Serverless computing eliminates infrastructure management, allowing developers to focus on writing function code while cloud providers handle the infrastructure management tasks.
It follows an event-driven execution model triggering functions based on events like HTTP requests and storage changes, with AWS Lambda being a prominent player in enabling serverless computing.
Serverless computing types include Function as a Service (FaaS), Backend as a Service (BaaS), serverless containers, and serverless databases, each serving specific application development needs.
Benefits of serverless computing include cost-efficiency, reduced operational overhead, faster time to market, and built-in high availability and fault tolerance.
Challenges of serverless computing involve cold starts, vendor lock-in, execution time constraints, and complex debugging and monitoring due to the stateless nature of serverless applications.
Common serverless computing use cases include real-time data processing, IoT data processing, business process automation, API backends, and chatbot development.
Serverless architecture allows developers to focus on writing code while the cloud provider handles infrastructure tasks, speeding up development and enhancing cost-efficiency.
Security considerations in serverless computing involve a shared responsibility model, with cloud providers securing infrastructure and developers protecting code and access controls.
Serverless computing is compared to other cloud service models like IaaS, PaaS, and BaaS, with each offering varying levels of control and responsibility to developers.
Popular serverless computing platforms include AWS Lambda, Azure Functions, and Google Cloud Functions, each offering tools and integration tailored for different applications.