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Step 2: Resources

Configure CPU and memory allocation for your container with intelligent presets and real-time usage monitoring.

Quick Presets

Choose a preset based on your workload type:

Development/Testing

  • CPU: 250m (0.25 cores)
  • Memory: 256Mi
  • Use Case: Minimal resources for testing and development
  • Cluster Usage: 12.5% CPU, 6.3% memory

Small Web App

  • CPU: 500m (0.5 cores)
  • Memory: 512Mi
  • Use Case: Light web applications and APIs
  • Best For: Simple websites, microservices

Medium Application

  • CPU: 1000m (1 core)
  • Memory: 1Gi
  • Use Case: Standard production workloads
  • Best For: Most web applications, API servers

High Performance

  • CPU: 2000m (2 cores)
  • Memory: 4Gi
  • Use Case: Resource-intensive applications
  • Best For: Data processing, heavy computation

Custom Configuration

CPU Configuration

  • CPU Limit: Set in millicores (500m = 0.5 CPU cores)
  • Usage Indicator: Shows percentage of cluster capacity
  • Recommendation: Start conservative and scale up based on monitoring

Memory Configuration

  • Memory Limit: Set in Mi (Mebibytes) or Gi (Gibibytes)
  • Conversion: 1Gi = 1024Mi
  • Usage Indicator: Shows percentage of cluster capacity
  • Recommendation: Allow 20-30% overhead for your application

Resource Summary

The Current Allocation section displays:

  • CPU Allocation: Your selected CPU limit
  • Memory Allocation: Your selected memory limit
  • Cluster Impact: Real-time view of resource consumption

Understanding Resource Units

CPU Units

  • Millicores (m): 1000m = 1 CPU core
  • Examples:
    • 100m = 0.1 cores (10% of one core)
    • 500m = 0.5 cores (50% of one core)
    • 1500m = 1.5 cores (1.5 full cores)

Memory Units

  • Mebibytes (Mi): Binary measurement (1Mi = 1,048,576 bytes)
  • Gibibytes (Gi): 1Gi = 1024Mi
  • Examples:
    • 128Mi = 134MB
    • 512Mi = 537MB
    • 1Gi = 1.07GB
    • 4Gi = 4.29GB

Resource Planning Guidelines

Application Sizing

  • Static Websites: 100m CPU, 128-256Mi memory
  • API Services: 200-500m CPU, 256-512Mi memory
  • Web Applications: 500m-1 CPU, 512Mi-1Gi memory
  • Microservices: 100-300m CPU, 256-512Mi memory
  • Background Jobs: 200-500m CPU, 512Mi-2Gi memory
  • Databases: 1-2 CPU, 2-8Gi memory

Monitoring and Optimization

  • Use the "Low Usage" indicators to optimize resource allocation
  • Monitor actual usage after deployment through the metrics dashboard
  • Scale resources based on performance patterns
  • Consider peak vs average usage when setting limits

Best Practices

Resource Allocation

  • Start Conservative: Begin with lower allocations and scale up
  • Monitor Usage: Use platform metrics to optimize over time
  • Plan for Peaks: Consider traffic spikes and processing bursts
  • Cluster Capacity: Be mindful of total cluster resource availability

Performance Optimization

  • CPU-bound Applications: Prioritize CPU allocation
  • Memory-intensive Applications: Focus on memory limits
  • I/O-heavy Applications: Balance CPU and memory appropriately
  • Microservices: Use smaller, focused resource allocations

Cost Optimization

  • Right-sizing: Avoid over-provisioning resources
  • Utilization Monitoring: Regular review of actual vs allocated resources
  • Scaling Strategies: Consider horizontal vs vertical scaling
  • Development vs Production: Use different resource profiles per environment

Next: Proceed to Step 3 to configure network ports and access settings.