Cloud deployment and infrastructure
Everything we build is deployed into your cloud account, under your billing, with infrastructure defined as code so it can be recreated without us.
Where we use it
Deployments should be unremarkable: a merge triggers tests, tests pass, the change goes out, and a bad release can be rolled back in a minute. Anything more dramatic than that eventually causes an outage at a bad moment.
Monitoring covers the AI-specific dimensions too — latency percentiles, token spend by feature, error and refusal rates — not just CPU and memory.
- Infrastructure as code, versioned in your repository
- CI/CD with automated tests and simple rollback
- Secrets managed properly, never in the codebase
- Monitoring, alerting and log retention
- Cost alerts before the bill, not after
- Documented runbooks for the likely failures
It runs in your account
Infrastructure is deployed into cloud accounts you own, with your billing and your access controls. If our engagement ends tomorrow, nothing switches off and nothing needs migrating. Nothing runs on infrastructure we control.
Everything is defined as code and committed to your repository, so the environment can be rebuilt from scratch by someone who has never spoken to us. A deployment that only one person knows how to reproduce is an outage waiting for a holiday.
Cost control on AI workloads
Model APIs bill by usage, which means a bug can be expensive rather than merely broken. Budgets and alerts are configured before launch, per-feature spend is tracked, and hard limits stop a runaway loop from spending a quarter's budget overnight.
Caching is treated as a cost decision as much as a speed one — repeated identical calls are the most common source of a surprising bill, and they are usually trivial to remove once someone is looking.
Frequently asked questions
Which cloud provider?
Whichever you already use. If you have no preference, we default to the simplest thing that meets your requirements rather than the most impressive architecture.
Do we need Kubernetes?
Almost certainly not. Most projects of this size run better on managed containers or serverless, with far less operational burden on your team.
Who has access after hand-over?
You do. Our access is removed at the end of the engagement unless you keep us on a retainer.
Tell us what you are building.
Send a short description of the problem and we will reply within one business day with an honest view of scope, cost and whether we are the right person for it.
Or email directly: contact@hire-ai-dev.com