One Lambda Function OR Multiple Lambda Functions

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Can I write one Lambda Function to Handle Multiple REST API Requests. I have my data in Dynamo DB

Flow: API Gateway-->Lambda Function-->Dynamo DB Example:

Request1:GET Method-Need to pull data from Table1
/device/{device_id}/start/{start_date}/end/{end_date}/events


Request2:GET Method-Need to pull data from Table2
/device/{device_id}/start/{start_date}/end/{end_date}/event_count

Request3:POST Method-Need to put data from Table3
/device/{device_id}/start/{start_date}/end/{end_date}/fault_events

What is the best solution should I write 3 different lambda functions to handle 3 different requests or can I handle all the 3 requests in one BIG Lambda Function.

Yes, you can have one Lambda function that handle more than one API. The question is why?

Doing this is considered (almost) an anti-pattern as you won't be able to scale independently the various scenario.

These are two slides from the link pasted above from Chris Munns talk at last re:invent and I strongly agree.

Best practices for working with AWS Lambda functions, For example, you can have one function handle several HTTP endpoints and After all, a Lambda function, like a Docker container, or an EC2 server, is just a With tagging, we can also catalogue functions across multiple� 03 In the navigation panel, under AWS Lambda section, choose Functions. 04 Choose the Lambda function that you want to reconfigure then click on the function name to access its configuration page. 05 Select the Configuration tab then click Execution role to expand the panel with IAM role that defines the permissions for the selected function.

While I don't know enough about your use case to recommend using 1 or multiple Lambda, I can explain one way of working with all queries inside one function.

You can pass in parameters from the lambda event, which come from the AWS API parameters and then use these to determine following logic. An example would look like this -

def lambda_handler(event, context):
    try:
        type_query = str(event['queryStringParameters']['type_query'])
        if type_query == 'x':
            ...do the things
        elif type_query == 'y':
            ...do the other things
        elif type_query == 'z':
            ...do the 3rd thing
    except:
        return {
            'body': "Invalid Params"
        }

Hope this helps!

AWS Lambda – FAQs, Each Lambda function handles a single event making your functions easy to are performed in a single Lambda function, and multiple HTTP endpoints are� For more information, see the Anonymous function expressions section of the C# language specification. Featured book chapter. Delegates, Events, and Lambda Expressions in C# 3.0 Cookbook, Third Edition: More than 250 solutions for C# 3.0 programmers. See also. C# reference; C# operators and expressions; LINQ (Language-Integrated Query

You have to find the right balance based on what your application/service does. In general I like to break things down into pretty small pieces, but you need to be careful you aren't going too far, and creating nano-services, which many consider an anti-pattern due to the maintenance overhead you end up creating.

AWS Lambda — should you have few monolithic functions or many , The Lambda functions can perform any kind of computing task, from serving web When building APIs using AWS Lambda, one execution of a Lambda function to use AWS Step Functions to build a workflow that includes multiple functions. One nuance that as a beginner I didn't pick up on at first is that you can have one code base and deploy the exact same code as multiple Lambda functions. This allows you to have the benefits of function separation and the benefits of a consolidated approach in your code base.

As many pointed out, it really depends by your use case. In general it should be fine to handle multiple endpoints in one Lambda function. One approach you can use, if you are using Node.JS, is wrapping an express web server inside a Lambda function. That way you will be able to both test the function locally (by running the web server) and use it in lambda (by wrapping the server inside the Lambda proxy). But again, it really depends on your use case, and as Jason mentioned you should also be careful to not split them too much

Serverless Code Patterns, You can't execute statements but you can call functions in the lambda function, so the unpythonic dirty hack lambda x: sort(x) OR x[1] would work: Here the OR evaluates its first argument (return value None) as a bool (=> False), and in that case OR returns its second argument. But as the answers say, better avoid lambda.

AWS Lambda - The Ultimate Guide, Create two Lambda functions. In the AWS console, find the Lamba screen and select “Create a Lambda function”. Select “Blank Function” as a blueprint, and select Next on the trigger screen.

Q: How do I coordinate calls between multiple AWS Lambda functions? You can use AWS Step Functions to coordinate a series of AWS Lambda functions in a specific order. You can invoke multiple Lambda functions sequentially, passing the output of one to the other, and/or in parallel, and Step Functions will maintain state during executions for you.

At a small scale, say, 1 req/s per endpoint, and a total of 10 endpoints (which is 1 monolithic function vs 10 single purposed functions) we’ll have a total of 10 req/s. Given the 100ms execution time, it’s just within what one concurrent function is able to handle. To reach 1 req/s per endpoint, you will have experienced: monolithic: 1