Every push to main,
shipped automatically.
CI/CD pipelines, containerized environments, and infrastructure as code — so deploys stop being a manual step someone has to remember to do carefully.
A pipeline the whole team can trust
Not just a green checkmark on GitHub — a documented, observable path from commit to production.
CI/CD pipeline setup
GitHub Actions or GitLab CI configured for build, test, and deploy stages, triggered on every push or PR.
Containerized environments
Docker images and compose files so dev, staging, and production stay consistent by construction.
Infrastructure as code
Terraform or Pulumi definitions for servers, databases, and networking — reviewable and version-controlled.
Zero-downtime deploys
Blue-green or rolling releases with health checks before traffic cutover, and automated rollback on failure.
Secrets & config management
Environment variables and credentials handled through a secrets manager, never committed to the repo.
Monitoring & alerting
Uptime checks, deploy notifications, and log aggregation, with dashboards for build and release health.
Tools chosen for what your team already runs
Pipelines are built around your existing repo and hosting, not a rip-and-replace.
Four stages, in this order, every time
Automation gets layered behind the existing deploy process before it replaces it — nothing goes live until it's been proven safe.
Audit the current deploy
Map how code reaches production today, and where manual steps introduce the most risk.
Design the pipeline
Define build, test, and deploy stages, environments, and the rollback strategy before writing config.
Build alongside existing flow
The pipeline runs in parallel with manual deploys until it's proven reliable across real releases.
Cut over & monitor
Manual deploys retire once automated ones are trusted, with monitoring and alerts already in place.
Built for teams shipping without a DevOps hire
Startups deploying manually
Teams still SSH-ing in to pull and restart, without a safety net if something breaks mid-deploy.
Growing engineering teams
Multiple developers pushing code where an untested deploy can now affect everyone else's work.
Products moving to containers
Apps running directly on a server that need to move to Docker for consistency across environments.
Teams with recurring outages
Deploys that keep going wrong the same way, with no monitoring in place to catch it early.
Three ways to work together
Exact pricing depends on infrastructure complexity and how much can run in parallel with the current setup — scoped after a short discovery call.
Project-based pipeline setup
A defined pipeline and deploy strategy, delivered against a fixed scope. Best when the target setup is already clear.
- Pipeline + containers + docs
- Fixed price, milestone-based
Hourly infrastructure work
For evolving needs — new environments, scaling changes, or incident response added as they come up.
- Weekly progress + working demos
- Scope adjusts as you learn
DevOps retainer
Monthly reserved capacity for infrastructure changes, monitoring response, and pipeline maintenance.
- Priority incident response
- Monthly capacity reserved
Common questions
A CI/CD pipeline covering build, test, and deploy stages, containerized environments with Docker, infrastructure defined as code, environment-specific configs and secrets management, and rollback-ready deployment strategies. Monitoring and alerting are set up before handover.
GitHub Actions and GitLab CI are the most common pipelines built, running on AWS, DigitalOcean, or Google Cloud. Terraform or Pulumi is used for infrastructure as code depending on team preference.
Yes. The current deploy process is mapped first, then automated incrementally behind the existing workflow, so manual deploys stay available as a fallback until the pipeline is proven in production.
Through blue-green or rolling deployments, health checks before traffic cutover, and automated rollback if a health check fails post-deploy. The exact strategy depends on the hosting environment and traffic pattern.
Yes — most engagements are with small engineering teams that need production-grade CI/CD without hiring a full-time DevOps role. Pipelines are documented so any developer on the team can maintain them afterward.
Uptime checks, error tracking, deploy notifications, and log aggregation are configured as standard, with dashboards for build success rate and deployment frequency.
Often paired with
Still deploying by hand?
Send over how code reaches production today. A scoped pipeline plan, with stages and rollout strategy, follows from there.