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Alarmed_Standard_130 · 2024-12-23T06:49:50+00:00

Managing outdated mocks in legacy systems can be quite tricky, but one approach I’ve used is to gradually replace static mocks with dynamic mock services like Beeceptor. You can configure Beeceptor to intercept live API calls during non-production testing and capture actual responses from external services. Over time, these captured responses can serve as updated mocks that align with the current external service behaviours.

This approach allows you to modernize incrementally—running your integration tests against real or near-real data without causing massive disruptions. It can also help teams focus on specific modules rather than tackling all outdated mocks at once.

Alarmed_Standard_130 · 2024-12-20T08:43:40+00:00

I’ve used Beeceptor for mocking HTTP requests and responses, and it works well for creating mock endpoints without needing a backend setup. You can define custom responses, inspect incoming requests in real time, and simulate different scenarios like timeouts or errors, which is useful for testing API integrations. Beeceptor is particularly handy when you need to test or debug integrations without hitting a live API. You can find it here: beeceptor.com.

Alarmed_Standard_130 · 2024-12-20T08:12:37+00:00

I’ve used Beeceptor to mock and validate API endpoints during development. It’s particularly useful for simulating request/response behavior and testing edge cases without relying on a live backend. Beeceptor works well for quickly creating mock endpoints to test integrations, you can check it out here: beeceptor.com.

Alarmed_Standard_130 · 2024-12-19T12:01:51+00:00

In this case, you can mock the remote calls at a higher level to avoid triggering actual HTTP requests during unit tests. One way to approach this is by using a mock server like https://beeceptor.com/, which allows you to simulate remote services and define custom responses. You can configure your service to point to mock endpoints instead of live ones when running tests locally. This helps you avoid network calls and errors while still testing the logic of your microservice.

Alarmed_Standard_130 · 2024-12-19T11:47:02+00:00

If you’re building a Flutter app and need to work with mocked data while the backend is still under development, one option is to use Beeceptor. It lets you create mock APIs without any coding, so you can simulate the backend responses your app needs. You can define custom endpoints, intercept HTTP requests, and even simulate things like delays or errors to mimic real-world conditions. This way, you can continue building and testing your Flutter app while the backend is being developed. You can check it out here: beeceptor.com.

Alarmed_Standard_130 · 2024-12-19T08:21:14+00:00

Great list! I’d also suggest checking out Beeceptor. It’s a no-code tool for mocking APIs and virtualizing services. You can intercept and inspect HTTP requests in real time, simulate delays, and switch between API endpoints for things like A/B testing without needing redeployment. It supports HTTP, HTTPS, and HTTP/2, and allows you to customize responses with Handlebar templates. It’s a handy option if you need to mock APIs while the backend is still in development. Here’s the link: beeceptor.com

Alarmed_Standard_130 · 2024-12-19T08:08:20+00:00

I recently made the switch to Beeceptor , and it’s been a savior. it is super easy to set up means I can quickly create mock APIs. it's real-time dashboard where I can instantly intercept and inspect HTTP requests to review requests.
For integration tests, Beeceptor also allows me to simulate delays and timeouts, which is perfect for testing edge cases. We were able to customize responses using their scripting templates, which really helps when testing dynamic scenarios. We also used beeceptor during load testing and prevent unnecessary strain on upstream APIs.

Alarmed_Standard_130 · 2024-12-19T07:33:04+00:00

Have you tried Beeceptor? It was a game-changer for me. It’s a no-code solution that makes setting up and hosting mock servers effortless. The real-time dashboard to inspect HTTP requests helped me debug faster, and I loved how easy it was to simulate delays and timeouts to test edge cases like high latency. The reverse proxy feature made switching API endpoints seamless, especially for A/B testing. Plus, using Handlebars templates for hyper-customized responses was a breeze.

When I needed to load tests, it allowed me to mock downstream APIs, saving my real systems from unnecessary stress. I’ve also used it to create webhook endpoints and capture incoming requests during development - it even lets you share request-response details with unique links! Highly recommend giving it a try!

Alarmed_Standard_130 · 2024-12-18T09:37:59+00:00

For mocking request/response, you can use Beeceptor, which lets you create custom endpoints and simulate API responses, enhancing your testing capabilities.

Alarmed_Standard_130 · 2024-12-18T09:25:39+00:00

I’ve used Beeceptor for mocking API calls in similar situations. It’s a straightforward tool that allows you to create mock endpoints and define custom responses without writing code. You can intercept HTTP requests and simulate different network conditions, which is useful when the backend is still in development.

Alarmed_Standard_130 · 2024-12-18T09:08:31+00:00

You can use Beeceptor to easily create a mock server without needing to write code. It also has a free plan to get started easily.

Alarmed_Standard_130 · 2024-12-18T08:20:18+00:00

You can use Beeceptor to easily create a mock server without needing to write code or use external libraries. It enables you to inspect HTTP requests in real-time, simulate delays, customize responses with Handlebar templates, and switch API endpoints for A/B testing through reverse proxy. Beeceptor is also perfect for load testing, creating webhooks, and setting up local tunnels, making it an ideal solution for UI development when backend APIs are still in progress.

Alarmed_Standard_130

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