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Performance & Load Testing (AI)

Know Your Limits Before Your Users Do.

Distributed load testing with SLO enforcement, CI/CD gates, and real-time observability. AI-generated scripts, multi-protocol, zero-install extensions, and millions of VUs on your own infrastructure.

Need regression and functional testing? See QA Automation (AI) →

Performance & Load Testing (AI) ecosystem and delivery map

Five Load Profiles

Each profile answers a different performance question. Use one or chain them in a test plan.

Ramp

Gradually increase virtual users to a target load level. Use to find the breaking point and observe how performance degrades under rising traffic.

Flat

Sustain a constant number of virtual users for a defined duration. Use to establish a steady-state performance baseline.

Step

Increase load in discrete steps with hold periods between each. Use to identify the specific load level where performance begins to degrade.

Spike

Introduce a sudden burst of traffic above normal load. Use to validate how the system handles flash crowds and unexpected demand spikes.

Soak

Run a moderate load over an extended period (hours). Use to detect memory leaks, connection pool exhaustion, and resource degradation over time.

Custom profiles

Combine ramp + hold + ramp-down sequences into any shape you need

End-to-End Performance Testing Lifecycle

AI-native, multi-protocol, and self-hosted — across the full performance testing lifecycle.

Design & Create

AI Script Generation

Describe flows in plain English. AI generates full JS test scripts instantly with best practices, think time, data sources, and error handling.

HAR Import & Convert

Import any HAR file and convert it into a parameterized load test scenario in seconds. Get real-world traffic shapes without writing code.

Scenario Builder

Combine HTTP, WebSocket, and gRPC scenarios in one project. Reusable modules, variables, and environments built in.

Protocol & Extensions

Multi-Protocol Support

HTTP, WebSocket, and gRPC live side-by-side in the same test suite, run engine, and reporting pipeline.

Zero-Install Extensions

ctx.require() gives you faker, encode, assert, ml, csv, crypto, db, graphql, and more — zero npm install, works out of the box.

Custom Code & Logic

Write JS with full control. Reusable functions, data drivers, correlation, and advanced logic with built-in helpers.

Execute & Scale

Execute Tests

Run locally or in the cloud. Open-source engine with high performance, low overhead, and consistent results.

Distributed Execution

DISTRIBUTED_MODE=true adds worker nodes to scale to millions of VUs across regions and environments on your infrastructure.

Auto-Scaling Workers

Dynamic load generator scaling for ramp-up, soak, stress, spike, and stability tests with precise VU scheduling.

Analyze & Validate

Assertions & Checks

ctx.check() provides named assertions with pass/fail rates, thresholds, and rich context in reports.

Custom Metrics

ctx.metric.add() sends custom business metrics into results as structured time-series data.

Grouping & Insights

ctx.group() organizes steps and metrics for clear insights into performance by feature, flow, or transaction.

Secure & Govern

Native TLS & Security

SSL_CERT + SSL_KEY enables HTTPS instantly. ALLOW_INSECURE_TLS=true handles self-signed certs across HTTP, WebSocket, and gRPC.

Access & Auth

OIDC/SSO, role-based access control, API tokens, and team isolation built in for enterprise security.

Audit & Compliance

Full audit log, immutable history, data retention controls, and compliance-ready reporting.

True Multi-Protocol in One UI

HTTP, WebSocket & gRPC — Side by Side

No other open-source runner lets you mix all three protocols in the same test suite, run engine, and reporting pipeline without switching tools.

HTTP / HTTPS

Full REST API testing with correlation, parameterization, and custom headers. Supports GET, POST, PUT, DELETE, PATCH, and streaming.

WebSocket

Connect, send messages, and assert responses in real time. Test long-running connections, chat, and push notification workloads alongside HTTP tests.

gRPC

Load test gRPC services using proto definitions. Unary, client streaming, server streaming, and bidirectional streaming all supported.

Zero-Install Extension Ecosystem

Everything You Need. No npm Required.

ctx.require() works inside every scenario without npm install — no setup, no versioning conflicts, no build step.

ctx.require('faker')ctx.require('encode')ctx.require('assert')ctx.require('xml')ctx.require('ml')ctx.require('csv')ctx.require('crypto')ctx.require('db')ctx.require('graphql')+ More

Why it's different

Eight Things No Other Load Testing Tool Does

AI-native, zero-install, multi-protocol — and fully self-hosted. Most tools do one of these. QuickCloud does all eight.

AI-Generated Test Scripts

Describe a user flow in plain English and the AI writes the full JS scenario. No other open-source tool has this at the runner level.

Zero-Install Extension Ecosystem

ctx.require('faker/encode/assert/xml') — work inside every scenario without npm install.

True Multi-Protocol in One UI

HTTP, WebSocket, and gRPC scenarios live side-by-side in the same project, test suite, and run report.

HAR-to-Load-Test in Seconds

Record any browser session, import the HAR, and it becomes a parameterized replay scenario instantly.

Named Assertions + Custom Metrics

ctx.check(), ctx.metric.add(), ctx.group() report into run results as structured data, not just log lines.

Native TLS Termination with Zero-Config

SSL_CERT + SSL_KEY and the server goes HTTPS with no reverse proxy. ALLOW_INSECURE_TLS=true handles self-signed targets seamlessly.

