Capacity Planning
Estimate CPU, memory, storage, and bandwidth from users, workloads, data, and expected growth.
We start with the workload, data, updates, and growth path—not with a server specification looking for something to host.
Pricing follows resources, traffic, backups, support hours, and service level, and is confirmed before work begins.
Estimate CPU, memory, storage, and bandwidth from users, workloads, data, and expected growth.
Install only the required Linux, Docker, process management, packages, and access controls.
Configure service routing and TLS without exposing unnecessary ports directly.
Deploy the website or API and establish a repeatable, traceable release process.
Plan local and off-site backups around data importance, with explicit recovery assumptions.
Create a baseline for uptime and resources, then scale from measured demand.
Share the stack, traffic, data, background work, and database requirements.
Hosting, traffic, backups, and engineering fees are listed without unnecessary overprovisioning.
The environment is prepared and deployed with DNS and recovery planned for migrations.
Take full control after setup or add monitoring, backup checks, and ongoing maintenance.
Static sites, APIs, databases, and long-running workloads need very different resources. One fixed price either overcharges simple work or underpowers important services.
Depending on the selected setup, the environment can be built and handed over with control, update instructions, and required documentation.
No vague unlimited claims. Traffic, storage, backup frequency, and retention scope are written down before delivery.
Yes, after reviewing the database, files, DNS, acceptable downtime, and limitations of the current provider.
Submitting a request is free and does not commit you to a project. We review the current state before recommending a scope.
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