LoadTester

LoadTester is a modern, cloud-native HTTP and API load testing tool built by Cloud Native d.o.o. that eliminates the biggest headache in performance testing: infrastructure management. It is designed for engineering teams who need repeatable, reliable performance checks without the overhead of setting up, configuring, and maintaining complex load testing infrastructure. With LoadTester, you can create a test, choose between virtual users (VUs) or requests per second (RPS), and launch it instantly from your browser or your CI/CD pipeline. The platform handles everything else, including distributed worker scaling, real-time data streaming, and automatic test execution. Live analytics let you monitor throughput, latency (p50, p95, p99), and error rates while the test is running, so you can spot problems the moment they appear. After the test, you get a clean, shareable summary with total requests, average latency, and data transfer metrics. You can export results as PDF, CSV, or JSON, compare runs to catch performance regressions, and set thresholds that automatically stop tests when things go wrong. LoadTester is built for scale, handling up to 10,000 RPS and 10,000 concurrent VUs, with a cold start to first request in under 3 seconds. It is perfect for developers, QA engineers, SREs, and platform teams who want simple, repeatable performance checks that fit seamlessly into their existing workflows.

Instant Distributed Execution

Launch distributed load tests in seconds without any infrastructure setup, worker orchestration, or scheduling headaches. LoadTester automatically dispatches workers and scales them based on your test requirements, so your team can focus on analyzing results instead of managing servers. With a cold start time of under 3 seconds and zero queue time, you can go from idea to live test data almost instantly.

Live Real-Time Analytics

Watch your test unfold with live charts that update during the run. Monitor throughput (RPS), latency percentiles (p50, p95, p99), active virtual users, and error rates in real time. This immediate feedback loop lets you spot bottlenecks and performance degradations the moment they happen, rather than waiting for a post-run report. You can pause or stop the test at any time based on what you see.

Smart Auto-Stop Thresholds

Set intelligent guardrails that automatically stop tests when performance falls outside acceptable parameters. Configure thresholds for p95 latency, error rate percentage, and regression comparisons against baselines. When a threshold is breached, LoadTester can auto-stop the test, notify your team via Slack or email, and even trigger a webhook to your release bot. This prevents bad code from ever reaching production.

CI/CD Ready Integrations

Integrate performance testing directly into your deployment pipeline with first-class CI/CD support. Run tests on every deploy, every commit, or on a schedule. LoadTester provides webhooks, Slack and email alerts, and API access for programmatic control. This makes it easy to catch performance regressions before your users notice them, turning performance testing into an automated, repeatable part of your development lifecycle.

Pre-Release Performance Gatekeeping

Before every major release, run a full suite of load tests against your critical endpoints to ensure new code doesn't introduce performance regressions. Set thresholds that compare current runs against baselines, and automatically block deployments if p95 latency increases by more than 15% or error rates spike. This gives your team confidence that every release is performance-verified before it hits production.

Spike and Stress Testing for E-Commerce

Simulate Black Friday traffic, flash sales, or product launches by running spike tests with up to 10,000 concurrent virtual users or 10,000 requests per second. Watch live latency and error rate charts to see exactly how your checkout, search, and authentication endpoints handle the load. Use the results to prove capacity, identify bottlenecks, and scale your infrastructure before the real traffic arrives.

Scheduled Baseline Monitoring

Set up daily or hourly scheduled tests that run against your production or staging environments to establish performance baselines over time. Compare each run against historical data to detect gradual performance degradation caused by code changes, database bloat, or infrastructure drift. Receive automatic Slack or email alerts when a run deviates from the baseline, so you can investigate before users complain.

API Contract and SLA Validation

Validate that your external APIs meet their performance SLAs by running targeted tests against specific endpoints with defined latency and error rate thresholds. Export results as PDF or CSV to share with stakeholders or include in compliance reports. Use the webhook integration to automatically post pass/fail results to your incident management or release coordination tools.

How does LoadTester handle infrastructure and scaling?

LoadTester is fully managed, so you never have to provision, configure, or maintain any infrastructure. When you launch a test, the platform automatically dispatches distributed workers and scales them based on your test parameters. You simply choose your target URL, select the mode (VUs or RPS), set the rate and duration, and hit run. The cold start to first request takes less than 3 seconds.

Can I integrate LoadTester with my CI/CD pipeline?

Absolutely! LoadTester is built for automation and integrates seamlessly with your CI/CD pipeline. You can trigger tests via the API, set up webhooks to receive results, and configure thresholds that auto-stop tests on failure. This allows you to run performance checks on every deploy or commit, making performance testing a repeatable and automated part of your development workflow.

What kind of analytics and reporting does LoadTester provide?

LoadTester provides live, real-time analytics during the test run, including throughput (RPS), latency percentiles (p50, p95, p99), active virtual users, and error rates. After the test, you get a clean summary with total requests, average latency, data sent and received. You can export results as PDF, CSV, or JSON for sharing with your team, and compare runs to track performance trends over time.

What happens when a threshold is breached during a test?

LoadTester's smart auto-stop feature allows you to set thresholds for p95 latency, error rate, and regression vs. baseline. When a threshold is breached, the test can automatically stop to prevent wasted resources and false data. You can also configure notifications via Slack and email, and trigger a webhook to your release bot or incident management system, so your team is immediately alerted to the issue.