SSD cache
Frequently accessed files are stored in a pool of SSD storage servers to reduce I/O request processing time.
Web, database and storage workloads are separated across dedicated platform components, with clustered request processing and load balancing used to keep resources from competing on one overloaded server.
The original platform combines caching, clustered web processing, opcode caching and a dedicated database service instead of placing every task on the same machine.
Frequently accessed files are stored in a pool of SSD storage servers to reduce I/O request processing time.
A bare-metal web server cluster processes HTTP requests in parallel to reduce bottlenecks and request queuing.
Precompiled PHP bytecode is kept in memory so scripts do not need to be loaded and parsed from scratch for every request.
The platform uses a MySQL-compatible database server backed by SSD caching for database workloads.
Separating services helps web processing, storage and database tasks operate without directly competing for the same local server resources.
Each component of the platform is hosted on its own hardware so it can perform its task without directly interfering with other services.
Services are manually tested and adjusted with performance as a priority.
The platform is designed so additional hardware can be added as it grows, without interrupting normal operation.
Hash-based load balancing helps prevent resource overcommitment in the web cluster. If a web server fails, requests are redirected to healthy nodes.
Affordable hosting for lighter websites using the same core platform services with a simpler workload profile.
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