huaweicloud-skillv1.0.2

Design a scalable web application architecture for an online store handling high traffic, including load balancing, database management, and static content storage. This scenario focuses on ensuring high availability and security for payment processing.

Create a big data architecture for processing and analyzing large datasets, using services like MRS and OBS to support real-time insights and reporting. This scenario emphasizes cost-effective storage and compute resources for data-intensive operations.

Implement a containerized microservices architecture with CCE and Redis to support agile development and deployment of modular applications. This scenario targets teams needing scalable and resilient service orchestration.

Build an AI/ML infrastructure using ModelArts and RDS to train, deploy, and manage machine learning models for predictive analytics. This scenario involves optimizing resources for compute-intensive tasks and data storage.

Offer cloud-based software services with recurring revenue, leveraging scalable Huawei Cloud resources to handle variable user loads and ensure uptime. This model benefits from automated cost estimation and Terraform for rapid provisioning.

Provide expert architecture design and deployment services for clients migrating to or optimizing their Huawei Cloud infrastructure, with revenue from project-based fees. This model utilizes the skill's ability to generate detailed resource plans and cost analyses.

Develop and sell tools that automate cloud resource management using Terraform templates and cost optimization features, targeting IT teams seeking efficiency. Revenue streams include licensing or usage-based pricing.