Serverless computing

Definition

Serverless computing is a cloud computing execution model where the cloud provider dynamically manages the allocation of machine resources. In this setup, developers can write and deploy code without needing to provision or manage servers, allowing for greater flexibility and scalability. This model aligns with trends toward abstraction in technology, as it allows developers to focus on writing code while the infrastructure management is handled in the background.

5 Must Know Facts For Your Next Test

1. Serverless computing allows for automatic scaling; resources are allocated only when needed, which can lead to cost savings for users.
2. Despite the name 'serverless', servers are still involved in executing code; the term refers to the fact that developers do not have to manage them directly.
3. Serverless architectures often use pay-as-you-go pricing models, meaning users only pay for the compute time they actually use.
4. This model encourages rapid development and deployment cycles, as it simplifies the process of running applications and services.
5. Common serverless platforms include AWS Lambda, Azure Functions, and Google Cloud Functions, which support various programming languages and event-driven architectures.

Review Questions

• How does serverless computing change the way developers approach application deployment compared to traditional methods?
  • Serverless computing shifts the focus from managing servers and infrastructure to writing code and deploying applications quickly. Developers no longer need to worry about provisioning servers or scaling resources manually. Instead, they can concentrate on building features and responding to user needs since the cloud provider automatically handles resource allocation. This leads to faster development cycles and more efficient use of time and resources.
• What are some advantages of using serverless computing over traditional cloud hosting models?
  • One major advantage of serverless computing is its cost efficiency; users pay only for actual compute time rather than pre-allocated resources. Additionally, serverless architectures support automatic scaling, allowing applications to handle varying loads without manual intervention. This setup reduces operational overhead since developers do not have to manage server maintenance or infrastructure updates. Overall, serverless computing can significantly enhance productivity and streamline application management.
• Evaluate the impact of serverless computing on software architecture practices and discuss its potential challenges.
  • Serverless computing promotes the adoption of microservices architecture, as it encourages breaking down applications into smaller functions that can be developed and deployed independently. This modular approach enhances flexibility and scalability but may introduce complexities in orchestration and monitoring. Challenges include managing cold starts—delays when functions are invoked after being idle—and potential vendor lock-in due to reliance on specific cloud providers' infrastructure. Balancing these benefits and challenges is crucial for organizations considering serverless solutions.

Related terms

Function as a Service (FaaS): A cloud computing service model that allows users to run code in response to events without managing servers, where each function is executed in a stateless environment.

Microservices: An architectural style that structures an application as a collection of loosely coupled services, making it easier to develop, deploy, and scale applications independently.

Cloud Provider: A company that offers cloud computing services, including infrastructure, platform, and software solutions, typically hosting resources in their own data centers.