LoadTester

LoadTester is the next-generation HTTP and API load testing tool engineered for engineering teams who refuse to compromise on speed, simplicity, and scalability. Built by Cloud Native d.o.o., this modern platform redefines how developers approach performance testing by eliminating the need to provision, configure, or manage any infrastructure. Whether you are a startup shipping your first endpoint or an enterprise running thousands of distributed workers, LoadTester delivers instant execution, live analytics, and intelligent guardrails out of the box. The product is designed for teams that want repeatable performance checks embedded directly into their workflow—from the browser to CI/CD pipelines. With a cold start under three seconds, support for up to 10,000 virtual users and 10,000 requests per second, and automatic scaling of workers, LoadTester ensures your tests begin immediately and run reliably. It provides real-time telemetry on throughput, latency (p50, p95, p99), error rates, and active users, allowing you to catch regressions before your users ever notice. The platform also offers run-to-run comparisons, scheduled baselines, threshold-based auto-stop, and seamless integrations with Slack, email, and webhooks. For teams that demand exportable results in PDF, CSV, or JSON formats, plus API access for custom automation, LoadTester is the early-adopter’s choice for performance testing without the overhead. It is the tool for the forward-thinking engineer who values clean data, instant feedback, and zero infrastructure drama.

Instant Distributed Execution

Launch distributed load tests in under three seconds without any infrastructure setup, worker orchestration, or scheduling complexity. LoadTester automatically scales workers across regions, handles queue management with zero latency, and lets you focus on interpreting results rather than managing hardware. Whether you choose virtual users (VUs) or requests per second (RPS) mode, the platform boots workers instantly and dispatches them to your target endpoints. This feature is built for teams that need to run ad-hoc tests during development or trigger automated checks from CI/CD pipelines without waiting for provisioning. The result is a frictionless experience where your first test starts faster than you can brew a coffee.

Live Real-Time Analytics

Watch every metric that matters update in real time as your test runs. LoadTester streams throughput (RPS), latency percentiles (p50, p95, p99), error counts, and active virtual users directly to your dashboard with sub-second latency. Unlike traditional tools that show you a wall of logs after the run, this feature provides a live latency distribution chart that lets you spot performance anomalies the moment they occur. You can monitor bottlenecks, see error spikes instantly, and make informed decisions on the fly. The interface is clean, visual, and actionable—designed for engineers who want to understand system behavior while the load is still being applied.

Smart Thresholds and Auto-Stop

Define intelligent guardrails that automatically stop your test when performance degrades beyond acceptable limits. Set thresholds for p95 latency, error rate percentages, or regression against a baseline run, and LoadTester will halt execution immediately when breached. This prevents wasted time and resources on tests that have already failed their objectives. You can also configure auto-stop to trigger notifications via Slack, email, or webhooks, ensuring your team is alerted the moment a threshold is crossed. For CI/CD environments, this feature acts as a gatekeeper—blocking deploys that introduce performance regressions before they ever reach production.

Seamless Automation and Integrations

Embed performance testing into your existing workflow with CI/CD readiness, webhooks, Slack alerts, and email notifications. LoadTester provides a full API for custom integrations, allowing you to trigger tests from any pipeline, retrieve results programmatically, and hook into release bots or monitoring systems. Schedule tests to run daily, hourly, or on specific events, and compare runs automatically to catch regressions. The platform also supports export to PDF, CSV, and JSON, making it easy to share results with stakeholders or archive them for compliance. For teams that want repeatable, automated performance checks without manual intervention, this feature transforms load testing from a chore into a seamless part of your development lifecycle.

Pre-Release Performance Gates

Integrate LoadTester into your CI/CD pipeline to automatically run load tests before every deployment. Set thresholds for p95 latency and error rate, and configure the pipeline to fail if those thresholds are breached. This ensures that no release with performance regressions makes it to production. Developers get immediate feedback on whether their code changes impact system throughput or response times, allowing them to fix issues before users are affected. The result is a culture of performance-aware development where every commit is validated against real-world load scenarios.

Spike Testing for Flash Sales and Events

Simulate sudden traffic spikes to validate that your application can handle peak demand during flash sales, product launches, or marketing campaigns. Use LoadTester’s RPS mode to generate a burst of requests at a specific rate, then watch live analytics to see how your system responds. Set auto-stop thresholds to catch failures early, and compare results against baseline runs to ensure capacity planning is accurate. This use case is critical for e-commerce, ticketing, and any platform where a sudden influx of users can make or break the user experience.

Baseline Performance Monitoring

Schedule recurring load tests to establish and maintain performance baselines for your critical endpoints. Run tests daily or weekly at the same time, and use LoadTester’s run-to-run comparison feature to detect gradual degradation. This proactive approach helps teams identify memory leaks, database slowdowns, or inefficient code changes before they become production incidents. With Slack and email alerts configured for regression thresholds, your team can respond to performance drift immediately, ensuring your application stays fast and reliable over time.

API Contract and SLAs Validation

Use LoadTester to verify that your APIs meet defined service-level agreements (SLAs) for latency and throughput. Create targeted tests for each endpoint, set precise thresholds for p95 and error rate, and run them on a schedule or on-demand. Export results as PDF reports to share with clients or internal stakeholders, proving compliance with contractual performance guarantees. This use case is essential for API providers, SaaS platforms, and any team that offers performance SLAs to their customers, as it provides auditable evidence of system behavior under load.

Do I need to set up any infrastructure to use LoadTester?

No, LoadTester is a fully managed platform that requires zero infrastructure setup. You simply create a test, choose your target URL, select a mode (VUs or RPS), and hit run. The platform automatically provisions distributed workers, scales them as needed, and handles all execution and monitoring. There is no need to install software, configure servers, or manage load generators.

Can I run LoadTester from my CI/CD pipeline?

Yes, LoadTester is designed for seamless CI/CD integration. You can trigger tests via API calls, set thresholds that determine pipeline pass or fail, and retrieve results programmatically. The platform supports webhooks for notifications and can be embedded into any modern CI/CD system like GitHub Actions, GitLab CI, Jenkins, or CircleCI.

What metrics are available during a live test?

During a live test, LoadTester streams real-time metrics including requests per second (RPS), latency percentiles (p50, p95, p99), total requests, error count and rate, active virtual users, and data sent/received. A latency distribution chart updates continuously, allowing you to visualize performance trends as the test progresses. All metrics are available on the live dashboard and can be exported after the run.

How do thresholds and auto-stop work?

You can define thresholds for p95 latency (e.g., p95 must be under 400ms), error rate (e.g., errors must be below 2%), or regression compared to a baseline run (e.g., +15% increase triggers alert). When a threshold is breached, LoadTester can automatically stop the test to prevent wasted resources and notify your team via Slack, email, or webhook. This feature acts as a smart guardrail for your performance testing.

LoadTester offers a free plan that includes access to core features with limited usage. For teams needing higher throughput, more concurrent tests, longer durations, and advanced integrations, paid plans are available starting at competitive monthly rates. The pricing is based on factors such as maximum RPS, number of virtual users, test duration, and additional team seats. For detailed pricing tiers and to compare plans, visit the LoadTester website or sign up for a free account to get started immediately.