AWS Lambda is a serverless computing solution. It enables the users to run codes without the need to provision or administer servers. It is like an incident-driven platform that can be implemented when necessary. Lambda executes the code and loads it into the system at the time of the event. For instance, whenever some application is uploaded into the Amazon storage services(S3), the Lambda will automatically cut, resize and make it compatible for all devices.
The users must write the codes in languages that are supported by Lambda. The languages supported by AWS Lambda include Java, Node.js, Go, C, Python etc. The users must run the application codes within the runtime environment.
The codes that are run on the Lambda are called “Lambda Function”. The function can be then related to any specific AWS cloud managed resources like the S3 bucket, Amazon DynamoDB Table, Amazon Kinesis stream, Amazon SNS Notification etc.
While the code is in your control Lambda takes responsibility for providing the compute resources like Network, Memory, CPU, and others. However, the users are not allowed to log in to their compute instances nor can they customize or configure the operating system.

This means AWS Lambda will deliver all the operational and administrative services on behalf of the clients that include deploying the code, monitoring resources, performing all security tasks-scans, updates, performance checks and similar.

The compute time is calculated in milliseconds and when you are utilizing the AWS Lambda, you will be charged only for the functions you have used. If it is not in use, you are not charged anything. This is far more cost saving for the users in comparison to the other services including the EC2 platform.
As a developer, you will find more time to focus on developing new codes leaving all the other aspects related to the code on AWS like scalability, reliability, and availability.
AWS Lambda faces its competition from the AWS arch rivals like the Google’s Functions, Microsoft’s Azure functions etc.  IBM has an open source platform named “OpenWhisk”. Amazon, however, is the first to initiate it back in 2014.
The AWS Lambda can be used to build back-end services for any of your applications with the Lambda API or API endpoints. This can reduce your device battery from draining.
Yet another benefit with the AWS Lambda is, it is not necessary for you to be an expert in any of the languages or frameworks. You can use any of the third-party codes.


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