Lambda concurrency and throttling in AWS - Mini Project: Build & Apply

AWS Lambda Concurrency and Throttling Setup

📖 Scenario: You are working as a cloud engineer for a company that needs to control how many AWS Lambda functions run at the same time. This helps avoid extra costs and keeps the system stable.

🎯 Goal: Build an AWS Lambda function configuration that sets a reserved concurrency limit to control how many instances can run simultaneously and configure a throttling behavior.

📋 What You'll Learn

Create a Lambda function resource named MyLambdaFunction with a basic handler and runtime.

Add a reserved concurrency limit of 5 to MyLambdaFunction.

Configure a dead letter queue (DLQ) using an existing SQS queue ARN arn:aws:sqs:us-east-1:123456789012:MyDLQ.

Set the maximum retry attempts to 2 in the event invoke configuration.

💡 Why This Matters

🌍 Real World

Controlling Lambda concurrency and throttling helps prevent unexpected costs and ensures your application remains stable under load.

💼 Career

Cloud engineers and DevOps professionals often configure Lambda concurrency and retry settings to optimize performance and reliability.

1

Create the basic AWS Lambda function resource

Create an AWS Lambda function resource named MyLambdaFunction with the handler set to index.handler and runtime set to nodejs18.x.

AWS

# Define the Lambda function resource
# Your code here

Need a hint?

Use the aws_lambda_function resource with the exact name MyLambdaFunction.

2

Add reserved concurrency limit to the Lambda function

Add a reserved concurrency limit of 5 to the existing MyLambdaFunction resource.

AWS

resource "aws_lambda_function" "MyLambdaFunction" {
  function_name = "MyLambdaFunction"
  handler       = "index.handler"
  runtime       = "nodejs18.x"
  role          = "arn:aws:iam::123456789012:role/lambda-execution-role"
  filename      = "function.zip"
  # Add reserved concurrency limit here
  # Your code here
}

Need a hint?

Add the reserved_concurrent_executions attribute with value 5 inside the Lambda resource.

3

Configure dead letter queue (DLQ) for the Lambda function

Add a dead letter configuration to MyLambdaFunction using the SQS queue ARN arn:aws:sqs:us-east-1:123456789012:MyDLQ.

AWS

resource "aws_lambda_function" "MyLambdaFunction" {
  function_name       = "MyLambdaFunction"
  handler             = "index.handler"
  runtime             = "nodejs18.x"
  role                = "arn:aws:iam::123456789012:role/lambda-execution-role"
  filename            = "function.zip"
  reserved_concurrent_executions = 5
  # Add dead letter config here
  # Your code here
}

Need a hint?

Use the dead_letter_config block with target_arn set to the given SQS ARN.

4

Set maximum retry attempts for event invoke configuration

Create an aws_lambda_event_invoke_config resource for MyLambdaFunction that sets maximum_retry_attempts to 2.

AWS

resource "aws_lambda_function" "MyLambdaFunction" {
  function_name       = "MyLambdaFunction"
  handler             = "index.handler"
  runtime             = "nodejs18.x"
  role                = "arn:aws:iam::123456789012:role/lambda-execution-role"
  filename            = "function.zip"
  reserved_concurrent_executions = 5

  dead_letter_config {
    target_arn = "arn:aws:sqs:us-east-1:123456789012:MyDLQ"
  }
}

# Add event invoke config resource below
# Your code here

Need a hint?

Create a separate resource named MyLambdaInvokeConfig for event invoke config with the specified retry attempts.