Run matching, market data, APIs, risk, and telemetry on dedicated servers configured for each role, with CPU, RAM, storage, bandwidth, and location choices for clearer latency attribution and recovery planning.
Assign matching engines to dedicated capacity so CPU pressure and queue behavior remain easier to trace under load.
Place feeds, normalization, and distribution on distinct server roles so throughput and lag stay visible during bursts.
Choose CPU, RAM, storage, bandwidth, and location from measured request volume, payloads, and regional paths.
Use separate DDoS protection for public APIs and trading endpoints while your team manages core server allocation.
An exchange does not fail as one workload. Matching, market data, APIs, risk checks, and telemetry compete as order flow rises, so the core decision is where to draw boundaries that keep latency, jitter, queue depth, and recovery demand attributable to a single role under sustained load for operators.
At Melbicom, we offer dedicated servers with configurable CPU, RAM, storage, bandwidth, and location choices. Teams map each role to the resources it uses, place capacity around measured paths, and reserve headroom for replay, synchronization, and recovery testing under peak load.
Keep matching and order-entry paths on their own roles, move market data and analytics to separate capacity, and use DDoS protection as a bounded service for exposed endpoints. This model gives operators clearer evidence for capacity decisions without forcing one cost profile in production.
Assign gateway processes to dedicated capacity and measure request rate, queue depth, CPU pressure, and tail latency.
Keep matching execution on defined server roles so saturation, wait time, and processing variance remain attributable.
Separate feed handling, normalization, and distribution so throughput, packet volume, and downstream lag can be measured.
Use transaction volume, state access, concurrency, and accepted response windows to size risk and limits services.
Map API servers to measured concurrency, payload size, authentication work, and regional paths before production routing.
Run telemetry and reporting on separate roles so analytical demand stays visible without masking execution pressure.
Reserve storage, bandwidth, and compute for replay, synchronization, and recovery within your team's accepted window.
Use separate DDoS protection for exposed APIs and trading endpoints while your team allocates server roles separately.
