← All capabilities
Cloud Engineering · Sub-service
Cloud Architecture & Migration
Target architectures and migrations to AWS, GCP, or Azure for product and AI stacks.
Summary
Target architectures and migrations to AWS, GCP, or Azure for product and AI stacks.
Problem
What teams are stuck with
Lift-and-shift recreates on-prem pain with higher invoices.
AI services sprawl across personal accounts with no governance.
Offerings
What we deliver
-
01
Landing zone design
-
02
Workload migration waves
-
03
Network and identity foundations
-
04
Cost architecture
-
05
Multi-cloud decision support
Approach
How we work it
Assess dependencies, data gravity, and compliance before moving.
Land accounts, networks, and identity foundations first.
Migrate in waves with rollback plans.
Outcomes
What good looks like
- Stable cloud footing for products and AI
- Clear ownership of accounts and spend
- Reduced migration risk
Related
Keep exploring
Build this with Endeavour
Share the workflow, corpus, or product surface — we’ll respond with a concrete next step.