LoadTester

LoadTester is a modern, cloud-native HTTP and API load testing tool designed by Cloud Native d.o.o. to empower engineering teams with repeatable, high-fidelity performance checks. It eliminates the traditional overhead of setting up and managing load testing infrastructure, allowing teams to focus on what truly matters: understanding and improving application performance. The platform enables developers, QA engineers, and site reliability engineers (SREs) to run distributed load tests directly from their browser or integrate them seamlessly into their CI/CD pipelines. With live analytics, p95 and error-rate thresholds, scheduled baselines, and run-to-run comparisons, LoadTester provides a comprehensive view of system behavior under stress. The core value proposition is simplicity and speed: a cold start to the first request takes less than three seconds, and the platform can handle up to 10,000 virtual users (VUs) or 10,000 requests per second (RPS) per test. Teams can create a test scenario, hit run, and watch live metrics like throughput, latency, and error rates update in real time. After the test, they can review clean, actionable results, export them in PDF, CSV, or JSON formats, and compare runs to catch performance regressions before users ever notice. This collaborative approach ensures that every team member, from developers to product managers, can contribute to maintaining and improving application reliability without needing deep infrastructure expertise. The platform is built for scale, performance, and reliability, making it an essential tool for any team that wants to ship with confidence and prove capacity before launch.

Instant Execution and Distributed Workers

LoadTester removes the painful parts of performance testing by offering instant execution with distributed workers. Your team can start a load test in seconds, with a cold start time of less than three seconds from configuration to the first request. The platform automatically handles worker scaling and infrastructure coordination, so there is no need to set up, manage, or orchestrate any testing infrastructure. This means your team can focus on creating meaningful test scenarios and interpreting results rather than wrestling with deployment and scheduling headaches. The workers auto-scale based on the test requirements, and there is zero queue time, allowing for immediate feedback on code changes and system performance.

Live Analytics and Real-Time Telemetry

While a test is running, LoadTester provides live, streaming analytics that give you an immediate view of system behavior. You can watch key metrics such as requests per second (RPS), latency percentiles (p50, p95, p99), active virtual users, and error rates update in real time. This live data is displayed on intuitive charts, not as a wall of logs, enabling you to identify bottlenecks and anomalies as they happen. This feature is crucial for understanding the dynamic behavior of your application under load and for making quick, informed decisions about whether to stop a test or let it continue.

Smart Auto-Stop with Thresholds

LoadTester includes a powerful guardrail system with smart auto-stop capabilities. You can set custom thresholds for key performance indicators like p95 latency and error rates. If a test breaches these thresholds, the platform can automatically stop the run, preventing wasted resources and protecting your application from undue stress. Additionally, you can configure regression thresholds that compare results against a baseline run, and set up notifications via Slack and email when these thresholds are crossed. Webhooks can also be triggered upon test completion to integrate results into your release bots or other automated workflows, ensuring that performance regressions are caught and communicated instantly.

CI/CD Integration and Workflow Automation

The platform is built for seamless integration into modern development workflows. You can run tests directly from your CI/CD pipeline, making performance checks a standard part of every deploy. This automation ensures that performance regressions are caught early in the development cycle, before they reach production. LoadTester also supports scheduled tests, allowing you to set up nightly or hourly baselines that run automatically. The API access enables further customization and integration with your existing tools and scripts, making it easy to incorporate performance testing into your team's existing processes without disrupting their flow.

Performance Regression Detection in CI/CD

A primary use case for LoadTester is integrating performance checks into a continuous integration and continuous delivery (CI/CD) pipeline. Your team can configure a test to run automatically on every new build or deployment. By comparing the results against a stored baseline, LoadTester can alert the team via Slack or email if key metrics like p95 latency or error rates have regressed by a certain percentage. This proactive approach ensures that performance degradations are caught and addressed before they impact end users, fostering a culture of shared responsibility for application performance across the development and operations teams.

Capacity Planning and Spike Testing

Before a major product launch or a high-traffic event, engineering teams need to validate that their infrastructure can handle the expected load. LoadTester allows you to create spike tests that simulate a sudden surge in traffic. You can define a scenario with a high RPS or a large number of concurrent virtual users and watch the live analytics to see how your system responds. This use case helps teams identify bottlenecks, prove capacity, and make informed scaling decisions. By collaborating on these tests, the team can collectively ensure the application is resilient and ready for real-world traffic patterns.

API Endpoint Baseline Monitoring

For teams managing multiple microservices or APIs, maintaining consistent performance across all endpoints is critical. LoadTester enables you to set up scheduled baseline tests for each key API endpoint. These tests run automatically at defined intervals, such as every hour or every day, and store the results. By reviewing run-to-run comparisons, the team can quickly spot which endpoint has degraded and needs attention. This continuous monitoring approach turns performance testing from a one-time event into an ongoing, collaborative practice that helps maintain service level objectives (SLOs) and ensures a reliable user experience.

Pre-Release Quality Gates

Before merging a feature branch or deploying a new version to production, teams can use LoadTester as a quality gate. A test can be configured with strict thresholds that must be met for the release to proceed. For example, the p95 latency must be under 400ms, and the error rate must be below 2%. If the test fails, the build can be automatically blocked, and the team is notified with a link to the detailed test results. This use case empowers the entire team to take ownership of performance, making it a shared goal rather than a bottleneck handled by a single specialist.

How do I start a load test with LoadTester?

Starting a load test is straightforward. From the LoadTester dashboard, click on "New Test." You will be prompted to give your test a name, choose the HTTP method (GET, POST, PUT, DELETE), and enter the target URL. Then, select your test mode: either Virtual Users (VUs) or Requests Per Second (RPS). Set your desired rate and duration, and click "Launch." The test will start in seconds, and you will be taken to a live streaming view where you can watch metrics like RPS, latency, and errors update in real time. No infrastructure setup is required.

Can I integrate LoadTester with my CI/CD pipeline?

Yes, LoadTester is built for CI/CD integration. You can run tests from your CI/CD pipeline using API access or by configuring webhooks. This allows you to automate performance checks on every deploy or build. You can set thresholds that act as quality gates, automatically failing the pipeline if performance regressions are detected. The platform also supports scheduled tests, which is useful for nightly baseline runs. Detailed documentation and API endpoints are available to help you set up these integrations smoothly.

What metrics can I see during a live test?

During a live test, LoadTester provides a comprehensive set of real-time metrics. You can see Requests Per Second (RPS), latency percentiles including p50, p95, and p99, the number of active virtual users, and the total error count. These metrics are displayed on live, updating charts, allowing you to observe trends and anomalies as they happen. After the test is complete, you can review a clear summary that includes total requests, average latency, data sent, and data received, and you can export the results in PDF, CSV, or JSON formats.

How does LoadTester handle test failures or threshold breaches?

LoadTester features a smart auto-stop system. When you create a test, you can set custom thresholds for metrics like p95 latency and error rate. If the test breaches these thresholds during execution, the platform can automatically stop the test to prevent further resource consumption or application stress. Additionally, you can configure regression thresholds that compare results to a previous baseline run. When a threshold is breached, notifications can be sent via Slack and email, and a webhook can be triggered to integrate with your release bots or other automated workflows.