ROVQIX provides DevOps engineering for web applications: CI/CD pipelines, infrastructure as code with Terraform, containerised deployments, monitoring and alerting, and cloud cost optimisation — on AWS, Google Cloud or Vercel.
Deployment should be the least interesting part of your week. When it is not, it is usually because environments are hand-configured and nobody trusts the rollback path.
Reproducible environments
Pipeline target
Rollback path
Typical cost reduction
Type checks, lint, tests, budgets and preview deployments on every pull request, finishing fast enough that people wait for it.
Terraform definitions so environments are reproducible, reviewable and never configured by hand in a console.
Docker images built small and reproducibly, deployed to your platform of choice with sensible health checks.
Logs, metrics, traces and uptime checks with alerts that are actionable — anything else becomes noise people ignore.
Secrets in a manager, injected at runtime, rotated on a schedule, never committed and never baked into images.
Right-sizing, storage lifecycle, egress review and reserved capacity where usage is predictable.
| Cost centre | Common waste | Typical saving |
|---|---|---|
| Compute | Oversized instances, idle staging | 20–40% |
| Storage | No lifecycle rules, old snapshots | 30–60% |
| Data transfer | Cross-region chatter, no CDN | Varies, often large |
| Databases | Provisioned for a peak that never comes | 20–50% |
| Logging | Everything retained at full verbosity | 40–70% |
| Unused resources | Load balancers and IPs nobody owns | Immediate |
Most savings come from three or four decisions, not from a hundred micro-optimisations. We start with the bill, find the concentration, and fix that.
Vercel is the fastest path for Next.js and usually the right default — the operational burden it removes is worth real money at small and medium scale. Self-hosting becomes worthwhile when bandwidth or compute costs cross a threshold, when compliance requires specific regions or controls, or when you already run a platform team.
We will model both against your actual traffic rather than asserting one is better. The crossover point varies enormously by workload.
AWS for breadth and enterprise requirements, Google Cloud for data and ML workloads, Vercel for Next.js applications where operational simplicity matters most. We work with what you already have unless there is a strong reason to move.
Almost certainly not, unless you have multiple teams deploying many services and someone to operate the cluster. Managed container services handle most web applications with a fraction of the complexity.
Yes — that is most of our infrastructure work. We start with an audit so you get an honest assessment before either side commits to changes.
Within agreed hours on a retainer. For 24/7 coverage we build the monitoring and runbooks so your team can hold the pager confidently, rather than pretending to be your operations department.
Indicative ranges in USD. Every engagement is quoted to a written scope before work starts, so the number you approve is the number you pay.
$2,000 – $5,000
1–2 weeks
Best for: Cost, reliability or security concerns
$5,000 – $20,000
3–8 weeks
Best for: Getting deployment and infrastructure right
from $2,000 / month
Ongoing
Best for: Teams without a platform engineer
How we think about this work, in more depth.
DevOps & cloud
A 30-minute call, then a written proposal with scope, price and timeline within two to three working days. No retainer required to get a real number, and no obligation if the answer is that we are not the right fit.