How dotMock Works
Understanding the architecture and flow of dotMock's cloud-based API mocking platform.
From Idea to Live API in Seconds
dotMock provides a powerful, cloud-based solution for creating and managing API mocks. When you create a mock API in dotMock, it's instantly available via a unique URL atyour-api.mock.rest that your applications can use just like a real API.
Core Architecture
Built for speed, reliability, and global scale
Cloud Infrastructure
dotMock runs on a globally distributed cloud infrastructure, ensuring low latency and high availability for your mock APIs anywhere in the world.
Mock Engine
Our intelligent mock engine processes incoming requests, matches them against your defined rules, and returns appropriate responses in milliseconds.
Real-time Updates
Changes to your mock APIs are deployed instantly. No build process, no deployment delays - your updates are live as soon as you save them.
Security & Isolation
Each project runs in an isolated environment with its own unique subdomain at.mock.rest, ensuring complete separation and security.
Request Flow
From request to response in milliseconds
Client Makes Request
Your application sends an HTTP request to your dotMock endpoint URL atyour-api.mock.rest
Request Analysis
dotMock analyzes the request method, path, headers, query parameters, and body content
Rule Matching
The engine matches the request against your defined endpoints and response rules
Response Generation
Based on your configuration, dotMock generates the appropriate response using dynamic templates
Response Delivery
The response is sent back to your application with configured headers and status codes
Why Choose dotMock?
Everything you need for powerful API mocking
Zero Configuration
No servers to set up, no configuration files to manage. Everything is handled through our intuitive UI.
Instant Deployment
Your mock APIs are available immediately at a unique .mock.rest URL as soon as you create them.
Smart Matching
Advanced request matching based on paths, methods, headers, query parameters, and request bodies.
Dynamic Responses
Generate different responses based on request data using Go templates, simulate delays, errors, and complex scenarios.