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111 changes: 111 additions & 0 deletions sqs-lambda-lmi-esm-provisioned-sam/README.md
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# Amazon SQS + Lambda Managed Instances (LMI) with Provisioned Mode ESM

This pattern deploys an Amazon SQS Standard Queue connected to an AWS Lambda function via an Event Source Mapping (ESM) configured with **Provisioned Mode** — an ESM feature that pre-allocates dedicated polling resources for predictable, high-throughput message processing.

Learn more about this pattern at Serverless Land Patterns: [https://serverlessland.com/patterns/sqs-lambda-lmi-esm-provisioned-sam](https://serverlessland.com/patterns/sqs-lambda-lmi-esm-provisioned-sam)

Important: this application uses various AWS services and there are costs associated with these services after the Free Tier usage - please see the [AWS Pricing page](https://aws.amazon.com/pricing/) for details. You are responsible for any AWS costs incurred. No warranty is implied in this example.

## Requirements

* [Create an AWS account](https://portal.aws.amazon.com/gp/aws/developer/registration/index.html) if you do not already have one and log in. The IAM user that you use must have sufficient permissions to make necessary AWS service calls and manage AWS resources.
* [AWS CLI](https://docs.aws.amazon.com/cli/latest/userguide/install-cliv2.html) installed and configured
* [Git Installed](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git)
* [AWS Serverless Application Model](https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/serverless-sam-cli-install.html) (AWS SAM) installed

## Build Instructions

1. From the command line, use AWS SAM to build the AWS resources for the pattern as specified in the template.yml file:
```
sam build
```

## Deployment Instructions

1. Create a new directory, navigate to that directory in a terminal and clone the GitHub repository:
```
git clone https://github.com/aws-samples/serverless-patterns
```
2. Change directory to the pattern directory:
```
cd sqs-lambda-lmi-esm-provisioned-sam
```
1. From the command line, use AWS SAM to deploy the AWS resources for the pattern as specified in the template.yml file:
```
sam deploy --guided
```
1. During the prompts:
* Enter a stack name
* Enter the desired AWS Region
* Accept the default parameter values or tune them for your workload
* Allow SAM CLI to create IAM roles with the required permissions.

Once you have run `sam deploy --guided` mode once and saved arguments to a configuration file (samconfig.toml), you can use `sam deploy` in future to use these defaults.

1. Note the outputs from the SAM deployment process. These contain the resource names and/or ARNs which are used for testing.

## How it works

1. A producer (any AWS service, SDK client, or CLI) sends messages to the SQS Standard Queue.
2. The ESM's provisioned event pollers continuously long-poll the queue using up to 10 SQS API calls per second per poller.
3. When messages are available, pollers assemble batches (up to `BatchSize` messages, waiting up to `MaxBatchingWindowInSeconds`) and invoke the Lambda function concurrently.
4. Lambda scales the number of active pollers between `MinimumPollers` and `MaximumPollers` based on queue depth, adding up to **1,000 concurrent executions per minute**.
5. If a message fails processing after 3 attempts (`maxReceiveCount`), it is moved to the Dead Letter Queue.
6. A CloudWatch Alarm fires as soon as any message lands in the DLQ.

## Testing

1. Get the queue URL from the stack outputs:

```bash
aws cloudformation describe-stacks \
--stack-name <your-stack-name> \
--query "Stacks[0].Outputs"
```

2. Send test messages:

```bash
QUEUE_URL=<QueueUrl from outputs>

# Send a single message
aws sqs send-message \
--queue-url $QUEUE_URL \
--message-body '{"orderId": "123", "amount": 99.99}'

# Send a batch of 10
for i in $(seq 1 10); do
aws sqs send-message \
--queue-url $QUEUE_URL \
--message-body "{\"orderId\": \"$i\", \"amount\": $((RANDOM % 100))}"
done
```

3. Check Lambda logs:

```bash
sam logs --stack-name <your-stack-name> --tail
```

4. Inspect the ESM status and poller count:

```bash
ESM_ID=<EventSourceMappingId from outputs>

aws lambda get-event-source-mapping --uuid $ESM_ID
```

## Cleanup

1. Delete the stack
```bash
aws cloudformation delete-stack --stack-name STACK_NAME
```
2. Confirm the stack has been deleted
```bash
aws cloudformation list-stacks --query "StackSummaries[?contains(StackName,'STACK_NAME')].StackStatus"
```
----
Copyright 2025 Amazon.com, Inc. or its affiliates. All Rights Reserved.

