This document discusses serverless computing and compares it to traditional server-based computing. Some key points:
- Serverless allows for inherent scalability, cost savings since customers only pay for resources used, and lower latency since code can execute near users. However, testing/debugging is more difficult and vendor lock-in is a risk.
- Serverless is compared to IaaS/PaaS/SaaS models, with serverless being akin to "buying a plane ticket and flying" rather than owning/renting infrastructure.
- Popular serverless options like Python and JavaScript Azure Functions are discussed, along with benefits like auto-completion, independent IDE usage, and ease of cloud integration and deployment.