Serverless Database Development Virtual Internship

In this task, students will research and compare the features, pricing, and use cases of popular serverless database services, such as Amazon Aurora, Google Cloud Datastore, and Azure Cosmos DB.

In this task, students will design a serverless database architecture for a hypothetical application, considering factors such as data modeling, scalability, and integration with other cloud services.

In this task, students will provision a serverless database service and configure it to meet the requirements of a sample application.

In this task, students will integrate a serverless database service into a serverless application, implementing data storage and retrieval operations.

In this task, students will optimize the performance and scalability of a serverless database-driven application, exploring techniques such as caching, indexing, and data partitioning.

In this task, students will implement security controls and best practices for a serverless database service, ensuring the confidentiality, integrity, and availability of the application's data.

In this task, students will configure monitoring and logging for a serverless database-driven application, ensuring visibility into the system's health and performance.

In this task, students will design and implement a disaster recovery strategy for a serverless database-driven application, ensuring business continuity and data protection.

In this final task, students will design, implement, and deploy a serverless database-driven application, showcasing their understanding of the concepts and techniques covered throughout the internship.