Workload Details

Workload Details provides deep insights into individual workloads:

• Cost Analysis - Total monthly cost breakdown by container and resource type
• Resource Usage - Current and historical CPU/Memory utilization
• Container Details - Per-container metrics and resource allocation
• Optimization - Right-sizing recommendations with savings estimates
• Performance - Request/limit efficiency and throttling detection
• Configuration - YAML spec with best practices analysis

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

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Monthly Cost Card:

• Total cost with trend indicators with historical metrics
• Breakdown: CPU (64%), Memory (27%), Storage (9%)
• Ghost town analysis

Resource Efficiency:

• CPU efficiency percentage (actual vs. requested)
• Memory efficiency percentage
• Over-provisioning amount in dollars/month

Replicas & Availability:

• Current/desired replica count
• Uptime percentage (historical)
• Restart events (with reasons like OOMKilled)

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Deployments:

• Revision history and rollback capability
• Rolling update status
• HPA (autoscaler) configuration

StatefulSets:

• Pod ordinal tracking
• PVC bindings per pod
• Storage cost per replica

DaemonSets:

• Node distribution
• Per-node pod status
• Scheduling rules

Jobs/CronJobs:

• Execution history
• Cost per run
• Failure analysis

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Interactive charts showing historical trends:

• CPU Usage - Actual vs. requests vs. limits
• Memory Usage - With OOM event markers
• Network I/O - Inbound/outbound traffic
• Disk I/O - Read/write operations

Features: Zoom, pan, export, annotations, comparison mode

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Right-Size a Workload:

1. Check Resource Efficiency metrics
2. Analyze historical usage charts
3. Review Kubeadapt's recommendations
4. Update via GitOps PR or kubectl patch
5. Monitor after applying

Fix OOMKilled Pods:

1. Check Availability card for restart count
2. Analyze Memory chart for P99 usage
3. Apply recommended limit increase
4. Verify fix with monitoring