DevOps and CI/CD that make deployment boring
Automated pipelines, infrastructure as code, and monitoring that turn releases from an event into a routine — with a rollback path that has actually been tested.
- build
- test
- deploy
- monitor
- CI/CD pipelines
- Infrastructure as code
- Environment management
- Best when
- Deployments are manual and stressful, and outages are reported by users.
- Not a fit when
- You ship once a year and that is fine.
- First thing you get
- A pipeline to a staging environment, with a rollback that has been rehearsed.
What is DevOps and CI/CD?
DevOps is the practice of engineering and operations sharing responsibility for shipping and running software. CI/CD, continuous integration and continuous delivery, automates the path: every change is built and tested automatically, then deployed without manual steps. We set up pipelines, infrastructure as code, monitoring and a rollback that has actually been rehearsed.
You can measure the health of an engineering organisation by how it feels to deploy. If releases happen on Friday afternoon without ceremony, things are working. If they need a scheduled window, a checklist, and someone senior watching, that friction is suppressing your delivery speed.
We build the pipeline that removes it: automated testing, reproducible environments, deployments that do not need a human at the keyboard, and a rollback that has been rehearsed rather than assumed.
What this includes
- 01
CI/CD pipelines
Automated build, test, and deploy triggered by merges rather than by people.
- 02
Infrastructure as code
Environments defined in version control so they are reproducible and reviewable.
- 03
Environment management
Development, staging, and production that actually resemble each other.
- 04
Monitoring and alerting
Metrics, logs, and traces with alerts that fire on real problems rather than noise.
- 05
Automated testing gates
Quality checks that block a bad release rather than reporting on it afterwards.
- 06
Rollback procedures
A tested path back, because the plan you have never rehearsed is not a plan.
Situations we see most often
Deployments are manual and stressful
Releases that need a specific person, a checklist, and a quiet window.
Environments do not match
Bugs that appear only in production because staging is configured differently.
You find out about outages from users
No monitoring, or alerts so noisy that everyone has learned to ignore them.
Releases are infrequent and large
Batching weeks of change into one release, which is what makes each one risky.
What to know before you start
What does a CI/CD pipeline do?
Continuous integration builds and tests every change automatically as soon as it is pushed, so problems are caught within minutes rather than at release time. Continuous delivery then takes changes that pass through staging to production through the same automated steps every time.
The result is that releasing becomes routine: small, frequent, low-risk changes instead of large, stressful releases that need a scheduled window and a senior person watching.
What is infrastructure as code?
It means describing servers, networks, databases and permissions in version-controlled files, with tools such as Terraform, instead of configuring them by hand in a console. Environments are then created from the same definitions, so staging genuinely matches production.
Changes to infrastructure are reviewed like code changes, history is kept, and a lost environment can be rebuilt from the repository rather than from memory.
Why rehearse the rollback?
Because a rollback that has never been tried is a hope, not a plan. Database migrations, configuration changes and cached assets can all make going back harder than it looks.
We test rollback as part of setting up the pipeline, so when a release does go wrong, reverting is a known, quick procedure instead of an improvised one during an incident.
How do you find out about problems before users do?
With monitoring and alerting on what matters to users: error rates, response times, failed jobs and resource limits, using tools such as Prometheus, Grafana, OpenTelemetry and Sentry. Alerts go to the people who can act, with enough context to start diagnosing straight away.
How do you manage secrets and environment configuration?
Secrets such as database passwords and API keys live in a secret manager, never in code or in plain configuration files, and are injected into each environment at deploy time with access limited to what needs them.
Configuration differences between environments are explicit and version-controlled, which is most of what makes staging a reliable rehearsal for production.
What does a mature release process look like?
Small changes merged often, each built and tested automatically, deployed to staging without anyone touching a server, and promoted to production with one approval. Releases can happen any day of the week, and a bad one is reverted in minutes.
Getting there is gradual. We start with the step that causes the most pain today and improve the pipeline release by release.
What drives the cost of DevOps and CI/CD work?
A working pipeline for a typical application is usually two to four weeks. These factors make it shorter or longer.
| Factor | Effect | Why it matters |
|---|---|---|
| Current state | High | Manual deployment steps and undocumented configuration take the longest to untangle, mostly in discovery. |
| Number of services and environments | High | Each service and each environment needs its own pipeline stages, configuration and secrets. |
| Test coverage | Medium | Automated gates are only as useful as the tests behind them; thin coverage may need tests written first. |
| Infrastructure as code | Medium | Codifying existing hand-built infrastructure is careful work, and pays off at the first rebuild. |
| Monitoring depth | Medium | Basic uptime checks are quick; tracing, dashboards and tuned alerts take longer. |
| Compliance controls | Low | Approvals, audit logs and change records can be built into the pipeline with modest effort. |
What a typical engagement looks like
- 011–3 weeks
Discover
Process map
- 022–4 weeks
Design
Interactive prototype
- 03two-week cycles
Build
Working software each cycle
- 04ongoing
Ship & support
Automated pipeline
What we build it with
- CI/CD
- GitHub ActionsGitLab CIDocker
- Infrastructure
- TerraformKubernetesCloud-native services
- Observability
- PrometheusGrafanaOpenTelemetrySentry
Questions we get asked
01How long does it take to set up a pipeline?
A working CI/CD pipeline for a typical application is usually two to four weeks including environment setup and monitoring. Legacy systems with manual deployment steps and undocumented configuration take longer, mostly in discovery.
02Can you work with our existing infrastructure?
Yes. We prefer to improve what you have rather than propose a migration you did not ask for. Where the existing setup is genuinely the obstacle, we will say so and give you the reasoning.
03Do you provide ongoing operations support?
Yes, as part of a maintenance retainer — monitoring, incident response, and infrastructure updates on a defined cadence.
04Which CI/CD tools do you use?
Usually GitHub Actions or GitLab CI, with Docker for builds and Terraform for infrastructure. We work with what you already use where it is sound, rather than switching tools for their own sake.
05Will our team be able to maintain the pipeline?
Yes. Pipelines and infrastructure live in your repositories with documentation, and we walk your team through them so they are not dependent on us.
06Can you set up preview environments for each change?
Yes, where the application allows it. Each pull request gets its own short-lived environment, so changes can be reviewed working rather than read as code.
07Do you support on-premise or hybrid infrastructure?
Yes. Pipelines can deploy to your own servers as well as to the cloud, and hybrid setups are common where some systems must stay on-premise for regulatory or practical reasons.
Adjacent capabilities
Tell us what you are building.
Share the problem and we will come back with an approach, a rough shape of the work, and what it would take to deliver it.