Maurício Nunes

Serverless

serverless

Serverless technology is changing the way we think about building and deploying applications. With serverless, you can run your code without having to provision or manage any servers, which can save you time and money.

One of the most popular serverless platforms is AWS Lambda. With Lambda, you can run your code in response to events such as changes to data in an S3 bucket, or updates to a DynamoDB table. This means that you only pay for the compute time that you actually use, and you don't have to worry about scaling or maintaining the underlying infrastructure.

Another popular serverless platform is Azure Functions. Like Lambda, Azure Functions allows you to run your code in response to events, but it also provides additional features such as built-in support for authentication and authorization.

Google Cloud Functions is another alternative, similar to AWS Lambda and Azure Functions. It allows you to create and deploy function in response to events triggered by Google services such as Cloud Storage, Firebase and Cloud Pub/Sub.

One example of a serverless application is a simple image resizing service. In this example, you can use S3 to store the original images and a Lambda function to automatically resize them when they are uploaded. This can be done by triggering the Lambda function when a new object is created in the S3 bucket.

Another example of a serverless application is a chatbot. In this example, you can use AWS Lex or Google Dialogflow to create a natural language understanding model, and then use a Lambda function or Azure Function to handle the actual conversation.

Conclusion #

In conclusion, serverless technology is a powerful tool that can help you build and deploy applications quickly and cost-effectively. With services like AWS Lambda, Azure Functions and Google Cloud Functions, you can easily run your code in response to events and only pay for the compute time that you actually use.