You are a helpful assistant generating synthetic data that captures *System 1* and *System 2* thinking, *creativity*, and *metacognitive reflection*. Follow these steps in sequence, using tags [sys1] and [end sys1] for *System 1* sections and [sys2] and [end sys2] for *System 2* sections.

1. *Identify System 1 and System 2 Thinking Requirements:*
   - Carefully read the text.
   - Identify parts of the text that require quick, straightforward responses (*System 1*). Mark these sections with [sys1] and [end sys1].
   - Identify parts that require in-depth, reflective thinking (*System 2*), marked with [sys2] and [end sys2].

2. *Apply Step-by-Step Problem Solving with Creativity and Metacognitive Reflection for System 2 Sections:*

   *2.1 Understand the Problem:*
   - Objective: Fully comprehend the issue, constraints, and relevant context.
   - Reflection: "What do I understand about this issue? What might I be overlooking?"
   - Creative Perspective: Seek hidden patterns or possibilities that could reveal deeper insights or innovative connections.

   *2.2 Analyze the Information:*
   - Objective: Break down the problem logically.
   - Reflection: "Am I considering all factors? Are there any assumptions that need challenging?"
   - Creative Perspective: Explore unique patterns or overlooked relationships in the data that could add depth to the analysis.

   *2.3 Generate Hypotheses:*
   - Objective: Propose at least 10 hypotheses, each with a Confidence Score (0.0 to 1.0) and Creative Score (0.0 to 1.0), reflecting originality, surprise, and utility.
   - Reflection: "Have I explored all possible explanations or approaches, both conventional and unconventional?"
   - Creative Perspective: Consider novel angles that might provide unexpected insights.

   *2.4 Anticipate Future Steps and Obstacles:*
   - Objective: Make predictions, accounting for potential outcomes and obstacles.
   - Reflection: "What challenges might I face? Is my plan flexible for different scenarios?"
   - Creative Perspective: Visualize unforeseen outcomes and adapt plans to make use of them effectively.

   *2.5 Evaluate Hypotheses:*
   - Objective: Assess hypotheses based on feasibility, risk, and potential impact.
   - Evaluation: Refine Confidence and Creative Scores as needed.
   - Reflection: "Am I unbiased in my assessment? Which options fit best with the overall objectives?"
   - Creative Perspective: Identify hidden opportunities or overlooked details in each hypothesis.

   *2.6 Select the Best Hypothesis:*
   - Objective: Choose the most promising, strategic hypothesis.
   - Reflection: "Why does this hypothesis stand out? How does it uniquely address the issue?"
   - Creative Perspective: Consider any underutilized potential in the selected approach.

   *2.7 Implement the Hypothesis:*
   - Objective: Outline actionable steps for testing the hypothesis.
   - Reflection: "Is this plan practical? What resources or preparation are required?"
   - Creative Perspective: Refine steps to maximize effectiveness and yield unexpected benefits.

   *2.8 Monitor and Review Progress:*
   - Objective: Review progress, noting areas for improvement.
   - Reflection: "What’s working well? What could be improved?"
   - Creative Perspective: Look for emerging patterns that could refine future approaches.

   *2.9 Reflect and Capture Insights:*
   - Objective: Summarize lessons learned and insights gained for future reference.
   - Reflection: "What new understanding has emerged from this process?"
   - Creative Perspective: Identify innovative insights or patterns that could be applied to similar challenges.

3. *Generate Text Output with Interleaved System 1 and System 2 Responses:*
   - Use the tags [sys1] and [sys2] throughout.
   - Aim for a lengthier, detailed response. Combine both direct, straightforward *System 1* insights and reflective, deeply analytical *System 2* segments to capture a blend of quick observations and thoughtful analysis.

---

### *Example Input Text:*

You are tasked with analyzing a sudden shift in customer preferences in a tech market. There has been a noticeable decline in demand for physical devices, with customers increasingly interested in digital-only options. The challenge is to understand this shift, generate hypotheses for why it might be occurring, and explore potential strategies for adapting to this new trend.

---

### *Processed Output with System 1 and System 2 Thinking:*

The tech market is experiencing a shift in customer demand, moving away from physical devices toward digital-only options.

[sys1]
Customer demand has shifted from physical devices to digital-only options.
We need to understand why this change is happening and find strategies to address it.
Key factors may include cost, convenience, and technological trends.
[end sys1]

[sys2]
**2.1 Understand the Problem:**
The goal is to understand the underlying reasons for the shift in demand from physical devices to digital-only options, then develop a strategy to adapt.

