Book Image

Force.com Enterprise Architecture - Second Edition

By : Andrew Fawcett
Book Image

Force.com Enterprise Architecture - Second Edition

By: Andrew Fawcett

Overview of this book

Companies of all sizes have seen the need for Force.com's architectural strategy focused on enabling their business objectives. Successful enterprise applications require planning, commitment, and investment in the best tools, processes, and features available. This book will teach you how to architect and support enduring applications for enterprise clients with Salesforce by exploring how to identify architecture needs and design solutions based on industry standard patterns. There are several ways to build solutions on Force.com, and this book will guide you through a logical path and show you the steps and considerations required to build packaged solutions from start to finish. It covers all aspects, from engineering to getting your application into the hands of your customers, and ensuring that they get the best value possible from your Force.com application. You will get acquainted with extending tools such as Lightning App Builder, Process Builder, and Flow with your own application logic. In addition to building your own application API, you will learn the techniques required to leverage the latest Lightning technologies on desktop and mobile platforms.
Table of Contents (23 chapters)
Force.com Enterprise Architecture - Second Edition
Credits
Foreword
About the Author
Acknowledgements
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
Index

Volume testing


In this chapter, we have used the 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 at least 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 amongst 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 data values change within a batch of records. For example, the Apex script used in this chapter could...