Build model
Fixed scope
build and run
CI/CD with automated tests and one-command rollback, infrastructure that rebuilds itself from a git repo, and monitoring that pages you before a customer notices. A bad deploy becomes a 10-minute blip, not a weekend fire drill.
Build model
Fixed scope
Timeline
2–8 weeks
Runtime
Monitored
Handover
Owned by your team
Visual summary of what this build includes from quote to handover.
Scope
Written
Deliverables and acceptance checks are fixed before build.
Execution
Instrumented
Retries, logs, and alerts are configured for production.
Controls
Approved
High-risk actions are gated by named human approvers.
Transfer
Owned
Runbook and account ownership move to your team at launch.
The release goes out quarterly because releases are scary: 14 manual steps, one engineer who knows the server, and a deploy window everyone quietly dreads. Batching 3 months of changes into one push doesn’t make it safer — it makes every release the riskiest thing you do.
When it breaks, there’s no rollback — there’s SSH archaeology at 11 pm. DORA’s 2025 research puts elite teams at deploy-on-demand with recovery under an hour, while the median team measures recovery in days. The gap isn’t headcount or budget. It’s pipeline, tests, and rollback — process you can install.
Push to main, tests run, staging updates itself, production ships with one click — and rolls back with one more. Built on GitHub Actions with Docker images, so every deploy is the same deploy.
GitHub Actions · Docker
Your servers, DNS, and networking defined in a git repo. The whole environment rebuilds itself in minutes on a fresh account — no more “it works on the old server,” no more one engineer who holds it all.
Terraform · Docker · AWS
Grafana dashboards on the metrics that matter, Prometheus alerts routed to Slack, uptime checks from outside your network. You find out about the incident from a page, not a support ticket.
Grafana · Prometheus · Slack
ROI math
6 hrs/wk of manual deploys and firefighting × $60/hr × 52 = $18,720/yr recovered — typical setup $4–12k.
Typical for this type of automation — the audit measures your actual deploy tax.
Week 1
Risk map of every manual step and single point of failure, plus a fixed quote
Week 2
Pipeline architecture: environments, test gates, rollback strategy, alert thresholds
Weeks 3–5
First fully automated production deploy — with rollback demonstrated live
Typically $4–12k fixed depending on how many services and environments you run, quoted in writing after the free audit. The tooling itself — GitHub Actions, Terraform, Grafana, Prometheus — is open source or free at SMB scale, so ongoing tool cost is usually $0–100/mo.
First pipeline live in 2–3 weeks; the full setup — infrastructure as code, monitoring, runbooks — lands in 30 days. We start with the service that hurts most, so the risky Friday deploy is the first thing that disappears.
No. We build on whatever you run — AWS, GCP, Hetzner, DigitalOcean — and your application code stays as it is. Infrastructure as code makes moving providers later an option, not an emergency.
Named accounts with least-privilege access, credentials in your vault — never ours — and every infrastructure change lands as a git pull request you can read before it merges. At handover we rotate every secret and walk you through the audit trail.
Fill this quick form and we’ll send a fixed written quote for this exact build.