We did it! There is a new SDK in the Backendless family of libraries, please welcome the SDK for Amazon Alexa! Let’s get a few basic questions out of the way first:
Q: Can I build a custom Amazon Alexa skill without Amazon Lambda?
A: Yes, you can definitely do it by running your custom skill implementation in Backendless.
Q: What is the simplest way to build a custom Alexa skill?
A: Great question! Read the announcement below:
Backendless SDK for iOS has received several improvements which increased the portability of our code. As a result, the same library you use for the iOS apps can also be used in tvOS and watchOS apps. All the functionality available in our SDK is available in these two environment, this includes real-time database and real-time messaging. The Backendless APIs are the same as for iOS when using them in tvOS and watchOS apps. Below is a video with a demo of a tvOS app which shows the real-time database in action. The source code of the application demonstrated in the video is available at:
This is a very exciting improvement for the SDK as it opens up new opportunities for the developers who look to expand their reach to different types of Apple devices.
Today we will talk about how to monitor client’s Real-Time Connections in your Angular application. This tutorial continues the guide on how to build Angular apps with Backendless. It is recommended to check out the previous article in this series before you continue for the reason that we will use the application from the previous post as the starting point for this tutorial. Alternatively, if you just want to start working with the it right away, just download the source code from this GitHub commit.
In many cases we want to see how many application users are online or offline, for example, it might be useful in a chat application. For the demo purposes, in our application we will add a simple counter for count all connected clients. As we explore adding that functionality, you will meet with Backendless Business Logic, Backendless Counters, Codeless and keep discovering Real-Time features:
Since Backendless does not have native APIs to download files, today we’ll talk about how to implement this function in your Android application. In order to do that, we’ll need to combine Backendless file listing API and android.app.DownloadManager. There are several alternatives to this approach, but the selected one requires less code to write and has a well-thought structure.
Once a developer uploads files to the Backendless Files system, each file gets a public URL which can either be obtained using the Backendless Console or calculated using the following URL scheme:
Great news, guys! Backendless 5 is now released and it’s time to show you some new features we’ve been working on. In this article we will talk about how to integrate the Backendless Real-Time Database into your Angular application. Meanwhile, you can check out the previous version of our Angular app in this post. In case you haven’t read the post and don’t have that app yet, please review the previous article, because we will use that application as a starting point for this tutorial. Or, if you just want to start working with the it right away, just download the source code from this GitHub commit.
Images displayed in your app often may be responsible for the bandwidth consumed by the device, which has a direct impact on the performance, battery level and the amount of memory which the app allocates. As a result, optimizing images can often bring noticeable performance improvements for your app: the fewer bytes it needs to download, the smaller impact is on the client’s bandwidth and the faster app will download and render content on the screen.
Let’s imagine you have an app where you store pictures to show them to your app’s users. But what happens if the resolution of these images is high and they are taking a lot of space? Download of these files is time-consuming and, as a result, it slows down your app making the user experience substandard.
A recommended approach is to create image thumbnails with lower resolutions relative to the original one. These thumbnails can be used to preview the image in the application.
The thumbnails can be generated using Backendless API Services (the Business Logic section). If you are not familiar with how to create your own API Service, please check the How to generate a QR code with Backendless API Service post, which describes the process of API service creation in greater detail.
In this article, we will focus on the task of generating thumbnail images with different resolutions.
With the release of version 5 of Backendless and introduction of the real-time capabilities the dynamics of the client-server integration will be changing. The real-time functionality should result in a significant reduction of the API calls an application makes. To further reflect the value associated with each pricing plan in Backendless Cloud, we introduced several changes:
I am happy to report that Backendless version 5.0 has been released. The Backendless Cloud installation has been updated, all apps run on the new version now. The new release is a major milestone for Backendless as it significantly strengthens our position as a leader in the mobile application development space. The new release delivers the following functionality:
To generate an API document:
Our roadmap for version 5 consists of some very exciting features. We are looking forward to bringing all this great functionality to you so you can continue building powerful apps while enjoying Backendless more than ever.
Suppose your app logs in a user. As a result, the app gets user-token which uniquely identifies the user’s session with Backendless. If your app uses our SDK for Android, iOS, JS or .NET, the user-token value is managed directly by our libraries. Specifically, it is added to every API call to maintain the session and tell the server about the user’s identity. There are situations when you need to get the user object when your app has only user-token. This could happen if you used persistent login in the application, which stores user-token on the device. The implementation does not save the user object, however, there is a way to retrieve the user based on the user-token value (assuming the token is still valid). In this article, I will show you how to do this.
The technique for retrieving the user object is creating an API service which accepts a user-token in the header and retrieves the current user. I will use Codeless to create the API service because it has an intuitive interface and allows you to solve these tasks very quickly, just by building the algorithms instead of writing code:
Backendless Marketplace is a specialized store for backend functionality. Our vision for the marketplace is to make it a community driven store for algorithms and API services. We also use the Marketplace for various Backendless”extenders” to help developers to increase the limits of the Backendless Cloud pricing plans. However, most importantly, the Marketplace can be used for sharing your API services with other developers.
By publishing your Cloud Code to the Marketplace, you can share your business logic components (e.g.: API services, event handlers and/or timers) with other Backendless developers. Once your Cloud Code is published, it becomes a Marketplace product and will be visible to all Backendless users (developers). In the upcoming releases, we’ll add a possibility to set a price for your products allowing you to charge a fee for every successful installation.