How AI is applied across API Evangelist and APIs.io. Read my AI disclosure →
API Evangelist API Evangelist
Discovery
Learnings
Guidance
Toolbox
Alignment
API Evangelist LLC

How Hoverfly Cloud tackles stateful API workflows

calendar_today October 14, 2025 person sales@ioco.uk (Hoverfly Cloud Team) domain hoverfly

Beyond the mock: Simulating complex, stateful API workflows with Hoverfly Cloud From user sessions to multi-step transactions, learn how to reliably test your application’s interaction with dependent APIs using Hoverfly Cloud. Why stateful APIs are a testing head-scratcher With interconnected software development, especially within a microservice architecture, APIs are rarely simple, stateless interactions. A real-world workflow often involves a sequence of calls where the response to one request is dependent on the result of a previous one. Think of a classic e-commerce checkout: POST /basket → Returns a basketId POST /payment/authorise (with basketId) → Returns a transactionId POST /order/subm it (with transactionId ) → Returns a 201 Created If your testing environment or a third-party payment gateway is unavailable, unstable, or too costly to use for high-volume testing, simulating this stateful journey becomes a significant challenge. Traditional mocks are typically limited to simple request-response matching, falling short when the internal state of the simulated service needs to evolve. Building a persistent backend simulation with Hoverfly Cloud This is where Hoverfly Cloud’s advanced simulation features shine, allowing dev and QA teams to create highly realistic, stateful mocks. The key is in its ability to introduce persistence and dynamic response generation. Persistent backend simulation (The “In-memory journal”) An important feature of Hoverfly Cloud is its capacity to simulate a persistent backend . It achieves this by logging and making previous request-response pairs accessible from its internal, in-memory journal. This transforms a stateless mock into a dynamic, state-aware one. How it works: When a request is made, the simulation logic can look up a value saved from an earlier request within the same test flow. For instance, the POST to /basket can generate a unique basketId and save it. The subsequent POST to /payment/authorise then checks the journal to see if the required basketId exists and is valid before proceeding. The benefit: Your application under test sees a consistent, step-by-step transaction, mirroring the logic of the real system without the need for an actual database or third-party service. Dynamic responses with response templating Stateful workflows often require dynamic data, such as a generated token, a unique transaction ID, or a timestamp that is then re-used or validated in a subsequent request. Hoverfly Cloud uses powerful Handlebars templating to inject logic and dynamic values directly into the response body or headers.

open_in_new Read original post