lambda-function | AWS Lambda function with automated IAM policy generation | Cloud Functions library

aws_stepfunctions_tasks.LambdaInvoke.__init__ takes an input_path argument, which defaults to $ - the entire task input. How can I combine that with the context object ($$), since my Lambda needs information from both? Or do I need to use something else, like the payload argument, to specify more than one input?

I have an array of objects which I want to pass to a Lambda function iteratively. However, I also need to have an ECS Task running for each Lambda function I start.

I found that I would need to have an AWS Step Function where I iterate through an array of JSON inputs. For each input, I would have to start an ECS Task, wait for it to be in a RUNNING state, then move to next step where I invoke a Lambda function. In my case, the ECS Task itself does not return anything. It is supposed to stay running because the Lambda function uses it.

Currently, I have it so that the ECS Task starts but it stays stuck in the starting the ECS Task step because it does not return anything. How would I be able to wait for it be in a RUNNING state before moving to the next step?

Current Step Function definition:

I am currently trying to download a File from a public git-Repository using curl in my Unreal C++ Project. Here is the code I'm trying to execute that I derived from the FTP-Example:

I have two Cloudformation templates

• one which creates a VPC, ALB and any other shared resources etc.
• one which creates an elastic beanstalk environment and relevant listener rules to direct traffic to this environment using the imported shared load balancer (call this template Environment)

The problem I'm facing is the Environment template creates a AWS::ElasticBeanstalk::Environment which subsequently creates a new CFN stack which contains things such as the ASG, and Target Group (or process as it is known to elastic beanstalk). These resources are not outputs of the AWS owned CFN template used to create the environment.

When setting

I need something to suspend Lambdas in C++ and resume them. I try to narrow it down to a very simple example:

Lets assume I have a singleton class orchestrator where I can register a lambda:

I'm trying to create a basic lambda and an S3 bucket using the Serverless Framework. I have cut out a small code snippet from this post: Enable Lambda function to an S3 bucket using cloudformation

I am wondering about how to configure AWS Lambda, SNS, and SQS for processing background tasks.

There are three ways I thought.

Option 1. A function called consumer can execute workers by receiving tasks from the queue.

Option 2. Send all tasks to SNS. One worker and one SQS receive and work from SNS.

Option 3. Directly forward the task to one SQS and one lambda from the APP.

The biggest concern is whether to directly invoke Lambda in the app or use task consumer using SQS or SNS.

My idea is from Triggering multiple lambda functions from one SQS trigger

I am trying to create an Event Bridge rule that will run my Lambda function every 30 mins. I based my code on this answer I found here on SO Use terraform to set up a lambda function triggered by a scheduled event source

Here is my terraform code:

monitoring/main.tf:

Good day,

I would like to ask if it's possible to access more than one column in a lambda-function inside a pandas-dataframe or if there's an alternative!?

For example my dataframe is looking something like this: