Cloud Architecture (AWS, Azure, GCP)

What good cloud architecture actually decides

Cloud architecture is a set of decisions you live with for years: how environments are separated, where data lives, what scales automatically, what happens when a deploy goes wrong, and who can touch production. Tepia makes those decisions explicit and writes them down, instead of letting them accumulate one console click at a time.

Tepia designs architecture for the products it builds and for teams whose systems grew faster than their infrastructure. In both cases the goal is the same: a system your own engineers can understand, operate and extend without calling anyone.

The architecture decisions, platform by platform

Tepia works across the three major clouds and picks managed services that keep operations light.

Tepia recommends the platform your team can operate, not the one with the longest feature list, and documents every choice with its reason.

Reliability, security and the boring essentials

Most cloud incidents are not exotic. They are missing backups, over broad permissions and deploys with no rollback. Tepia designs the essentials in from the start: automated backups with tested restores, least privilege access with audit logs, encryption in transit and at rest, separate staging and production environments, and health checks tied to alerts a human actually receives.

For regulated clients Tepia applies HIPAA aware architecture patterns and SOC 2 aligned practices, including PHI handling rules and vendor BAAs where healthcare data is involved. The same discipline serves everyone else as good hygiene.

How Tepia approaches cloud architecture

Architecture work starts in Discovery: a system investigation of your current infrastructure, interviews with the people who operate it, and a third party integration review. You get an Investigation Summary and a target architecture with a migration path, not a diagram that assumes a rewrite. Design and Development turn that plan into provisioned environments, infrastructure configuration and monitoring.

Testing includes failover and restore drills, not just feature tests. Training walks your team through the runbooks, and Support stays available after handover. Tepia’s engineering leadership is US based, and every architecture ships with documentation your next hire can read.

When to invest in architecture work

Three signals say it is time: deploys feel risky, one person holds all production knowledge, or usage growth is outrunning the original setup. A focused architecture engagement typically runs 4 to 10 weeks depending on system size, and pairs naturally with backend and cloud development or a legacy system modernization effort.

Tepia stages the work so improvements land continuously, and nothing depends on a risky cutover weekend.

Frequently asked questions