Scale out (horizontal)
More instances behind a load balancer, with auto-scaling on real signals. The right answer for stateless web tiers and spiky traffic — but it forces you to solve sessions, caching and background jobs properly first.
DEVOPS SERVICES
Boring deploys, deliberate scaling and monitoring that tells you first.
Deploys should be the boring part
If shipping on a Friday makes your team nervous, the problem is rarely the code. We build the pipeline, infrastructure and monitoring that turn releases into a non-event, and make scaling a decision rather than a panic.
- Infrastructure as codeReproducible environments in Terraform, not console clicks
- Deploy on demandEvery merge can go to production safely, with a way back
- You own itYour cloud accounts, your repos, documented for your team
Scaling: horizontal or vertical?
The answer decides your architecture and your bill, so it is worth being deliberate rather than defaulting to whichever is easier this quarter.
Scale up (vertical)
A bigger machine. Unfashionable, but often the cheapest and fastest fix for a database or a single-tenant workload — and it buys you months to do the harder work properly.
Our bias. Scale up first, scale out when the workload genuinely demands it. Most teams reach for Kubernetes years before their traffic justifies the operational cost of running it — and we would rather tell you that than sell you a cluster.
Tools we run in production
Chosen for how little attention they need once they are set up correctly.
Cloud platforms
Default: AWS for products that need managed services and headroom. A tuned VPS remains the honest choice for many early-stage products, and we will say so.
AWS
Google Cloud
DigitalOcean
Heroku
Linux / VPS
Containers & orchestration
Default: Docker everywhere for parity between laptop and production. Kubernetes only when you have several services and the team to operate it.
Docker
Kubernetes
Nginx
Infrastructure as code
Default: Terraform for anything that must be rebuilt under pressure. If the only record of your infrastructure is a console, you do not have a recovery plan.
Terraform
Ansible
Cloudflare
CI/CD
Default: GitHub Actions — tests, linting, security scanning and deploy in one pipeline, with the same steps running locally.
GitHub Actions
GitLab CI
Jenkins
Monitoring & observability
Metrics, logs and traces together. Default: Prometheus and Grafana when you want to own the stack, Datadog when you would rather own the product instead.
Prometheus
Grafana
Datadog
New Relic
Sentry
Reliability practices
A backup you have never restored is a hope, not a backup. We test recovery, not just the job that writes the file.
- AOAlerting & on-call
- BRBackups & restore drills
- BGBlue-green deploys
- APAutoscaling policies
- CMCost monitoring
Where we typically start
Cloud migration
Moving off a legacy host or between providers, in stages, with a tested rollback at every step rather than one big weekend.
Pipeline build-out
From manual deploys to automated test, build and release — usually the single biggest change to a team's shipping speed.
Performance & cost review
Find the slow queries, the oversized instances and the forgotten resources. Cloud bills usually have 20–40% of obvious waste.
Observability setup
Dashboards and alerts that page a human for real problems and stay silent otherwise, so alerts keep meaning something.
What good infrastructure looks like
The test is simple: could a new engineer rebuild your production environment from the repository alone?
- Environments defined in code and reproducible
- Every deploy reversible within minutes
- Secrets in a managed store, never in the repository
- Backups automated and restores actually tested
- Alerts tuned so a page means something is really wrong
- Runbooks written for the failures you can predict
Let's talk
Have a product in mind?
Tell us about your web, mobile, or agentic AI project — we'll get back with a tailored proposal, usually within a business day.