There are a lot of social applications around the world, such as Facebook, Twitter, WhatsApp, Instagram, etc. If we take a look under the hood, however, we can see they all share pretty standard features. For instance, we can’t imagine an app without the ability to establish relationships between users, or without “likes” and “comments”…

In this edition of Backendless Spotlight, we look at a company with the motto “Retire the Résumé”. FindReps uses an innovative new approach to connect salespeople with manufacturers looking to get their products in front of buyers.

Introduction For those looking to streamline app backend development, there are many MBaaS platforms to choose from. In this article, we will compare the Backendless platform to one of the largest alternatives, Google's Firebase. We will review functionality available in the following categories: Data Management - We will examine how each platform approaches managing and...

ReactJS remains one of the most popular hybrid frontend development languages on the market today. In this article, we are going to continue developing a React application using Backendless as the backend by showing how to add real-time alerts to your app.

In another post, we introduced you to the publish/subscribe messaging API. The API can be used to broadcast messages that can be received by multiple client apps. Be sure to check out our guide to building a Flutter chat app to see pub/sub messaging in action. Note: It is important to distinguish between pub/sub messages…

Publish/subscribe messaging has been around for a long time. The concept is rather simple – a program can publish a message to a queue or a topic, while another program subscribes to the queue or the topic to receive published messages. There are a lot of caveats in the model such as conditional delivery, message…

Previously, we wrote how to generate custom business logic code for API event handlers and how to locally debug your custom code. Now your code is ready to be pushed to the Backendless servers. Once it is out there, the Backendless infrastructure automatically handles scaling the code execution and routing requests to an instance available…

In the introductory post, we gave a brief description of the Backendless Geolocation service and wrote how to setup sample geodata. Now that we have a collection of geopoints, let’s look into the API to retrieve these points. Similar to data objects, Backendless returns geopoints using paged data.

Now that you know how to generate code for custom business logic timers (Backendless background jobs) and how to locally debug custom business logic, it is time to learn how to deploy that code to production.