fix: Address PR review comments

- Scope ecs:RunTask to specific task definitions instead of wildcard
- Scope ecs:DescribeTasks to cluster tasks
- Scope CheckpointDurableExecutions to specific function with
  durable-execution/* path
- Fix directory name in README to lambda-ecs-durable-python-sam
- Add expected test output for sync and callback patterns
- Lowercase durable functions throughout docs
- Add LinkedIn profile
- Tested: both sync and callback patterns verified in CloudShell

Author: 4D54

lambda-ecs-durable-python-sam/README.md

@@ -1,4 +1,4 @@
-# Lambda Durable Functions to Amazon ECS with Python
+# AWS Lambda durable functions to Amazon ECS with Python
 
 This pattern demonstrates how to invoke Amazon ECS tasks from AWS Lambda durable functions using Python. The workflow starts an ECS task, waits for a callback, and resumes based on the task result while maintaining state across the pause/resume cycle.
 
@@ -23,7 +23,7 @@ Important: this application uses various AWS services and there are costs associ
     ```
 1. Change directory to the pattern directory:
     ```
-    cd lambda-ecs-python-sam
+    cd lambda-ecs-durable-python-sam
     ```
 1. From the command line, use AWS SAM to build the application:
     ```
@@ -94,13 +94,14 @@ aws lambda invoke \
   --payload '{"message": "Hello from sync pattern", "processingTime": 10}' \
   response.json
 
-# Monitor Lambda logs
-aws logs tail /aws/lambda/$SYNC_FUNCTION --follow
-
 # Monitor ECS task logs
 aws logs tail /ecs/$STACK_NAME --follow
 ```
 
+A successful sync test shows these log messages:
+- ECS task logs: `[SYNC] Completed: {"status": "success", ...}`
+- Lambda logs: `Durable execution completed` with the ECS task result
+
 ### Test Callback Pattern
 
 ```bash
@@ -119,7 +120,10 @@ aws logs tail /aws/lambda/$CALLBACK_FUNCTION --follow
 aws logs tail /ecs/$STACK_NAME --follow
 ```
 
-Expected output: The Lambda function should complete and return the ECS task result. The logs should show the callback being received and the function resuming execution.
+A successful callback test shows these log messages:
+- Lambda logs: `Callback created` followed by `Waiting for callback from ECS task`
+- ECS task logs: `[CALLBACK] Success callback sent!`
+- Lambda logs: `Callback received` followed by `Durable execution completed` with the ECS task result
 
 ## Cleanup
 

lambda-ecs-durable-python-sam/example-pattern.json

@@ -1,13 +1,13 @@
 {
   "title": "AWS Lambda Durable Functions to Amazon ECS with Python",
-  "description": "Invoke ECS tasks from Lambda Durable Functions with automatic checkpointing, state management, and resilient execution patterns",
+  "description": "Invoke ECS tasks from Lambda durable functions with automatic checkpointing, state management, and resilient execution patterns",
   "language": "Python",
   "level": "300",
   "framework": "SAM",
   "introBox": {
     "headline": "How it works",
     "text": [
-      "This pattern demonstrates AWS Lambda Durable Functions invoking Amazon ECS tasks with resilient, long-running execution capabilities:",
+      "This pattern demonstrates AWS Lambda durable functions invoking Amazon ECS tasks with resilient, long-running execution capabilities:",
       "1. Durable Synchronous Pattern: Lambda uses checkpointed steps and durable waits to poll ECS task status. Can run for up to 1 year with automatic recovery from failures. No compute charges during wait periods.",
       "2. Durable Callback Pattern: Lambda uses checkpointed steps to reliably initiate ECS tasks. Each step (create record, start task, update status) is automatically checkpointed for guaranteed execution.",
       "The pattern uses the AWS Durable Execution SDK for Python, providing automatic state management, checkpoint-based recovery, and cost-effective long-running workflows. Includes inline Python code in ECS containers, VPC networking, and DynamoDB for callback tracking."
@@ -24,7 +24,7 @@
   "resources": {
     "bullets": [
       {
-        "text": "Lambda Durable Functions",
+        "text": "Lambda durable functions",
         "link": "https://docs.aws.amazon.com/lambda/latest/dg/durable-functions.html"
       },
       {
@@ -62,7 +62,7 @@
       "name": "Mian Tariq",
       "image": "",
       "bio": "Senior Delivery Consultant",
-      "linkedin": ""
+      "linkedin": "mian-tariq"
     }
   ]
 }

lambda-ecs-durable-python-sam/template.yaml

@@ -1,7 +1,7 @@
 AWSTemplateFormatVersion: '2010-09-09'
 Transform: AWS::Serverless-2016-10-31
 Description: >
-  Lambda Durable Functions to ECS with Python - Demonstrates durable execution patterns with ECS tasks
+  Lambda durable functions to ECS with Python - Demonstrates durable execution patterns with ECS tasks
 
 Parameters:
   VpcCIDR:
@@ -315,8 +315,11 @@ Resources:
             - Effect: Allow
               Action:
                 - ecs:RunTask
+              Resource: !Ref SyncTaskDefinition
+            - Effect: Allow
+              Action:
                 - ecs:DescribeTasks
-              Resource: '*'
+              Resource: !Sub 'arn:aws:ecs:${AWS::Region}:${AWS::AccountId}:task/${AWS::StackName}-cluster/*'
             - Effect: Allow
               Action:
                 - iam:PassRole
@@ -327,7 +330,7 @@ Resources:
               Action:
                 - lambda:CheckpointDurableExecutions
                 - lambda:GetDurableExecutionState
-              Resource: '*'
+              Resource: !Sub 'arn:aws:lambda:${AWS::Region}:${AWS::AccountId}:function:${AWS::StackName}-sync-function:$LATEST/durable-execution/*'
 
   # Lambda Function for Callback Pattern (Durable)
   CallbackLambdaFunction:
@@ -359,7 +362,7 @@ Resources:
             - Effect: Allow
               Action:
                 - ecs:RunTask
-              Resource: '*'
+              Resource: !Ref CallbackTaskDefinition
             - Effect: Allow
               Action:
                 - iam:PassRole