Time to release
Measured from merge to production.
Merge on the left. Production on the right. The distance is the checklist.
IT Infrastructure & DevOps
The environment the product actually runs on.
Cloud, network, CI/CD, and monitoring as one engagement — from an assessment through a release path your own engineer can run.
- 01Assess
- 02Plan
- 03Build the path
- 04Watch
- iadVirginia
- cdgParis
- bomMumbai
- sinSingapore
- sydSydney
- gruSão Paulo
Drag to turn. Arcs are paths traffic can take — a map, not a live feed.
The usual estate
Three failures we walk into first.
The comparison is the release path itself. Assessment comes before any of these lines are rewritten.
Releases that still depend on one person
−ssh prod && ./deploy.sh
+merge to main → build → deploy → watch
A bill with no map of what is running
−one cloud account, no owner on the bill
+every environment named, with a cost owner
Nothing is watching until someone complains
−the customer reports the incident
+an alert names the service, not a host
The floor
Five parts. One release path.
Swipe across the floor plan.
Where the product ships
Account layout, the migration, and the environments a release is allowed to reach.
How the work actually proceeds.
- 01Assessment
- 02Design and planning
- 03Tool selection
- 04Implementation
- 05Monitoring and support
01 · Assessment
Write down what is actually running.
Accounts, networks, and the path a release takes today — including the person who still signs in to a server.
the estate, written down
Write down what is actually running.
Accounts, networks, and the path a release takes today — including the person who still signs in to a server.
the estate, written down
The tools
Names on the path.
No grouped headings. These are the names a pipeline like this is built from.
AWS, Azure, GCP, Linux, Terraform, GitHub Actions, Docker, Kubernetes, Prometheus, Grafana
What we measure01 02 03
Clocks and a bill. Not a client story.
An engagement is held to three kinds of number: time to release, time to notice, and cloud spend that has an owner. Nothing below is a result we are claiming for a named customer.
Time to notice
Minutes from a symptom to an alert that names the service.
- checkout-apilatency
- checkout-apierror rate
- checkout-apialert
Example names. Drag a tile — the label is the service, not the machine.
Spend with an owner
Whether every dollar has an environment and a person.
The slice we will not leave unnamed. Illustrative split, not a client bill.
- Deploy path
- Cost named
- Pipeline handed over
Why this team
Same people on the app and the floor.
- 01
Infrastructure and the product are one team, so the deploy path matches the app.
- 02
Cost and risk are named before a migration starts.
- 03
The hand-over includes the pipeline, not only a diagram.
FAQ
Straight answers, before anything moves.
Consulting is the architecture and the release path. Support is hands-on monitoring and problem-solving after it is live.
It depends on the complexity of the environment and how much of the pipeline we automate. The assessment is what makes that number real.
AWS, Azure, and GCP, on Linux or the platform you already run. The tools are chosen for the people who will operate them.
Bring the environment the product has to run in.
You will leave knowing what we would map first, what we would not migrate yet, and what the release path has to be able to do without you.
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