Financial services
Core systems may require strict recovery objectives, traceable access and controlled processing locations. Start with a dependency map and failure drills.
ENTERPRISE APPLICATIONS
Different workloads.
Different priorities.
Illustrative planning situations. These are examples for discussion, not services or customer deployments supplied by this website.
Manufacturing & edge
Local control workloads can need predictable latency and continued operation through WAN outages. Separate control loops from central analytics.
Research & AI
Batch training, inference and data preparation have different resource patterns. Model active hours, storage growth and data movement separately.
Healthcare technology
Data sensitivity and availability can shape architecture. Establish data classification, least privilege and retention before choosing services.
Retail & digital services
Traffic peaks require capacity planning and tested scaling. Compare burst needs with baseline spend and dependencies on external systems.
Telecommunications
Distributed applications can depend on network reach and site constraints. Validate end-to-end performance instead of inferring it from a region map.