The LoadForge Library
Load Testing Guides
Step-by-step playbooks for load testing every framework, database, API, cloud platform, AI service, and CI/CD pipeline — with real Locust scripts you can run on LoadForge.
Browse by category
Each category collects deep guides for the tools and platforms in that area, with ready-to-run load test scripts.
23 guides
Web Frameworks
Performance-test Rails, Django, Laravel, Express, Spring Boot, Next.js and more with LoadForge.
Explore Web Frameworks →13 guides
API & Protocols
Hands-on load testing guides for REST APIs, GraphQL endpoints, gRPC services, WebSockets, SSE, and webhooks.
Explore API & Protocols →14 guides
E-commerce & CMS
Load testing playbooks for Shopify, WooCommerce, Magento, BigCommerce, WordPress, and headless CMS stacks.
Explore E-commerce & CMS →23 guides
Cloud & Infrastructure
Benchmark AWS, Azure, GCP, Kubernetes, Cloudflare, Vercel, load balancers, and edge runtimes under realistic load.
Explore Cloud & Infrastructure →14 guides
Databases
Load testing guides for PostgreSQL, MySQL, MongoDB, Redis, DynamoDB, Cassandra, and other databases.
Explore Databases →15 guides
AI & LLM
Load testing guides for OpenAI, Anthropic, vector databases, RAG pipelines, and self-hosted LLM inference servers.
Explore AI & LLM →12 guides
CI/CD & DevOps
Integrate LoadForge with GitHub Actions, GitLab CI, CircleCI, Jenkins, ArgoCD and modern DevOps pipelines.
Explore CI/CD & DevOps →Latest guides
Recently published walkthroughs from across the library.
Cloud & Infrastructure
Apache Load Testing Guide with LoadForge
Load test Apache web servers with LoadForge to benchmark request handling, concurrency, and overall site performance.
CI/CD & DevOps
ArgoCD Load Testing for Progressive Delivery
Combine ArgoCD and LoadForge to validate app performance during progressive delivery and Kubernetes rollouts.
Web Frameworks
ASP.NET Load Testing Guide with LoadForge
Learn how to load test ASP.NET applications with LoadForge to find performance issues and ensure your app handles peak traffic.
Cloud & Infrastructure
AWS Lambda Load Testing Guide
Learn how to load test AWS Lambda functions with LoadForge to measure cold starts, concurrency, and serverless scaling.
Cloud & Infrastructure
AWS Load Testing Guide with LoadForge
Learn how to load test AWS applications and APIs with LoadForge to find bottlenecks, measure scale, and improve performance.
Cloud & Infrastructure
Azure Functions Load Testing Guide
Load test Azure Functions with LoadForge to evaluate cold starts, throughput, and scaling behavior under peak demand.
Frequently asked questions
Common questions about load testing and how LoadForge helps.
What is load testing?
Load testing is the practice of simulating concurrent users hitting your application to measure how it behaves under realistic and peak traffic. It helps you find performance bottlenecks, capacity ceilings, and broken assumptions before users do.
Why should I load test my application?
Load testing catches performance regressions and capacity issues before they cause outages, missed SLAs, or lost revenue. It is especially important before launches, sales events, marketing pushes, infrastructure changes, and database migrations.
Which framework or platform does LoadForge support?
LoadForge can load test anything that speaks HTTP, HTTPS, WebSocket, or any TCP-based protocol — including REST APIs, GraphQL, gRPC, web frameworks like Rails, Django, Laravel, Express and Spring Boot, e-commerce platforms like Shopify and Magento, databases through their HTTP interfaces, and AI inference endpoints.
Do I need to write code to use these guides?
Most of these guides include ready-to-paste Locust Python scripts. You can run them as-is on LoadForge or adapt them to your endpoints. LoadForge also has a script builder if you prefer a no-code starting point.
How do I pick the right number of virtual users?
Start with realistic traffic — usually 1.5x to 2x your current peak — and ramp up from there. Each guide in this section walks through a sensible starting point for the technology in question, including how to model think time and concurrency.
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