Runtime
What needs to run, how often, and with what scaling or isolation requirements?
CLOUD ENGINEERING / 01
Cloud architecture that matches the workload.
Cloud is an operating choice, not a label. We select patterns around traffic, reliability, data, integration, security and the team that will run the system.
ARCHITECTURE PRINCIPLE
Workload first.
Platform second.
The useful question is not whether a system is “cloud native.” It is which runtime, data, integration and operating patterns suit the workload.
FOUR QUESTIONS
What does the system actually need?
These decisions narrow the architecture before a provider service or deployment pattern is selected.
Data
What consistency, access, retention and analytical patterns matter?
Integration
Which calls are synchronous, asynchronous, external or failure-sensitive?
Operations
Who runs it, what must be observable, and how will change reach production?
PATTERN BY NEED
Use the pattern only when the system needs it.
Containers, serverless, events and managed services solve different operating problems. We avoid architecture by fashion.
01
Managed cloud services
Reduce undifferentiated operational work where platform services fit the workload.
02
Containers
Use consistent packaging and deployment where service independence and portability matter.
03
Event-driven systems
Decouple workflows where asynchronous processing improves responsiveness or resilience.
04
Observability
Instrument the system so teams can see behaviour, failures and operating cost in production.
05
Security controls
Design identity, network, data and deployment controls into the platform rather than around it.
START WITH THE WORKLOAD
Choose the platform after the operating requirements are clear.
We can map runtime, data, integration, security and production constraints before selecting the architecture.
Discuss a cloud requirement →Runtime · Data · Integration · Security · Observability