
nginx
AWS Elastic Load Balancing
Azure Traffic Manager
Traefik
Citrix NetScaler
Azure Load Balancer
Azure Application Gateway
Google Cloud Load Balancer enables users to scale their applications on Google Compute Engine.

Hoppscotch
Webhook.site
MockServer
Mockoon
Request inspector
API Fortress
Postman
Unblock yourself from API dependencies, and build & integrate with APIs fast. Beeceptor helps you build a mock Rest API in a few seconds.

Which is more popular?
Beeceptor might be a bit more popular than Google Cloud Load Balancing. We know about 13 links to it since March 2021 and only 11 links to Google Cloud Load Balancing.
Website, pricing, platforms and company facts side by side.
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| Website | cloud.google.com | beeceptor.com |
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| Company | — | 2017 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Google Cloud Load Balancing yet.
If you've ever found yourself stuck during software development because a micro-service or 3rd party API wasn't available, then API Mocking is the solution you've been looking for. Beeceptor is a versatile tool that can help you with many different API development use cases. Whether you need to...
What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
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How to use Beeceptor
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Google Cloud Load Balancing and Beeceptor.
Beeceptor's answer:
Beeceptor stands out for its simplicity and ease of use, particularly for intercepting and mocking real-time HTTP and HTTPS requests without requiring code changes, extensive setup, new dependencies, etc.
Beeceptor's answer:
Beeceptor's primary audience includes software developers, QA engineers, and product managers who are involved in the development and testing phases of web and mobile applications.
Share your experience with using Google Cloud Load Balancing and Beeceptor. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


As part of 5. HTTPS, I used a Cloud Load Balancer to add a user-friendly domain with HTTPS for my static website by linking it with my managed zone. It's also used to distribute user traffic. - Source: dev.to / about 1 year ago
Unfortunately, the API we created is not suitable for anything but the most basic prototyping. For a real API, we will likely want to use our own domain. This appears to be quite complicated in GCP. We will need a Load Balancer, a... - Source: dev.to / over 3 years ago
Set up a Load Balancer and Cloud Armor in front of your function, or. Source: over 3 years ago
Webhook.site exists. Beeceptor exists. Ngrok exists in this space. - Source: dev.to / 6 months ago
This is exactly where Beeceptor’s stateful mocking come in to transform your development workflow. You can implement real data persistence without requiring to set up a single database, instantly unblocking your frontend and QA teams. - Source: dev.to / about 1 year ago
Visit Mockbin.io, Beeceptor or RequestBin and click "Create endpoint." These platforms instantly generate a unique URL that captures incoming HTTP requests. Copy the provided URL, something like https://your-webhook-endpoint.com/hook. - Source: dev.to / about 1 year ago
When comparing Google Cloud Load Balancing and Beeceptor, you can also consider the following products.

A high performance free open source web server powering busiest sites on the Internet.
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Open source API development ecosystem
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Amazon ELB automatically distributes incoming application traffic across multiple Amazon EC2 instances in the cloud.
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Instantly generate a free, unique URL and email address to test, inspect, and automate (with a visual workflow editor and scripts) incoming HTTP requests and emails.
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Microsoft Azure Traffic Manager allows you to control the distribution of user traffic for service endpoints in different datacenters.
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Easy mocking of any system you integrate with via HTTP or HTTPS.
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