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Cloud & DevOps · CI/CD
CI/CD pipeline setup that makes every change go through the same checks
We build pipelines that compile, test and package your code on every push, then promote the same artifact through staging and production with the approvals you choose.
What is CI/CD Pipelines?
CI/CD pipeline setup is the work of automating how code changes are built, tested and released. Continuous integration (CI) runs builds and automated tests on every commit or pull request; continuous delivery or deployment (CD) packages the result and moves it through environments to production, either automatically or after an approval. A well-built pipeline makes releasing a routine, repeatable step rather than a manual procedure.
Without a pipeline, quality depends on memory. Tests are skipped when a deadline is close, a build works on one laptop and not another, and production is updated by copying files or running commands over SSH. Each manual step is a chance for a mistake that nobody can trace afterwards.
What breaks when releases are manual
Slow or flaky pipelines
A pipeline that takes too long or fails randomly gets ignored or bypassed, which defeats its purpose.
Secrets in the wrong places
API keys and server passwords pasted into scripts or repository files become a security problem the moment the code is shared.
Different artifacts per environment
Rebuilding separately for staging and production means what was tested is not exactly what was released.
Our CI/CD Pipelines service
Continuous integration
Builds, linting, unit and integration tests run on every pull request, with results reported back to the code review.
Build once, promote everywhere
A single versioned artifact or Docker image produced per change and promoted unchanged from staging to production.
Environments and approvals
Development, staging and production environments with protection rules, required reviewers and manual approval gates where you want them.
Security checks in the pipeline
Dependency vulnerability scanning, secret detection and container image scanning as standard pipeline steps.
Deployment automation
Deploy steps to VPS servers, managed container services, Kubernetes, serverless platforms or Odoo.sh-style Git workflows, including database migrations.
Pipeline performance
Caching, parallel jobs and test splitting so feedback arrives quickly enough that developers wait for it.
Included capabilities
- GitHub Actions or GitLab CI workflows as code
- Pull request checks and status reporting
- Dependency and build caching
- Docker image build and registry push
- Versioned, immutable release artifacts
- Environment-scoped secrets
- Manual approval gates for production
- Automated database migrations
- Deployment notifications to chat
- Reusable workflow templates across repositories
What CI/CD Pipelines changes for your business
Consistent quality gates
Every change passes the same checks, regardless of who wrote it or how close the deadline is.
Traceable releases
Each production version links back to the commit, pull request and pipeline run that produced it.
Less time on deployment chores
Developers merge and move on instead of running deployment commands by hand.
Earlier feedback
Broken builds and failing tests surface within minutes of a push, while the change is still fresh in mind.
Where it makes the biggest difference
Web applications
React, Next.js or PHP applications tested on every pull request and deployed to staging automatically for review.
APIs and backends
Node.js or Python services built into Docker images and rolled out to containers with database migrations run in order.
Mobile apps
Flutter builds and tests on each change, with signed release builds produced by the pipeline instead of a developer's machine.
Odoo custom modules
Module linting and tests run before changes reach a staging database, then promoted to production in a controlled step.
Building the pipeline in stages
CI comes first, so the team trusts the checks before deployment is automated.
Review
Walk through how code is built, tested and deployed today, including every manual step.
Design
Agree branch strategy, environments, approval rules and the deployment target for each application.
Build CI
Automate build and tests on pull requests first, so feedback improves before deployment changes.
Add CD
Automate deployment to staging, then to production behind the approvals you chose.
Harden
Move secrets to the platform's secret store, add scanning and restrict who can change the pipeline.
Hand over
Document the pipeline, train the team and agree how future changes to it are reviewed.
What it connects to
CI/CD Pipelines
- GitHub Actions
- GitLab CI/CD
- Bitbucket Pipelines
- Docker Hub and cloud container registries
- AWS, Google Cloud and Azure
- VPS hosts over SSH
- Kubernetes clusters
- Slack and Microsoft Teams
Built with
GitHub Actions or GitLab CI?
| Criterion | GitHub Actions | GitLab CI/CD |
|---|---|---|
| Best when | Code is already on GitHub | Code is on GitLab, or you want one self-hosted platform |
| Pipeline definition | YAML workflows in .github/workflows | YAML in .gitlab-ci.yml |
| Reusable components | Marketplace actions and reusable workflows | Templates, includes and CI/CD components |
| Self-hosted runners | Supported | Supported |
| Self-hosting the whole platform | GitHub Enterprise Server | GitLab self-managed, including a free tier |
Security, quality and scale
Managed secrets
Credentials stored in the CI platform's encrypted secrets, scoped per environment and never echoed in logs.
Short-lived cloud credentials
OpenID Connect federation to cloud providers where supported, instead of long-lived access keys.
Protected branches
Required reviews and passing checks before merging to main, and restricted rights to edit pipeline definitions.
Scales with the codebase
Caching and parallel jobs keep pipeline times manageable as the test suite grows.
What working with us looks like
Pipelines for the stack you have
We write software in JavaScript, Python, PHP and Flutter, so we know what each needs to build and test properly.
Readable workflows
Pipelines are kept short and documented so your team can maintain them without us.
Deployment experience
We also manage servers and containers, so the deploy stage reflects how the target actually behaves.
Security included
Secrets handling and scanning are part of the default setup, not an optional extra.
What it costs
Fixed-price packages with the scope written down, paid stage by stage. Your project goes live once it's fully paid.
Related services, technologies and industries
Sources and further reading
Official documentation and guidance if you want to read more about this topic.
CI/CD Pipelines: questions we hear most
What is the difference between continuous delivery and continuous deployment?
Continuous delivery means every change is automatically built, tested and made ready to release, with a person approving the production deployment. Continuous deployment removes that approval so every change that passes the pipeline goes to production. Most business teams start with continuous delivery.
Should we use GitHub Actions or GitLab CI?
Use the CI system built into the platform that already hosts your code, unless there is a strong reason not to. Both handle builds, tests, environments and approvals well; the deciding factors are usually where repositories live and whether you need to self-host.
Do we need automated tests before setting up CI/CD?
No, but the pipeline is far more valuable with them. We usually start with builds, linting and whatever tests exist, then help add tests for the most important paths so the pipeline catches real problems.
Can the pipeline deploy to a plain VPS?
Yes. Pipelines can deploy to a VPS over SSH, pull a new Docker image and restart services, or run a deployment tool on the server. A container registry and a managed platform are useful but not required.
How are database changes handled in a pipeline?
Database schema changes run as versioned migrations, executed by the pipeline in a defined order during deployment. We design them to be backward compatible where possible, so the previous application version still works if a rollback is needed.
Next step
Automate your next release
Tell us where your code lives and where it runs. We'll suggest the pipeline stages, environments and approvals that fit your team.