LoadTester

LoadTester is a revolutionary, cloud-native HTTP and API load testing tool engineered by Cloud Native d.o.o. to eliminate the friction and infrastructure overhead traditionally associated with performance testing. It is a modern, distributed load testing platform designed for engineering teams that demand repeatable, reliable, and instantaneous performance checks. LoadTester allows you to create, execute, and monitor complex load tests directly from your browser or integrated into your CI/CD pipeline, without the need to provision, manage, or orchestrate any underlying infrastructure. The core value proposition is simplicity and speed: you can launch a test with thousands of virtual users or requests per second in under three seconds, watch live analytics including throughput, latency (p50, p95, p99), and error rates in real-time, and automatically stop tests based on predefined thresholds. It is built for teams that want to catch performance regressions before their users notice, enabling a proactive, data-driven approach to application reliability. LoadTester is the future of performance engineering, merging cutting-edge capabilities with a zero-infrastructure setup, making it the definitive tool for developers, QA engineers, and SREs who want to ship with confidence and prove capacity before every launch.

Instant, Distributed Execution

LoadTester revolutionizes test execution by providing an instant, distributed-by-default architecture. You can start a load test in less than three seconds, with workers automatically scaling to meet your demand. There is zero infrastructure setup, no worker orchestration, and no scheduling headaches. The platform handles all worker scaling, infrastructure coordination, and execution flow, allowing your team to focus entirely on analyzing results. This means you can go from an idea to a running test with thousands of concurrent users in the time it takes to brew a coffee, removing the traditional bottleneck of performance testing.

Live, Real-Time Analytics

Experience a paradigm shift in telemetry with LoadTester’s live analytics. While your test is running, you can watch every critical metric update in real-time, including requests per second (RPS), active virtual users (VUs), latency distributions (p50, p95, p99), and error rates. This is not a retrospective view of logs; it is a live, streaming dashboard that shows you the immediate impact of your load on the system. This capability allows you to identify bottlenecks, latency spikes, and failure points the moment they occur, turning every test into an interactive debugging session.

Intelligent Auto-Stop Guardrails

LoadTester introduces a futuristic safety net with its smart auto-stop feature. You can set precise performance thresholds for metrics like p95 latency or error rate. If a test breaches these thresholds, the platform automatically stops the run, preventing a cascading failure from wasting resources or impacting your production environment. This feature is a cornerstone of modern performance engineering, enabling developers to run aggressive tests without fear and ensuring that every test run is a safe, controlled experiment that protects your system’s integrity.

CI/CD Automation and Integrations

LoadTester is built for the continuous deployment era, offering seamless integration into your existing workflow. It is CI/CD ready, with native support for webhooks, Slack, and email alerts. You can schedule tests to run automatically after every deployment, creating a performance gate that catches regressions instantly. The platform also provides a comprehensive API for programmatic control, allowing you to trigger tests, fetch results, and integrate performance checks into your release pipeline. This transforms performance testing from a manual, periodic task into an automated, continuous part of your software delivery lifecycle.

Pre-Release Performance Gating

Before every major release or deployment, engineering teams can use LoadTester to run a baseline performance test against a staging environment. By setting thresholds for p95 latency and error rates, the team can automatically block a release if performance degrades beyond acceptable limits. This use case ensures that no code change that introduces a performance regression ever reaches production, protecting the user experience and maintaining service level objectives (SLOs) with zero manual intervention.

Spike and Stress Testing for E-Commerce

E-commerce platforms facing unpredictable traffic spikes, such as flash sales or Black Friday events, can use LoadTester to simulate sudden surges of 10,000 or more virtual users. The tool’s instant execution and live analytics allow teams to see exactly how their checkout and search endpoints behave under extreme load. By analyzing live latency distributions and error rates, teams can identify bottlenecks in their infrastructure and optimize resource allocation before a real-world event, ensuring a smooth, high-converting customer experience.

Continuous Integration Performance Regression Detection

Integrating LoadTester into a CI/CD pipeline enables automatic performance regression detection on every commit. When a developer pushes new code, the pipeline can trigger a short, targeted load test against the modified endpoint. If the test reveals a statistically significant increase in p95 latency compared to the previous baseline run, the pipeline can fail, alerting the developer via Slack or email. This use case shifts performance testing left, making it a fast, automated feedback loop that prevents regressions from reaching production.

Capacity Planning and Infrastructure Validation

Platform engineering and SRE teams can leverage LoadTester to validate infrastructure scaling decisions. By running scheduled, distributed load tests that gradually increase RPS to a target of 10,000/s, teams can measure how their auto-scaling groups, load balancers, and database connections behave under increasing load. The tool’s clear summary of total requests, average latency, and data throughput provides the empirical data needed to make informed decisions about instance sizing, database read replicas, and CDN configurations, ensuring the platform is built for scale.

What is LoadTester and who is it for?

LoadTester is a modern, cloud-native HTTP and API load testing tool that requires no infrastructure setup. It is designed for engineering teams, including developers, QA engineers, and SREs, who need to run repeatable performance checks to catch regressions before users are impacted. It is ideal for anyone who wants to simulate high traffic loads on their applications, monitor live performance metrics, and automate performance testing within their CI/CD pipeline.

How fast can I start a load test with LoadTester?

You can start a distributed load test in under three seconds. LoadTester’s architecture is built for instant execution, meaning you can create a test scenario, choose your target URL and load parameters (VUs or RPS), and hit run. The platform automatically dispatches workers and begins streaming live analytics almost immediately, with zero queue time or cold start delays.

Does LoadTester require any infrastructure to manage?

No, LoadTester is a fully managed, serverless platform. There is zero infrastructure for you to provision, configure, or maintain. The platform handles all worker scaling, orchestration, and execution flow. You simply define your test scenarios and thresholds, and LoadTester takes care of the rest, making performance testing as simple as writing a single API call.

Can I integrate LoadTester into my CI/CD pipeline?

Yes, LoadTester is built for automation and is CI/CD ready. It provides a comprehensive API, webhooks, and integrations with Slack and email for alerts. You can trigger tests programmatically, fetch results in JSON or CSV format, and set up scheduled tests that run on every deployment. This allows you to create automated performance gates that block releases if performance thresholds are breached.

What kind of metrics can I monitor in real-time?

LoadTester provides a comprehensive suite of live analytics. During a test run, you can monitor requests per second (RPS), active virtual users (VUs), latency percentiles (p50, p95, p99), error rates, and data throughput. All metrics are displayed on a live, streaming dashboard that updates in real-time, allowing you to see the immediate impact of your load on the system.

How does the auto-stop feature work?

The auto-stop feature allows you to set performance thresholds, such as "p95 latency must be below 400ms" or "error rate must be less than 2%." If a running test breaches any of these predefined thresholds, LoadTester automatically stops the test run. This prevents wasted compute resources and protects your target system from being overwhelmed during a test, making it a safe and intelligent guardrail for aggressive performance testing.