Customer story
Ping Identity’s Salesforce team released through a homegrown system built on the Salesforce CLI. Developers overwrote each other’s work, and CPQ changes were rebuilt by hand in every environment. When a merger doubled the team, they moved to Gearset Pipelines alongside GitHub — and went from deployments that took days to shipping continuously.
Sound familiar?
Whether you started with a few scripts or standardized on your company’s CI tool, you hit the same problems. Every Salesforce release adds, changes or deprecates metadata types, and your pipeline fixes compete with feature work for your developers’ time. Then add on the problems specific to how you built it.
Why now?
In-house tooling rarely fails all at once. It stops keeping up when something changes around it. If one of these is happening, it’s the right moment to assess whether to carry on building or buy a full platform.
Three times a year, new API versions add, change and deprecate metadata types. If your scripts need repairing after every release, that’s a maintenance cost that you might not have budgeted for.
A compliance milestone means proving who changed what, who approved it and how to undo it — across every org.
An acquisition or migration adds orgs, teams and processes faster than in-house tooling can absorb them.
A failed restore is often the first time a team finds out its backups don’t work the way it assumed.
In-house tooling vs Gearset
Here’s how in-house tooling compares with a purpose-built platform when Gearset takes on the Salesforce-specific work.
| What matters | Build in-house (scripts, SFDX, GitHub Actions) | Gearset |
|---|---|---|
| Time to first governed release | Build in-house (scripts, SFDX, GitHub Actions)  Months of scoping and build before teams are onboarded | Gearset  Up and running in weeks — connect your orgs and Git, build your pipelines and then start releasing |
| Salesforce metadata awareness | Build in-house (scripts, SFDX, GitHub Actions) Dependencies, profiles and destructive changes handled by custom scripts; config data loaded by hand | Gearset Built for Salesforce metadata and config data, including dependency analysis, profiles and destructive changes |
| Admin access | Build in-house (scripts, SFDX, GitHub Actions) Admins trained on Git, VS Code and your custom tooling, and retrained when it changes | Gearset Admins compare, commit and deploy in a UI built for Salesforce, alongside developers working in Gearset or Git |
| Rollback | Build in-house (scripts, SFDX, GitHub Actions) Rebuilt by hand from Git history, usually by whoever knows the scripts | Gearset Roll back from deployment history in a few clicks, with permissions controlling who can |
| Code reviews | Build in-house (scripts, SFDX, GitHub Actions) Static analysis such as PMD, sometimes with AI rules, wired into CI and kept up to date by your team | Gearset Context-aware code reviews on every pull request, with automatic fixes for security vulnerabilities |
| Apex testing | Build in-house (scripts, SFDX, GitHub Actions) Test lists for RunSpecifiedTests maintained by hand, or run every local test and wait | Gearset Tests selected from what's changing in each deployment, while still meeting Salesforce's code coverage rules |
| Pre and post-deployment steps | Build in-house (scripts, SFDX, GitHub Actions) Custom scripts bolted on around the pipeline | Gearset Built into the pipeline |
| Long-running projects | Build in-house (scripts, SFDX, GitHub Actions) Hand-managed branches that drift from production | Gearset Long-term projects that stay in sync with production |
| Audit trail and approvals | Build in-house (scripts, SFDX, GitHub Actions) Approvals and change history stitched together from Git, CI logs and tickets | Gearset Review, approvals and a full audit trail for every change |
| AI-generated change at volume | Build in-house (scripts, SFDX, GitHub Actions) More parallel work streams and PRs than the pipeline was built for, with conflicts untangled by hand | Gearset Pipelines that track every open PR across environments, flag conflicts early and help you resolve them |
| Keeping up with Salesforce | Build in-house (scripts, SFDX, GitHub Actions) Three major Salesforce releases a year, each one a chance to break your release scripts | Gearset New API versions are supported, and version mismatches between orgs are handled automatically |
| Support | Build in-house (scripts, SFDX, GitHub Actions) Your own engineers, fitting pipeline fixes around their roadmap work | Gearset Salesforce DevOps specialists on live chat, with a response in under 5 minutes |
| Total cost | Build in-house (scripts, SFDX, GitHub Actions) A team to run it: typically a lead, a builder, operations developers and a coordinator, plus training in every org | Gearset A predictable subscription, with your team of engineers focused on the roadmap |
Some in-house pipelines are genuinely good. If yours is good, the question is whether your best engineers should be building release tooling that a vendor already ships. For a small developer team with low change volume, a well-maintained script may be all you need. As orgs, teams and audit scrutiny grow, so does the team you need to run it. If your release tooling isn’t what sets your business apart, it’s rarely worth maintaining yourself.
