LoadTester

LoadTester is a transformative, game-changing modern load testing tool designed to unlock the full potential of your engineering team by eliminating the traditional burdens of performance testing. Built by Cloud Native d.o.o., this powerful platform enables developers and teams to run comprehensive HTTP and API load tests without the need to set up, manage, or maintain any load testing infrastructure. LoadTester is purpose-built for engineering teams that demand repeatable, reliable performance checks and want to catch regressions before users ever notice a slowdown. The platform allows you to create a test, choose between virtual users or requests per second, monitor live latency and error rates, review completed results, and compare runs side by side. With the ability to run distributed load tests directly from your browser or seamlessly integrate into your CI/CD pipeline, LoadTester provides live analytics including p95 and error-rate thresholds, scheduled baselines, and run-to-run comparisons. It supports exports, scheduled tests, API access, and workflow integrations, making it the ideal solution for teams that want simple, repeatable performance checks without any infrastructure to manage. With a free plan available, a cold start time of under three seconds, and the capacity to handle up to ten thousand requests per second and ten thousand virtual users, LoadTester is built for scale, performance, and reliability, transforming how teams approach application performance testing.

Instant Execution, Distributed by Default

LoadTester revolutionizes the way you launch performance tests by providing instant execution that is distributed by default. You can start distributed load tests in seconds without any infrastructure setup, worker orchestration, or scheduling headaches. This game-changing feature allows your team to focus entirely on results and analysis while LoadTester handles worker scaling, infrastructure coordination, and execution flow automatically. With a boot time of under three seconds, auto-scaling workers, and zero queue time, you can launch tests immediately and see results in real time, unlocking unprecedented efficiency in your performance testing workflow.

Live Analytics and Real-Time Telemetry

Transform your testing experience with LoadTester's live analytics and real-time telemetry capabilities. While your test is running, you can watch requests, latency, failures, throughput, and bottlenecks update in real time through intuitive live charts. This feature provides clear visibility into throughput, latency, active users, and errors during the run, allowing you to make immediate, data-driven decisions. The live dashboard displays critical metrics including RPS, p50, p95, and p99 latency, success rates, and error counts, all updating continuously. This transformative approach means you are not waiting five minutes after the run to see what happened; you are watching the performance story unfold in real time.

Smart Auto-Stop with Threshold Guardrails

LoadTester empowers you with intelligent guardrails through its smart auto-stop feature that automatically halts tests when predefined thresholds are breached. You can set failure or latency thresholds that trigger automatic test termination, preventing wasted resources and protecting your systems from unnecessary stress. This game-changing capability includes the ability to set p95 latency limits, error rate thresholds, and regression detection against baselines. When thresholds are breached, LoadTester can automatically stop the test and send notifications to Slack and email, while also triggering webhooks for integration with your release bot or other workflow tools. This ensures you ship with confidence and prove capacity before every launch.

CI/CD Ready with Webhooks and Alerts

Unlock the full potential of automated performance testing with LoadTester's comprehensive CI/CD integration capabilities. The platform is designed to run tests on every deployment, with webhooks, Slack alerts, and email notifications ensuring your team stays informed. You can schedule tests to run automatically at specific times, integrate directly into your CI/CD pipeline, and receive instant notifications when performance regressions are detected. This transformative feature enables you to catch performance issues before they reach production, integrate performance checks into your development workflow seamlessly, and maintain consistent performance standards across every release cycle without manual intervention.

Pre-Release Performance Validation

Transform your release process by using LoadTester to validate application performance before every deployment. Engineering teams can create comprehensive load tests that simulate real-world traffic patterns against staging or pre-production environments. By running these tests as part of the CI/CD pipeline, teams can automatically detect performance regressions, identify bottlenecks, and ensure that new code changes do not degrade application responsiveness. This game-changing use case allows you to catch issues like increased latency, higher error rates, or throughput limitations before they impact end users, giving you the confidence to deploy with the knowledge that your application will perform as expected under load.

API Endpoint Stress Testing

LoadTester revolutionizes how teams stress test critical API endpoints by providing the ability to simulate high-volume traffic against specific routes. Developers can target individual API endpoints such as checkout processes, authentication flows, or search functionality and observe how they behave under extreme load conditions. With the ability to configure virtual users or requests per second, set test durations, and monitor live metrics including p95 latency and error rates, teams can identify exactly where their APIs start to degrade. This transformative use case enables you to prove capacity, establish performance baselines, and ensure that your most critical endpoints can handle peak traffic without failure.

Scheduled Baseline Performance Monitoring

Unlock the power of continuous performance monitoring by scheduling regular baseline tests with LoadTester. Teams can set up daily or hourly tests that run automatically against production or staging environments, establishing a historical record of application performance over time. This game-changing approach allows you to track performance trends, detect gradual degradation before it becomes critical, and compare current run results against historical baselines. When regression thresholds are breached, LoadTester automatically notifies the team via Slack or email, enabling proactive performance management. This use case transforms performance testing from a one-time activity into an ongoing, automated process that protects application quality continuously.

Capacity Planning and Scalability Analysis

LoadTester empowers engineering teams to conduct comprehensive capacity planning and scalability analysis with unprecedented ease. By running tests with increasing load levels, teams can determine the maximum throughput their application can handle, identify the point at which performance degrades, and understand how their system scales under stress. This transformative use case allows you to simulate traffic spikes, test auto-scaling configurations, and validate that your infrastructure can handle projected growth. The detailed results, including total requests, average latency, p95 and p99 metrics, and data transfer statistics, provide the concrete data needed to make informed infrastructure decisions, plan for future capacity needs, and ensure your application is ready for any traffic scenario.

How does LoadTester handle infrastructure and worker scaling?

LoadTester eliminates all infrastructure management concerns by handling worker scaling and coordination automatically. When you launch a test, the platform dispatches workers instantly with a cold start time of under three seconds. Workers auto-scale based on the test requirements, and there is no queue time before your test begins. You never need to provision, configure, or manage any infrastructure. LoadTester handles all the underlying orchestration, allowing your team to focus entirely on running tests and analyzing results without any operational overhead.

Can I integrate LoadTester into my existing CI/CD pipeline?

Yes, LoadTester is designed specifically for seamless CI/CD integration. The platform provides API access and webhook support that allows you to trigger load tests automatically as part of your deployment pipeline. You can configure tests to run on every deploy, set up scheduled tests for nightly or hourly runs, and receive notifications via Slack and email when tests complete or when thresholds are breached. This integration enables you to catch performance regressions automatically before they reach production, making performance testing an integral part of your development workflow.

What metrics can I monitor during a live test run?

During a live test run, LoadTester provides comprehensive real-time metrics including requests per second (RPS), p50, p95, and p99 latency measurements, active virtual users, error counts and rates, and throughput data. The live dashboard displays these metrics through intuitive charts that update continuously during the run. You can also see the latency distribution over the last sixty seconds, track success rates, and monitor data sent and received. After the test completes, you can review detailed summaries including total requests, average latency, and export the results in PDF, CSV, or JSON formats.

What happens when a test exceeds my defined thresholds?

LoadTester provides smart auto-stop functionality that automatically terminates tests when predefined thresholds are breached. You can configure thresholds for p95 latency limits, error rate percentages, and regression detection compared to historical baselines. When a threshold is exceeded, LoadTester can stop the test immediately to prevent unnecessary system stress and send notifications via Slack and email. Additionally, the platform can trigger webhooks to integrate with your release bot or other workflow automation tools, ensuring your team is immediately alerted to performance issues.