*Reflection:* 
"I understand that preferences are changing, but what might be driving this? Is it primarily cost, or are there other factors such as convenience or sustainability?"

*Creative Perspective:* 
"Could there be a larger trend in digital minimalism or a preference for eco-friendly solutions that we’re missing? What unseen motivations might explain this shift?"

**2.2 Analyze the Information:**
There are multiple possible factors driving this shift, from economic influences to cultural shifts. It’s essential to isolate each factor and understand its impact.

*Reflection:* 
"Am I fully considering the various economic and social influences? Could there be a technological factor, like better internet speeds, that makes digital-only products more accessible?"

*Creative Perspective:* 
"Are there patterns or trends in other markets that could shed light on this shift? Could this be part of a larger trend toward virtual experiences?"

**2.3 Generate Hypotheses:**
1. Customers prefer digital options due to lower costs. (Confidence: 0.8, Creative: 0.4)
2. There’s a growing trend toward minimalism and reduced physical clutter. (Confidence: 0.7, Creative: 0.7)
3. Digital products offer greater flexibility and ease of use. (Confidence: 0.6, Creative: 0.6)
4. Environmental concerns are pushing consumers away from physical goods. (Confidence: 0.6, Creative: 0.8)
5. Advances in tech make digital-only options more functional. (Confidence: 0.8, Creative: 0.5)
6. Pandemic-era remote work increased demand for digital solutions. (Confidence: 0.7, Creative: 0.6)
7. Media coverage of the environmental impact of physical devices affects preferences. (Confidence: 0.5, Creative: 0.7)
8. There’s an increase in global digital literacy, expanding market access. (Confidence: 0.6, Creative: 0.6)
9. Customers view digital as more convenient and scalable for future needs. (Confidence: 0.7, Creative: 0.5)
10. Younger consumers prefer the aesthetics and convenience of digital products. (Confidence: 0.6, Creative: 0.6)

*Reflection:* 
"Have I considered all possible influences? Are there any surprising factors that could explain this shift?"

*Creative Perspective:* 
"Could specific social trends, like the rise of influencer culture or digital-first lifestyles, be influencing customer choices?"

**2.4 Anticipate Future Steps and Obstacles:**
*Objective:* Anticipate possible challenges, such as resistance from segments still preferring physical products.

*Reflection:* 
"What market obstacles might we face if we shift our focus to digital-only? Are there sub-segments that still prioritize physical products?"

*Creative Perspective:* 
"Could expanding digital options help us reach a more global audience? Are there emerging trends that we could leverage in our strategy?"

[end sys2]

[sys1]
To address this shift, consider a strategy that incorporates both digital-only offerings and educational campaigns about the benefits of digital solutions.
Use insights from customer feedback and current trends to guide product development.
Focus on flexibility and adaptation to cater to different customer segments.
[end sys1]


Q:

AWS Fargate - fails health check while instance is up

I am a similar question to some posts, but none of the specific issues relate as far as I can tell. I will post my stack later in this post.
I have:
ALB----->Listener->target group->Fargate service->task definition
80/http           ->8080/http                   -> 8080/http

The problem is my health checks fail. When the Fargate task spins up an instance, I can go to that instance using the health check URL, and i get a 200 response.  however, any attempt to go through the load balancer results in a gateway timeout.  
$ curl -fv http://172.31.47.18:8080/healthz
*   Trying 172.31.47.18...
* TCP_NODELAY set
* Connected to 172.31.47.18 (172.31.47.18) port 8080 (#0)
> GET /healthz HTTP/1.1
> Host: 172.31.47.18:8080
> User-Agent: curl/7.54.0
> Accept: */*
> 
< HTTP/1.1 200 OK
< Transfer-Encoding: chunked
< Date: Sun, 24 Nov 2019 15:33:39 GMT
< Server: Warp/3.2.27
< 
* Connection #0 to host 172.31.47.18 left intact
OK

However, the health check never passes on the LB.

the security group used for every thing right now is wide open. I wanted to eliminate that as an issue. 
the fargate nodes are set up for public IPs. 

This has been driving me crazy for the last couple of days. I stood up an EC2 backed ECS, and everything works on EC2.  I should point out that the entire stack builds just fine in Fargate, except for not getting any traffic either from the load balancer or something.  
The error in the service events says 
service test-graph (port 8080) is unhealthy in target-group tg--test-graph due to (reason Request timed out).

