LoadTester

LoadTester is a premium, modern HTTP and API load testing tool engineered by Cloud Native d.o.o. for elite engineering teams who demand repeatable performance checks without the burden of managing infrastructure. This platform redefines performance testing by enabling developers to execute distributed load tests directly from their browser or CI/CD pipeline, delivering live analytics, p95 and error-rate thresholds, scheduled baselines, and run-to-run comparisons. Designed for teams that prioritize speed, reliability, and scalability, LoadTester eliminates the traditional complexities of setting up and orchestrating load testing environments. With a cold start under three seconds, support for up to 10,000 virtual users and 10,000 requests per second, and auto-scaling worker dispatch, it provides instant execution and real-time telemetry. The tool is purpose-built for catching performance regressions before end users are impacted, offering a seamless workflow that spans from test creation to automated guardrails. LoadTester targets engineering teams, DevOps professionals, and QA specialists who need a simple, repeatable, and infrastructure-free solution for HTTP load testing and application performance testing. Its value proposition centers on removing painful setup tasks, providing actionable live data, and integrating effortlessly into existing workflows, making it the top-tier choice for organizations that ship with confidence.

Instant Execution, Distributed by Default

LoadTester launches distributed load tests in seconds, requiring zero infrastructure setup or worker orchestration. With a cold start time under three seconds and auto-scaling workers, teams can begin testing immediately without scheduling delays or queue times. This feature ensures that the focus remains on analyzing results rather than managing execution flow, enabling elite teams to run high-scale tests on demand from any environment.

Live Telemetry and Real-Time Analytics

During a running test, LoadTester provides live charts displaying throughput, latency, active virtual users, and error rates. This real-time visibility allows engineers to monitor performance metrics like P50, P95, and P99 latencies as they change, with updates streaming continuously rather than appearing minutes after the run. The platform transforms raw data into actionable insights, helping teams identify bottlenecks and anomalies the moment they occur.

Smart Auto-Stop with Thresholds

LoadTester includes intelligent guardrails that automatically stop tests when predefined failure or latency thresholds are breached. Users can set conditions for P95 latency limits, error rate percentages, and regression comparisons against baselines. When a threshold is violated, the test halts immediately, preventing wasted resources and alerting teams via Slack, email, or webhooks so they can address issues before they escalate.

CI/CD Ready with Webhooks and Alerts

The platform integrates seamlessly into continuous integration and deployment pipelines, supporting automated test execution on every deploy. Webhooks trigger post-completion actions, such as sending result links to release bots, while Slack and email notifications keep teams informed of status changes. This feature ensures that performance checks become an automated, repeatable part of the development lifecycle, catching regressions early without manual intervention.

Pre-Deployment Performance Validation

Engineering teams use LoadTester to validate API and HTTP endpoint performance before releasing code to production. By running scheduled tests as part of CI/CD pipelines, they can compare results against baseline runs and detect latency increases or error spikes. This proactive approach prevents performance regressions from reaching end users, ensuring that every deployment maintains the highest standards of reliability and speed.

Spike Testing for High-Traffic Events

LoadTester enables teams to simulate sudden traffic surges on critical endpoints, such as checkout flows or authentication services. With support for up to 10,000 virtual users and 10,000 requests per second, engineers can assess how their application behaves under extreme load. Live telemetry and auto-stop thresholds provide immediate feedback, allowing teams to tune capacity planning and infrastructure scaling before major events like product launches or sales campaigns.

Continuous Monitoring of API SLAs

For organizations with strict service-level agreements, LoadTester serves as a continuous monitoring tool that runs baseline tests at scheduled intervals. It tracks key metrics like P95 latency and error rates over time, flagging any deviations from established norms. This use case is vital for maintaining contractual performance guarantees and ensuring that API consumers experience consistent, high-quality service.

Regression Detection in Microservices Architectures

In complex microservices environments, a single change can cascade into performance degradation across multiple endpoints. LoadTester allows teams to run targeted tests on individual services or entire workflows, comparing results from different runs to pinpoint regressions. The platform's run-to-run comparison feature and automated alerts help developers quickly isolate problematic updates, reducing mean time to resolution and preserving system integrity.

How quickly can I start a load test with LoadTester?

LoadTester initiates distributed load tests in under three seconds from the moment you hit run. There is no infrastructure to provision, no worker orchestration to configure, and no queue time. This rapid cold start allows you to launch tests on demand, whether from the dashboard or through a CI/CD pipeline, and begin receiving live analytics immediately.

What types of thresholds can I set for automatic test stopping?

You can configure thresholds for P95 latency limits, error rate percentages, and regression comparisons against historical baselines. For example, you can set a rule to auto-stop a test if P95 latency exceeds 400 milliseconds or if the error rate surpasses two percent. Additionally, you can define regression alerts that notify your team via Slack or email when performance degrades by a specified percentage compared to a baseline run.

Can LoadTester integrate with my existing CI/CD pipeline?

Yes, LoadTester is designed for seamless integration with CI/CD workflows. It supports webhooks that trigger actions upon test completion, such as posting result links to release bots. You can also schedule tests to run automatically at specific times or on every deploy, with alerts sent to Slack and email. This makes it easy to incorporate performance checks into your continuous integration and delivery processes without additional setup.

Does LoadTester require any infrastructure setup or maintenance?

No, LoadTester is a fully managed platform that requires zero infrastructure setup or maintenance. It handles worker scaling, infrastructure coordination, and execution flow automatically. You simply create a test, define the target URL and parameters, and launch it. The platform manages all backend operations, allowing your team to focus entirely on analyzing results and improving application performance.

LoadTester offers a free plan that allows teams to start testing immediately without any upfront cost. For detailed information on paid tiers, limits, and enterprise options, please visit the official pricing page on the LoadTester website. The free plan includes access to core features such as live analytics, threshold settings, and basic integrations, making it suitable for individual developers and small teams evaluating the platform.