Merge pull request #706 from jasonrandrews/new-LP

new Learning Path for Supervisor in a Docker container

content/install-guides/aws-copilot.md

@@ -0,0 +1,85 @@
+---
+additional_search_terms:
+- cloud
+- deploy
+
+
+layout: installtoolsall
+minutes_to_complete: 10
+author_primary: Jason Andrews
+multi_install: false
+multitool_install_part: false
+official_docs: https://aws.github.io/copilot-cli/
+test_images:
+- ubuntu:latest
+test_link: null
+test_maintenance: false
+test_status:
+- passed
+title: AWS Copilot CLI
+tool_install: true
+weight: 1
+---
+
+AWS Copilot CLI is an open source command line interface for running containers on AWS App Runner, Amazon Elastic Container Service (ECS), and AWS Fargate.
+
+It is available for a variety of operating systems and Linux distributions and supports the Arm architecture. 
+
+## Before you begin
+
+This article provides quick solutions to install the latest version of AWS Copilot CLI for Ubuntu on Arm and macOS.
+
+Confirm you are using an Arm computer by running:
+
+```bash { target="ubuntu:latest" }
+uname -m
+```
+
+If you are on Arm Linux the output should be:
+
+```output
+aarch64
+```
+
+If you are on macOS with Apple Silicon the output should be:
+
+```output
+arm64
+```
+
+## Download and install AWS Copilot CLI
+
+Copilot requires Docker. Refer to the [Docker](/install-guides/docker/) install guide for installation instructions. 
+
+If you are using Docker on Linux you will need to install QEMU to build container images for both the `arm64` and the `amd64` architectures.
+
+```console
+sudo apt-get install qemu-user-static
+```
+
+Docker Desktop for macOS includes the ability to build for multiple architectures, so you don't need to do anything extra.
+
+To install Copilot on Arm Linux:
+
+```console
+sudo curl -Lo /usr/local/bin/copilot https://github.com/aws/copilot-cli/releases/latest/download/copilot-linux-arm64 \
+   && sudo chmod +x /usr/local/bin/copilot \
+   && copilot --help
+```
+
+To install Copilot on macOS:
+
+```console
+curl -Lo copilot https://github.com/aws/copilot-cli/releases/latest/download/copilot-darwin && chmod +x copilot && sudo mv copilot /usr/local/bin/copilot && copilot --help
+```
+
+Verify Copilot CLI is installed by running:
+
+```console
+copilot --version
+```
+The version should be printed:
+
+```output
+copilot version: v1.33.0
+```

content/learning-paths/servers-and-cloud-computing/aws-copilot/_index.md

@@ -12,7 +12,7 @@ learning_objectives:
 
 prerequisites:
     - An Amazon Web Services (AWS) account
-    - A local computer with Docker installed
+    - A local computer with Docker, AWS CLI, and AWS Copilot CLI installed
 
 author_primary: Jason Andrews
 

content/learning-paths/servers-and-cloud-computing/aws-copilot/app.md

@@ -16,33 +16,15 @@ Graviton2 is not the default for Copilot, but read on to find out how to set the
 This guide is applicable to both Linux and macOS users.
 
 Before starting, ensure you have Docker and Copilot installed on your computer.
-For Docker installation, refer to the [Docker install guide](https://learn.arm.com/install-guides/docker/).
-
-You will also need an AWS account, which you can create at https://aws.amazon.com. (Click on **Create an AWS Account** in the top right corner. Follow the instructions to register. See the [Creating an AWS account documentation](https://docs.aws.amazon.com/accounts/latest/reference/manage-acct-creating.html) for full instructions.)
 
-Make sure to configure your access key ID and secret access key, which are used to sign programmatic requests that you make to AWS. Refer to [AWS Credentials](https://learn.arm.com/install-guides/aws_access_keys/) for a quick summary of how to run `aws configure`. The install guide also covers how to install the AWS CLI. Make a note of the AWS region you set with `aws configure` so you can see the resources created by Copilot in the AWS console.
-
-If you are using Docker on Linux you will need to install QEMU to build container images for both the `arm64` and the `amd64` architectures.
-
-```console
-sudo apt-get install qemu-user-static
-```
-
-Docker Desktop for macOS includes the ability to build for multiple architectures, so you don't need to do anything extra.
+For Docker installation, refer to the [Docker install guide](https://learn.arm.com/install-guides/docker/).
 
-To install Copilot on Arm Linux:
+For Copilot installation, refer to the [AWS Copilot CLI install guide](/install-guides/aws-copilot).
 
