The following article describes What is Serverless Computing.
A cloud computing paradigm known as serverless computing, often referred to as serverless architecture, enables developers to create and deploy applications without having to oversee the underlying server infrastructure. In other words, in a serverless architecture, developers only write code for the business logic of the application; the cloud provider is in charge of providing, scaling, maintaining, and managing the servers.
Key features of serverless computing
The following section shows some key features of serverless computing.
Event-Driven Architecture
Serverless apps are frequently built using an event-driven architecture, which means they react to triggers or events like HTTP requests, database updates, file uploads, and more. So, the cloud provider automatically calls the relevant piece of code (commonly referred to as a function) to deal with the event as it happens.
Auto-Scaling
On the basis of the incoming workload, serverless platforms scale resources automatically. So, the cloud service provider will immediately distribute more resources if an application suddenly encounters a spike in traffic to guarantee that operations run without interruption.
Pay-as-You-Go-Pricing
Moreover, serverless platforms typically charge based on the actual usage of resources rather than pre-allocated resources. This pay-as-you-go model can be cost-effective for applications with variable workloads because you only pay for the resources consumed during function execution.
No Server Management
Further, Serverless computing eliminates the need to manage servers, as the name implies. Accordingly, server provisioning, patching, scalability, and other infrastructure-related activities are taken care of for developers. As a result, this enables developers to concentrate completely on creating features and developing code.
Statelessness
Basically, statelessness, or the lack of a persistent state between calls, is a characteristic of serverless services. Any necessary state must be kept in an external location, such as a database or an object storage service.
Short-lived Execution
Also, statelessness, or the lack of a persistent state between calls, is a characteristic of serverless services. So, any necessary state must be kept in an external location, such as a database or an object storage service.
Examples
Basically, AWS Lambda (Amazon Web Services), Azure Functions (Microsoft Azure), Google Cloud Functions (Google Cloud), and others are popular serverless solutions. Therefore, these platforms support a variety of programming languages, have built-in monitoring and debugging tools, and can integrate with other cloud services.
Although serverless computing can make some aspects of application development and scaling simpler, it’s important to take into account the architecture’s drawbacks. For instance, serverless computing may result in cold start latencies (the length of time it takes to start a new function instance), potential vendor lock-in, and difficulties posed by complex application architectures.
Further Reading
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