1. Measure every traffic segment
We break the path into measurable segments so instance ranking is based on route behavior, not on broad regional assumptions or marketing labels.
Public methodology outline
How HFTCloud measures placement, path quality, and host performance.
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 is designed to compare real candidates, not generic regions.
HFTCloud focuses on measurable differences between feasible instances, feasible paths, and tuned host profiles inside the relevant deployment footprint.
2. Rank feasible VM candidates
We compare candidates inside the exchange-adjacent footprint and penalize options that look acceptable on averages but degrade under tail conditions.
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 tuned host behavior
Default cloud settings often favor efficiency and fairness. HFTCloud tests whether tuning the host and network stack materially improves real trading behavior.
Benchmark workflow
How the benchmark moves from hypothesis to ranked 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
What a benchmark engagement is meant to deliver
The goal is to make a deployment decision with evidence, not to produce a vanity report.
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.
What the public methodology does not claim
- It does not claim perfect knowledge of a venue’s internal topology.
- It does not promise that one region label alone determines latency quality.
- It does not treat one benchmark pass as a permanent truth without ongoing measurement.
- It does not publish confidential adjacency details for exchanges or data centers.
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?
Turn benchmark evidence into a deployment decision.
Request a trial benchmark and move from assumptions to measurable placement, path, and tuning decisions.