Book Image

Salesforce Lightning Platform Enterprise Architecture - Third Edition

By : Andrew Fawcett
Book Image

Salesforce Lightning Platform Enterprise Architecture - Third Edition

By: Andrew Fawcett

Overview of this book

Salesforce Lightning provides a secure and scalable platform to build, deploy, customize, and upgrade applications. This book will take you through the architecture of building an application on the Lightning platform to help you understand its features and best practices, and ensure that your app keeps up with your customers’ increasing needs as well as the innovations on the platform. This book guides you in working with the popular aPaaS offering from Salesforce, the Lightning Platform. You’ll see how to build and ship enterprise-grade apps that not only leverage the platform's many productivity features, but also prepare your app to harness its extensibility and customization capabilities. You'll even get to grips with advanced application architectural design patterns such as Separation of Concerns, Unit Testing and Dependency Integration. You will learn to use Apex and JavaScript with Lightning Web Components, Platform Events, among others, with the help of a sample app illustrating patterns that will ensure your own applications endure and evolve with the platform. Finally, you will become familiar with using Salesforce DX to develop, publish, and monitor a sample app and experience standard application life cycle processes along with tools such as Jenkins to implement CI/CD. By the end of this book, you will have learned how to develop effective business apps and be ready to explore innovative ways to meet customer demands.
Table of Contents (17 chapters)

Volume testing

In this chapter, we have used Apex code to generate additional data to explore how the platform applies indexes and the use of Batch Apex. It is important to always perform some volume testing, even if it is just with 200 records to ensure that your triggers are bulkified. Testing with more than this gives you a better idea of other limitations in your software search, such as query performance and any Visualforce scalability issues.

One of the biggest pitfalls with volume testing is the quality of the test data. It is not often that easy to get hold of actual customer data, so we must emulate the spread of information by varying field values among the records to properly simulate how the software will not only behave under load with more records, but under load with a different dispersion of values. This will tease out further bugs that might only manifest if the...