Technical overview
How I plan cloud architecture
Cloud work means choosing AWS, Google Cloud or Azure services that match traffic and budget. Object storage, CDN, managed databases and serverless functions cover most product needs without a premature microservice split.
I right-size instances, tag resources and set billing alerts before production surprises. Managed databases usually beat self-hosted setups for SME apps; Lambda or Cloud Functions handle event-driven jobs. Auto-scaling and load balancers appear when load patterns justify them.
Monitoring and alerting close the loop. Terraform enters where repeatable environments matter. Microservice extraction happens only when the monolith actually limits scale. The deliverable is a stable, observable system the team can operate day to day.
Common cloud tasks I help with
- How to migrate a site from shared hosting to a cloud VPS
- How to choose managed database vs self-hosted for an SME app
- How to set billing alerts before traffic spikes
- How to configure object storage and a CDN for media
- How to run event-driven jobs with serverless functions
- How to add load balancing when traffic becomes uneven
- How to tag resources for cost visibility by project
- How to introduce Terraform for repeatable staging and production
- How to plan a cutover with a rollback window
- How to set monitoring and alerts for critical services