
Loadmill
Software testing tools
Mobile app testing software
Automation testing tools
Load testing tools
Application development software
Mobile development software
DevOps software
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What is Loadmill
Loadmill is a software testing platform that generates and runs API and end-to-end performance tests based on real user traffic. It is used by engineering, QA, and DevOps teams to validate application behavior under load and to detect regressions in CI/CD pipelines. The product focuses on turning production or staging traffic into maintainable test scenarios and executing them at scale with reporting and integrations.
Traffic-based test generation
Loadmill can derive test scenarios from captured application traffic, which reduces the need to script tests from scratch. This approach helps teams align performance tests with real usage patterns rather than synthetic assumptions. It is particularly useful for APIs and microservices where request/response flows are well-defined.
CI/CD-oriented execution model
The platform is designed to run tests as part of automated delivery workflows and to provide pass/fail signals and reports. This supports regression detection when code changes affect latency, error rates, or throughput. Teams can use it to standardize performance checks alongside functional automation.
API and E2E coverage
Loadmill supports performance testing at the API layer and can extend scenarios to broader end-to-end flows. This allows teams to test individual services as well as user journeys that span multiple components. It helps connect load testing results to application behavior rather than only infrastructure metrics.
Best fit for web/API traffic
The traffic-to-test approach is most straightforward when applications expose clear HTTP/API interactions. For highly stateful, non-HTTP, or proprietary protocol workloads, teams may need additional tooling or custom workarounds. Mobile-specific performance testing may also require complementary device-focused solutions depending on the app architecture.
Requires representative traffic sources
To generate meaningful tests, teams need access to production or realistic staging traffic and the ability to capture it safely. In regulated environments, data handling and masking requirements can add setup complexity. If traffic is not representative, generated tests may miss critical edge cases.
Learning curve for test maintenance
Even when tests are generated automatically, teams still need processes for versioning, reviewing, and maintaining scenarios as APIs evolve. Debugging failures can require understanding both the captured flows and the system under test. Organizations without established performance engineering practices may need time to operationalize it.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Free Trial | Free (14-day trial) — 100 test runs/month | Community support; Request access via site; appears to be an introductory/trial offering. |
| Team | Contact sales / Contact Us | Up to 5,000 test runs per month; CI integration; Git integration; Chat support; Schedule a demo. |
| Business | Contact sales / Contact Us | Up to 25,000 test runs per month; All Team features plus on-prem test runner, IP whitelisting, sandboxed code execution, Slack Connect support; Schedule a demo. |
| Enterprise | Contact sales / Contact Us | Unlimited API test runs/month; Unlimited data retention; Advanced security features; Advanced reporting; Platinum/SLA support; 30-day Enterprise POC available. |