Azure region selection, measured from your sites

Find the best Azure region
for your entire fleet.

RegionProbe measures network performance from your physical locations to candidate Azure regions. Compare performance across participating sites before choosing where to deploy.

Born from a real Azure network deployment spanning approximately 30 sites.

Scalable distributed locations connecting to RegionProbe's Azure decision intelligence engine
Illustrative site-to-region measurement flowCandidate: Central US (Iowa)Candidate: East US (Virginia)Compare candidate regions across the whole fleet
The Enterprise Dilemma

The best region for HQ may not be best for every site

A region choice based on one office can overlook the rest of the network. Measure from the locations your teams depend on before committing to a deployment.

The Headquarters Bias

A test from headquarters tells you about that location. Branch offices, clinics, and distribution centers may reach the same Azure region through very different network paths.

Last-Mile Peering Realities

Nearby does not always mean faster. Site connectivity and routing can make geographic distance a poor substitute for measurements from your network.

Painful Regional Lock-In

Changing regions after deployment can mean revisiting infrastructure, dependencies, and migration plans. Compare the options while that choice is still open.

How RegionProbe Works

Measure locally. Compare the fleet. Choose with evidence.

Site measurements give RegionProbe the context to compare candidate Azure regions across your network. Pilot scope and deployment requirements are agreed before testing.

Site AgentRegionProbeFleet AnalysisRecommendation

STEP 01

Measure from participating sites

Start with the physical locations that matter to your decision. Agree the measurement points and deployment requirements for the pilot.

  • Identify participating locations
  • Choose candidate Azure regions
  • Agree the measurement scope
STEP 02

Compare the network paths

Use site-to-region measurements to compare performance over the periods that matter to your organization, rather than relying on a single office or snapshot.

  • Compare candidate regions
  • Look for site-level differences
  • Include relevant operating hours
STEP 03

Evaluate the fleet-wide trade-offs

Bring the results together to assess regional fit across the fleet. Consider both the overall pattern and locations that need closer attention.

  • Review results across locations
  • Identify performance trade-offs
  • Inform the region decision
INTERACTIVE DEMO — SAMPLE DATA

Explore how a fleet comparison works

Compare three candidate regions across ten fictional sites. This interactive example uses generated values, not live network tests or customer measurements.

SAMPLE DATA Browser-only simulation

Sample fleet comparison

Run the sample benchmark to update the example values and explore the trade-offs.

Request Pilot

Simulated/demo telemetry only. No live network probes are sent.

Azure East US

Candidate region: East US

Fleet Avg RTT38 ms
Sites above sample 45 ms threshold4 sites(Sample threshold count)
Jitter Variance±1.4 ms
Data sourceSample dataset
Illustrative score:71.2 / 100

Azure West US

Candidate region: West US

Fleet Avg RTT41 ms
Sites above sample 45 ms threshold4 sites(Sample threshold count)
Jitter Variance±1.9 ms
Data sourceSample dataset
Illustrative score:62.5 / 100

Sample Site Measurements

Generated in this browser. No network probes are sent.
Agent LocationClusterCentral USEast USWest USJitterSimulated status
New York HQNorth East28 ms14 ms68 ms±1.2msActive
Chicago Logistics HubMidwest11 ms24 ms48 ms±0.9msActive
Dallas Regional OfficeSouth Central16 ms35 ms38 ms±1.4msActive
Atlanta Ops CenterSouth East22 ms18 ms62 ms±1.1msActive
Denver DistributionMountain24 ms48 ms26 ms±1.8msActive
Seattle EngineeringPacific NW42 ms66 ms14 ms±0.8msActive
San Francisco LabWest Coast44 ms68 ms12 ms±0.7msActive
Boston Medical OfficeNorth East31 ms16 ms72 ms±1.3msActive
Minneapolis CenterMidwest15 ms32 ms45 ms±1.0msActive
Phoenix BranchSouthwest32 ms56 ms20 ms±1.5msActive
Reading the sample: A region can perform well overall while individual sites favor another option. A real recommendation needs measurements from your own fleet.Illustrative only
Measurement Perspective

Compare the evidence behind your region choice

A guide to measurement approaches, not a performance benchmark. Coverage depends on the tools and sites included.

Decision questionRegionProbe approachManual site checksPublished latency references
Where are measurements taken?Participating physical sitesThe locations you testThe source’s measurement locations
How is the fleet considered?Compare participating sites togetherCombine the results you collectCheck coverage against your fleet
What decision does it support?Evaluate candidate Azure regionsInterpret your measurementsReference context
How are results reviewed?Site-to-region comparisonYour chosen tools and recordsReference context
What does setup involve?Agree scope and requirements for the pilotChoose hosts and a test methodReview the source and its coverage
Where Site-Level Evidence Matters

Make location-aware Azure decisions

Multi-Branch Retail & Clinics

Teams choosing a cloud region for applications used across clinics, bank branches, or retail stores, where the experience at each site matters.

Azure Virtual Desktop / Citrix

Teams planning remote desktop deployments and evaluating how candidate regions serve users in different physical locations.

Cloud Architects & MSPs

Advisers comparing regional options and explaining network performance trade-offs to technical and business stakeholders.

Illustrative Planning Tool

Explore a latency scenario

Use this optional calculator to explore assumptions after reviewing the fleet demo. It models a possible time cost, not measured losses or demonstrated savings.

What could added latency mean for your team?

Adjust the inputs to see how the scenario changes. Actual business impact depends on your applications and workflows.

50 sites
10 Pilot Sites100 Multi-Site Enterprise500 Global Locations
150 staff
10 Users150 Regional Office500 Campus Facility
$95,000/yr
+38 ms RTT

This is a scenario input. Use measured differences between your candidate regions when evaluating your own network.

Annual Model OutputIllustrative
Modeled annual time cost
$2,436,750/year

Across 7,500 people, the model assigns ~51,300 hours per year to additional latency.

Modeled migration allowance:$155,000
Input basis:User assumptions
Use for:Scenario planning
RegionProbe Pilot

Request a RegionProbe pilot

Interested in evaluating Azure regions for your network? A pilot starts with a discussion of your locations, candidate regions, and decision criteria, followed by an agreed measurement scope.

A scoped evaluation for your network

Deployment requirements, network access, data handling, and the observation period should be reviewed together before any pilot begins.

Submit your request, then confirm your email to join the pilot list.
Registration records your interest; access and pilot scope are agreed separately.

Got Questions?

Frequently Asked Questions

What does RegionProbe help us decide?

RegionProbe compares network performance from participating physical locations to candidate Azure regions. The aim is to find the best regional fit for the fleet while making site-level trade-offs visible.

Why measure from our own sites?

Published references provide useful context. Measurements from your own sites help you compare the network paths your organization actually uses.

How long should a pilot measure performance?

The observation period should cover the operating hours and usage patterns that matter to your fleet. Pilot duration and decision criteria are agreed before drawing conclusions.

What should we review before deployment?

Review participating sites, candidate regions, deployment requirements, network access, and data handling. The pilot discussion establishes what will be measured and how the results will be evaluated.

What happens after I request a pilot?

Confirm your email to register your interest. Your request is the starting point for discussing fit and scope; it does not guarantee access, a start date, or a particular result.