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+# Function chaining with AWS Lambda durable functions
+
+This pattern demonstrates the **function chaining** workflow pattern using AWS Lambda durable functions. A durable orchestrator chains three Lambda functions sequentially, with automatic checkpointing after each step for fault tolerance.
+
+Learn more about this pattern at Serverless Land Patterns: https://serverlessland.com/patterns/lambda-durable-function-chaining-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 SAM CLI](https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/serverless-sam-cli-install.html) installed (version 1.141.0+ with DurableConfig support)
+* Python 3.13+
+
+## Deployment Instructions
+
+1. Create a new directory, navigate to that directory in a terminal and clone the GitHub repository:
+    ```bash
+    git clone https://github.com/aws-samples/serverless-patterns
+    ```
+2. Change directory to the pattern directory:
+    ```bash
+    cd serverless-patterns/lambda-durable-function-chaining-sam
+    ```
+3. Build and deploy the application:
+    ```bash
+    sam build
+    sam deploy --guided
+    ```
+4. During the prompts:
+    * Enter a stack name
+    * Enter your preferred AWS Region
+    * Accept the defaults for remaining options
+
+## How it works
+
+This pattern implements the **function chaining** workflow pattern where a durable orchestrator invokes multiple Lambda functions in sequence, passing the output of each step as input to the next.
+
+### Architecture
+
+```mermaid
+flowchart LR
+    A[Input] --> B[Durable Orchestrator]
+    B -->|context.invoke| C[Step 1: Add Data]
+    C -->|checkpoint| B
+    B -->|context.invoke| D[Step 2: Transform]
+    D -->|checkpoint| B
+    B -->|context.invoke| E[Step 3: Finalize]
+    E -->|checkpoint| B
+    B --> F[Output]
+    
+    subgraph Lambda durable function
+        B
+    end
+    
+    subgraph Regular Lambda Functions
+        C
+        D
+        E
+    end
+```
+
+The orchestrator uses `context.invoke()` to chain 3 Lambda functions with automatic checkpointing.
+
+### What are AWS Lambda durable functions?
+
+Lambda durable functions enable you to build resilient, long-running workflows with automatic state management. Key capabilities:
+
+- **Checkpoint/Replay**: Each `context.invoke()` creates a checkpoint. If the function fails, it replays from the beginning but skips completed steps using stored results.
+- **Fault Tolerance**: Workflows automatically recover from failures without re-executing completed work.
+- **Up to 1 Year Execution**: Durable functions can run for extended periods with waits that don't incur compute charges.
+
+### Data Flow
+
+```
+Input:  {"id": "test-123", "name": "demo", "value": 5}
+
+Step 1 (Add):       value = 5 + 10 = 15
+Step 2 (Transform): value = 15 × 2 = 30, name = "DEMO"
+Step 3 (Finalize):  value = 30 + 5 = 35, status = "COMPLETED"
+
+Output: {"value": 35, "final_value": 40, "transformed_name": "DEMO", "status": "COMPLETED"}
+```
+
+### Fault Tolerance Example
+
+If the orchestrator fails after Step 2 completes:
+1. Lambda automatically retries the orchestrator
+2. During replay, Steps 1 and 2 are **skipped** (results loaded from checkpoints)
+3. Step 3 executes normally
+4. Workflow completes successfully
+
+## Testing
+
+1. Get the orchestrator alias ARN from stack outputs:
+    ```bash
+    DURABLE_FUNCTION_ARN=$(aws cloudformation describe-stacks \
+      --stack-name durable-function-chaining \
+      --query 'Stacks[0].Outputs[?OutputKey==`OrchestratorAliasArn`].OutputValue' \
+      --output text)
+    ```
+
+2. Invoke the workflow:
+    ```bash
+    aws lambda invoke \
+      --function-name "$DURABLE_FUNCTION_ARN" \
+      --payload '{"id": "test-123", "name": "demo", "value": 5}' \
+      --cli-binary-format raw-in-base64-out \
+      response.json
+
+    cat response.json
+    ```
+
+3. Expected output:
+    ```json
+    {
+      "workflow": "completed",
+      "input": {"id": "test-123", "name": "demo", "value": 5},
+      "output": {
+        "id": "test-123",
+        "name": "demo",
+        "step1_completed": true,
+        "value": 35,
+        "step2_completed": true,
+        "transformed_name": "DEMO",
+        "step3_completed": true,
+        "status": "COMPLETED",
+        "final_value": 40
+      }
+    }
+    ```
+
+## Cleanup
+
+```bash
+sam delete --stack-name durable-function-chaining
+```
+
+## Resources
+
+- [Lambda durable functions Documentation](https://docs.aws.amazon.com/lambda/latest/dg/durable-functions.html)
+- [Durable Execution SDK for Python](https://github.com/aws/aws-durable-execution-sdk-python)
+- [AWS Blog: Build multi-step applications with Lambda durable functions](https://aws.amazon.com/blogs/aws/build-multi-step-applications-and-ai-workflows-with-aws-lambda-durable-functions/)
+
+----
+Copyright 2026 Amazon.com, Inc. or its affiliates. All Rights Reserved.
