AWS Lambda and its usefulness in today’s modern and digitalized civilization, we will cover another topic regarding the Lambda function and its functionality in our every day, digital lives.
AWS Lambda, as we already learned, is a compute service that allows you to run code without managing servers. AWS Lambda runs the code when it is needed, and it is automatically scaled. The code you execute on AWS Lambda is called lambda function, and it can be considered, for better understanding, as a formula in a spreadsheet. As you need to make formulas, so it could automatically calculate any data you enter, functions are somewhat similar.
Creating simple functions via the Lambda web console is quite easy. Functions allow your code to run smoothly in performing smaller automated tasks. The function is ready to run as soon as it has been triggered. The Lambda function includes your code along with associated configuration information. Lambda functions have nothing to do with the underlying infrastructure. Therefore, Lambda can execute as many copies of the function as needed so it can be scaled to comply with the rate of the incoming events.
When your code is uploaded to AWS Lambda, your function is commonly associated with some specific AWS resources like an Amazon S3 bucket, an Amazon DynamoDB table, Amazon SNS notifications or Amazon Kinesis streams. After associating your function with AWS resources, when the resource has changed, Lambda will execute your function and manage the compute resources to achieve success with the incoming requests.
After uploading your application code in the form of one or even several AWS Lambda functions to AWS Lambda, AWS Lambda will execute the code for you. AWS Lambda takes care of managing the servers to run the code when invoked. The lifecycle of an AWS Lambda-based application includes several sections.
A Lambda function consists of the code and associated dependencies, and it also has configuration information within it. You are the one who’s specifying the configuration information when creating a Lambda function. API is also provided so you can update some of the configuration data. Lambda function configuration information comes with the critical elements like computing the resources needed, maximum execution time (timeout), IAM role (execution role), and handler name.
AWS Lambda is operated by utilizing one of these two event models.
Lambda functions are small bits of a more significant work done, allowing you to perform it seamlessly and effectively. Starting from scratch is always the best option especially for beginners in the field.
Hopefully, this article managed to find its way to the readers that are eager to learn and obtain some new knowledge about AWS Lambda and lambda functions. Feel free to post any questions in the comment sections below or even start a discussion about this topic.
You can find more information about AWS Lambda and how to deploy real-world apps by visiting this article.
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