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build and run

DevOps: ship weekly, recover in 10 minutes

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.

FIG. 01DevOps & Cloud · live demo

Build model

Fixed scope

Timeline

2–8 weeks

Runtime

Monitored

Handover

Owned by your team

Delivery blueprint

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.

Deploys you schedule a week around

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.

What we set up

CI/CD pipelines with guardrails

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

Infrastructure as code

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

Monitoring that pages before customers call

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.

How this ships

Week 1

Audit — count the manual steps

Risk map of every manual step and single point of failure, plus a fixed quote

Week 2

Blueprint — design the pipeline

Pipeline architecture: environments, test gates, rollback strategy, alert thresholds

Weeks 3–5

Build — automate the first deploy

First fully automated production deploy — with rollback demonstrated live

FAQ

What does a DevOps setup cost?

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.

How long until our first automated deploy?

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.

Do we have to change clouds or rewrite anything?

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.

How do you handle access to our production systems?

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.

Get a fixed quote for DevOps

Fill this quick form and we’ll send a fixed written quote for this exact build.

01 The project
02 The fit
03 Where to send the plan
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