Serverless computing is a cloud-based model where the management of servers and infrastructure is handled by the cloud provider, allowing developers to focus solely on application functionality and business logic. This approach, which is being adopted rapidly, offers advantages such as reduced compute costs through a consumption-based pricing model and the elimination of infrastructure management. It builds on the concept of microservices by further abstracting the infrastructure layer, leading to easier scalability and development. Major providers like AWS, Azure, and Google Cloud offer serverless solutions with varying levels of language support and deployment ease. AWS Lambda, Azure Functions, and Google Cloud Functions each have unique features and limitations, with AWS leading in integration options, Azure offering extensive language support, and Google focusing on its Firebase integration. Despite these benefits, serverless computing poses challenges in monitoring and debugging due to its dispersed logging context and vendor-specific implementations. Independent frameworks and vendor-neutral shims can help mitigate provider lock-in and standardize deployments across different platforms.