Managing Implementations of Cloud Architecture
Implementation questions test sequencing: assessment, migration mechanics, cutover safety, and change control.
Migration path
Assess with Migration Center to inventory and right-size, then plan waves by dependency. Move VMs with Migrate to Virtual Machines, databases with Database Migration Service (which has a conversion workspace for heterogeneous engines; it is not just replication), file and object data with Storage Transfer Service when online, and Transfer Appliance when the dataset is too large or the link too slow for online transfer. Then optimize - most workloads should not land as-is permanently.
Release and cutover patterns
Blue/green swaps traffic between two full environments and gives instant rollback. Canary shifts a small percentage first and expands on healthy signals. Rolling updates replace instances gradually. Whichever you choose, plan DNS TTL reduction before cutover, keep a rollback path, and use feature flags to decouple deploy from release.
Delivery and change management
Pipelines (Cloud Build + Cloud Deploy) with environment approval gates, automated tests, and infrastructure changes through the same review path as code. Communicate to stakeholders with a documented runbook, training plan, and defined go/no-go criteria.
Testing
Unit and integration tests, load tests against realistic volumes, security scans, and DR game days that actually fail over rather than just reading the plan.
Traps
Confusing Storage Transfer Service (online) with Transfer Appliance (offline physical shipment); assuming DMS performs schema conversion automatically without review; treating cutover as instantaneous; forgetting that a rollback needs the old environment kept warm.
Rule of thumb: roll out 5% → 25% → 100% of traffic with automated rollback triggered by SLO breach, and never cut over in a release window you cannot reverse.