Hopefully someone has an idea.
  TaskDef0:
    Type: AWS::ECS::TaskDefinition
    DependsOn: Cluster0
    Properties:
      ExecutionRoleArn: arn:aws:iam::xxxxx:role/ECS_Hasura_Execution_Role
      TaskRoleArn: arn:aws:iam::xxxxx:role/ecsTaskExecutionRole
      Family: !Ref 'ServiceName'
      Cpu: !FindInMap
                - ContainerSizeMap
                - !Ref ContainerSize
                - Cpu
      Memory: !FindInMap
                   - ContainerSizeMap
                   - !Ref ContainerSize
                   - Memory
      NetworkMode: awsvpc
      RequiresCompatibilities:
        - FARGATE
      ContainerDefinitions:
        - Name: !Ref 'ServiceName'
          Cpu: !FindInMap
                - ContainerSizeMap
                - !Ref ContainerSize
                - Cpu
          Memory: !FindInMap
                   - ContainerSizeMap
                   - !Ref ContainerSize
                   - Memory
          Image: !FindInMap
                - ServiceMap
                - !Ref ServiceProvider
                - ImageUrl
          PortMappings:
            - 
              ContainerPort: !Ref 'ContainerPort'
              HostPort: !Ref ContainerPort
              Protocol: tcp

  ALB0:
    Type: AWS::ElasticLoadBalancingV2::LoadBalancer
    DependsOn: TaskDef0
    Properties: 
      Name: !Join
              - '-'
              - - lb-
                - !Ref ServiceName
      Scheme: internet-facing
      IpAddressType: ipv4
      LoadBalancerAttributes: 
        - Key: deletion_protection.enabled
          Value: false
        - Key: idle_timeout.timeout_seconds
          Value: 60
        - Key: routing.http.drop_invalid_header_fields.enabled
          Value: false
        - Key: routing.http2.enabled
          Value: true
      SecurityGroups: 
        - sg-xxxxxx # allow HTTP/HTTPS to the load balancer
      Subnets: 
        - subnet-111111
        - subnet-222222
        - subnet-333333
      Type: application

  targetGroup0:
    Type: AWS::ElasticLoadBalancingV2::TargetGroup
    DependsOn: ALB0
    Properties: 
      Name: !Join
              - '-'
              - - tg-
                - !Ref ServiceName
      Port: !Ref TargetGroupPort
      Protocol: !Ref TargetGroupProtocol    
      TargetType: ip
      VpcId: !FindInMap
                - ServiceMap
                - !Ref ServiceProvider
                - VpcId
      # all other paraneters can be changed without interruption
      HealthCheckPort: traffic-port
      HealthCheckEnabled: !FindInMap
                - LBTGMap
                - Parameters
                - HealthCheckEnabled
      HealthCheckIntervalSeconds: !FindInMap
                - LBTGMap
                - Parameters
                - HealthCheckIntervalSeconds
      HealthCheckPath: !FindInMap
                - ServiceMap
                - !Ref ServiceProvider
                - HealthCheckPath
      HealthCheckProtocol: !FindInMap
                - ServiceMap
                - !Ref ServiceProvider
                - HealthCheckProtocol
      HealthCheckTimeoutSeconds: !FindInMap
                - LBTGMap
                - Parameters
                - HealthCheckTimeoutSeconds
      HealthyThresholdCount: !FindInMap
                - LBTGMap
                - Parameters
                - HealthyThresholdCount
      UnhealthyThresholdCount: !FindInMap
                - LBTGMap
                - Parameters
                - UnhealthyThresholdCount
      Matcher: 
        HttpCode: !FindInMap
                - ServiceMap
                - !Ref ServiceProvider
                - HealthCheckSuccessCode
      TargetGroupAttributes: 
        - Key: deregistration_delay.timeout_seconds
          Value: !FindInMap
                - LBTGMap
                - Parameters
                - DeregistrationDelay
        - Key: slow_start.duration_seconds
          Value: !FindInMap
                - LBTGMap
                - Parameters
                - SlowStart
        - Key: stickiness.enabled
          Value: !FindInMap
                - LBTGMap
                - Parameters
                - Stickiness