+
+SPDX-License-Identifier: MIT-0
diff --git a/lambda-durable-function-chaining-sam/example-pattern.json b/lambda-durable-function-chaining-sam/example-pattern.json
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+{
+  "title": "Function chaining with AWS Lambda durable functions",
+  "description": "Demonstrates the function chaining pattern using Lambda durable functions with automatic checkpointing and fault-tolerant sequential execution",
+  "language": "Python",
+  "level": "200",
+  "framework": "AWS SAM",
+  "introBox": {
+    "headline": "How it works",
+    "text": [
+      "This pattern demonstrates the function chaining pattern using Lambda durable functions.",
+      "A durable orchestrator function chains three Lambda functions sequentially using context.invoke().",
+      "Each invocation creates an automatic checkpoint, enabling the workflow to resume from the last successful step after failures.",
+      "Step 1 (Add) initializes data and adds 10 to the input value.",
+      "Step 2 (Transform) doubles the value and transforms the name to uppercase.",
+      "Step 3 (Finalize) adds 5 to the value and sets the completion status.",
+      "The pattern showcases fault-tolerant workflow orchestration without managing state infrastructure."
+    ]
+  },
+  "gitHub": {
+    "template": {
+      "repoURL": "https://github.com/aws-samples/serverless-patterns/tree/main/lambda-durable-function-chaining-sam",
+      "templateURL": "serverless-patterns/lambda-durable-function-chaining-sam",
+      "projectFolder": "lambda-durable-function-chaining-sam",
+      "templateFile": "template.yaml"
+    }
+  },
+  "resources": {
+    "bullets": [
+      {
+        "text": "Lambda durable functions Documentation",
+        "link": "https://docs.aws.amazon.com/lambda/latest/dg/durable-functions.html"
+      },
+      {
+        "text": "Durable Execution SDK for Python",
+        "link": "https://github.com/aws/aws-durable-execution-sdk-python"
+      },
+      {
+        "text": "AWS Blog: Build multi-step applications with Lambda durable functions",
+        "link": "https://aws.amazon.com/blogs/aws/build-multi-step-applications-and-ai-workflows-with-aws-lambda-durable-functions/"
+      }
+    ]
+  },
+  "deploy": {
+    "text": [
+      "sam build",
+      "sam deploy --guided"
+    ]
+  },
+  "testing": {
+    "text": [
+      "Get the orchestrator alias ARN from stack outputs:",
+      "<code>DURABLE_FUNCTION_ARN=$(aws cloudformation describe-stacks --stack-name durable-function-chaining --query 'Stacks[0].Outputs[?OutputKey==`OrchestratorAliasArn`].OutputValue' --output text)</code>",
+      "Invoke the workflow:",
+      "<code>aws lambda invoke --function-name \"$DURABLE_FUNCTION_ARN\" --payload '{\"id\": \"test-123\", \"name\": \"demo\", \"value\": 5}' --cli-binary-format raw-in-base64-out response.json</code>",
+      "<code>cat response.json</code>",
+      "Expected output shows value transformation: 5 → +10 (step1) → ×2 (step2) → +5 (step3) = 35"
+    ]
+  },
+  "cleanup": {
+    "text": [
+      "Delete the stack: <code>sam delete</code>"
+    ]
+  },
+  "authors": [
+    {
+      "name": "Sahil Bhimjiani",
+      "image": "https://drive.google.com/file/d/1E2p7S5UtU36x6Sk1xPS3XnSGJyIUoqK7/view?usp=drivesdk",
+      "bio": "Sahil Bhimjiani is a Solutions Architect at Amazon Web Services.",
+      "linkedin": "sahil9701"
+    },
+    {
+      "name": "Anup Rajpara",
+      "image": "https://drive.google.com/file/d/1MqpPNLCqbU4kvvtTspNXZBqD99aVIJI9/view?usp=sharing",
+      "bio": "Anup is a Sr. Technical Account Manager at Amazon Web Services. He is passionate about serverless & event-driven architectures.",
+      "linkedin": "anup-rajpara-developer/"
+    }
+  ]
+}
diff --git a/lambda-durable-function-chaining-sam/src/orchestrator/app.py b/lambda-durable-function-chaining-sam/src/orchestrator/app.py
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+import os
+from aws_durable_execution_sdk_python import DurableContext, durable_execution
+
+
+@durable_execution
+def lambda_handler(event, context: DurableContext):
+    """Durable orchestrator that chains 3 Lambda functions."""
