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]


Introducing 'heroku docker:release': Build & Deploy Heroku Apps with Docker

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We've recently made some big updates to our support for Docker and the feature described in this blog post has been deprecated. Learn more in the container registry and runtime dev center documentation.

When Heroku launched the Cedar container stack 4 years ago, we became one of the first companies to use Linux Containers (LXC) to create a secure, performant and scalable cloud platform. Heroku has been a leader in the containerization movement, and we’ve spent years hardening, honing and evolving our runtime container stack. This means that developers can git push apps written in their favorite language and Heroku will build containers that are deployed to a production-quality environment. With this approach, developers are set free from managing operating systems, package updates, server infrastructure and their inevitably complex interactions.

Containers are essential to making this model work, as they create firm abstractions and boundaries between an application’s code and all the dependent pieces necessary to make them run. And the benefits of containers for deploying and running apps are familiar to most developers using Heroku; freedom from having to manage down-stack components, confidence that apps will continue to run as operating system and environment dependencies change, and the ability to start, stop and scale apps quickly.

As the container ecosystem has evolved, there’s an opportunity to bring the benefits of this technology not just to running apps on the server, but also building them on the desktop. In doing so, the hope is to address the challenges of creating and managing local development environments, as installing and managing local language runtimes, frameworks and associated dependencies is still a major time-suck for developers — problems that are made worse by the need for local environments to match production so that bugs can be identified and fixed before deploying.

Today, Heroku is releasing a beta version of heroku docker:release . This new CLI functionality leverages the increasing availability of Docker on the desktop, and combines the benefits of local container development with the proven Heroku Cedar container runtime. Using Docker and heroku docker:release , developers can run apps in containers similar to the Heroku runtime and get high fidelity dev/prod parity, whether they’re developing on OS X, Linux or Windows.

The new local dev experience ships as a Toolbelt plugin. Run the following command to install:

heroku plugins:install heroku-docker

The plugin requires a working Docker installation. We recommend boot2docker for users on OS X or Windows. The rest of this section assumes you’re on OS X. You can check your installation by running docker ps .

Let’s start by grabbing the Heroku Node.js getting started sample, and creating a Dockerfile for it:

$ git clone https://github.com/heroku/node-js-getting-started.git ... $ cd node-js-getting-started $ heroku docker:init Wrote Dockerfile (node)

Your local Docker-based development environment is now initialized, and you can take a look at the Dockerfile written to the app directory. Notice that the Dockerfile derives from heroku/cedar-14 , the Docker image for Heroku’s newest runtime stack. The rest of the Dockerfile pulls in the appropriate Node.js runtime for your app and sets up the container.

You can now run the app locally (you will probably see a different IP address):

$ heroku docker:start ... web process will be available at http://192.168.59.103:3000/

Next, let’s install a new dependency for the app:

$ heroku docker:exec npm install --save --no-bin-links cool-ascii-faces

The npm install command is run inside an ephemeral Docker container that is torn down after the command completes. While npm install ran, the working directory was mounted inside the container, and node modules were installed for the app. You can verify this by running ls node_modules . Notice that no working Node or npm installation was required on your machine — these came courtesy of the Docker image created by Heroku. This also means that any node-modules with natively compiled binaries are built for Linux, and not for for the host operating system that you’re developing on.

If you want, you can also deploy the app to Heroku from out of the Docker image you just created:

$ heroku create ... $ heroku docker:release … $ heroku open

docker:release doesn’t use Heroku’s traditional Buildpack-based build system. Instead, it creates a Heroku-compatible slug from your local Docker image, and deploys it directly to Heroku. If you prefer the standard approach of git-pushing to Heroku and having production builds happen with buildpacks, then that works fine too.

For details on how to use the plugin, see the Dev Center overview article.

The plugin consists of 3 components:

The heroku/cedar:14 Docker image published in the Docker registry (this is the image that powers the Heroku Cedar-14 stack)

Docker image published in the Docker registry (this is the image that powers the Heroku Cedar-14 stack) Language specific Dockerfile templates that derive from the heroku/cedar:14 image (Node.js and Ruby currently supported, more to come)

image (Node.js and Ruby currently supported, more to come) CLI commands that invoke Docker to run apps in containers

These are the mechanics of the plugin:

heroku docker:init will try to detect what language and framework is used for your app and in what versions, and write an appropriate Dockerfile.

will try to detect what language and framework is used for your app and in what versions, and write an appropriate Dockerfile. heroku docker:exec {command} builds image from Dockerfile (if one does not already exist) and runs it in a Docker container using docker run . It also mounts the working dir so that changes made by the command are persisted on your machine.

builds image from Dockerfile (if one does not already exist) and runs it in a Docker container using . It also mounts the working dir so that changes made by the command are persisted on your machine. heroku docker:start {command} bundles your source code into a self-contained Docker image and runs Procfile commands. Changes made to the container file system while running are not reflected on your machine.

bundles your source code into a self-contained Docker image and runs Procfile commands. Changes made to the container file system while running are not reflected on your machine. heroku docker:release starts the container and extracts the /app directory into a tarball that is deployed to Heroku using the Release API. The tarball includes both the language runtime and the source code for your app.

At any point in the flow above, you can break out and run Docker commands directly. For example:

docker images to list and manage the images created by the plugin

to list and manage the images created by the plugin docker ps to list running containers

to list running containers docker exec to run additional commands in a running container, eg. docker exec -ti {image-id} bash to get shell access to a running container

When you run heroku docker:init , a Dockerfile is written to your app dir. You can modify this Dockerfile and rebuild images, for example to add binary dependencies to your container. See the Node.js guide for an example of how to bundle GraphicsMagick with a Node.js app and deploy it to Heroku. Note that you have to be careful to install extra stack components in the /app folder to get them deployed to Heroku. /app is the directory that’s mounted inside containers running on the platform.

You can also add your own language templates and we welcome contributions. Check out the plugin /platforms directory for inspiration and feel free to send pull request if you get more languages working.

The tar’ing approach from the release command is great for creating deployable slugs from scratch (i.e. not using buildpacks). If you’re currently creating slugs from scratch using OS X or Windows, using the plugin and heroku docker:release is a more dependable approach than trying to create Linux-compatible slugs from language binaries installed on those OS’s.

Finally, the Cedar-14-based Docker images created by the plugin are self-contained and fully portable. If you want, you can run them on your own servers or on other platforms that have Docker support.

See the Docker documentation on Dev Center for details.

Heroku has many years experience running containers securely and efficiently for our customers. We’re delighted that Docker is becoming a popular developer technology and for the promise this holds for bringing containers to a much greater audience.

Docker and its ecosystem is an exciting, but new, development for our industry. We are releasing this new feature as beta for adventurous users and there are still rough edges and bumps to be sanded down. As we evolve the Docker-based development workflow, we’re looking to ship more components of the Heroku platform as containers, for even better parity. We look forward to your help and feedback in extending containers to this new area.