News, insights & events in the world of Salesforce DevOps
David Runciman
Flows changed significantly with v44 of the Salesforce Metadata API. Find out how this change impacts your Flow deployments, and how Gearset helps you solve common Flow errors.
Calvin Childs
After a successful Salesforce deployment in Gearset, GitHub users can now create a pull request from a feature branch in just a few clicks, without having to use the GitHub UI.
Tom Smith
Gearset's data deployment filters now let you exclude records
Catherine Bacon
We've added a problem analyzer so we can let you know when one of your custom fields has a different type in the source and target.
Tom Smith
Gearset's data deployment templates let you save data deployment configurations, making it easy to repeat a data deployment
Alex Walter
Automatically fix deployment problems when deploying installed packages with metadata API version 43.
Ellis Toms
Combine multiple sucessful deployments into a single deployment package and speed up your release cycle with Gearset.
Ellis Toms
In the age of Salesforce DX, the way we build on the Salesforce platform is changing. Part of that change includes the addition of scratch orgs. Dedicated to bringing the benefits of DX to admins as well as developers, we added the ability to create a scratch org in Gearset with just one click. Our latest beta now also lets you create scratch orgs from any existing definition files, without having to resort to the CLI.
Ellis Toms
In Gearset you can now add outgoing webhooks to a CI job and Gearset will automatically post out to your added URL on the events specified for each run, giving you a more streamlined and successful release process.
Ellis Toms
Set up validation-only CI jobs between any of your Salesforce orgs or from your source control system in Gearset, so you can catch any problematic changes early and ensure successful deployments.
Ellis Toms
With a customisable test data set, automatic relationship handling and control over field mapping and upserting, Gearset makes it easy to execute complex data deployments between your Salesforce environments.
Ellis Toms
With Gearset’s data deployments, you can now migrate your Salesforce data between any of your existing orgs or to a Salesforce DX scratch org for quick and safe testing.
Ellis Toms
Gearset’s Jira integration lets you automatically post deployment updates to your tickets and track your user stories. Gearset now supports Jira Self-hosted (on-prem) as an instance type, as well as Jira Cloud.
Oli Lane
See how Gearset helps you spot potential deployment issues: deploying objects with Chatter feed tracking changes.
Ellis Toms
With Gearset’s SFDX scratch org support, you’ll be able to easily configure clean environments for building packages and testing, regardless of your technical background.
Catherine Bacon
See how Gearset helps you detect metadata retrieval issues.
Ellis Toms
With Gearset, managing the metadata in your version control system is ingeniously simple. Compare environments, create new branches and commit changes, all from within the app.
Stephen Chambers
Sometimes you don't want a CI job to run that you've created in Gearset. We've now the ability to enable and disable currently live CI jobs from running when required.
Jason Mann
With Gearset, you can compare and deploy your Salesforce metadata to and from any git-based souce control system for ingeniously simple release management.
Oli Lane
Migrating Salesforce managed packages is now even easier with Gearset's new namespace filtering feature
Jason Mann
We’ve recently been improving Gearset’s dependency and problem analysis engine to help deal with some of the challenges of deploying record types and picklist fields.
Oli Lane
A quirk of the Salesforce Metadata API means that it can be tricky to retrieve layouts inside managed packages. Gearset now handles this case automatically.
Oli Lane
The Salesforce Winter ’17 release has introduced a big change to the way picklists are represented in the metadata. Gearset can now automatically detect dependencies between picklists and standard value sets.
Andrew Hunter
Working with as much Salesforce metadata as we do can throw up all sorts of interesting quirks but this one almost had us stumped. How did we end up with two CustomMetadata items with the same name?
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