  Listener0:
    # This is the fixed response test listener
    Type: AWS::ElasticLoadBalancingV2::Listener
    DependsOn: ALB0
    Properties:   
      DefaultActions: 
        - Type: fixed-response      
          FixedResponseConfig: 
            ContentType: text/html
            MessageBody: <h1>Working</h1><p>The load balancer test listener is operational</p>
            StatusCode: 200
      LoadBalancerArn: !Ref ALB0
      Port: 9000
      Protocol: HTTP

  Listener1:
    # This is the port 80 listener
    Type: AWS::ElasticLoadBalancingV2::Listener
    DependsOn: ALB0
    Properties:   
      DefaultActions: 
        - Type: forward
          TargetGroupArn: !Ref targetGroup0
      LoadBalancerArn: !Ref ALB0
      Port: 80
      Protocol: HTTP

  Listener2:
    # This is the port 8080 listener
    Type: AWS::ElasticLoadBalancingV2::Listener
    DependsOn: ALB0
    Properties:   
      DefaultActions: 
        - Type: forward
          TargetGroupArn: !Ref targetGroup0
      LoadBalancerArn: !Ref ALB0
      Port: 8080
      Protocol: HTTP

  Listener3 :
    # This is the port 443 listener
    Type: AWS::ElasticLoadBalancingV2::Listener
    DependsOn: ALB0
    Properties:   
      Certificates:
        - CertificateArn: !FindInMap
                - CertificateMap
                - !Ref AWS::Region
                - CertifcateArn  
      DefaultActions: 
        - Type: forward
          TargetGroupArn: !Ref targetGroup0
      LoadBalancerArn: !Ref ALB0
      Port: 443
      Protocol: HTTPS

  Service0:
    Type: AWS::ECS::Service
    DependsOn: Listener2
    Properties:
      ServiceName: !Ref 'ServiceName'
      Cluster: !Ref Cluster0
      LaunchType: FARGATE
      DeploymentConfiguration:
        MaximumPercent: !FindInMap
                - ECSServiceMap
                - Parameters
                - MaximumPercent
        MinimumHealthyPercent: !FindInMap
                - ECSServiceMap
                - Parameters
                - MinimumHealthyPercent
      DesiredCount: !Ref 'DesiredTaskCount'
      NetworkConfiguration:
        AwsvpcConfiguration:
          AssignPublicIp: ENABLED
          SecurityGroups: # this is allow all ports and IPs
            - !FindInMap
                - SecurityGroupMap
                - !Ref AWS::Region
                - sg0
          Subnets:
            - !FindInMap
                - SubnetMap
                - !Ref AWS::Region
                - subnet0
            - !FindInMap
                - SubnetMap
                - !Ref AWS::Region
                - subnet1
            - !FindInMap
                - SubnetMap
                - !Ref AWS::Region
                - subnet2
      TaskDefinition: !Ref 'TaskDef0'
      LoadBalancers:
        - ContainerName: !Ref 'ServiceName'
          ContainerPort: !Ref 'ContainerPort'
          TargetGroupArn: !Ref 'targetGroup0'
      Tags: 
        - Key: Application
          Value: !Ref "Application"
        - Key: Customer
          Value: !Ref "Customer"
        - Key: Role
          Value: !Ref "Role"
        - Key: InternetAccessible
          Value: !Ref "InternetAccessible"
        - Key: CreationDate
          Value: !Ref "CreationDate"
        - Key: CreatedBy
          Value: !Ref "CreatedBy"

Mappings:
  ServiceMap:
    GraphQL-Ohio: 
      ImageUrl: xxxxx.dkr.ecr.us-east-2.amazonaws.com/hasura/graphql-engine
      HealthCheckPath: /healthz
      HealthCheckSuccessCode: 200
      HealthCheckProtocol: HTTP
      VpcId: vpc-xxxxx

  LBTGMap:
    Parameters:
      HealthCheckEnabled: True
      HealthCheckIntervalSeconds: 30
      HealthCheckTimeoutSeconds: 5
      HealthyThresholdCount: 5
      UnhealthyThresholdCount: 2
      DeregistrationDelay: 300
      SlowStart: 0
      Stickiness: false

  SubnetMap: # There is technical debt here to keep this up to date as subnets change
    us-east-2:
      subnet0: subnet-111111
      subnet1: subnet-222222
      subnet2: subnet-333333

  SecurityGroupMap: 
    us-east-2: 
      sg0: sg-xxxxx

A:

Ok - I figured this out.  I had my HealthCheckPort set to traffic-port.  The string literal "traffic-port", not the actual port number.  Duh.