Hoverfly Cloud
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  • Introduction
  • Use cases for API Simulation
  • Key concepts
  • What's New
  • Dashboard
  • Simulation
    • Create simulations
    • Configuring Request Matchers
      • JSON Request Matchers on the Body
        • EXACT Matcher
        • JSON Matcher
        • JSON Partial Matcher
        • JSONPath Matcher
        • Regular Expression Matcher
      • Handling the response when Hoverfly cannot match
    • Building a JSON Response
      • Using a JSON object from the Request
      • Looping over a JSON array from the Request
    • Simulating Webhooks and Callbacks
    • Using templating in simulations
      • Render back any part of the Request
      • Render synthetic data
      • Faker functions
      • Render dates and times with offsets
      • Conditional logic
      • Looping over arrays
      • Variables and Arrays
      • Arithmetic operations
      • String operations
      • Validation operations
      • Simulating a persistent backend
      • Transitioning state between requests
      • Combining and nesting templating functions
      • Useful helper functions
      • Avoiding HTML encoding in function return values
    • Using data sources in simulations
      • Querying data sources
      • Updating data in data sources
      • Deleting data from data sources
      • Inserting data into a data source
      • Guidance on using the SQL like syntax
    • Working with Simulation Files
  • Service
    • Start a new service
    • Use a service
    • Update a service
    • Configuring Journal Indexing
  • Command line interface
    • Hoverfly Cloud CLI commands
  • Tutorials
    • Quickstart
    • Creating simulations and services
      • Tutorial 1: Create a service and simulation manually
      • Tutorial 2: Create a service and simulation by importing from a Swagger specification
      • Tutorial 3: Create a service and simulation by capturing real API traffic
    • Response Templating
      • Tutorial 4: Response Templating
    • Hoverfly service modes
      • Tutorial 5: Simulate, Capture, Spy and Passthrough modes
    • Automating with the CLI and API
      • Tutorial 6: Using the CLI and the Hoverfly Cloud API
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  • What is Hoverfly Cloud?
  • API Simulation vs Service Virtualization
  • Try it out

Introduction

Hoverfly Cloud Documentation. Learn how to use Hoverfly Cloud to create and manage virtual services for API simulation and testing

NextUse cases for API Simulation

Last updated 3 months ago

What is Hoverfly Cloud?

Hoverfly Cloud is a Software-as-a-Service API simulation solution, designed from the ground up for integration, automation and performance.

Hoverfly Cloud allows developers and test engineers to replace the APIs their applications depend on with flexible light-weight simulations.

This decouples the development and testing process from unreliable, expensive test systems and restrictive API sandboxes.

API simulations can be configured to reproduce unexpected API behaviors such as high latency or random failures. This makes it possible to ensure that applications respond gracefully when the APIs they depend on misbehave.

Hoverfly Cloud allows you to speed up delivery, reduce costs, and get resilient software to market faster.

API Simulation vs Service Virtualization

The technique of simulating (or "virtualizing") application dependencies during development and testing is often referred to as Service Virtualization.

Service Virtualization solutions usually provide tools for virtualizing HTTP/HTTPS services, database connections, various messaging protocols, and even mainframes.

API simulation refers to the virtualization of HTTP/HTTPS APIs only. API Simulation is therefore a type of Service Virtualization.

Try it out

If you are ready to dive straight in, please visit the section and complete the Quick start which will get you your first Hoverfly API simulation running in under a minute.

Tutorials