Reliability target
Set service expectations and design redundancy, degradation, and recovery in proportion to business impact.
Reliable platform engineering
Cloud Architecture.
Cloud architecture should make a system easier to operate under expected load and failure—not merely distribute it across more services.
How we use it
We design cloud platforms around workload, security boundaries, recovery needs, delivery frequency, team capability, and cost. Managed services are selected when they remove undifferentiated operations without obscuring critical behavior.
Architecture decisions
The questions that shape the implementation
Security boundary
Define identities, networks, secrets, data access, and environment isolation explicitly.
Deployment model
Choose managed platforms, containers, functions, or dedicated services according to workload behavior.
Observability
Connect logs, metrics, traces, events, and alerts to operational questions and ownership.
Engineering practice
What disciplined use looks like
Infrastructure as code
Least-privilege identities
Automated deployment controls
Centralized telemetry
Tested backup and recovery
Cost allocation and budget alerts
Failure modes
What we actively design against
Complexity without reliability benefit
Shared credentials
No tested restoration path
Autoscaling that overloads dependencies
Observability added only after incidents
Appropriate use cases
SaaS platforms
Enterprise applications
Public APIs
Background processing
AI workloads
Multi-environment delivery
Technical questions
Does cloud architecture require microservices?
No. A well-structured application on managed infrastructure is often more reliable and economical than a premature distributed system.
How do you control cloud cost?
We connect resources to owners and workloads, establish budgets, measure unit economics, and review architecture choices alongside actual utilization.
Related expertise