Blog
How to Build a Game Skill for Amazon Alexa Using Codeless
In a previous article (Developing a Custom Skill for an Alexa Game), we showed you how to build a custom Alexa skill using Backendless and our Amazon Alexa Skill SDK. Now, we are going to show how to make the same game using our Codeless feature - in other words - without any coding! You…

How to Get Additional Information From Users’ API Requests

Sometimes (or in some cases, every time) when you invoke a custom API Service, you may need additional information about the context from which the HTTP request was sent/received, such as user or device information. To collect that information, we provide a class called InvocationContext.

How to Perform Complete Business Logic in One API Call

In a previous article (How to Save an Object with All the Children in a Single Call to Server), we examined how to simply save an object model. However, Backendless custom services give us much more flexibility when it comes to saving objects. In this article, we are going to cover how to perform complex…

How to Use Low Priority Tasks in JS and Java CodeRunners

Today we are going to talk about a very valuable feature available for Managed Backendless and Backendless Pro users called Low Priority Tasks. In this article, we’ll look at how it works and what is it best used for. Backendless custom business logic (Cloud Code custom event handlers and custom API services) tasks are put into a…

How to Integrate Amazon Elasticsearch Service with Backendless

Amazon Elasticsearch Service (Amazon ES) is a service that can store a lot of data and provide a full text-based search, along with other cool features. In this article, we’ll show you how to integrate Amazon ES into your Backendless project. Of course, you may be able to accomplish what you’re looking for by using…

Developing an API Service With JavaScript and Additional NPM Modules

This post describes the process of developing an API Service in Backendless with JavaScript. You will learn: how configure your development environment include NPM dependencies run the service in the debug mode and test it using the Backendless console deploy the service to Backendless The service you will develop in this guide will provide APIs for…

Local API Service Debugging

Backendless API services enable Backendless developers to develop and run arbitrary Java, PHP and, very soon, JavaScript/Node.JS code as API services. With the service and CodeRunner update we deployed earlier this week, there is an awesome new feature which allows you to debug your services locally before publishing them into the cloud. The video below…

How to debug Cloud Code locally using CodeRunner

Previously I described how to use the Backendless Console to generate custom business logic code. In this post, I will describe one of the most amazing features in Backendless – an ability to debug custom server-side code on the developer computer before deploying it to the cloud. It would be very helpful for you to…

How to deploy Cloud Code timers to production

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. By “production” I mean the Backendless online service running in the cloud. It may not be your ultimate production…

How to debug Backendless Timers locally on a developer machine

In my previous post, I introduced Backendless CodeRunner – a debugging utility for custom business logic. Now that you can run your timer code locally using CodeRunner, I’d like to show how you can attach your IDE to the CodeRunner process and debug the code. The CodeRunner is configured to listen for remote debugging connections…