Start with workload and network boundaries
An application’s traffic, background work and data access determine the infrastructure it needs. Define public endpoints, private services and permissions before choosing resources. Managed services can reduce operational work, while self-managed components may suit specific technical or cost constraints.
Reliability and cost visibility
Scaling should address an observed workload rather than adding complexity by default. Resource budgets, usage alerts and capacity measurements make spending easier to investigate. Availability targets require concrete design and testing decisions; deploying to a cloud provider alone does not establish a service guarantee.
Backups and migration plans
Specify which data must be recoverable and how restoration will be tested. A migration includes application configuration, network access and verification of copied records. Cutover and rollback procedures should identify what happens to writes during the transition so data does not diverge unnoticed.
What the scope can include
- Cloud topology and permission model
- Repeatable infrastructure configuration
- Backup, migration and cost-monitoring plan
The final deliverables, schedule, ownership and maintenance terms are agreed for your project before implementation.
A relevant engineering reference
The CEO’s public portfolio describes a React studio backed by distributed queues and media workers. The project illustrates the connection between an interactive product and background AI processing.
Explore ReeveraPublic CEO portfolio reference. We will discuss which experience and components are relevant to your requirements.
Questions & answers
How should a new SaaS platform choose cloud infrastructure?
Start with the expected workload, data sensitivity, required availability and operating budget. A small product can often use a simple managed architecture and expand when measurements justify it.
Can you migrate a self-hosted backend to the cloud?
Yes, after checking runtime requirements, dependencies and data migration needs. A staged migration with rehearsed restoration and a clear cutover plan reduces avoidable disruption.