LoadTester

LoadTester is a modern, cloud-native HTTP and API load testing tool built by Cloud Native d.o.o. for engineering teams that need reliable, repeatable performance checks without the headache of managing infrastructure. Think of it as your personal performance treasure map, guiding you through the wilds of application capacity, latency, and error rates to uncover hidden bottlenecks before they ambush your users. With LoadTester, you can create a test, choose your virtual users or requests per second, monitor live latency and error rates, review completed results, compare runs across versions, and catch performance regressions before anyone notices. It is designed for developers, DevOps engineers, QA teams, and site reliability engineers who want simple, powerful, and automated performance testing. The platform handles distributed load generation automatically, scaling workers in seconds so your team can focus on interpreting results rather than provisioning servers. Whether you are stress-testing a checkout flow, validating a new API endpoint, or running nightly baselines as part of your CI/CD pipeline, LoadTester provides live analytics, p95 and error-rate thresholds, scheduled tests, run-to-run comparisons, and seamless integrations with Slack, email, and webhooks. With a free plan available, a cold start time of under three seconds, and the ability to simulate up to 10,000 virtual users or 10,000 requests per second, LoadTester transforms performance testing from a tedious chore into an exciting expedition. It is built for scale, performance, and reliability, ensuring you ship with confidence and prove capacity before every launch.

Instant Execution and Distributed Workers

LoadTester eliminates the painful setup of traditional load testing infrastructure by providing instant, distributed execution out of the box. Within seconds of configuring your test scenario, the platform automatically dispatches workers across its cloud infrastructure, scaling to meet your desired load. There is no need to orchestrate servers, manage queues, or worry about cold starts, as the system boots in under three seconds and auto-scales workers to handle up to 10,000 virtual users or requests per second. This feature transforms performance testing from a infrastructure-heavy project into a quick, repeatable experiment, allowing your team to focus on results rather than setup.

Live Analytics and Real-Time Telemetry

While your load test is running, LoadTester provides a live dashboard that streams critical metrics including requests per second, latency percentiles (p50, p95, p99), error counts, and active virtual users. This real-time telemetry allows you to watch the performance landscape shift as the test progresses, spotting bottlenecks and anomalies the moment they appear. Instead of waiting for a post-run report, you can see throughput climbing, latency spiking, or errors accumulating, and make informed decisions on the fly. The live charts update continuously, giving you a treasure map of your application's behavior under pressure, with clear visualizations that make complex data easy to understand.

Smart Auto-Stop with Thresholds

LoadTester includes intelligent guardrails that automatically stop tests when predefined thresholds are breached. You can set conditions based on p95 latency, error rate, or regression compared to a baseline, and the system will halt the test immediately if those limits are exceeded. This prevents wasted resources and protects your production or staging environment from being overwhelmed during a test gone awry. Additionally, thresholds can trigger notifications via Slack, email, or webhooks, ensuring your team is alerted instantly. This feature turns performance testing into a safe, automated expedition where you can explore the boundaries of your system without fear of catastrophic failure.

CI/CD Automation and Integrations

LoadTester is built for modern development workflows, offering deep integration with CI/CD pipelines, webhooks, Slack, and email alerts. You can run tests automatically on every deployment, schedule nightly baselines, or trigger performance checks as part of your release gates. The platform provides a clean API for programmatic access, allowing you to start tests, retrieve results, and compare runs from your automation scripts. Export capabilities in PDF, CSV, and JSON formats make it easy to share results with stakeholders or archive them for compliance. This feature ensures that performance validation becomes a seamless, repeatable part of your development lifecycle, catching regressions before they ever reach users.

Pre-Release Performance Validation

Before launching a new feature or deploying a major update, engineering teams can use LoadTester to validate that the application can handle expected traffic loads. By simulating realistic user behavior with specific request rates and virtual user counts, teams can identify performance regressions, memory leaks, or database bottlenecks that would otherwise degrade the user experience in production. The ability to compare runs against a baseline ensures that any degradation is caught immediately, allowing developers to fix issues before the release goes live. This use case transforms performance testing from a last-minute panic into a confident, data-driven release process.