-```console
-sudo curl -Lo /usr/local/bin/copilot https://github.com/aws/copilot-cli/releases/latest/download/copilot-linux-arm64 \
-   && sudo chmod +x /usr/local/bin/copilot \
-   && copilot --help
-```
+You will also need an AWS account, which you can create at https://aws.amazon.com. (Click on **Create an AWS Account** in the top right corner. Follow the instructions to register. See the [Creating an AWS account documentation](https://docs.aws.amazon.com/accounts/latest/reference/manage-acct-creating.html) for full instructions.)
 
-To install Copilot on macOS:
+Make sure to configure your access key ID and secret access key, which are used to sign programmatic requests that you make to AWS. Refer to [AWS Credentials](/install-guides/aws_access_keys/) for a quick summary of how to run `aws configure`. The install guide also covers how to install the AWS CLI. Make a note of the AWS region you set with `aws configure` so you can see the resources created by Copilot in the AWS console.
 
-```console
-curl -Lo copilot https://github.com/aws/copilot-cli/releases/latest/download/copilot-darwin && chmod +x copilot && sudo mv copilot /usr/local/bin/copilot && copilot --help
-```
 
 # Create an example application
 

content/learning-paths/servers-and-cloud-computing/supervisord/_index.md

@@ -0,0 +1,37 @@
+---
+title: Access running containers using Supervisor, SSH, and Remote.It
+
+minutes_to_complete: 60
+
+who_is_this_for: This is an introductory topic for software developers who want to learn how to run multiple services in a container and access running containers using Supervisor, SSH, and Remote.It during the debug and test phases of a project.
+
+learning_objectives:
+    - Use Supervisor to run multiple services in a container
+    - Access a container running in AWS Fargate without changing the security group for debug and test
+
+prerequisites:
+    - An Arm Linux computer running Docker
+    - An AWS account
+    - A Remote.It account
+
+author_primary: Jason Andrews
+
+### Tags
+skilllevels: Introductory
+subjects: Performance and Architecture
+armips:
+    - Neoverse 
+    - Cortex-A
+operatingsystems:
+    - Linux 
+tools_software_languages:
+    - Docker
+    - Remote.It
+    - Supervisor
+
+### FIXED, DO NOT MODIFY
+# ================================================================================
+weight: 1                       # _index.md always has weight of 1 to order correctly
+layout: "learningpathall"       # All files under learning paths have this same wrapper
+learning_path_main_page: "yes"  # This should be surfaced when looking for related content. Only set for _index.md of learning path content.
+---

content/learning-paths/servers-and-cloud-computing/supervisord/_next-steps.md

@@ -0,0 +1,40 @@
+---
+# ================================================================================
+#       Edit
+# ================================================================================
+
+next_step_guidance: >
+    You may also be interested in Kubernetes on Arm.
+# 1-3 sentence recommendation outlining how the reader can generally keep learning about these topics, and a specific explanation of why the next step is being recommended.
+
+recommended_path: "/learning-paths/servers-and-cloud-computing/eks-multi-arch/"
+# Link to the next learning path being recommended.
+
+
+# further_reading links to references related to this path. Can be:
+    # Manuals for a tool / software mentioned   (type: documentation)
+    # Blog about related topics                 (type: blog)
+    # General online references                 (type: website) 
+
+further_reading:
+    - resource:
+        title: Run multiple processes in a container
+        link: https://docs.docker.com/config/containers/multi-service_container/
+        type: documentation
+    - resource:
+        title: Supervisor with Docker Lessons learned
+        link: https://advancedweb.hu/supervisor-with-docker-lessons-learned/
+        type: blog
+    - resource:
+        title: Multiple services in a Docker container with supervisord
+        link: https://dev.to/pratapkute/multiple-services-in-a-docker-container-with-supervisord-2g13
+        type: blog
+
+
+# ================================================================================
+#       FIXED, DO NOT MODIFY
+# ================================================================================
+weight: 21                  # set to always be larger than the content in this path, and one more than 'review'
+title: "Next Steps"         # Always the same
+layout: "learningpathall"   # All files under learning paths have this same wrapper
+---

