AWS Lambda is a popular service offered by the cloud service provider AWS.
Essentially, it enables users to run code and perform operations without having to manage or provision servers. It also does not require any administration in order to run code for any type of application or service.
Not to mention; it automatically scales up or down based on the code's requirements. Most importantly, users do not pay for the service unless their code runs!
Lambda is now used by a variety of companies around the world, including Coca-Cola, Seattle Times , Vogue, and Netflix, to name a few.
AWS Lambda is typically used in situations where we need to execute code in response to a specific action that occurs. It could be a change in data, a change in system states, or a specific user action.
Lets look at an example:
Data can be transformed using AWS Lambda as soon as it is uploaded.
The Seattle Times uses AWS Lambda to resize images so that they can be viewed on various devices such as desktops, tablets, and mobile phones.
AWS Lambda and Amazon Kinesis (a service that provides real-time streaming data) can be used to process this data to assist with tracking applications, processing orders, click stream analysis, data cleansing, log filtering, and other tasks.
AWS Lambda can also be used to validate, filter, sort, and perform other data changes every time data in a DynamoDB table changes, and then load that data to another data storage.
It can also handle requests for IoT, web, mobile, and third-party APIs.
Here is a quick guide on how to implement a lambda function which would scan all of your S3 Buckets and enforce Public Block Access ACLs automatically: Implement A Lambda Function
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