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Storage Analysis

The Storage Analysis view provides comprehensive insights into your Kubernetes cluster's storage usage, performance, and optimization opportunities.

Overview

This analysis covers:

  • Storage Utilization: Volume usage across the cluster
  • Performance Metrics: I/O patterns and bottlenecks
  • Storage Classes: Usage and optimization recommendations
  • Persistent Volume Claims: Allocation and efficiency
  • Cost Analysis: Storage costs and optimization opportunities

Key Components

Storage Utilization

  • Total storage capacity and usage
  • Per-namespace storage consumption
  • Volume usage trends over time
  • Storage growth projections

Persistent Volumes (PVs) and Claims (PVCs)

  • PV/PVC pairing and status
  • Unused or orphaned volumes
  • Reclaim policy analysis
  • Storage class distribution

Performance Analysis

  • I/O throughput metrics
  • Latency measurements
  • Storage bottleneck identification
  • Performance per storage class

Storage Classes Analysis

Available Storage Classes

# Example storage class analysis output
apiVersion: v1
kind: List
items:
- class: fast-ssd
  provisioner: kubernetes.io/aws-ebs
  usage: 45%
  cost_per_gb: $0.20
  performance: high
  recommended_for: [databases, high-iops-workloads]

- class: standard
  provisioner: kubernetes.io/aws-ebs
  usage: 78%
  cost_per_gb: $0.10
  performance: medium
  recommended_for: [general-workloads, development]

Optimization Recommendations

  • Right-sizing volume requests
  • Storage class migration suggestions
  • Unused volume cleanup
  • Cost-performance optimization

Volume Lifecycle Management

Volume Status Tracking

  • Bound: Volumes successfully claimed
  • Available: Unbound volumes ready for use
  • Released: Volumes released but not reclaimed
  • Failed: Volumes in error state

Cleanup Opportunities

  • Orphaned PVs without PVCs
  • Released volumes pending cleanup
  • Over-provisioned storage requests
  • Unused volumes in development environments

Storage Cost Analysis

Cost Breakdown

  • Storage costs by namespace
  • Storage class cost comparison
  • Growth-based cost projections
  • Waste identification and potential savings

Budget Optimization

# Generate storage cost report
k8s-analyzer analyze --view storage-analysis --cost-report

# Identify optimization opportunities
k8s-analyzer optimize --storage --savings-report

Performance Monitoring

I/O Metrics

  • Read/write IOPS
  • Throughput measurements
  • Queue depths and wait times
  • Storage latency percentiles

Bottleneck Analysis

  • High I/O wait workloads
  • Storage-constrained applications
  • Network storage performance issues
  • Node-local vs. remote storage performance

Usage Examples

# Comprehensive storage analysis
k8s-analyzer analyze --view storage-analysis

# Focus on specific namespace
k8s-analyzer analyze --view storage-analysis --namespace production

# Performance-focused analysis
k8s-analyzer analyze --view storage-analysis --metrics io-performance

# Generate cleanup recommendations
k8s-analyzer storage cleanup --dry-run

Monitoring Integration

Prometheus Metrics

# Storage utilization query examples
kubelet_volume_stats_used_bytes / kubelet_volume_stats_capacity_bytes

# PVC usage by namespace
sum(kubelet_volume_stats_used_bytes) by (namespace, persistentvolumeclaim)

Grafana Dashboards

  • Storage utilization trends
  • PV/PVC status overview
  • Performance metrics visualization
  • Cost tracking dashboards

Maintenance Recommendations

Regular Tasks

  1. Volume Cleanup: Remove unused PVs and PVCs
  2. Capacity Planning: Monitor growth trends
  3. Performance Tuning: Optimize storage classes
  4. Cost Optimization: Right-size storage requests

Automated Policies

  • PVC expansion policies
  • Automated cleanup schedules
  • Storage quota management
  • Performance-based auto-scaling