Security and compliance
Gearset helps enterprises in finance, healthcare, and technology deliver secure Salesforce innovation at scale.
We combine advanced governance, compliance support, and scalable release management with a user-friendly interface and rapid onboarding, minimizing operational risk as you scale.
We support robust compliance — CCPA/CPRA, SOX, GDPR, and HIPAA — and provide enterprise‑grade security controls and hosting.
Unlike DevOps tools that are installed within Salesforce, Gearset doesn’t require heavy setup and ongoing maintenance. Gearset delivers enterprise‑grade power without the overhead, which is why leading global organizations choose Gearset to underpin their enterprise DevOps strategy.
In-person pipeline health check
Register your interest for an in-person pipeline check. You’ll get a 1:1 workshop with our Salesforce DevOps experts, who’ll dig into the challenges your team is facing and show you practical ways to solve them with Gearset..
Build if you’re a small, developer-only team with low change volume. Buy when multiple teams release to Salesforce, admins need a way in, or audits and AI-generated changes raise the stakes. At that point, the maintenance and operational risk of custom tools usually outweigh the cost of a purpose-built platform.
Yes, for what it does well. Gearset takes over Salesforce validation and deployment, and can trigger the GitHub Actions workflows you still need — and many teams bring testing into Gearset over time. Git stays your source of truth.
You don’t have to switch everything at once. Gearset works alongside your existing scripts, and we work with you to decide which can be retired and replaced by Gearset — and which to keep and how they fit into your pipeline, for example as status checks. That way you move over without disrupting releases, minimizing risk throughout.
No. Admins compare, commit and deploy from the Gearset UI, while developers keep working in Git and the CLI.
The same way it handles every other change. AI coding tools mean more changes, from more people, arriving faster — and each one still needs testing, review and approval before it reaches production. Gearset applies the same pipeline checks and audit trail whether a person or an AI tool wrote the change, so governance doesn’t rely on someone remembering to check. In-house tooling can do this too, but it’s more scripting to build and maintain as AI usage grows. Gearset’s agent, Cam, works within the same controls — it uses your org’s latest metadata and fixes validation errors before handing over a change for review.
The initial build often is. The ongoing maintenance and Salesforce release changes usually aren’t — and they rarely make it into the business case. Ping Identity estimates it would need a full DevOps team without Gearset, rather than one or two engineers.
Start with five measures: the engineering hours spent maintaining scripts and pipelines each month, how many changes wait on a developer to release, how long a rollback takes and who can do it, how long audit prep takes, and how long it takes to rebuild config data in a new sandbox.
Enterprise rollouts include a dedicated onboarding manager to design your pipeline and branching strategy. Most Enterprise teams need a few hours to build their pipeline, with most teams up and running in weeks, not months.
Book a review with a Salesforce DevOps architect. We’ll look at your current setup and business goals, show you what Gearset would replace and what you’d keep — and how much time your team gets back.
Arrange a tailored demo with our DevOps experts. Kick off the process with a 15-minute call to discuss your requirements.
Talk to an expert in minutes with a 4.9/5 customer happiness rating.
