Storage Analysis

Storage Analysis provides visibility into persistent volume usage and costs:

• Storage costs - Monthly spending on persistent volumes
• Utilization tracking - How much of each volume is actually used
• Volume status - Bound, Released, Available, or Failed volumes
• Storage classes - Distribution across gp2, gp3, io1, etc.
• Right-sizing opportunities - Volumes with low utilization

Access: Select cluster (Clusters page or sidebar dropdown) → Storage

Why Analyze Storage? Storage costs are a significant portion of Kubernetes spending with common waste sources:

• Released volumes - Volumes no longer bound to claims but still incurring costs
• Low utilization - Volumes with low capacity usage
• Expensive storage classes - Using premium storage when standard would suffice

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Summary Cards:

• Total Storage: Aggregate capacity across all volumes in GB
• Used Storage: Actual data stored across all volumes
• Avg Utilization: Average usage percentage across volumes
• Total Cost: Monthly cost based on hourly rates
• Volume Count: Number of persistent volumes

Timeframe Selection:

• Current (real-time)
• Historical data

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Table Columns:

• Name - PV name (truncated if >30 chars)
• Storage Class - gp2, gp3, io1, etc.
• Namespace - Bound namespace (or "Not bound")
• Claim - PVC name (or "Not bound")
• Size - Allocated capacity in GB or MB
• Status - Bound, Released, Available, Failed
• Cost - Monthly and hourly rates

Status Types:

• Bound - Volume attached to a PVC and in use
• Released - Volume was bound but PVC deleted (still costing money)
• Available - Volume created but never bound
• Failed - Volume in error state

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Available Filters:

• Search by name, storage class, PVC, or namespace
• Filter by storage class (gp2, gp3, io1, etc.)
• Filter by status (Bound, Released, Available, Failed)
• Filter by namespace

Sorting Options:

• By size (allocated bytes)
• By cost (hourly rate)
• By usage (utilization percentage)
• Ascending or descending order

Clear Filters: Shows active filter count with "Clear filters (N)" button

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Common Storage Classes:

gp3 (General Purpose SSD):

• Cost: ~$0.08/GB/month
• Use case: General workloads, recommended default

gp2 (Legacy General Purpose SSD):

• Cost: ~$0.10/GB/month
• 25% more expensive than gp3
• Recommendation: Migrate to gp3

io1 (High IOPS SSD):

• Cost: ~$0.125/GB/month + IOPS charges
• Use case: High performance databases
• Check if baseline gp3 (3K-16K IOPS) is sufficient

sc1 (Cold HDD):

• Cost: ~$0.025/GB/month
• Use case: Infrequent access, backups

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1. Migrate gp2 → gp3:

• Identify volumes using legacy gp2
• Save 20% by migrating to gp3
• No performance impact (gp3 often faster)

2. Review io1 Usage:

• Check actual IOPS requirements
• Consider downgrading to gp3 if <16K IOPS needed
• Potential 20-50% cost reduction per volume

3. Right-size Low Utilization Volumes:

• Focus on volumes with low capacity usage
• Consider workload growth patterns before resizing
• Note: Kubernetes doesn't support shrinking volumes directly

4. Clean Up Released Volumes:

• Released status = paying for unused storage
• Review reclaim policy before deletion
• Check if data backup exists