Auto Scaling

Master ClawCloud Run's intelligent auto-scaling capabilities to dynamically adjust application instances and achieve optimal resource allocation.

Master ClawCloud Run's Auto Scaling capabilities to automatically adjust application instances for optimal resource allocation.

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How It Works

Think of auto-scaling as a 24/7 "smart regulator" for your applications. It operates through three key phases:

1. Continuous Monitoring Tracks core metrics like CPU utilization and memory usage across all active instances.

2. Intelligent Analysis Calculates required instance count based on preset thresholds (e.g., "maintain CPU usage below 50%").

3. Automatic Adjustment Dynamically scales instances up/down via ClawCloud Run's control plane, ensuring:

   • 📈 Stability during traffic spikes

   • 💰 Cost efficiency during low demand

Metric Calculation Logic

When multiple instances are running:

• Averages determine scaling actions:

  Example 1:  
  2 instances → CPU at 60% and 40% → 50% average  
  Example 2:  
  3 instances → Memory at 70%, 50%, 30% → 50% average  

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Real-World Example: E-Commerce Application

Scaling Rules

instance_range: 1-5  
target_cpu_utilization: 50%  

Scaling Formula:

Desired Replicas = ceil[Current Replicas × (Current Metric / Target)]  

Scenario 1: 🚀 Peak Traffic (Flash Sale)

• Current State: 3 instances, CPU at 75%/80%/70% → 75% average

• Calculation:

  3 × (75 / 50) = 4.5 → Rounded up to 5 instances  

• Action: Scales out to 5 instances

Scenario 2: 🌙 Off-Peak Hours

• Current State: 5 instances, CPU at 30% average for 5+ minutes

• Calculation:

  5 × (30 / 50) = 3 → 3 instances  

• Action: Scales in to 3 instances