• Evaluate node health and resource utilization
• Assess networking and storage subsystems
• Identify potential bottlenecks or issues

Resource Allocation Optimization

• Analyze current resource usage patterns across the cluster
• Identify over-provisioned and under-provisioned resources
• Recommend resource limit and request adjustments
• Suggest node pool scaling based on workload demands
• Optimize scheduling efficiency

Pod Failure Diagnostics

• Analyze failed pod patterns and common causes
• Check for resource contention issues
• Identify configuration errors leading to failures
• Examine node-related issues affecting pods
• Review logs and events for failure patterns

Output Interpretation

• Summarize kagent analysis results in a clear format
• Highlight critical issues requiring immediate attention
• Prioritize recommendations based on severity
• Translate technical findings into actionable steps
• Provide context for recommendations

Usage

Common kagent Commands:

Cluster Health Analysis:

kagent "analyze cluster health"

Resource Optimization:

kagent "optimize resource allocation"

Pod Failure Investigation:

kagent "why are pods failing"

Comprehensive Analysis:

kagent "perform complete cluster analysis"

Analysis Workflow:

Step 1: Execute kagent command

kagent_output=$(kagent "{analysis_request}")

Step 2: Parse and summarize results

• Extract key metrics and findings
• Identify critical issues
• Group related problems
• Determine severity levels

Step 3: Generate recommendations

• Immediate actions for critical issues
• Medium-term optimizations
• Long-term capacity planning suggestions
• Best practice implementations

Example Output Format:

Cluster Health Analysis Summary:
- Overall Status: {status}
- Critical Issues Found: {count}
- Resource Utilization: {overview}
- Recommendations: {list}

Detailed Findings:
- {finding_1}: {description}
- {finding_2}: {description}

Recommended Actions:
1. {action_1}: {priority_level}
2. {action_2}: {priority_level}
3. {action_3}: {priority_level}

kagent Command Examples:

For Cluster Health:

kagent "analyze cluster health and provide a summary of any issues"

For Resource Optimization:

kagent "analyze resource allocation and suggest optimizations for CPU and memory"

For Pod Failures:

kagent "investigate recent pod failures and explain the most common causes"

For Capacity Planning:

kagent "analyze current usage trends and recommend scaling actions"

Recommended Actions Framework:

Immediate (0-1 hour):

• Critical security patches
• Failed components requiring restart
• Resource exhaustion issues

Short-term (1-24 hours):

• Configuration corrections
• Minor resource adjustments
• Pod restarts/redeployments

Medium-term (1-7 days):

• Resource limit optimizations
• Node pool adjustments
• Storage optimizations

Long-term (1-4 weeks):

• Architecture improvements
• Scaling strategy implementations
• Monitoring enhancements