Microservices Scaling Calculator

Calculate microservice scaling needs based on your requests per second, current latency, and target latency requirements.

req/s
ms
ms

Scaling Tips

Rule of Thumb
1 instance per 100 req/s
baseline for typical services
Latency Target
P99 under 200ms
recommended for user-facing APIs
Horizontal Scaling
Linear cost increase
predictable infrastructure spend
Auto-scaling Buffer
+20-30% capacity
handle traffic spikes

Scaling Recommendations

Calculated
Current Latency
0 ms
Your current response time
Target Latency
0 ms
Desired response time
Scale Factor
0x
Multiplication needed
Instances Needed
0
Total service instances

About This Calculator

The Microservices Scaling Calculator helps DevOps engineers, SREs, and architects determine the optimal number of service instances needed to meet latency targets. This tool calculates scaling requirements based on your current traffic load and desired performance metrics.

How It Works

The calculator uses a simple but effective formula to determine scaling needs:

Scale Factor = Current Latency / Target Latency

Instances = (Requests/Second / 100) x Scale Factor
Requests/Second = Your traffic load
Scale Factor = How much you need to scale
Instances = Recommended service replicas

When to Use This Calculator

  • Planning capacity for new microservices deployments
  • Responding to increased traffic or latency issues
  • Estimating infrastructure costs for scaling
  • Setting up auto-scaling policies in Kubernetes or cloud platforms
  • Performance optimization and capacity planning

Best Practices for Microservices Scaling

  • Monitor continuously: Use metrics like P95/P99 latency, not just averages
  • Scale horizontally: Add more instances rather than larger instances when possible
  • Add buffer capacity: Plan for 20-30% extra capacity to handle traffic spikes
  • Use auto-scaling: Configure HPA (Horizontal Pod Autoscaler) in Kubernetes
  • Consider dependencies: Ensure downstream services can handle increased load