Basics of Serverless Computing

Nowadays, serverless computing is another buzzword. It's a new computing model. But it does not mean that the programming logic is running without any server. 

Basically, the users do not have access to the server to manage or configure. They can deploy their code on the server and execute it without worrying about the underlying infrastructure. 

The service providers manage the infrastructure and make the virtual resources ready so that the users can deploy and run their applications at any time.

In the serverless computing model, users are charged only for resource usage instead of reserving duration as resources are not reserved explicitly. 

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The major advantages of the serverless computing model are:

1. Cost-effectiveness: Renting cloud resources is not needed; thus the user has to pay only for the duration in which the program is executed.
2. Elasticity and scalability: The developers do not need to spend time for setting up and tuning auto-scaling policies. Those are managed by service providers.

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The major disadvantages of the serverless computing model are:

1. Performance: The performance of the application or execution time is more compared to running them on dedicated servers. Service providers impose resource access limits, which may affect the performance of an application.
2. Monitoring: Sometimes constant monitoring cannot be performed by digging into the code and run-time environment.

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Examples: AWS Lambda, Azure Functions, GCP Cloud Functions, etc.

Happy Exploring!