Cloud-native apps built to scale from day one

It depends on workload shape. Serverless fits spiky, event-driven, or low-ops APIs you pay per request and scale automatically. Containers fit steady traffic, long-running processes, or teams that need full runtime control. We often recommend serverless for MVPs and hybrid patterns as products grow. Architecture decisions are documented in ADRs before build starts.

We design for portability where it matters: standard runtimes (Node, Python, Go), open APIs, infrastructure as code, and abstractions over provider-specific services when trade-offs allow. When a managed service is the right call (e.g. DynamoDB, Pub/Sub), we document exit paths and cost implications so you choose lock-in consciously, not by accident.

Cold starts affect latency-sensitive paths we mitigate with provisioned concurrency, smaller bundles, runtimes tuned for your stack, and keeping hot paths on always-warm services or containers when needed. For most SaaS APIs and async jobs, cold starts are negligible; we load-test critical endpoints before launch so you know real-world numbers.

Both. Our web development team ships Next.js and React frontends that connect to the cloud backends we build same studio, one handoff. If you already have a frontend team, we deliver documented APIs, auth flows, and deployment guides so integration is straightforward.

Provider costs are paid directly by you and scale with usage. A lean serverless MVP often starts around $50–200/mo; production SaaS with databases, queues, and multi-region can run higher. We model estimated monthly spend in the architecture phase and set budgets, alerts, and right-sizing so costs stay predictable as you grow.