Engineering & DevOps
Releases that do not need a maintenance window.
Salesforce delivery fails on release engineering more often than on features. This is the practice that fixes it.
The usual failure
What usually goes wrong.
- Changes move between orgs by hand, so nobody can say with certainty what is in production.
- There is no automated test coverage, so every release is a manual regression cycle.
- Environments drift, and the sandbox stops predicting what production will do.
What we deliver
Specifically, this.
CI/CD pipelines with automated deployment and rollback
Environment and branching strategy that matches how the team actually works
Automated test coverage, including Apex and integration paths
Infrastructure as code, reviewable in the same way application code is
How we work
Four phases, and you can leave after any of them.
Architecture review
A working session with the engineers who would deliver it. We map the current estate, the constraints, and where it will break at the next order of magnitude.
Design
Data model, integration surface, security model, and release strategy — written down, reviewed with your team, and agreed before anyone builds.
Build
Delivered in reviewable increments against automated tests, in environments that predict production.
Run
Handover to your team with the pipeline, the tests, and the documentation. Or we keep running it. Both are fine; being unable to leave is not.
Integration surface
Nothing on this platform lives alone.
Integration architecture is usually the hardest part of these programmes and where we spend the most design time. These are the systems this practice most often connects to.
- Git hosting and CI runners
- Static analysis and code quality
- Observability and alerting
- Change management systems
Related practices
These usually travel together.
Bring us an architecture problem.
A working session with the people who would actually deliver it. No pitch deck.
Book an architecture review