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Serverless computing is a cloud computing execution model where the cloud provider dynamically allocates and then charges the user for the compute resources needed to run a specific piece of code. Essentially, it allows users to write and deploy code without the hassle of managing the underlying infrastructure. Here are key points that define serverless computing:
1. Event-Driven: Often, serverless functions are executed in response to events or triggers. These can be anything from a file being uploaded to a cloud storage service, a new log entry, a request to a web API, or a scheduled task.
2. Stateless: Each function call is treated as an independent event, with no knowledge of previous invocations. If an application needs to maintain state, it has to use external services, such as databases or cache.
3. Scalability: The cloud provider automatically handles the scaling of the functions. If there’s an increase in demand, the provider can run more instances of the function. Conversely, if the demand drops, unnecessary instances are terminated. This allows for highly efficient resource utilization and can be cost-effective, as users only pay for the compute time they consume, typically measured in milliseconds of execution time.
4. Managed Infrastructure: Users do not need to provision or manage servers. The cloud provider takes care of server maintenance, capacity planning, patching, and other infrastructure management tasks.
Common Use Cases:
– Web Applications: Building serverless web applications where server-side logic is run