Cloud & Infrastructure
The platform underneath: environments, pipelines, observability and a cost model that does not surprise you.
Overview
The platform a system runs on, defined as code and versioned like the application it carries. The work starts when a build has no environment to run in, or when what exists has drifted: releases done by hand, failures nobody sees, and a bill nobody can attribute to a service. Infrastructure that exists only inside a console is not something another team can inherit.
- Environment topology, from local to production
- Infrastructure defined as code
- Build, test and release pipelines
- Container runtime, networking and secret handling
- Logs, metrics, traces and alert routing
- Backups, restore drills and rollback paths
- Cost attribution per service and budget alarms
What you receive
- 01An infrastructure repository that builds every environment from the same definitions.
- 02Cloud accounts in your name, with roles, network rules and secret storage separated by environment.
- 03A pipeline that takes a commit to production, and the same path back to the previous release.
- 04Dashboards and alerts tied to the failures a user would notice, routed to a person rather than a mailbox.
- 05A runbook covering deploys, restores, escalation and the first hour of an incident.
- 06A cost model that names what drives each line of cloud spend, and budget alarms set against it.
- Terraform
- Docker
- Kubernetes
- GitHub Actions
- AWS
- Cloudflare
- OpenTelemetry
- Prometheus
- Grafana
- Blue-green deployment
How the engagement runs
The first work is a read of what runs today: where the workloads sit, who can reach production, and what a deploy currently involves. From that comes an environment plan and a target topology, written before anything is moved. Base infrastructure goes in as code, then the pipeline, then observability — each environment stood up from the same code rather than patched by hand. The cost model is built alongside it, not after the first bill. Migration runs one workload at a time, and the previous path stays until the new one has carried real traffic. On-call, alert routing and the runbook are in place before launch. The platform can then be run by your team or by Oryven.
- A release can go out on an ordinary working day, and be taken back the same way.
- A failure shows up in the logs, metrics and traces rather than in a customer report.
- A rise in cloud spend has a service, an environment and an owner behind it.
- The platform can be rebuilt from the repository by an engineering team that did not write it.
Tell us what you are building.
Send the outline and we will come back with an honest read on scope, sequence and what it takes to run it in production.