content/learning-paths/servers-and-cloud-computing/supervisord/_review.md

@@ -0,0 +1,41 @@
+---
+# ================================================================================
+#       Edit
+# ================================================================================
+
+# Always 3 questions. Should try to test the reader's knowledge, and reinforce the key points you want them to remember.
+    # question:         A one sentence question
+    # answers:          The correct answers (from 2-4 answer options only). Should be surrounded by quotes.
+    # correct_answer:   An integer indicating what answer is correct (index starts from 0)
+    # explanation:      A short (1-3 sentence) explanation of why the correct answer is correct. Can add additional context if desired
+
+
+review:
+    - questions:
+        question: >
+            Is it possible to start multiple services in a container?
+        answers:
+            - "Yes"
+            - "No"
+        correct_answer: 1                   
+        explanation: >
+            You can use Supervisor, a process control system, to start multiple services in a container.
+
+    - questions:
+        question: >
+            You must open a port to be able to reach a running container using SSH.
+        answers:
+            - "True"
+            - "False"
+        correct_answer: 2                    
+        explanation: >
+            You can reach a local container using docker exec and a remote container using Remote.It. There are other services to each containers, but Remote.It is a good example of how to do it. 
+               
+
+# ================================================================================
+#       FIXED, DO NOT MODIFY
+# ================================================================================
+title: "Review"                 # Always the same title
+weight: 20                      # Set to always be larger than the content in this path
+layout: "learningpathall"       # All files under learning paths have this same wrapper
+---

content/learning-paths/servers-and-cloud-computing/supervisord/example.md

@@ -0,0 +1,120 @@
+---
+# User change
+title: "Install Supervisor, SSH, and Remote.It"
+weight: 3
+
+layout: "learningpathall"
+
+---
+
+You can update the container to install Supervisor and create a container with multiple services.
+
+The `Dockerfile` below includes some extra software for debug and test. 
+
+Here are the changes:
+- Install SSH and enable password login
+- Install and configure Remote.It
+- Add a Supervisor configuration file 
+
+Use a text editor to replace your `Dockerfile` with the new file below:
+
+```console
+FROM ubuntu:22.04
+
+RUN apt-get update && apt-get install -y curl iproute2 sudo openssh-server sudo vim apache2 supervisor procps uuid-runtime
+
+# Configure SSH for password login
+RUN mkdir -p /var/run/sshd
+RUN sed -i '/PasswordAuthentication no/c\PasswordAuthentication yes' /etc/ssh/sshd_config
+RUN sed 's@session\s*required\s*pam_loginuid.so@session optional pam_loginuid.so@g' -i /etc/pam.d/sshd
+
+# Configure Remote.It
+RUN mkdir -p /etc/remoteit
+RUN touch /etc/remoteit/registration
+RUN sh -c "$(curl -L https://downloads.remote.it/remoteit/install_agent.sh)"
+
+# Configure Supervisor
+COPY supervisord.conf /etc/supervisor/conf.d/supervisord.conf
+
+# Setup default user
+RUN useradd --create-home -s /bin/bash -m ubuntu && echo "ubuntu:ubuntu" | chpasswd && adduser ubuntu sudo
+RUN echo '%sudo ALL=(ALL) NOPASSWD:ALL' >> /etc/sudoers
+
+EXPOSE 80
+CMD ["/usr/bin/supervisord"]
+```
+
+You will also need a configuration file for Supervisor. 
+
+Use a text editor to create a file named `supervisord.conf` with the contents:
+
+```console
+[supervisord]
+user=root
+nodaemon=true
+logfile = /var/log/supervisord.log
+pidfile=/var/run/supervisord.pid
+
+[program:sshd]
+command=/usr/sbin/sshd -D
+
+[program:remoteit-agent]
+command=/usr/share/remoteit/refresh.sh
+
+[program:apache2]
+command=/usr/sbin/apache2ctl -DFOREGROUND
+```
+
+Build the container using:
+
+```console
+docker build -t supervisord-dev  .
+```
+
+Before running the container you need a registration code from Remote.It. 
+
+Log in to your account at https://app.remote.it
+
+From the dashboard click the + icon and select the Linux icon to add a new device.
+
+Copy the generated registration code by clicking the bar code symbol under COPY as shown below:
+
+![Registration code #center](remoteit-code.png)
+
+With this code you can launch the container. Substitute your registration code instead of the one shown:
+
+```console
+docker run -d -e R3_REGISTRATION_CODE=416ED829-D9D8-532C-B1FE-13548929B2A1 -p 80:80 supervisord-dev
+```
+
+Once the container starts on your local machine you can open your browser to [https://localhost](http://localhost) and see the Apache welcome screen.
+
+You will also see the device in your Remote.It dashboard. 
+
+In the dashboard, start the SSH connection by clicking the CONNECT bar as shown below:
+
+![Connect #center](connect.png)
+
+Once connected, get the values for the PUBLIC ENDPOINT
+
+![Public endpoint #center](endpoint.png)
+
+You can now SSH directly into the container. The username for the container is `ubuntu` and the password is also `ubuntu`. If desired, you can change this in the Dockerfile.
+
+Change to your endpoint values in the command below to SSH:
+
+```console
+ssh ssh://ubuntu@proxy18.rt3.io:32443
+```
+
+You are now inside the container as the `ubuntu` user.
+
+Notice the SSH port was not shared by the container. 
+
+
+
+
+
+
+
+