Book Image

Build Customized Apps with Amazon Honeycode

By : Aniruddha Loya
Book Image

Build Customized Apps with Amazon Honeycode

By: Aniruddha Loya

Overview of this book

Amazon Honeycode enables you to build fully managed, customizable, and scalable mobile and web applications for personal or professional use with little to no code. With this practical guide to Amazon Honeycode, you’ll be able to bring your app ideas to life, improving your and your team’s/organization’s productivity. You’ll begin by creating your very first app from the get-go and use it as a means to explore the Honeycode development environment and concepts. Next, you’ll learn how to set up and organize the data to build and bind an app on Honeycode as well as deconstruct different templates to understand the common structures and patterns that can be used. Finally, you’ll build a few apps from scratch and discover how to apply the concepts you’ve learned. By the end of this app development book, you’ll have gained the knowledge you need to be able to build and deploy your own mobile and web applications. You’ll also be able to invite and share your app with people you want to collaborate with.
Table of Contents (20 chapters)
1
Part 1: Introduction to Honeycode
7
Part 2: Deep-Dive into Honeycode Templates
13
Part 3: Let's Build Some Apps

Defining the data model

For this chapter, we will consider a tech company to be our organization with organizational goals as the top-level north star that is served via multiple epics or themes. Each of the epics will have one or more features that need to be built for delivering the parent epic towards achieving the mapped organizational goals.

Our app, therefore, has four distinct entities requiring tables for each of the following:

  1. Organization goals or OKRs
  2. Epics
  3. Features
  4. Teams

Then, we need to be able to show the state (such as not started, in progress, and done), and the status (such as on schedule and behind schedule) for each of the deliverables as well as those on the aggregate level and, thereby, require a table for listing the state and status values.

Often, we may come across the scenario where a single epic will deliver against more than one OKR and we would like to capture that in our app. The most scalable and automated way of achieving...