Enterprise Trust Signals Built In

Public status (/status), security.txt, audit log, OIDC/SSO, and GitHub CI check posting are included, not sold as add-ons.

Self-Hosted + Distributed, Same Binary

One deployment runs UI, API, and workers. DISTRIBUTED_MODE=true scales to millions of VUs on your own infrastructure.

AI & Intelligence Engine

Always-on built-in intelligence at every step of the performance testing lifecycle.

Script Generation AI

AI writes full JS test scripts from plain-English descriptions — best practices, think time, and error handling included.

Test Optimization AI

Analyzes run history to identify redundant, flaky, or low-value scenarios and recommends pruning and improvements.

Data Correlation AI

Automatically identifies and correlates dynamic values (session tokens, IDs) between requests so replays stay accurate.

Anomaly Detection

Flags latency outliers, error spikes, and worker health issues during live runs in real time.

Failure Prediction

Predicts under which load conditions a service is likely to breach SLOs — before the test run completes.

Smart Recommendations

Post-run AI analysis surfaces bottlenecks, suggests parameter tuning, and flags regressions against historical baselines.

Supported Source Technologies

One script. Any protocol.

HTTP & Web

HTTP/HTTPSWebSocketgRPCREST APIsGraphQL

Enterprise & Data

SOAPMQTTDatabaseMessage QueueFile / CSV

Target Environments

Test anything. Deploy anywhere.

Application Types

Web AppsMicroservicesAPIsMobile APIs

Infrastructure

On-PremKubernetesPrivate CloudAWSAzureGoogle Cloud

SLO Gates in Your CI/CD Pipeline

Define your SLOs once. QuickCloud enforces them on every run — automatically blocking the merge or deploy if thresholds are breached.

p95 response time

< 500ms

Error rate

< 1%

Avg response time

< 200ms

If any threshold is breached → GitHub Actions check fails → PR is blocked

Integrations

CI/CDGitHub Actions
CI/CDGitLab CI
CI/CDJenkins
CI/CDAzure DevOps
ObservabilityDataDog
ObservabilityNew Relic
ObservabilityGrafana
AlertingPagerDuty
NotificationsSlack
ImportJMeter
ImportPostman

Virtual User Limits by Plan

Included in your flat subscription — no VU packs, no overage charges within your tier.

View full pricing →

Migration Bundle Cloud Ops Bundle

500concurrent VUs

Migration parity testing, regular regression runs, pre-launch validation

Full Platform

2,500concurrent VUs

Production load testing, multi-scenario benchmarks, sustained soak tests

Enterprise

Customunlimited worker pools

10,000+ VU global load tests, dedicated worker infrastructure, custom SLA

For comparison: BlazeMeter and NeoLoad charge separately per VU pack on top of their base license. QuickCloud includes your VU allowance in the flat subscription price — no surprise bills mid-project.

Cloud Agnostic by Design

Worker nodes run anywhere — spin up on your preferred cloud, on-prem, or in a hybrid configuration.

AWS
Microsoft Azure
Google Cloud
On-Prem
Hybrid
Multi-Cloud

Measurable Outcomes

Lower Risk

Detect performance issues early and validate SLA confidence before every deploy.

Faster Delivery

AI generation, HAR import, and zero-install extensions accelerate test creation.

Unlimited Scale

Self-hosted distributed model scales to millions of VUs on demand on your infrastructure.

Better Insights

Named assertions and custom metrics drive data-backed performance decisions.

Lower Cost

No per-VU pricing. Scale with your own infrastructure — no surprise bills mid-project.

Enterprise Ready

Security, compliance, SSO, and audit built in from day one — not sold as add-ons.

Frequently Asked Questions

No. Performance & Load Testing (AI) is a fully standalone product that works with any web application or API. There is no mainframe context required.
VU limits are included in your subscription tier: Migration Bundle and Cloud Ops Bundle include up to 500 concurrent VUs, Full Platform includes up to 2,500 concurrent VUs, and Enterprise provides custom limits with dedicated distributed worker pools. Workers run on-premises, on AWS, Azure, or GCP — you can scale horizontally by adding worker nodes within your VU allowance. Most migration parity tests and regular regression runs are well within 500 VUs; the 2,500-VU tier covers production-level load tests for the large majority of deployments.
Yes. Our GitHub Actions and GitLab CI integrations return a pass/fail exit code based on SLO compliance. You define the thresholds (e.g., p95 < 500ms, error rate < 1%); we enforce them on every run automatically.
Yes. QuickCloud imports JMeter JMX files and Postman collections directly — no rewrite required. You can also capture new scenarios using the visual HAR builder by recording HTTP traffic from a browser session.
Yes. Performance & Load Testing (AI) and QA Automation (AI) are two independent products with separate use cases and buyers. You can use either standalone or both together. Both are included in the Migration and Platform plans.
Per-request and aggregate metrics: p50/p75/p90/p95/p99 response times, avg response time, throughput (req/sec), error rate by endpoint, virtual user concurrency over time, and worker health.

Also included in Full Platform — $14,999/mo

Performance and cost — two sides of the same coin

Load testing reveals performance bottlenecks; cost optimization reveals the bill they create. Run both from one platform.

Find Your Limits. Fix Them Before Launch.

Schedule a walk-through and see how QuickCloud runs load tests against your actual services before your next deployment.