Title: Optimizing Salesforce DX with Automated Release Management
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- Optimizing Salesforce DX with Automated Release
Management
2Here are 6 ways automated release management
optimizes development efforts for Salesforce DX
- Integrate Scratch Orgs
- Update the Interface
- Expand Testing Capabilities
- Streamline Deployments
- Support Data Security Measures
- Ensure Proper Handling of Metadata
31. Integrate Scratch Orgs
- Working within a singular environment creates a
much higher potential for costly errors that can
impact that stability of your update and create
redundant work for team members. Multi-developer
teams working within Salesforce DX have the
potential to create strong updates quickly, but
only if they have the necessary infrastructure to
develop and test their individual contributions
to an update or application.
2. Update the Interface
Salesforce DX is a way to work in a dev
environment that is more familiar for many
developers. A traditional dev environment will
differ from the standard Salesforce interface.
This has both advantages and disadvantages.
43. Expand Testing Capabilities
- Its important to get things right the first time
in software development. Finding bugs and errors
later in the process makes them much more
expensive to fixredundant work is a drain on
team member time, taking them away from
furthering new projects while also delaying the
current project.
4. Streamline Deployments
There are essential, automated DevOps tools
available that can streamline the integration of
code from multiple sources into a single release
and coordinate the deployment of the product.
55. Support Data Security Measures
- Automated release management isnt just about
expediting your DevOps processes within
Salesforce DX. There also needs to be some
consideration for data security. Weve mentioned
how static code analysis can help create more
stable products.
6. Ensure Proper Handling of Metadata
Your Salesforce data is important, but it isnt
the only consideration for data governance.
Salesforce DX users create a constant stream of
new metadata, either through relationships
between objects and fields, or descriptive
metadata of new data.
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