SPDX-License-Identifier: MIT-0
68 changes: 68 additions & 0 deletions sqs-lambda-lmi-esm-provisioned-sam/example-pattern.json
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{
"title": "Amazon SQS to AWS Lambda with Lambda Managed Instances (LMI) Provisioned Mode ESM",
"description": "This pattern shows how to process Amazon SQS messages using AWS Lambda Managed Instances (LMI) with a Provisioned Mode Event Source Mapping for faster scaling and higher throughput.",
"language": "Python",
"level": "300",
"framework": "AWS SAM",
"introBox": {
"headline": "How it works",
"text": [
"A producer sends messages to an Amazon SQS Standard Queue. The Event Source Mapping (ESM) is configured with Provisioned Mode, which pre-allocates dedicated event pollers between a configurable minimum and maximum. Each poller handles up to 1 MB/s throughput, 10 concurrent Lambda invocations, and 10 SQS API calls per second.",
"The Lambda function runs on Lambda Managed Instances (LMI) — an EC2-backed execution model that supports multiconcurrency, allowing each execution environment to handle multiple SQS batches simultaneously. LMI instances run inside a private VPC with outbound access via a NAT Gateway.",
"Partial batch failure reporting (ReportBatchItemFailures) ensures only failed messages are returned to the queue. After 3 failed attempts, messages are moved to a Dead Letter Queue. A CloudWatch Alarm fires as soon as any message lands in the DLQ.",
"This pattern deploys one SQS Standard Queue, one Dead Letter Queue, one Lambda function with an LMI Capacity Provider, one Event Source Mapping with Provisioned Mode, a VPC with private subnets and NAT Gateway, and one CloudWatch Alarm."
]
},
"gitHub": {
"template": {
"repoURL": "https://github.com/aws-samples/serverless-patterns/tree/main/sqs-lambda-lmi-esm-provisioned-sam",
"templateURL": "serverless-patterns/sqs-lambda-lmi-esm-provisioned-sam",
"projectFolder": "sqs-lambda-lmi-esm-provisioned-sam",
"templateFile": "template.yaml"
}
},
"resources": {
"bullets": [
{
"text": "Using Lambda with Amazon SQS",
"link": "https://docs.aws.amazon.com/lambda/latest/dg/with-sqs.html"
},
{
"text": "Lambda Managed Instances (LMI) overview",
"link": "https://docs.aws.amazon.com/lambda/latest/dg/managed-instances.html"
},
{
"text": "Event Source Mapping Provisioned Mode for SQS",
"link": "https://docs.aws.amazon.com/lambda/latest/dg/with-sqs.html#sqs-esm-provisioned-mode"
},
{
"text": "Reporting batch item failures for SQS",
"link": "https://docs.aws.amazon.com/lambda/latest/dg/with-sqs.html#services-sqs-batchfailurereporting"
}
]
},
"deploy": {
"text": [
"sam build",
"sam deploy --guided"
]
},
"testing": {
"text": [
"See the GitHub repo for detailed testing instructions."
]
},
"cleanup": {
"text": [
"Delete the stack: <code>aws cloudformation delete-stack --stack-name STACK_NAME</code>."
]
},
"authors": [
{
"name": "Serda Kasaci Yildirim",
"image": "https://drive.google.com/file/d/1rzVS1hrIMdqy6P9i7-o7OBLNc0xY0FVB/view?usp=sharing",
"bio": "Serda is a Solutions Architect at Amazon Web Services (AWS) based in Vienna with 3 years at AWS, specializing in serverless technologies and Event-Driven Architecture.",
"linkedin": "serdakasaci"
}
]
}
19 changes: 19 additions & 0 deletions sqs-lambda-lmi-esm-provisioned-sam/src/handler.py
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import json
import logging

logger = logging.getLogger()
logger.setLevel(logging.INFO)


def lambda_handler(event, context):
batch_item_failures = []

for record in event.get("Records", []):
try:
body = json.loads(record["body"])
logger.info("Processing message", extra={"message_id": record["messageId"], "body": body})
except Exception as e:
logger.error("Failed to process record %s: %s", record["messageId"], e)
batch_item_failures.append({"itemIdentifier": record["messageId"]})

return {"batchItemFailures": batch_item_failures}
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