Скачать или смотреть How Do Azure Functions Manage Cosmos DB Change Feed At Scale? - Cloud Stack Studio

How Do Azure Functions Manage Cosmos DB Change Feed At Scale? Are you interested in understanding how cloud applications process data changes efficiently at scale? In this informative video, we’ll explain how Azure Functions manage Cosmos DB change feed to support large-scale data processing. We’ll start by describing how change feeds work within Cosmos Database and how Azure Functions listen for these updates automatically using built-in triggers. You’ll learn how data is organized into partitions and how each partition’s change feed allows for parallel processing, enabling systems to handle massive amounts of data seamlessly. We’ll also cover the importance of lease containers, which act as checkpoints to keep track of processed data and ensure no updates are missed, even in case of failures.

Additionally, we’ll explore how the system scales automatically by increasing function instances during high data activity, distributing workloads effectively across multiple instances. Security best practices such as managed identities and network rules will be discussed to help you safeguard your data. We’ll showcase real-world scenarios like transaction tracking, inventory updates, and user activity monitoring, demonstrating the versatility of this approach. Whether you’re building responsive applications or managing large workloads, understanding how Azure Functions and Cosmos DB work together at scale is essential for efficient cloud development. Join us to learn more about this powerful combination for real-time data processing.

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