Cloud Infrastructure
Cloud infrastructure is the foundation everything else you build sits on - the servers, databases, networking, and deployment pipeline that decide whether a traffic spike is a non-event or an outage, and whether your monthly bill is predictable or a surprise. Good infrastructure should be boring in the best way: reproducible, monitored, and understood by more than one person on your team.
About Cloud Infrastructure
We design cloud environments for teams launching new products on Vercel, migrating an existing stack to AWS or GCP, or hardening a Docker-based deployment that has outgrown a single server someone set up manually years ago. Infrastructure-as-code and cost awareness are built in from day one rather than added after the first unexpectedly large invoice.
This is not abstract platform work disconnected from the applications we build - most of our infrastructure engagements support Laravel, Node.js, or Next.js systems we or our clients maintain day to day, so decisions are made with real operational context, not generic best-practice checklists.
What's included
Everything we deliver on this engagement
Cloud architecture aligned to your stack
We design the environment around AWS, GCP, Azure, or Vercel based on your application's actual needs - not a default assumption that every project needs the same platform. The architecture accounts for your traffic patterns, compliance requirements, and the team that will operate it day to day.
Infrastructure-as-code
Environments are defined in Terraform or Pulumi and version-controlled, so changes go through review instead of being made by hand in a cloud console where nobody remembers why a setting exists. This also means disaster recovery is a matter of re-running code, not reconstructing tribal knowledge under pressure.
Docker containerization and orchestration
Applications are packaged into containers so they run the same way in development, staging, and production. We right-size orchestration to your actual scale - Docker Compose or a managed PaaS for most teams, more elaborate orchestration only when traffic genuinely justifies it.
Database provisioning and management
MySQL and PostgreSQL databases are provisioned as managed services or self-hosted depending on your compliance and cost constraints, with backup schedules and connection pooling configured correctly from the start rather than discovered missing during an incident.
Multi-environment setup with proper secrets management
Dev, staging, and production environments are isolated with their own credentials, and secrets are stored in a proper secrets manager rather than committed to a repository or pasted into a shared document. This is one of the fastest wins for teams that have been operating without clear environment boundaries.
Cost monitoring and right-sizing
We set up cost dashboards and alerts, then review instance sizing, idle resources, and data transfer patterns on a regular cadence. The goal is a monthly bill you can explain and predict, not a surprise you discover when finance asks about it.
Our process
How we deliver cloud infrastructure
- 01
Assess current state (week 1)
We review existing hosting, pain points, security gaps, and monthly spend before proposing any changes - so recommendations are grounded in your actual setup.
- 02
Design the target (weeks 1–2)
Architecture diagrams, environment layout, and a migration plan with explicit rollback options for anything that touches production.
- 03
Implement & migrate (weeks 2–8, scope-dependent)
Infrastructure-as-code rollout, data migration windows planned around your traffic patterns, and validation tests to confirm minimal downtime.
- 04
Hand over operations
Runbooks, access controls, and documentation - with optional ongoing SRE support through our DevOps practice for teams that want a continued partner.
Tech stack
Tools we use for cloud infrastructure
AWS
The default choice for teams needing broad service coverage, compliance certifications, or infrastructure that scales well beyond a single region.
GCP
A strong fit for teams already using Google Workspace or BigQuery, or that prefer GCP's networking and Kubernetes tooling.
Vercel
The fastest path to production for Next.js applications that do not need custom infrastructure beyond a modern edge deployment.
Docker
Consistent, reproducible application packaging that removes environment drift between development, staging, and production.
Terraform
Version-controlled infrastructure so environment changes are reviewable, repeatable, and recoverable instead of manual console clicks.
MySQL / PostgreSQL
Managed or self-hosted relational databases provisioned with the backup and scaling posture your workload actually needs.
Linux
The operating layer underneath most of our Docker and VM-based deployments, hardened and patched as part of standard operations.
