Aws lambda nodejs example

Aws lambda nodejs example ,AWS Lambda is an Amazon Web Service offering that enables developers to build serverless applications quickly and easily. With AWS Lambda, you can create a function handler in any of the supported languages such as Python, Java, Node.js, or C# and upload it as a zip file to the service. The code you write will then be executed in response to events such as API Gateway requests or changes in your Amazon CloudWatch Logs. Additionally, developers can use the popular boto3 library to interact with other AWS services from within their code. Unit tests can also be written for your lambda functions so that they are robust and reliable when deployed. With its flexible deployment model and low cost of entry, AWS Lambda has become the go-to platform for deploying serverless functions.

AWS Lambda also supports creating anonymous functions, allowing you to execute a piece of code without having to define a named function first. This can be especially useful when you want to quickly test a small piece of code in response to an event. You can also use AWS Lambda layers to separate your code into different components and reuse them across multiple projects. These layers can contain libraries, custom run times, and other dependencies that are needed for your application development.

To make developing lambda functions even easier, there are several integrated development environments (IDEs) available such as Visual Studio Code, Eclipse, IntelliJ IDEA, and PyCharm that have support for AWS.

Now lets dig more

Top Languages – Aws lambda nodejs example

• Python
• Node Js
• Java
• .Net Core

Each option has its own set of pros and cons. In my opinion, it is better to use node.js lambda for asynchronous calls that require waiting, while java and python are suitable for tasks that involve intensive processing and authorization. However, it is possible to use node.js for these tasks as well, but it ultimately depends on how easily you can implement the solution.

Invigorated In easy language aws lambda-Aws lambda nodejs example

This is simply a function written in node.js, python, or java that accepts input and produces output. All three languages require compilers, hardware, networking capabilities, connections, and libraries in order to execute this function code.

Typically, when we engage in regular programming, we must install all necessary components. However, in the case of AWS Lambda, when we execute a function, everything is generated on-the-fly according to predefined rules. The function is run, and then all resources are released. It’s akin to renting hardware, connections, and tunnels solely for the purpose of executing code, and then relinquishing them.

What you want to with AWS lambda?-Aws lambda nodejs example

1. Serverless backend: AWS Lambda can be used to create a serverless backend for web and mobile applications. It can handle authentication, database operations, and other backend tasks.
2. Image and video processing: AWS Lambda can be used to process images and videos in real-time. For example, it can be used to resize images, transcode videos, or add watermarks.
3. Data processing and analysis: AWS Lambda can be used to process and analyze data in real-time. For example, it can be used to perform sentiment analysis on social media data, or to aggregate data from multiple sources.
4. Internet of Things (IoT): AWS Lambda can be used to process data from IoT devices in real-time. For example, it can be used to analyze sensor data from smart homes, or to trigger actions based on events from connected devices.
5. Chatbots: AWS Lambda can be used to build chatbots for messaging platforms like Facebook Messenger or Slack. It can handle natural language processing, database queries, and other chatbot tasks.

How to execute aws lambda

1. Create a Lambda function: You can create a Lambda function using the AWS Management Console or AWS CLI. Specify the function code and runtime, and configure the function settings, such as the function timeout, memory size, and execution role.
2. Test the function: You can test the function using the Lambda console or by using a testing framework, such as AWS SAM or Serverless Framework. Invoke the function with sample event data to verify that it produces the expected output.
3. Deploy the function: Once you have tested the function, you can deploy it to a Lambda function or an API Gateway. You can also use AWS CloudFormation or other deployment tools to automate the deployment process.
4. Monitor the function: You can monitor the function using CloudWatch Logs and CloudWatch Metrics. You can view logs and metrics to troubleshoot issues and optimize the function performance.

Simple Example for aws lamda

When you open AWS Console just open Lambda either from lambda tab or search on top

You can to console https://aws.amazon.com/console/

Click on create function

I have just added function name and use nodejs as language

If you are administrator and have all access, You can successfully create a basic function .
Basic function, provide you with log feature (Cloud Watch)and default time out of 3 second. Log function needed when you want to debug some thing and logs errors or data.

The screen look like following

There are things like
Trigger, Destination , I will cover later for this(Out of scope for current article)

const mysql = require("mysql");//extra library i have used to insert data in mysql(Not used in  current code)
const config = require("./config.json"); //json file i have used to get mysql connection parameter(Not used in current code)
context.callbackWaitsForEmptyEventLoop = false;
exports.handler = (event, context, callback) => {
//do what ever you want , with data
//data comes from event parameter,
 callback(null, {
            statusCode: 200,
            headers: { "Content-Type": "application/json" },
            body: "",
          });
    
};

Above is the basic nodejs aws lambda function, which will run and return 200 output

Data comes in event parameter, which you can use further processing.
Event data comes from , how you executing function, Either by triggering via some action like SQS data enter, s3 upload any thing.
You can also get data from API rest point like POST , PUT GET (All data goes in event parameter)
For attaching this function you have to create API trigger for this lambda function , which i will cover in later articles.