capacity-estimation

To estimate infrastructure capacity, calculate QPS based on user activity and read-to-write ratios, then project storage, bandwidth, and cache sizing over your data retention period. This quantifies requirements to prevent over-provisioning or under-provisioning.

The best way to calculate QPS and storage sizing is to apply back-of-envelope estimation using daily active users, read-to-write ratios, and object sizes. This determines traffic load and differentiates storage across hot, warm, and cold tiers.

Bandwidth estimation factors in CDN usage by calculating inbound and outbound bandwidth needs based on QPS and object sizes. This determines network throughput requirements and identifies potential infrastructure bottlenecks during traffic spikes.

Yes, you can use back-of-envelope estimation for database connection pool planning. It assesses connection pool requirements by analyzing estimated QPS, helping identify potential database bottlenecks before infrastructure deployment.

You need to calculate cache sizing using the working set principle when designing systems requiring low latency. It determines appropriate cache sizes based on active user data, ensuring frequently accessed objects remain in memory.

Yes, capacity planning differentiates storage requirements by calculating needed capacity over specified retention periods. It separates storage into hot, warm, and cold tiers to optimize infrastructure costs and data access speeds.