Azure functions: Quickstart
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Serverless computing is a cloud computing model where the cloud provider manages resources dynamically based on application demand. Customers pay based on actual resource usage rather than pre-purchased capacity units. While servers are still required, serverless computing aims to abstract away server management. The document then provides examples of serverless platforms like Azure Functions, AWS Lambda, and Google Cloud Functions. It also outlines a sample project using serverless technologies like Azure Functions and Logic Apps to build a custom RSS feed service that can schedule jobs, parse feeds, notify subscribers of updates, and allow adding new subscribers.
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Azure functions: Quickstart
- 1. MSPKwangheeChoi 2018-05-12 Local Optima @ Sogang University Azure Functions: Quickstart
- 2. Serverless Architecture Serverless computing is a cloud-computing execution model in which the cloud provider dynamically manages the allocation of machine resources. Pricing is based on the actual amount of resources consumed by an application, rather than on pre-purchased units of capacity. Serverless computing still requires servers, hence it's a misnomer. - Wikipedia, Serverless Computing
- 3. Serverless Architecture Serverless computing is a cloud-computing execution model in which the cloud provider dynamically manages the allocation of machine resources. Pricing is based on the actual amount of resources consumed by an application, rather than on pre-purchased units of capacity. Serverless computing still requires servers, hence it's a misnomer. - Wikipedia, Serverless Computing ∴ “Leaving complicated stuff to major cloud platforms.”
- 4. Serverless Architecture Azure Functions AWS Lambda Google Cloud Functions IBM/Apache Openwhisk
- 6. Sample Project: CustomRSSFeed Scheduled Job Parse Notify Updates Deliver to Subscribers Ask for Subscription Get Subscribers Azure Functions Azure Logic Apps Azure Table Service Azure Logic Apps Add Subscriber
- 36. MSPKwangheeChoi 2018-05-12 Local Optima @ Sogang University Thank you for listening