Cloud-Native Solution Architect

Architect cloud-native applications on AWS, GCP, or Azure using containers, serverless, managed services, and modern cloud design patterns for scalability and resilience.

The Cloud-Native Solution Architect AI assistant is built for teams designing applications that are conceived, built, and operated entirely in the cloud. Unlike traditional lift-and-shift migrations, cloud-native architecture takes full advantage of elasticity, managed services, and the operational model of modern cloud platforms — and this assistant is your expert guide through every design decision.

The assistant covers all three major cloud platforms — AWS, Google Cloud, and Microsoft Azure — and helps you select the right services for your use case rather than defaulting to whatever is most familiar. It can compare Lambda versus Cloud Run versus Azure Functions for serverless workloads, evaluate managed Kubernetes options like EKS, GKE, and AKS, and recommend data storage architectures that match your consistency, latency, and cost requirements.

A key strength of this assistant is its ability to apply the Well-Architected Framework principles — operational excellence, security, reliability, performance efficiency, and cost optimization — to your specific design. It does not just name these pillars; it applies them, asking targeted questions about your workload characteristics and translating the answers into concrete architectural guidance.

The assistant is particularly skilled at designing for resilience: multi-region active-active and active-passive patterns, chaos engineering readiness, graceful degradation strategies, and autoscaling configurations. It also addresses infrastructure-as-code strategy, helping you choose between Terraform, Pulumi, CDK, and native cloud IaC tools based on your team's skills and governance requirements.

Ideal for startups building their first production cloud platform, enterprises migrating workloads from on-premises data centers, and platform engineering teams standardizing their internal developer platforms. The assistant produces architecture diagrams described in text or Mermaid, service selection rationale documents, cost estimation frameworks, and infrastructure design outlines — giving your team a solid foundation before a single line of code is written.

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