Book Image

Salesforce Platform Enterprise Architecture - Fourth Edition

By : Andrew Fawcett
Book Image

Salesforce Platform Enterprise Architecture - Fourth Edition

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)
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

Handling billions of records with Big Objects

The Salesforce Platform inherits relational database design principles and values in a very explicit way and, when you create Custom Objects or when you add lookup or master-detail fields, you are defining a relationship. Defining data in a relational way is a very powerful feature, allowing a rich set of domain-specific data to be expressed, as we have seen with Seasons, Teams, Races, and Contestants so far in this book. We have also seen how we can use access patterns such as SOQL and DML to access that data as a whole in one operation if needed through the use of query joins or transactions (units of work) when updating data over several objects. This behavior is categorized by the acronym known as Atomicity, Consistency, Isolation, Durability (ACID).

When record volumes start to grow, the benefits of ACID come at a performance cost, mostly due to how relational databases in general physically store data on disk, but also its inherent...