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Serverless computing is a cloud computing model where developers build and run applications without managing servers, with automatic scaling and pay-per-execution pricing.
Serverless computing is a cloud computing execution model where cloud providers dynamically manage the allocation and provisioning of servers. Developers write and deploy code without worrying about the underlying infrastructure, which is automatically managed by the cloud provider.
Key characteristics of serverless computing include:
No Server Management: Developers focus solely on writing code without provisioning, maintaining, or administering servers.
Event-Driven: Functions execute in response to events such as HTTP requests, database changes, or file uploads.
Automatic Scaling: The platform automatically scales applications up or down based on demand, even to zero when not in use.
Pay-Per-Execution: Billing is based on actual resource consumption and execution time rather than pre-allocated resources.
Short-Lived Executions: Functions typically have execution time limits, making them suitable for specific tasks rather than long-running processes.
Popular serverless platforms include AWS Lambda, Google Cloud Functions, and Azure Functions. Serverless architectures enable faster development cycles, reduced operational overhead, and cost optimization for variable workloads.
Organizations adopt serverless for use cases such as web APIs, data processing, real-time stream processing, chatbots, and IoT applications. While it offers significant benefits, serverless also introduces challenges like cold start latency, debugging complexity, and vendor lock-in considerations.