+    step1_arn = os.environ['STEP1_FUNCTION_ARN']
+    step2_arn = os.environ['STEP2_FUNCTION_ARN']
+    step3_arn = os.environ['STEP3_FUNCTION_ARN']
+
+    # Step 1: Add initial data
+    result1 = context.invoke(step1_arn, event, name='step1-add')
+
+    # Step 2: Transform data
+    result2 = context.invoke(step2_arn, result1, name='step2-transform')
+
+    # Step 3: Finalize
+    result3 = context.invoke(step3_arn, result2, name='step3-finalize')
+
+    return {
+        'workflow': 'completed',
+        'input': event,
+        'output': result3
+    }
diff --git a/lambda-durable-function-chaining-sam/src/orchestrator/requirements.txt b/lambda-durable-function-chaining-sam/src/orchestrator/requirements.txt
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+++ b/lambda-durable-function-chaining-sam/src/orchestrator/requirements.txt
@@ -0,0 +1 @@
+aws-durable-execution-sdk-python
diff --git a/lambda-durable-function-chaining-sam/src/step1_add/app.py b/lambda-durable-function-chaining-sam/src/step1_add/app.py
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+++ b/lambda-durable-function-chaining-sam/src/step1_add/app.py
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+def lambda_handler(event, context):
+    """Step 1: Add initial data fields to the input."""
+    return {
+        'id': event.get('id', 'unknown'),
+        'name': event.get('name', 'default'),
+        'step1_completed': True,
+        'value': event.get('value', 0) + 10
+    }
diff --git a/lambda-durable-function-chaining-sam/src/step2_transform/app.py b/lambda-durable-function-chaining-sam/src/step2_transform/app.py
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+def lambda_handler(event, context):
+    """Step 2: Transform and enrich the data."""
+    return {
+        **event,
+        'step2_completed': True,
+        'value': event.get('value', 0) * 2,
+        'transformed_name': event.get('name', '').upper()
+    }
diff --git a/lambda-durable-function-chaining-sam/src/step3_finalize/app.py b/lambda-durable-function-chaining-sam/src/step3_finalize/app.py
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index 000000000..593ec400f
--- /dev/null
+++ b/lambda-durable-function-chaining-sam/src/step3_finalize/app.py
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+def lambda_handler(event, context):
+    """Step 3: Finalize the data with status."""
+    return {
+        **event,
+        'step3_completed': True,
+        'status': 'COMPLETED',
+        'final_value': event.get('value', 0) + 5
+    }
diff --git a/lambda-durable-function-chaining-sam/template.yaml b/lambda-durable-function-chaining-sam/template.yaml
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+++ b/lambda-durable-function-chaining-sam/template.yaml
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+AWSTemplateFormatVersion: '2010-09-09'
+Transform: AWS::Serverless-2016-10-31
+Description: Function chaining with AWS Lambda durable functions
+
+Globals:
+  Function:
+    Timeout: 30
+    Runtime: python3.14
+    MemorySize: 512
+
+Resources:
+  # Worker Functions
+  Step1AddFunction:
+    Type: AWS::Serverless::Function
+    Properties:
+      FunctionName: step1-add
+      CodeUri: src/step1_add/
+      Handler: app.lambda_handler
+
+  Step2TransformFunction:
+    Type: AWS::Serverless::Function
+    Properties:
+      FunctionName: step2-transform
+      CodeUri: src/step2_transform/
+      Handler: app.lambda_handler
+
+  Step3FinalizeFunction:
+    Type: AWS::Serverless::Function
+    Properties:
+      FunctionName: step3-finalize
+      CodeUri: src/step3_finalize/
+      Handler: app.lambda_handler
+
+  # Durable Orchestrator Function
+  OrchestratorFunction:
+    Type: AWS::Serverless::Function
+    Properties:
+      FunctionName: durable-orchestrator
+      CodeUri: src/orchestrator/
+      Handler: app.lambda_handler
+      Timeout: 900
+      AutoPublishAlias: live
+      DurableConfig:
+        ExecutionTimeout: 900
+        RetentionPeriodInDays: 7
+      Environment:
+        Variables:
+          STEP1_FUNCTION_ARN: !Sub ${Step1AddFunction.Arn}:$LATEST
+          STEP2_FUNCTION_ARN: !Sub ${Step2TransformFunction.Arn}:$LATEST
+          STEP3_FUNCTION_ARN: !Sub ${Step3FinalizeFunction.Arn}:$LATEST
+      Policies:
+        - arn:aws:iam::aws:policy/service-role/AWSLambdaBasicDurableExecutionRolePolicy
+        - Version: '2012-10-17'
+          Statement:
+            - Effect: Allow
+              Action: lambda:InvokeFunction
+              Resource:
+                - !Sub ${Step1AddFunction.Arn}:*
+                - !Sub ${Step2TransformFunction.Arn}:*
+                - !Sub ${Step3FinalizeFunction.Arn}:*
+                - !GetAtt Step1AddFunction.Arn
+                - !GetAtt Step2TransformFunction.Arn
+                - !GetAtt Step3FinalizeFunction.Arn
+
+Outputs:
+  OrchestratorAliasArn:
+    Description: Orchestrator function Alias ARN (use this for invocations)
+    Value: !Ref OrchestratorFunction.Alias
+  Step1FunctionArn:
+    Value: !GetAtt Step1AddFunction.Arn
+  Step2FunctionArn:
+    Value: !GetAtt Step2TransformFunction.Arn
+  Step3FunctionArn:
+    Value: !GetAtt Step3FinalizeFunction.Arn