In the availability design principles, we design high‑availability architectures to ensure that services are not interrupted even if cloud components fail, and we review how to select appropriate technologies and services. We understand cloud service availability and availability targets, choose technologies so that a single point of failure does not lead to service disruption, and examine architectures and technologies that can elastically respond to demand spikes to prevent service interruption due to overload.

Security Design Principles vector data protection customerin business value . vector Serviceof continuous Operations for Security risk , mitigate existing . architecture's Security strengthen existing Design Principlesand technology Selection reviewing, vector successfully protect also .

Design Principlesin vectorin implementation Outage Disaster occur , data Loss minimize Design solution . Impactalso also , requirementsin Goal and Goal in according to architecture Design technology Selection.

Performance Efficiency Design Principlesin vector use demand technology requirements satisfy do. and processingand Performance improve attributes , Compute, data Storage, networking etc. various at the layer Performance vectorin contribute existing technology Selection.

Operations Design Principlesin business value maximize for minimum application continuous vector solution . vectorof characteristics use continuous integration, continuous Deployment, automation Operations vector etc. .

The cost optimization design principles do not merely mean reducing cloud costs; they also examine the FinOps concept and its implementation to increase return on investment. Additionally, when designing cloud architecture, we look at principles that involve selecting technologies that can minimize costs and establishing processes that continuously optimize costs during operation.