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.

Trusted by 3M+ users globally at

Microsoft
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"We have tripled our tests and are now executing tests in less than 2 hours with 78% Faster Test Execution"

Hrishi Potdar, Quality Engineering Architect

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GitHub
Best Egg

"We figured out a more efficient way to monitor system health and resolve failures earlier in lower environments."

Tenny, Engineering Operations Lead

Best Egg
Workday
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Louis Vuitton
NBCUniversal
City Furniture

"TestMu AI has significantly boosted our testing speed, is easy to implement, and provides exceptional support."

Nicholas Paulsen, Senior Quality Engineer

City Furniture
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Daniel de Bruijn, Quality Assurance Automation Engineer

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Estée Lauder
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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.

TestMu Plan FormatsPlan 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.
Choosing between a JMeter .jmx plan and a Gatling Java DSL simulation

TestMu Run At ScaleRun 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 Testing

What you set per run

Total Users, Ramp-up Time and Duration
Total Load Distribution, a percentage split per region
Split CSV, so generators do not replay the same rows
Machine count and Java version, 11 or 25
Static outbound IPs to reach a private staging endpoint
Load generators provisioned for a run and destroyed when it finishes

TestMu Load RegionsLoad 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 Testing

Available regions

East US (Richmond, Virginia) and West US 2 (Moses Lake, Washington)
Central India (Pune) and Southeast Asia (Singapore)
Brazil South (Sao Paulo State) and Mexico Central (Queretaro State)
Per-region response times from one run across East US, Central India and Southeast Asia

TestMu Run ReportsRun 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.
Live run dashboard showing active virtual users, response time percentiles and error rate

TestMu Compliance ReadyCompliance 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 Testing

What's protected?

TLS 1.2+ in transit, AES-256 at rest
SOC 2 Type 2 and GDPR compliant
Fresh VM per run, wiped after every session
Access controls and reviewed audit logs
Encryption, compliance and access-log controls applied to every performance run

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.

1

Upload the plan

A JMeter .jmx, folders included so CSV data files come with it, or a Gatling Java DSL simulation.

2

Set the load

Total Users, Ramp-up Time, Duration, and the percentage split across regions.

3

Run it

Generators are provisioned for this run, drive the load, then are destroyed.

4

Read the report

Percentiles, throughput, error rate and per-endpoint statistics, live as the run goes.

Included on Every Performance Run

Native Plan Formats

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

Protocol-Level Targets

HTTP and HTTPS, REST and SOAP, GraphQL, plus the databases and queues your samplers already drive.

Six Named Regions

Six Named Regions

East US, West US 2, Central India, Southeast Asia, Brazil South and Mexico Central, split by percentage.

CI Pipeline Trigger

CI Pipeline Trigger

Gatling runs from a hyperexecute.yaml in your repo, so load shape is reviewable in a pull request.

Percentile Reporting

Percentile Reporting

p50, p95 and p99 with throughput, error rate and per-endpoint statistics while the run is live.

Nothing Billed While Idle

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 cloud

Gatling 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 cloud

API Load Testing

Protocol-level load against your endpoints, with test data split across generators and per-endpoint statistics.

API load testing

All 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 Google

Metered 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

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.

Some Love from our Customers

As Best Egg expanded its product offerings and entered new markets, we knew our old testing infrastructure couldn’t keep up.
With support from Tenny Agustin, our Engineering Operations Lead, we modernized our approach with @testmuai see more >

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Excited to Share My Learning Journey with Kane AI & Lambda Tool!
I'm pleased to announce that I've recently gained hands-on experience exploring Kane AI through the Lambda Tool and it’s been a fantastic journey of upskilling!see more >

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See how @testmuai is #Futureready to enable blazing-fast test orchestration seamlessly integrated with organizations' existing CI/CD platforms, using #Microsoft Azure.

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