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AWS Serverless

AWS serverless architecture is a powerful architecture. I won a global award of best architecture for implementing serverless architecture in a hackthon :)

AWS serverless architecture is a way of building and running applications and services without the need to provision and manage servers. Instead, these applications and services are built using AWS serverless services such as AWS Lambda, Amazon API Gateway, and Amazon DynamoDB, which allow for the creation of highly scalable and cost-effective solutions.

An AWS serverless architecture is typically composed of the following components:

AWS Lambda: This service allows for the creation of serverless functions that can be triggered by events such as an HTTP request or a change in a database. These functions can be written in a variety of programming languages and can be used to perform tasks such as data processing, image processing, and real-time stream processing.

Amazon API Gateway: This service allows for the creation of RESTful APIs that can be used to trigger AWS Lambda functions or to access other AWS services such as DynamoDB. It also provides features such as authentication, caching, and request/response mapping.

Amazon DynamoDB: This service is a fully managed NoSQL database that can be used to store and retrieve data in a serverless architecture. It is highly scalable and can handle millions of requests per second.

Amazon S3: This service provides object storage, it can be used to store files, images, videos and other types of data, it's a cost-effective and highly scalable solution.

Amazon CloudFront: A Content Delivery Network (CDN) service that can be used to distribute and accelerate the delivery of static content such as images, videos, and JavaScript files.

Amazon CloudWatch: This service allows for monitoring and logging of AWS resources and applications. It can be used to set alarms and trigger actions when certain conditions are met.

AWS serverless architecture is a cost-effective and scalable solution for building and deploying applications and services. It allows developers to focus on writing code and business logic, rather than managing infrastructure. Additionally, it enables automatic scaling, which automatically adjusts the capacity of the resources to match the incoming traffic, resulting in cost savings.

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