Serverless computing

Definition

Serverless computing is a cloud computing execution model where the cloud provider dynamically manages the allocation of machine resources, allowing developers to focus on writing code without having to worry about server management. This model abstracts server infrastructure away from developers, who only pay for the compute time consumed when their code is executed. It enhances scalability and flexibility while reducing operational costs.

5 Must Know Facts For Your Next Test

1. In serverless computing, the cloud provider automatically scales resources based on demand, meaning applications can handle varying loads without manual intervention.
2. Developers using serverless architectures typically pay only for the actual execution time of their code, which can lead to significant cost savings compared to traditional hosting models.
3. Serverless computing supports event-driven programming models, allowing developers to trigger functions in response to specific events, such as database changes or HTTP requests.
4. This model fosters a more agile development process, enabling rapid deployment and iteration of features since developers can focus solely on coding without worrying about infrastructure.
5. Despite the name 'serverless', servers are still involved in running applications; the term refers to the abstraction of server management away from the developer.

Review Questions

• How does serverless computing change the way developers approach application deployment and scaling?
  • Serverless computing significantly alters the deployment and scaling approach by eliminating the need for developers to manage server infrastructure. Instead, they can focus on writing code while the cloud provider takes care of scaling resources automatically based on demand. This allows for faster deployments and more efficient use of resources, leading to improved agility in development processes.
• Discuss the advantages and potential drawbacks of using serverless computing in application development.
  • The advantages of serverless computing include reduced operational costs, automatic scaling, and a focus on writing code instead of managing servers. However, potential drawbacks include vendor lock-in, limited control over the underlying infrastructure, and challenges related to debugging and monitoring. These factors require careful consideration when deciding whether to adopt a serverless architecture.
• Evaluate how serverless computing might impact traditional software development practices and business models.
  • Serverless computing could revolutionize traditional software development practices by enabling faster delivery cycles, encouraging a shift towards event-driven architectures, and promoting a microservices approach. This shift may lead businesses to adopt new models such as pay-per-execution pricing, which could alter revenue structures. Additionally, it may foster innovation by allowing teams to experiment rapidly without the burden of infrastructure management, thereby changing competitive dynamics in various industries.

Related terms

Function as a Service (FaaS): A cloud service model that allows developers to deploy individual functions or pieces of code that execute in response to events, without managing servers.

Microservices: An architectural style that structures an application as a collection of loosely coupled services, which can be developed, deployed, and scaled independently.

API Gateway:

A service that acts as an entry point for API requests, managing and routing them to the appropriate backend services, often used in conjunction with serverless architectures.