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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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
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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.
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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.
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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
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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.
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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.
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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.
Frequently asked questions
What does a CI/CD pipeline give us that we don't have now?
Every commit gets tested, built, and deployed the same way, every time. Deployment goes from a manual ritual to a routine event your team trusts. Most clients move from weekly or monthly releases to daily, with fewer rollbacks rather than more. The bus factor on your release process drops to zero.
How long does it take to set up?
Most engagements run 4-8 weeks for the first production-ready pipeline. Discovery and pipeline design takes 1-2 weeks, build takes 2-4, and the parallel-running validation takes another 1-2. Your team is using the pipeline within the first month, even if the migration of all services takes longer.
Do our developers need to change how they work?
A little, and for the better. Pull requests and code review become standard. Test coverage matters. Long-lived branches get shorter. The friction your team feels at first turns into confidence within a few sprints. We pair with your engineers during the rollout so the new flow is theirs, not ours.
What happens when something goes wrong in production?
Rollback is one command, or automatic if the deployment health check fails. Every release is tagged, versioned, and reproducible. The blast radius is small because deploys are small. Most issues never reach end-users because they're caught in the pipeline before deploy.
Does this work for legacy applications too?
Yes, with caveats. If your application can be deployed at all, it can be deployed by a pipeline. Where the deploy process is genuinely complex, we automate it step by step rather than rewriting it. Most legacy applications gain more from CI/CD than greenfield ones, because the manual steps were the biggest source of risk.
Ready to take the next step?
No obligation, just a clear conversation about where you are and what's possible.