Who this is for
Use cases that commonly need cloud infrastructure
Startups launching on Vercel and outgrowing the default setup
Your Next.js app started on Vercel's defaults, but now you need custom domains, environment-specific configs, database connections, or a CDN strategy that matches growing traffic. We design the setup properly without necessarily forcing a move off Vercel.
Teams migrating from a single manually-managed server to the cloud
One server, set up years ago by someone no longer at the company, quietly runs production. We migrate to a documented, infrastructure-as-code setup with proper backups and monitoring, planned around a maintenance window that minimizes disruption.
Companies with an unpredictable or growing cloud bill
Nobody quite knows why the AWS invoice keeps climbing. We audit resource sizing, idle services, and data transfer patterns, then implement monitoring so cost trends are visible before they become a finance escalation.
Products needing multi-region or high-availability deployment
Latency or uptime requirements mean a single-region deployment is no longer sufficient. We design multi-region architecture with failover and data replication strategies appropriate to your consistency requirements.
Common mistakes
What teams get wrong about cloud infrastructure
"We need Kubernetes to be a 'real' production setup"
Kubernetes solves problems most teams do not have yet, and its operational overhead is real. We right-size orchestration to your actual scale - many production workloads run happily on Docker Compose or a managed PaaS without ever needing a cluster.
"Cloud costs are just the price of scaling"
A meaningful share of cloud spend is idle resources, oversized instances, and unoptimized data transfer rather than genuine usage growth. Regular right-sizing reviews frequently uncover savings without any change to application performance.
"Infrastructure-as-code is only worth it for large teams"
Even a two-person team benefits from version-controlled infrastructure, because it turns 'how did we configure this again' into a git history instead of a guessing game during an incident.
"Migrating to the cloud always means downtime"
With a proper migration plan - parallel environments, data sync windows, and validation before cutover - most migrations happen with minimal or zero user-facing downtime. Rushed, unplanned migrations are what cause outages.
Pricing & timeline
What to expect on budget and schedule
Initial environment setup and migration projects typically run $5k–$15k, covering architecture design, infrastructure-as-code implementation, and the migration itself. Ongoing managed infrastructure support is quoted separately as a monthly retainer based on the complexity and criticality of your systems.
Simple Vercel setups or single-region moves can finish in 2–4 weeks. Multi-service AWS or GCP migrations with zero-downtime requirements often need 6–10 weeks, planned around careful data migration windows and rollback options.
Cost optimization reviews are usually scoped as a shorter, standalone engagement - we audit your current spend and resource usage first, then quote the implementation work needed to capture the savings we identify.
FAQ
Common questions about cloud infrastructure
How much does cloud infrastructure setup cost?
- Initial environment setup and migration projects typically run $5k–$15k. Ongoing managed infrastructure support is quoted separately based on complexity.
How long does a cloud migration take?
- Simple Vercel or single-region moves can finish in 2–4 weeks. Multi-service AWS migrations with zero-downtime requirements often need 6–10 weeks.
Can you reduce our existing cloud bill?
- Often, yes. We audit idle resources, instance sizing, and data transfer patterns to find where spend does not match actual usage, then quote the optimization work separately from the audit itself.
Do you support Namecheap or shared hosting deployments?
- Yes. We deploy static Next.js exports and PHP APIs to shared hosting with proper .htaccess, SSL, and asset routing - common for marketing sites that do not need full cloud infrastructure.
Do we need to move everything to AWS to work with you?
- No. We design infrastructure around your actual requirements - that might mean AWS, GCP, Vercel, or a hybrid setup. The right platform depends on your workload, team, and compliance needs, not a default preference.
How do you handle database migrations without downtime?
- We plan migrations with a parallel-run period, data sync validation, and a defined cutover window with rollback options tested in advance. Downtime windows, when needed at all, are communicated and scheduled around your lowest-traffic period.
Related
Related services and work
Related services
Portfolio & reading
Ready to scope cloud infrastructure?
Tell us about your product, timeline, and constraints. We reply within one business day with next steps - no generic pitch deck.