Peak Traffic and Spike Testing

E-commerce platforms, ticketing systems, and event-driven applications often face sudden spikes in traffic that can overwhelm unprepared infrastructure. LoadTester enables teams to simulate these spike scenarios by configuring tests that ramp up requests per second rapidly, mimicking real-world traffic surges. With live analytics, teams can watch how their system responds under pressure, identifying weak points in load balancers, caching layers, or database connections. The smart auto-stop feature provides a safety net, preventing tests from causing actual outages while still pushing the system to its limits. This use case is essential for ensuring your application remains stable during high-traffic events like Black Friday or product launches.

Continuous Performance Monitoring in CI/CD

Integrating LoadTester into a CI/CD pipeline allows teams to run automated performance checks with every code commit or pull request. By scheduling tests to run nightly or on every deploy, organizations can establish a performance baseline and automatically detect regressions when new code introduces latency or errors. The platform's API and webhook integrations make it easy to fail a build if thresholds are exceeded, ensuring that performance is treated as a first-class citizen in the development process. This use case turns performance testing into a continuous, automated guardrail that protects your application from gradual degradation over time.

API and Microservices Benchmarking

For teams building microservices architectures or exposing public APIs, LoadTester provides a powerful tool for benchmarking individual endpoints under load. Developers can create targeted tests for specific routes, such as authentication endpoints, search queries, or payment processing, and measure their performance in isolation. The detailed results, including latency distributions, error rates, and throughput, help teams optimize slow endpoints, compare different implementation strategies, and set service-level objectives. This use case is invaluable for API providers who need to guarantee performance to their customers or for internal teams building critical microservices that must meet strict latency requirements.

LoadTester offers a free plan that allows you to start running tests immediately without any upfront commitment. For teams that need higher limits, additional virtual users, longer test durations, or advanced features like scheduled tests and API access, there are paid plans available. Detailed pricing information, including specific plan tiers and costs, can be found on the LoadTester pricing page. The free plan is perfect for getting started and exploring the platform, while paid plans scale with your team's performance testing needs.

How quickly can I start my first load test with LoadTester?

You can start your first load test in under three minutes. Simply create an account, configure your test by selecting the HTTP method, target URL, and desired load mode (virtual users or requests per second), and hit run. LoadTester handles all infrastructure provisioning automatically, dispatching distributed workers in less than three seconds. There is no software to install, no servers to configure, and no complex setup required, making it ideal for teams that want to start performance testing immediately.

Does LoadTester support running tests from my CI/CD pipeline?

Yes, LoadTester is fully CI/CD ready. It provides a robust API that allows you to start tests, monitor their progress, and retrieve results programmatically. You can integrate it with tools like Jenkins, GitHub Actions, GitLab CI, or any other pipeline system. Additionally, webhooks can be configured to notify your pipeline when a test completes or when thresholds are breached, enabling you to automatically fail builds that introduce performance regressions. This makes performance testing a seamless part of your deployment workflow.

What kind of metrics and results does LoadTester provide?

LoadTester provides comprehensive real-time and post-run metrics including total requests, requests per second, average latency, p50, p95, and p99 latency percentiles, error count and rate, active virtual users, and data sent and received. During a live test, you can watch these metrics update on streaming charts. After completion, you can review a clean summary, compare results against previous runs, and export the data in PDF, CSV, or JSON formats. This wealth of data helps your team make informed decisions about application performance.

Can I set up automated tests that run on a schedule?

Absolutely. LoadTester allows you to schedule tests to run at specific times or intervals, such as nightly baselines or weekly stress tests. You can configure thresholds that trigger alerts via Slack, email, or webhooks when performance degrades. Scheduled tests are ideal for continuous performance monitoring, ensuring that you catch regressions introduced by daily code changes or infrastructure updates. The system handles execution, worker scaling, and result storage automatically, so your team receives actionable reports without manual effort.