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Peak RPS
Model campaign and notification bursts, not only averages.
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Estimate starting vCPU, RAM, NVMe and architecture for a SaaS application from active users, concurrency, request rate, database size and background jobs.
$ workload: SaaS $ inputs: concurrency + RPS + DB + queue $ output: vCPU / RAM / NVMe / topology $ rule: measure p95, I/O, queue lag
SaaS capacity is not determined by registered users alone. Concurrency, request rate, database working set, queues, realtime connections and peak traffic must be considered together.
This tool produces a starting estimate for capacity planning; validate production decisions with load tests and real monitoring data.
Change the inputs and calculate again.
Peak active users and their dynamic request rate are more useful sizing signals than monthly active users.
Model campaign and notification bursts, not only averages.
Move email, webhook, reports and image processing out of the request path.
A single NVMe VPS is economical at first. Split app and database layers when database I/O, deploy impact or queue load becomes material.
Laravel 13 requires PHP 8.3+ according to its deployment documentation. OPcache, process supervision and queue management remain important.
Track p95/p99 latency, CPU, peak RAM, swap, disk latency, slow queries and queue lag.
There is no universal number; concurrency, per-request memory, cache and DB working set matter.
NVMe VPS is practical for many early workloads; sustained IOPS, huge RAM or dedicated GPU/CPU can justify physical servers.
No, but it can reduce database pressure for sessions, cache and queues.
It depends on job duration and arrival rate; watch CPU, RAM and external API limits.
Share your workload, traffic profile and growth target so we can determine the appropriate VPS or GPU server class.