One org. One repository.
A deliberate repository structure tied to a development org first, with branch rules, ownership, ignore patterns, and a documented source-of-truth decision.
A guided Salesforce-to-GitHub implementation that gives your team a private repository, scheduled metadata snapshots, traceable change history, and a runbook you own.
The first deliverable is a small, inspectable system your team can run. It creates the source-control foundation for future deployments, audits, documentation, and automation without forcing a heavyweight DevOps platform on day one.
A deliberate repository structure tied to a development org first, with branch rules, ownership, ignore patterns, and a documented source-of-truth decision.
A scheduled workflow retrieves the approved metadata scope, commits meaningful changes, and leaves a readable history instead of another opaque dashboard.
Diffs reveal repeated edits, surprise production changes, churn in the same components, and the exact point where the repository diverged.
Your team receives setup notes, recovery steps, rotation guidance, troubleshooting, and a plain-English map of what every workflow does.
Use private repositories, environments, workflow permissions, pull requests, review rules, issue tracking, and notifications your team already understands.
The experience is framed around a few repeatable operations so an admin can inspect results and run approved jobs without pretending to be a terminal expert.
The default path starts with a development org, a private repository, and a metadata-only workflow. Production access and data exports are separate decisions, not assumptions hidden inside the setup.
Pricing is intentionally shaped around a contained proof, a reusable kit, or a guided rollout. Production data export, compliance-specific controls, and custom deployment automation are scoped separately.
Confirm whether GitHub enablement is appropriate before anyone touches production.
A guided set of source files and instructions for a technical team that wants to implement the baseline internally.
A working non-production pilot built with your team, then documented for repetition.
Controlled production enablement after the pilot is proven and the security path is agreed.
The baseline is designed to minimize blast radius and make every storage and authorization decision explicit. No production data export is enabled until the destination, retention, and access model are approved.
GitHub remains the source-control layer. Google Drive and Colab can be added later for approved data-export destinations, operator notebooks, report archives, and cloud-based utilities that do not require a local workstation.
Versioned metadata, workflows, documentation, and review history.
Optional encrypted or access-controlled export folders and retained reports.
Optional guided notebook for approved manual operations, validation, and reporting.
This approach is strongest when the team wants transparent files, has a named GitHub owner, and accepts that a lightweight system trades managed-platform conveniences for control and lower recurring cost.
Organizations requiring turnkey restore guarantees, regulated data handling, complex release orchestration, or 24/7 platform support may need a licensed backup or DevOps product alongside consulting.
Short practical articles explain what the repository captures, what it does not, and where the line sits between metadata history, data export, deployment automation, and managed backup.
Salesforce metadata and Salesforce record data have different risk, retention, and recovery requirements. They should not be treated as one backup artifact.
Read article →A development-org pilot lets the team learn repository structure, authorization, retrieval behavior, and workflow failures before production access is involved.
Read article →A nightly metadata commit is not magic backup software. It is a durable change history that makes drift, repeated edits, and surprise production work…
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