Move to Modern DevOps

“Deployments are manual, scary, and take all day”

No CI/CD pipeline. Deployments involve SSH, manual scripts, and a prayer. Rollbacks mean restoring from a backup somebody hopefully made. Your team dreads release days.

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Where you'll be

Every change tested, built, and deployed automatically. Rollbacks are instant.

Automated pipelines from commit to production. Every release tested and repeatable. Your team ships daily without drama and rolls back in seconds when needed.

Release day shouldn’t be the most stressful day of the sprint. But when deployments are manual, untested, and irreversible, every release carries the risk of breaking production, and the team knows it.

So releases get batched. Changes pile up. The batch gets bigger, riskier, and harder to debug when something goes wrong. Your team deploys less often because deploying is painful, and deploying is painful because they do it so rarely. It’s a vicious cycle.

Why manual deployments persist

The problem isn’t that your team doesn’t know CI/CD exists. It’s that automation requires foundations that aren’t in place.

You can’t automate deployments without tests to validate them. You can’t write meaningful tests without a proper branching strategy and code review process. You can’t deploy infrastructure automatically if it was configured by hand and nobody documented how. And you can’t adopt Infrastructure as Code without understanding what your infrastructure actually looks like today.

Each missing piece blocks the next. Teams attempt to bolt CI/CD onto the top of this stack and wonder why it doesn’t stick. The pipeline runs, but nobody trusts it. Because the layers underneath are shaky.

How we do it

We build the full stack, from version control discipline through to production deployment. Because a pipeline is only as reliable as the practices feeding it.

Git foundations first. A branching strategy that matches your team and release cadence. Protected branches, pull request workflows, and code review gates. Simple, but non-negotiable. This is where deployment confidence starts.

Test automation that earns trust. Automated tests written alongside pipeline development. Unit tests catch regressions. Integration tests validate behaviour. Deployment smoke tests confirm production is healthy. CodeBuild runs everything on every push.

Pipeline from commit to production. CodePipeline orchestrates the full journey. Build, test, stage, deploy. Every environment gets the same artefact. Rollbacks are a single click, not a restoration from backup.

Infrastructure through the same pipeline. Your servers, networking, and services defined in CDK or Terraform and deployed through the same CI/CD process. No more snowflake servers. No more configuration drift. Infrastructure changes are reviewed, tested, and auditable, just like application code.

What's usually in the way

  1. No version control discipline or branching strategy

    Code changes happen on a single branch, or worse, directly on the server. There's no pull request workflow, no code review, and no way to trace what changed and when.

  2. Tests are manual or nonexistent

    Nobody runs tests before deploying because there aren't any to run. Quality assurance means someone clicking through the application after a release and hoping nothing looks wrong.

  3. Infrastructure isn't codified

    Your servers were configured manually, months or years ago. Nobody can recreate them from scratch. You can't automate deployments to infrastructure that isn't defined in code.

What we resolve

  1. Git workflow designed for your team

    A branching strategy that fits your team's size and release cadence. Pull requests, code review, and protected branches. Simple enough to follow, disciplined enough to trust.

  2. Automated test pipeline from commit to deploy

    Unit tests, integration tests, and deployment validation running automatically on every push. CodeBuild executes the pipeline. Failures block the release before they reach production.

  3. Infrastructure as Code through the same pipeline

    Your infrastructure defined in CDK or Terraform and deployed through the same CI/CD pipeline as your application. Environments are identical because they're built from the same code.

Ready to take the next step?

No obligation, just a clear conversation about where you are and what's possible.