Locust Load Testing Framework
Write custom user behavior in Python and simulate millions of users with Locust’s scalable, open-source testing engine.
Overview
Comprehensive Locust Solutions & Technology Partnerships
Locust is an open-source load testing tool that empowers developers to define user behavior using Python and simulate millions of concurrent users. Unlike traditional GUI-based tools, Locust is lightweight, flexible, and designed for DevOps and automation-focused teams. CLOUD NETWORK TEST supports organizations across North America in deploying Locust within CI/CD pipelines for seamless performance evaluation. Headquartered in New York, NY, CLOUD NETWORK TEST is a trusted B2B partner offering leading-edge load testing solutions backed by strong technical guidance, QA expertise, and responsive support. With Locust, teams can achieve faster development cycles and greater control over test scenarios.
Comprehensive Support for Locust
In addition to offering products and systems developed by our team and trusted partners for Locust, we are proud to carry top-tier technologies from Global Advanced Operations Tek Inc. (GAO Tek Inc.) and Global Advanced Operations RFID Inc. (GAO RFID Inc.). These reliable, high-quality products and systems enhance our ability to deliver comprehensive technologies, integrations, and services you can trust. Where relevant, we have provided direct links to select products and systems from GAO Tek Inc. and GAO RFID Inc.
As a B2B technology leader headquartered in New York, NY, CLOUD NETWORK TEST helps companies integrate Locust into their DevOps and CI/CD pipelines while offering tailored consultation, platform setup, and result interpretation to maximize infrastructure resilience and business continuity.
Core Components
Hardware
Distributed nodes for load generation
Ethernet Analyzers are ideal for monitoring and optimizing traffic across distributed load generation nodes.
Virtual machines or containers for scalable test execution
SFP Transceivers enable high-speed, reliable connectivity between virtualized environments in data centers.
Network infrastructure for simulating traffic
CWDM Mux / De-Mux to Enhance Bandwidth supports high-throughput network setups critical for realistic traffic simulation.
Software, Cloud & Data Services
Software
- Python-based test script engine
- Web-based real-time dashboard
- CLI and API for automation
- Plug-ins and extensions for reporting
Cloud & Data Services
- Integration with cloud platforms (AWS, Azure, GCP)
- CI/CD tools support (Jenkins, GitHub Actions)
- Centralized logging and metrics via Prometheus/Grafana
- Test data export for analytics in BigQuery, Elasticsearch
Features & Industries Served
Key Features & Functionalities
- Define user behavior in plain Python
- Distributed & scalable load testing
- Real-time web UI with live metrics
- Easy to integrate into DevOps pipelines
- High performance with asynchronous I/O
Industries We Serve
- E-commerce
- Finance & Banking
- SaaS & Cloud Services
- Gaming & Media
- Telecommunications
Compatibility, Applications & Relevance
Integrations & Compatibility
- CI/CD tools (Jenkins, GitHub Actions, GitLab CI)
- Docker, Kubernetes, and Terraform
- Monitoring tools (Prometheus, Grafana)
- Cloud platforms: AWS, GCP, Azure
- HTTP/REST APIs, WebSockets
Key Applications
- Load testing APIs and microservices
- Website performance validation
- Stress testing backend systems
- Continuous performance monitoring
- Regression performance testing
Relevant Industry Standards (U.S. & Canada)
- ISO/IEC 27001
- NIST SP 800-115
- SOC 2 Type II
- CSA STAR Certification
- PCI DSS
Benefits of CLOUD NETWORK TEST's Sensor & Actuator Systems
Developer-Centric
Define test scenarios with Python for maximum flexibility.
Lightweight & Efficient
Run tests with a minimal resource footprint.
Scalable Testing
Generate distributed load across multiple machines.
Open-Source Advantage
Backed by a strong, active community.
Real-Time Insights
Get instant feedback and fine-grained test control.
Project Profile
case studies
Case Study 1: U.S. FinTech Platform
Simulated 500K concurrent users with Locust to test transaction processing during peak hours, improving backend throughput by 28%.
Case Study 2: Canadian SaaS Company
Used Locust in a Kubernetes environment to validate horizontal scaling efficiency before product launch.
Case Study 3: U.S. Retail Chain
Integrated Locust into Jenkins pipeline to run nightly API performance tests, identifying regressions early and reducing QA bottlenecks.
Contact Us
Need help implementing Locust or integrating it into your CI/CD workflow? Looking for automation support or distributed load generation?
Contact CLOUD NETWORK TEST to connect with our QA experts and start scaling your performance testing efforts today.
