Run web applications, mobile backends, SaaS platforms, APIs, and workers on isolated hardware with selectable CPU, memory, storage, region, and bandwidth for direct operational control.
Map CPU, memory, and storage to request concurrency, database load, background workers, and sustained service pressure.
Deploy servers near users and dependencies to shorten network paths and keep latency and routing decisions explicit.
Select per-server bandwidth for API traffic, uploads, downloads, and service flows so capacity fits application demand.
Use CDN for cacheable assets and optional DDoS protection while keeping origin infrastructure customer-administered.
Production applications rarely consume CPU, memory, and storage evenly across requests, data operations, and background workers. Teams must account for concurrency spikes, sustained database I/O, and queued job demand while preserving capacity headroom. Effective sizing starts with a workload profile that exposes these pressures before selecting infrastructure.
Melbicom provides isolated hardware with selectable CPU, memory, storage, region, and per-server bandwidth so teams can align capacity with real demand. Ready-to-deploy configurations offer a direct path to production, while custom builds cover workloads that fall outside standard hardware profiles. The operating system and application stack remain fully under your control.
Run dynamic application logic, data tiers, and workers on the dedicated origin, then distribute cacheable assets through CDN where it fits the architecture. Add optional DDoS protection for exposed endpoints without changing how the application stack is managed. This separation keeps compute, delivery, and protection decisions clear and predictable.
Run tenant services, queues, and data tiers on isolated hardware sized for steady transactions and worker demand.
Host APIs, auth, media processing, and notification workers near users while retaining control of the operating stack.
Place runtimes and databases on isolated hardware sized for request concurrency, session load, and storage I/O demand.
Separate API, worker, and database demands so sustained integrations do not compete for the same host capacity.
Run reporting workflows and database jobs on isolated capacity while retaining full control of application systems.
Standardize hardware, regions, and bandwidth across client estates with consistent operating models and ownership.
Distribute cacheable interfaces, downloads, and media across regions while origin serves dynamic application requests.
Apply optional DDoS protection to public services while keeping control of software, policies, and endpoint design.
