1. Measure every relevant traffic segment
Break the path into measurable segments so candidate ranking reflects observed route behavior.
Public methodology outline
How HFTCloud measures compute candidates, path quality, and runtime behavior.
This page explains the public benchmark framework behind HFTCloud. Venue-specific footprints, detailed candidate rankings, and raw benchmark evidence are shared during active evaluation and, where needed, under NDA.
Traffic-segment measurement
Feasible candidate ranking
Route-aware recommendations
Repeatable reporting
Methodology principles
The benchmark compares real deployment candidates under one controlled methodology.
HFTCloud measures feasible compute candidates, network paths, and runtime profiles within the defined deployment scope.
2. Rank feasible compute candidates
Compare candidates using the same workload, measurement window, and distribution-aware scoring.
3. Track route diversity
Where multiple providers or media exist, we evaluate how route selection changes latency, jitter, and failover quality across the target corridor.
4. Validate runtime behavior
Test whether host and network tuning improves the leading candidate under production-relevant conditions.
Benchmark workflow
From measurement scope to ranked deployment recommendation
The public outline below is intentionally high level. It shows the logic of the process without exposing venue-sensitive details.
Scope the target exchange
Define venue, corridor, workload profile, and performance goals.
Map feasible candidates
Identify candidate instances and practical deployment options inside the relevant footprint.
Measure route behavior
Collect delay and jitter signals across the traffic segments that matter to the workload.
Score and rank candidates
Compare feasible VMs and route mixes using measured behavior instead of static assumptions.
Validate tuned host profiles
Test whether host and network tuning improves the candidate that already leads on placement quality.
Issue deployment recommendation
Return the best feasible candidate, route notes, and the next step for trial or rollout.
Benchmark output
Benchmark deliverables
The benchmark produces an evidence-based deployment recommendation.
Candidate ranking summary
Ranked feasible VM options with measurement notes, route observations, and the strongest deployment candidate.
Route design recommendation
A public-safe summary of how provider diversity and transport media affect the target corridor.
Tuned build profile
A recommended host profile that reflects the candidate most likely to deliver the best measured trading behavior.
Trial decision path
Clear next steps for a production-style pilot, with the benchmark converted into a deployment plan.
Public scope note: this page is a methodology overview. Venue-specific footprints, raw measurement traces, and path-sensitive details are not published here.
Scope and interpretation
- Results describe the defined workload, measurement window, and observed infrastructure conditions.
- Venue-internal topology may not be fully visible from the customer deployment boundary.
- Performance is revalidated when hosts, routes, kernels, or workload behavior change.
- Confidential venue-adjacency and path details remain private.
How we handle benchmark-sensitive information
- We share venue-specific materials only during active evaluation and, when needed, under NDA.
- Benchmark evidence is scoped to the customer request and is not repurposed as public marketing material without permission.
- Commercial agreements define the final reporting, confidentiality, and retention terms for paid engagements.
Ready to validate a target route?
Use measured evidence to select the production configuration
Request a scoped benchmark to compare compute, path, and runtime under production-relevant conditions.