📌 Serverless Computing Summary

Serverless computing is a cloud computing model where developers write and deploy code without managing the underlying servers. The cloud provider automatically handles server setup, scaling, and maintenance. You only pay for the computing resources you use, and the infrastructure scales up or down based on demand.

🙋🏻‍♂️ Explain Serverless Computing Simply

Imagine you want to run a lemonade stand, but instead of buying all your own equipment and supplies, you just show up and make lemonade when customers order. Someone else provides the stand, ingredients, and cleans up when you are done. Serverless computing works the same way for softwarenullyou only focus on your code, and the cloud provider takes care of the rest.

📅 How Can it be used?

You could use serverless computing to build a chatbot that automatically scales to handle thousands of users during peak times.

🗺️ Real World Examples

An online retailer uses serverless computing to process payments during holiday sales. When many customers make purchases at once, the serverless platform automatically scales to handle the increased load, ensuring quick and reliable payment processing without manual intervention.

A news website uses serverless functions to automatically resize and optimise images as journalists upload new content. This saves time and ensures all images display correctly on different devices without dedicated servers.

✅ FAQ

Serverless computing is a way of running applications where you do not need to worry about managing servers or infrastructure. You simply write your code and upload it to the cloud provider, which takes care of everything else, including scaling and maintenance. You are only charged for the resources your code uses, making it efficient and cost-effective.

One of the main benefits of serverless computing is that it saves time and effort, as you do not need to manage servers or worry about scaling. It is also flexible, as your application can automatically handle changes in demand. This can help reduce costs, since you only pay for the computing power you actually use.

Serverless computing works well for many types of applications, especially those with unpredictable or changing workloads, like web apps or APIs. However, it might not be the best fit for applications that need constant, long-running processes or have very specific infrastructure needs.

📚 Categories

• AI Infrastructure
• Cloud Computing
• MLOps & Deployment

🔗 External Reference Links

Serverless Computing link

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