Software Infrastructure & Resource Sizing Estimate

What a good one includes

• A baseline traffic profile defining peak requests per second, average payload sizes, and read-to-write ratios.
• Compute calculations detailing the required CPU cores and RAM based on application runtime characteristics and concurrency models.
• Database storage projections that factor in daily data ingestion, indexing overhead, and your long-term retention policies.
• Network bandwidth requirements mapping out ingress and egress data transfer volumes under peak loads.
• An in-memory caching capacity plan estimating Redis or Memcached sizing based on your active working set size and key TTLs.
• A safety buffer margin and auto-scaling threshold framework to absorb unexpected traffic spikes without degradation.

Common mistakes to avoid

• Designing exclusively for average traffic rates rather than provisioning for peak concurrent load events and seasonal spikes.
• Neglecting to account for database indexing, system logs, and replication overhead, which can double your actual storage footprint.
• Ignoring network egress volumes and cross-region data transfer costs, leading to massive, unexpected cloud bills.
• Treating read and write database operations identically, which overlooks distinct IOPS and connection pooling limitations.

Frequently asked questions