News, insights & events in the world of Salesforce DevOps
Gabriel Cowley
Gearset will now create a GitHub commit build status every time a CI job with a GitHub repository source runs for greater visbility into your job while working within GitHub.
Alex Walter
Four new features to help you configure your data deployments.
Eric Kintzer
Tips and tricks to get more success with CI on Salesforce.
Calvin Childs
To make sure your release process is as streamlined as possible, we've now added a new integration with Azure DevOps boards. You can now attach work items to your Salesforce deployment from within Gearset, and we'll automatically update your items once you’ve successfully deployed, all without leaving the app.
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.
Oli Lane
Lightning Web Components are an exciting new way of building Salesforce Lightning components, built on top of cutting-edge web technologies.
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
To make your team understands the context of all their Salesforce deployments, Gearset now copies across any deployment notes when you clone or combine deployment packages, so you don’t have to.
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
Gearset has recently upgraded the version of PMD our static code analysis is built on, from 5.8.1 to 6.3.0. In this upgrade PMD fixed a few bugs but also added the ability to suppress Apex code warnings, as well as 16 new rules, giving you more power to tailor your rule set to your needs.
Ellis Toms
We want to make configuring your deployments as fast and easy as possible. One way we try to do this is through custom metadata filtering. With the latest release, you can now add regex patterns to object-level filters to specify exactly which objects to include. You can also now pick specific items you want to exclude too.
Ellis Toms
Gearset's dependency tracking automatically identifies and suggests which dependencies to include in your deployment. Our latest update includes dependency support for Apex classes and triggers.
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
Configure your static code analysis rule set and Gearset will automatically perform your code analysis every time a CI job runs, making it easy to manage the quality and style of your Apex.
Ellis Toms
Gearset's configurable static code analysis now also runs alongside the problem analyzers during manual deployments to help your team maintain the quality and style of your code prior to release and catch bugs early.
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 configurable static code analysis rule sets allow you to easily maintain Apex code and keep on top of what matters; helping you catch any bugs early and ensure that your team is consistently writing effective, safe Apex.
