What's the difference between concurrent users and RPS?

Concurrent users is the number of active users at any moment. RPS (requests per second) is the rate of HTTP requests. They're related: if each user makes 10 requests over 5 minutes, 1000 concurrent users = 1000 × 10 / 300 = ~33 RPS.

Why does redundancy reduce capacity?

Redundancy factor accounts for failover capacity. At 2x redundancy, half your resources are reserved for failover, so effective capacity is halved. This ensures your infrastructure can handle full load even when one server fails.

What workload type should I choose?

Web Server: static content, HTML pages. API Server: REST/GraphQL APIs returning JSON. Database: MySQL, PostgreSQL, MongoDB. Application Server: full-stack apps with business logic. Microservices: containerized services, Kubernetes pods.

How can I increase my server capacity?

Address your bottleneck: If CPU-limited, add cores or optimize code. If memory-limited, add RAM or implement caching. If network-limited, upgrade bandwidth or use CDN. Consider horizontal scaling (adding servers) vs vertical scaling (upgrading hardware).

Technology

Server Capacity Calculator

Estimate server capacity based on CPU cores, RAM, and network bandwidth. Calculate maximum concurrent users, requests per second (RPS), and identify resource bottlenecks for web servers, APIs, databases, and microservices.

Calculation Type

Workload Type

Web Server

Static content, HTML pages, simple dynamic content

CPU Cores

cores

RAM

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Plan Your Server Infrastructure

Our Server Capacity Calculator helps DevOps engineers, system administrators, and cloud architects estimate how many concurrent users and requests per second your server can handle. Based on industry-standard capacity planning formulas considering CPU, RAM, and network bandwidth constraints.

Understanding Server Capacity

Server capacity is determined by the weakest resource link - CPU processing power, available memory, or network bandwidth. The calculator models workload-specific efficiency factors for different server types (web servers, APIs, databases) and provides realistic capacity estimates based on industry benchmarks.

Capacity Formula

Capacity = min(CPU_RPS, Memory_RPS, Network_RPS) × Efficiency

Why Calculate Server Capacity?

Right-Size Infrastructure

Avoid over-provisioning (wasting money) or under-provisioning (poor user experience) by understanding your actual capacity needs.

Identify Bottlenecks

Discover whether CPU, memory, or network is limiting your server's performance before scaling.

Plan for Growth

Get scaling recommendations for 2x and 5x traffic growth to prepare for increased demand.

High Availability Planning

Account for redundancy requirements when planning failover capacity.

How to Use This Calculator

Frequently Asked Questions

These estimates are based on industry benchmarks and typical workload patterns. Real-world capacity depends on many factors including application code efficiency, database queries, caching, and traffic patterns. Use these as planning guidelines and validate with load testing.