Capacity Estimation
The process of estimating the load, traffic, and storage requirements for a system to ensure it can scale effectively.
Capacity Estimator
Design for scale by visualizing traffic, storage, and architectural trade-offs.
SYSTEM HEALTH: OPTIMAL
Live System Status
Traffic
Daily Users1.0M
Reqs / User10
Storage
Data / Request500 KB
Replicationx3
Optimize
Cache Hit Rate80%
Offload DB traffic with a cache layer.
Peak QPS116
DB QPS23
Bandwidth56.51 MB/s
Storage (30d)41.91 TB
Clients
CACHE
x3
Architectural Insights
Notice how replication (x3) ensures high availability but triples storage costs.Caching is the most effective way to handle sudden traffic spikes without scaling your database vertically.
Detailed explanation about Capacity Estimation goes here. This section would explain the algorithms, trade-offs, and real-world use cases.