LoadTester

LoadTester is a modern, cloud-native HTTP and API load testing tool designed to eliminate the complexity and overhead traditionally associated with performance testing. Built by Cloud Native d.o.o., it empowers engineering teams to run distributed load tests directly from their browser or CI/CD pipeline, without any infrastructure to provision or manage. Whether you are a solo developer validating a new endpoint or a large team enforcing performance regressions before every deployment, LoadTester provides the speed, reliability, and actionable insights you need to ship with confidence. The core value proposition is simple: set up a scenario, hit run, and watch live analytics including throughput, latency distributions (p50, p95, p99), error rates, and active virtual users update in real time. With a cold start time of under three seconds, support for up to 10,000 virtual users and 10,000 requests per second, and built-in guardrails like auto-stop on threshold breaches, LoadTester transforms performance testing from a painful, scheduled chore into an instant, repeatable, and empowering part of your development workflow. It is purpose-built for teams that want simple, repeatable performance checks without the platform ceremony, enabling them to catch regressions, prove capacity, and maintain reliability at scale.

Instant Distributed Execution

Start distributed load tests in seconds with no infrastructure setup or worker orchestration required. LoadTester automatically dispatches workers, scales them based on your test parameters, and begins executing your scenario with a cold start time of less than three seconds. This feature removes the traditional headaches of provisioning servers, managing queues, and scheduling execution, allowing your team to focus entirely on interpreting results and improving application performance.

Live Real-Time Analytics

Watch requests, latency, failures, throughput, and bottlenecks update in real time while your test is running. The live console displays critical metrics such as requests per second (RPS), p50, p95, and p99 latency, error counts, and active virtual users. Instead of waiting for a post-run report, you gain immediate visibility into how your application behaves under load, enabling you to spot anomalies and react instantly during the test.

Smart Auto-Stop with Thresholds

Set failure or latency thresholds that automatically stop tests when performance degrades beyond acceptable limits. You can define guardrails for p95 latency, error rate percentages, and regression baselines, with options to auto-stop on breach, notify Slack and email, or trigger webhooks. This feature ensures that problematic builds are caught immediately, preventing wasted resources and allowing your team to iterate faster without manual monitoring.

CI/CD Integrations and Automation

Run performance tests on every deploy with seamless integrations into your existing pipeline. LoadTester supports webhooks, Slack and email alerts, and API access, making it easy to embed performance checks into your release process. Scheduled tests allow you to establish nightly baselines or release gates, while run-to-run comparisons help you catch regressions before users notice. This automation transforms performance testing from a manual, periodic activity into an automated, continuous quality gate.

Pre-Deployment Performance Validation

Before shipping a new feature or deployment to production, engineering teams can run targeted load tests against staging or canary environments. By setting up a test that mimics expected traffic patterns and defining thresholds for p95 latency and error rates, teams can automatically validate that the new code does not introduce performance regressions. LoadTester's instant execution and CI/CD integration make this a frictionless part of the deployment pipeline, ensuring only performant code reaches users.

Capacity Planning and Spike Testing

When preparing for events like product launches, marketing campaigns, or seasonal traffic spikes, teams need to understand their application's breaking point. LoadTester enables users to create spike tests with high virtual user counts or requests per second to simulate worst-case scenarios. The live analytics and auto-stop thresholds provide immediate feedback on how the system handles sudden load, helping teams identify bottlenecks, scale resources proactively, and prove capacity before the event.

Baseline Monitoring and Regression Detection

Establishing a performance baseline for critical API endpoints is essential for long-term reliability. With LoadTester's scheduled tests and run-to-run comparison features, teams can run nightly baselines against key endpoints and automatically compare results. When a new deployment causes latency to increase by a defined percentage (e.g., 15%), the system can trigger alerts via Slack or email, enabling developers to investigate and fix the regression before it impacts users in production.

Collaborative Performance Reviews

During sprint reviews or incident post-mortems, teams need clear, shareable evidence of performance changes. LoadTester provides clean, actionable results including total requests, average latency, p95, data sent and received, and latency distribution charts. These results can be exported as PDF, CSV, or JSON, making it easy to share findings with stakeholders, document performance improvements, or include in release notes. The collaborative workflow ensures that performance data is accessible and understandable for the entire team.

LoadTester offers a free plan that allows you to start running performance tests immediately with no upfront cost. For teams that need higher limits, advanced features, or dedicated support, paid plans are available. Visit the LoadTester website to view the latest pricing tiers, limits, and feature comparisons.

What infrastructure do I need to set up to use LoadTester?

None. LoadTester is a fully managed, cloud-native platform that handles all infrastructure coordination, worker scaling, and execution flow. You do not need to provision any servers, manage queues, or orchestrate workers. Simply create a test, define your target URL and parameters, and click run. The system automatically dispatches distributed workers and begins executing your test in under three seconds.

Can I run load tests from my CI/CD pipeline?

Yes. LoadTester is designed for automation and integrates seamlessly with CI/CD pipelines via its API, webhooks, and scheduled test features. You can trigger tests on every deploy, set thresholds that auto-stop the pipeline on failure, and receive notifications via Slack or email. This allows you to enforce performance as a quality gate in your release process without manual intervention.

How does LoadTester handle test failures or performance regressions?

LoadTester includes smart auto-stop guardrails that allow you to define thresholds for metrics like p95 latency and error rate. When a threshold is breached during a test, the system can automatically stop the test, notify your team via Slack or email, and trigger a webhook. Additionally, run-to-run comparison features can detect regressions against a baseline and alert you if performance degrades by a specified percentage.

What types of tests can I create with LoadTester?

You can create HTTP and API load tests using GET, POST, PUT, and DELETE methods. Tests can be configured in either Virtual Users (VUs) mode or Requests Per Second (RPS) mode, with support for up to 10,000 VUs and 10,000 RPS. You define the target URL, rate, and duration, and LoadTester handles the rest. The platform is ideal for endpoint testing, spike testing, and baseline monitoring of RESTful APIs and web applications.