Infrastructure & DevOps —switched on when needed
We don't sell CI/CD on day one. We start with a simple Docker setup and, as traffic and the team grow, switch on the pipeline, the test environment and monitoring step by step.
Our approach
The industry standard in infrastructure services is to sell the client the maximum: Kubernetes, a multi-region setup, full CI/CD — before the first user has even arrived. That grows the agency's invoice, and for the client it means server money burning for nothing every month.
Our approach is the reverse: a project with a single engineer releasing once a week doesn't need a CI/CD pipeline — one Docker container, one server and a properly configured backup are enough. That is infrastructure costing a few dollars a month, not dozens.
The difference is that we design for “later” from day one: the Dockerfile, environment separation and release scripts are written so that CI/CD, staging and scaling can be switched on with a week or two of configuration. Half of our clients move from S1 to S2 — and none of them rewrite code in the process.
What's included
Production infrastructure
A Docker-based setup — on AWS, Vercel or a local provider. Domain, SSL and environment separation are standard.
CI/CD pipelines
An automated test → build → release flow. We build it when the team grows and release frequency rises — the moment it pays for itself.
Monitoring and alerting
You find out before the system goes down: metrics, logs, error tracking, and smart alerts that replace the midnight SMS.
Cost optimization
An audit of your existing cloud bill — unused resources, wrongly sized servers, redundant services. We typically find 30–50% in savings.
Security and backups
Access control, secrets management, automated backups and — most importantly — restore drills: we verify the backup works before disaster strikes.
How it changes withscale
The same service at three different depths. We choose together which tier to start from during the scale conversation.
A single Docker container, one server, a managed database, automated backups. Monthly cost kept to a minimum — the money goes into the product.
CI/CD, a staging environment, monitoring, log aggregation, cache and replica. The team works in parallel and releases go out risk-free.
Horizontal scaling, load balancing, blue-green releases, full observability, on-call with an SLA. Traffic spikes are no longer an incident.
Infrastructure code is written agentically too
Terraform configurations, pipelines and monitoring rules are prepared with agents, and an engineer reviews and approves them. That is why moving from S1 to S2 takes 1–2 weeks.
1–2
weeks — full move from S1 to S2
Deliverables
- Infrastructure configuration as code — in your account
- Release documentation — your team can ship on its own
- Monitoring dashboard and alerting rules
- Backup + a tested restore procedure
- Monthly cost report and optimization recommendations
Frequently asked questions
- Which cloud providers do you work with?
- AWS and Vercel are our main choices, but the decision comes from the project's needs — sometimes a local provider or a simple VPS is the right call. We keep vendor lock-in to a minimum so that moving is possible if you ever need to.
- Can you take over our existing infrastructure?
- Yes. First an audit: what exists, what works, what is risky. Then documentation and a phased handover. On critical systems nothing is changed without an audit.
- Whose name are the servers under?
- Yours. All accounts — cloud, domain, monitoring — are set up in your name from day one. We get delegated access, not ownership. You can move to another team on any day.
Next step
Let's build your product*together*
In a forty-minute meeting we talk through your scale: which tier it makes sense to start at, how much time and budget it takes, and what we deliberately defer. No obligation.
