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Salesforce Platform Enterprise Architecture- fourth edition

Salesforce Platform Enterprise Architecture- fourth edition

By : Andrew Fawcett
4.7 (39)
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Salesforce Platform Enterprise Architecture- fourth edition

Salesforce Platform Enterprise Architecture- fourth edition

4.7 (39)
By: Andrew Fawcett

Overview of this book

Salesforce makes architecting enterprise grade applications easy and secure – but you'll need guidance to leverage its full capabilities and deliver top-notch products for your customers. This fourth edition brings practical guidance to the table, taking you on a journey through building and shipping enterprise-grade apps. This guide will teach you advanced application architectural design patterns such as separation of concerns, unit testing, and dependency injection. You'll also get to grips with Apex and fflib, create scalable services with Java, Node.js, and other languages using Salesforce Functions and Heroku, and find new ways to test Lightning UIs. These key topics, alongside a new chapter on exploring asynchronous processing features, are unique to this edition. You'll also benefit from an extensive case study based on how the Salesforce Platform delivers solutions. By the end of this Salesforce book, whether you are looking to publish the next amazing application on AppExchange or build packaged applications for your organization, you will be prepared with the latest innovations on the platform.
Table of Contents (23 chapters)
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1
Part I: Key Concepts for Application Development
6
Part II: Backend Logic Patterns
11
Part III: Developing the Frontend
14
Part IV: Extending, Scaling, and Testing an Application
21
Other Books You May Enjoy
22
Index

Extending application logic with Flow

In the previous section, an Apex Interface was defined and placed in the package to express to Developer X what they needed to implement to extend the application logic. This same principle can be applied to logic Developer X might prefer to express in Flow, without needing to write any code.

Though there is no way to define an “interface” for a Flow, you can provide documentation that describes an expected set of Flow parameter names and types for the correct input and output into Flows written by Developer X. The following code illustrates how at runtime, a Flow created by Developer X is called and parameters passed to and from it; this only applies to auto-launching Flows:

Map<String, Object> inputs = new Map<String, Object>();
  inputs.put('contestants', contestants);
Flow.Interview myFlow = 
   Flow.Interview.createInterview(flowName, inputs);
myFlow.start()
String summary = (String) myFlow.getVariableValue...

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