
Enterprise Cloud Performance Testing Platform
Scale the JMeter and Gatling scripts you already maintain to 8,000 concurrent virtual users across six named regions, on zero-idle-cost infrastructure that is provisioned per run and destroyed when it ends.
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A Complete Performance Testing Platform
Run JMeter and Gatling plans on managed cloud load generators, split load across regions, and read percentile reports per run.
Plan Formats
Cloud Load Testing, JMeter And Gatling
Upload a .jmx or a Gatling simulation. HyperExecute runs it on managed cloud load generators, no grid to build.
Get Started For Free- Support for JMeter and Gatling test plan formats.
- Fully managed cloud with zero setup or maintenance.
- Gatling also runs from a hyperexecute.yaml in CI.

Run At Scale
Automated Load Testing, No Servers
Generators spin up for the run and are destroyed when it ends, so no load fleet idles between tests.
Start Free TestingWhat you set per run

Load Regions
Cloud Load Testing From Six Regions
Split users by percentage across the regions your customers are in. Multi-region generation is an Enterprise plan capability.
Start Free TestingAvailable regions

Run Reports
Live Performance Test Reports
Watch percentiles, throughput and error rate move while the run is still going, then drill in per endpoint.
Start Free Testing- Response time p50, p95 and p99, not just an average.
- Throughput in requests per second and error rate by code.
- Five named JMeter reports, or the Gatling HTML artifact.

Compliance Ready
Performance Testing On Secure Infra
Plans, scripts and results describe how your systems behave under load. Every run is encrypted, isolated and logged.
Start Free TestingWhat's protected?

Distributed Load Generation Across Multi-Region Cloud Grids
Four steps from an existing plan to a report. There is no grid to stand up and no load generator to keep alive between runs.
Upload the plan
A JMeter .jmx, folders included so CSV data files come with it, or a Gatling Java DSL simulation.
Set the load
Total Users, Ramp-up Time, Duration, and the percentage split across regions.
Run it
Generators are provisioned for this run, drive the load, then are destroyed.
Read the report
Percentiles, throughput, error rate and per-endpoint statistics, live as the run goes.
Included on Every Performance Run
Native Plan Formats
JMeter .jmx and Gatling Java DSL execute as they are. k6 is documented via runtime addons at 0.52.
Protocol-Level Targets
HTTP and HTTPS, REST and SOAP, GraphQL, plus the databases and queues your samplers already drive.
Six Named Regions
East US, West US 2, Central India, Southeast Asia, Brazil South and Mexico Central, split by percentage.
CI Pipeline Trigger
Gatling runs from a hyperexecute.yaml in your repo, so load shape is reviewable in a pull request.
Percentile Reporting
p50, p95 and p99 with throughput, error rate and per-endpoint statistics while the run is live.
Nothing Billed While Idle
Generators are provisioned for the run and destroyed when it ends. No fleet waits between tests.
Go Deeper by Plan Format
Both formats run natively. Gatling is driven from the portal or from a config file in your repo, JMeter from the portal.
JMeter Load Testing
Upload an existing .jmx, configure the run in eight fields, and read five reports per run. Portal-driven, no YAML.
JMeter on the cloudGatling Load Testing
Upload Java DSL simulations, pick a named test type, or version the run config in your repo through hyperexecute.yaml.
Gatling on the cloudAPI Load Testing
Protocol-level load against your endpoints, with test data split across generators and per-endpoint statistics.
API load testingAll three run protocol-level load, which measures what your services return under concurrent request volume. For what a browser renders, use Selenium or Playwright on the same platform. Capacity figures are guidance rather than a guarantee, since what each virtual user does decides the real number. Moving an existing managed setup across is a plan import, and the pricing page lists the plan ceilings and metering that decide which tier you land on.
Capacity by Plan
Start free with GoogleMetered per license and published on the Performance Testing (JMeter) pricing tab. Licenses stack, so two Pro licenses double the ceiling.
Free
Basic
Pro
Enterprise
Max concurrent virtual users
Up to 100
Up to 2,000
Up to 8,000
Customizable
Virtual user hours per month
100 VUH
2,000 VUH
8,000 VUH
Customizable
Load generators per license
1
Up to 2
Up to 20
Customizable
Max test duration
40 minutes
2 hours
6 hours
Customizable
Load generation regions
Single region
Single region
Single region
Multi-region
Billed annually
$0
$79 / month
$349 / month
Custom
Free
Max concurrent virtual users
Up to 100
Virtual user hours per month
100 VUH
Load generators per license
1
Max test duration
40 minutes
Load generation regions
Single region
Billed annually
$0
Basic
Max concurrent virtual users
Up to 2,000
Virtual user hours per month
2,000 VUH
Load generators per license
Up to 2
Max test duration
2 hours
Load generation regions
Single region
Billed annually
$79 / month
Pro
Max concurrent virtual users
Up to 8,000
Virtual user hours per month
8,000 VUH
Load generators per license
Up to 20
Max test duration
6 hours
Load generation regions
Single region
Billed annually
$349 / month
Enterprise
Max concurrent virtual users
Customizable
Virtual user hours per month
Customizable
Load generators per license
Customizable
Max test duration
Customizable
Load generation regions
Multi-region
Billed annually
Custom
Trigger a Load Test From Your CI Pipeline
Gatling runs from a hyperexecute.yaml committed next to your code, so the load shape is reviewable in a pull request. JMeter is portal-only and has no YAML path.
version: 0.2
runson: linux
vars:
INJECT_TYPE: rampUsers
USERS: 2000
RAMP_DURATION: 360
DURATION: 900
pre:
- mvn -B clean compile
testSuites:
- mvn gatling:test -Dgatling.simulationClass=CheckoutSimulation
-Dgatling.jvmArgs="-DinjectType=${INJECT_TYPE}
-Dusers=${USERS} -DrampDuration=${RAMP_DURATION}
-Dduration=${DURATION}"
uploadArtefacts:
- name: gatling-report
path:
- target/gatling/**
jobLabel: [Performance, Gatling]The sample toolchain is Gatling 3.9.5 with gatling-maven-plugin 4.4.0 on Java 17 and Maven 3.6+. The simulation reads its load shape from system properties, so the same file runs at ten intensities by changing variables. Gatling load testing covers the full configuration, and the HyperExecute performance setup guide has the reference for every field.
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