Version control
August 10, 2023
Why you need version control for data
Here’s why a traditional backup solution isn’t enough
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Do you use a backup system for Salesforce CPQ, Advanced Approvals, or B2B Commerce? Then you might think you don’t need version control for data. Well, it’s time to rethink that.
Relying solely on a backup system to track changes in your change management process can result in a bunch of headaches, from delayed releases to risk of noncompliance. On the flip side, using a version control system (VCS) like GitHub for configuration data—as well as metadata—offers significant benefits, including documentation of all changes, conflict management, enhanced collaboration, rollback precision, and more.
Backup
Version Control System
While a backup system is absolutely necessary to protect you against data loss or corruption, version control for data is a game-changer for Salesforce ALM. It goes beyond just tracking changes—it offers in-depth insight into the evolution of every configuration. And that helps with a bunch of things, such as compliance, conflict detection and resolution, and innovation in Salesforce CPQ and other configuration data-driven apps.
Some regulations and industry standards—like the Sarbanes-Oxley Act of 2022 (SOX)—mandate documentation of all changes to specific types of data. A VCS meticulously records every modification to configuration data, which provides you with a clear picture of the who, what, and when of each change. This is worth its weight in gold when it’s time for an external audit.
Whether it’s in Salesforce CPQ, Conga Composer, B2B Commerce, or Advanced Approvals, multiple team members often make changes at the same time. However, this can result in overlaps or even conflicts in configurations. In situations like this, a traditional backup solution might show you a snapshot of a past state—but that likely won’t tell you much about the origin of the conflict.
This is where source control truly shines. Let’s say you want to make a change to a configuration, but so does your coworker… and the two changes aren’t compatible. A VCS instantly identifies and flags the potential conflict. Thanks to this proactive detection, you can streamline collaboration and minimize disruptions.
Version control for data empowers you to be agile and innovative. Thinking of introducing a new template in Conga Composer? Or revising a customer journey in B2B Commerce? With version control for data, you can experiment and try new configurations without worrying about breaking anything.
If a modification doesn’t do what you want, it’s simple and straightforward to roll back to a state before the change. Plus, in the event an issue does happen, using a VCS saves you a ton of time and work. Instead of plowing through reams of data to find the issue, let the VCS flag a recent configuration change that might be the culprit.
The difference between backups and version control is like night and day. You need both—and you can’t replace one with the other. Backups are like static snapshots without any context, while a VCS provides clear visibility into configuration changes, along with all the interrelationships between objects. This enhanced visibility accelerates the change management process, facilitates agile decision making, and ensures efficient operations. By incorporating version control for data into your ALM process, you’re setting the stage for smoother operations, as well as for innovation and sustainable growth.
Yes, you can—in fact, it’s recommended to do so to maximize data protection, management, and usage. A backup is a safety net in the event of data loss or corruption, while version control shows how the data has changed over time.
No, it doesn’t. While VCS can make it easier to navigate an audit by providing detailed documentation of changes, the purpose of an external audit is to offer a third-party perspective on your compliance posture.
If you’re new to the concept of version control, the initial setup and transition to using it can take some time. That said, the long-term benefits—including streamlined operations, fewer code conflicts, and enhanced collaboration—make the investment of time and effort worthwhile.
Do you use a backup system for Salesforce CPQ, Advanced Approvals, or B2B Commerce? Then you might think you don’t need version control for data. Well, it’s time to rethink that.
Relying solely on a backup system to track changes in your change management process can result in a bunch of headaches, from delayed releases to risk of noncompliance. On the flip side, using a version control system (VCS) like GitHub for configuration data—as well as metadata—offers significant benefits, including documentation of all changes, conflict management, enhanced collaboration, rollback precision, and more.
Backup
Version Control System
While a backup system is absolutely necessary to protect you against data loss or corruption, version control for data is a game-changer for Salesforce ALM. It goes beyond just tracking changes—it offers in-depth insight into the evolution of every configuration. And that helps with a bunch of things, such as compliance, conflict detection and resolution, and innovation in Salesforce CPQ and other configuration data-driven apps.
Some regulations and industry standards—like the Sarbanes-Oxley Act of 2022 (SOX)—mandate documentation of all changes to specific types of data. A VCS meticulously records every modification to configuration data, which provides you with a clear picture of the who, what, and when of each change. This is worth its weight in gold when it’s time for an external audit.
Whether it’s in Salesforce CPQ, Conga Composer, B2B Commerce, or Advanced Approvals, multiple team members often make changes at the same time. However, this can result in overlaps or even conflicts in configurations. In situations like this, a traditional backup solution might show you a snapshot of a past state—but that likely won’t tell you much about the origin of the conflict.
This is where source control truly shines. Let’s say you want to make a change to a configuration, but so does your coworker… and the two changes aren’t compatible. A VCS instantly identifies and flags the potential conflict. Thanks to this proactive detection, you can streamline collaboration and minimize disruptions.
Version control for data empowers you to be agile and innovative. Thinking of introducing a new template in Conga Composer? Or revising a customer journey in B2B Commerce? With version control for data, you can experiment and try new configurations without worrying about breaking anything.
If a modification doesn’t do what you want, it’s simple and straightforward to roll back to a state before the change. Plus, in the event an issue does happen, using a VCS saves you a ton of time and work. Instead of plowing through reams of data to find the issue, let the VCS flag a recent configuration change that might be the culprit.
The difference between backups and version control is like night and day. You need both—and you can’t replace one with the other. Backups are like static snapshots without any context, while a VCS provides clear visibility into configuration changes, along with all the interrelationships between objects. This enhanced visibility accelerates the change management process, facilitates agile decision making, and ensures efficient operations. By incorporating version control for data into your ALM process, you’re setting the stage for smoother operations, as well as for innovation and sustainable growth.
Yes, you can—in fact, it’s recommended to do so to maximize data protection, management, and usage. A backup is a safety net in the event of data loss or corruption, while version control shows how the data has changed over time.
No, it doesn’t. While VCS can make it easier to navigate an audit by providing detailed documentation of changes, the purpose of an external audit is to offer a third-party perspective on your compliance posture.
If you’re new to the concept of version control, the initial setup and transition to using it can take some time. That said, the long-term benefits—including streamlined operations, fewer code conflicts, and enhanced collaboration—make the investment of time and effort worthwhile.
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