Does it account for peak traffic and growth?

Absolutely. The estimation patterns include factors for peak load (typically 2-3x average) and provide guidance on accounting for annual user growth.

What is back-of-the-envelope estimation in system design?

It is a method of making quick, rough calculations—usually within an order of magnitude—to determine if a proposed system architecture can handle the expected load, storage, and latency requirements.

What kind of latency data is included?

It includes 'latency numbers every programmer should know,' covering L1/L2 cache, RAM, SSD/HDD access times, and cross-continental network round-trip times.

Can this skill help with system design interviews?

Yes, it provides structured frameworks and examples for common interview scenarios like URL shorteners, chat applications, and video streaming services.

Systems Design Estimation

Name: Systems Design Estimation
Author: melodic-software

bymelodic-software

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Infraestructura en la Nube

Performs back-of-the-envelope calculations for system capacity planning and architectural decision-making.

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Systems Design Estimation is a specialized Claude Code skill that provides frameworks for rapid back-of-the-envelope calculations essential for infrastructure planning. It helps engineers determine Queries Per Second (QPS), storage needs, bandwidth requirements, and latency profiles by applying proven estimation patterns and essential industry benchmarks. Whether you are sizing servers for a new feature or preparing for a high-level system design interview, this skill provides the mathematical models and critical latency numbers every programmer should know to justify architectural choices with data-driven approximations.

Características Principales

Bandwidth and throughput estimation for concurrent user scenarios
Availability and uptime target calculators for SLA planning
Automated QPS and peak load calculations for high-traffic services
Storage and database sizing estimates including replication and index overhead
Latency benchmark references for hardware and network operations
12 GitHub stars

Casos de Uso

Sizing infrastructure requirements for a new microservice or feature
Justifying architectural decisions and cloud budget requests with quantitative data
Preparing for system design technical interviews with standard patterns

Acerca de

Características Principales

Bandwidth and throughput estimation for concurrent user scenarios
Availability and uptime target calculators for SLA planning
Automated QPS and peak load calculations for high-traffic services
Storage and database sizing estimates including replication and index overhead
Latency benchmark references for hardware and network operations
12 GitHub stars

Casos de Uso

Sizing infrastructure requirements for a new microservice or feature
Justifying architectural decisions and cloud budget requests with quantitative data
Preparing for system design technical interviews with standard patterns