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Deploy the application

Once you developed and published your application to the container registry, as in the previous section, now is time to deploy your application on your device.

SPEKTRA Edge provides the Docker compose environment on your device so that you can declare your application in the standard Docker compose file format to run it on your device.

Let’s create a compose.yaml file for the application we developed in the previous section and deploy it on your device through the SPEKTRA Edge dashboard.

Private Container Registries

Please take a look at the private registry section in case you use the private container registries, such as Amazon Elastic Container Registry, Azure Container Registry, or Google Artifact Registry.

What you need

To deploy your application on your device, you need:

• The Docker compose environment on your local machine for the local verification
• An access to the SPEKTRA Edge dashboard
• A device provisioned through the SPEKTRA Edge dashboard

And also, the cuttle CLI command is necessary to complete this tutorial, which is used to access the application from the local machine for the verification purpose. However, it is not required for deploying applications on SPEKTRA Edge.

Device Provisioning

Please go through the getting started guide if you haven’t done that.

Local verification

Let’s create and verify compose.yaml file on your local machine.

compose.yaml

Here is the compose.yaml file to deploy the application we developed in the previous section.

services:
  app:
    image: spektraedge/awesome:latest
    ports:
    - 8000:8000

Let’s go over the file line-by-line.

• services

  This is the top level element of the compose file to abstract the definition of a computing resource within an application which can be scaled or replaced independently from other components.

  You can take a look at the official documentation for more detail.

• app

  This is the name of the service, which represents the service definition. We name it app here but it’s free to use different names.

• image

  image specifies the image to start the container from. image must follow the Open Container Specification, as

  [<registry>/][<project>/]<image>[:<tag>|@<digest>].

• ports

  The ports is used to define the port mappings between the host machine and the containers. This is crucial for allowing external access to service running inside containers.

  This example exposes the container application’s port 8000 to be accessible through the local machine’s port 8000.

  Please take a look at the official document for the ports attribute definition.

docker compose up

With the compose.yaml file ready on your local machine, run docker compose up command in the directory where the file locates:

$ tree .
.
└── compose.yaml

1 directory, 1 file

$ docker compose up
[+] Running 2/0
 ✔ Network sample_default  Created                                        0.0s
 ✔ Container sample-app-1  Created                                        0.0s
Attaching to app-1
app-1  |  * Serving Flask app 'hello'
app-1  |  * Debug mode: off
app-1  | WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
app-1  |  * Running on all addresses (0.0.0.0)
app-1  |  * Running on http://127.0.0.1:8000
app-1  |  * Running on http://172.20.0.2:8000
app-1  | Press CTRL+C to quit

Here you can see the application running and listening on the port 8000 on your local machine.

Point your browser to http://localhost:8000 to verify your application.

Deploy to your device

With the compose.yaml ready, let’s deploy your application on your device through the SPEKTRA Edge dashboard.

Go to the project overview page and click Deploy pod.

Select Deploy on a single device option and provide the following information.

1. Application name
2. Application description
3. Docker compose, compose.yaml file for your reference
4. Target device to deploy

Deploy on multiple devices

You can deploy applications on multiple devices on SPEKTRA Edge. Please take a look at the multiple devices page for more detail.

Then, click Deploy to deploy your application.

Congratulations!

You now deployed your application on your device through the SPEKTRA Edge dashboard.

Verify your application

You can verify your application’s health from the SPEKTRA Edge dashboard.

The application page provides the following statistics:

• Application’s overall status
• Each container’s status
• Each container’s CPU utilization
• Each container’s memory utilization
• Application’s logs

You can also restart the application by clicking the Restart option of the drop down menu right next to the application’s name:

Or you can edit the applications, e.g. compose.yaml, by clicking the Edit option of the drop down menu right next to the application’s name:

Now, let’s access your application from your local machine by utilizing the SPEKTRA Edge port-forwarding feature. Simply copy the cuttle command provided by the dashboard located under the Docker compose section:

Open the terminal on your local machine. Paste the command you just copied onto your terminal and run it to enable the port-fowarding to access your application from the local machine.

Here is the example port-forward command for your reference. It enables your application, which is listening on device’s port 8000, reachable through your local machine’s port 8000.

cuttle devices forward-port \
  projects/your-project/regions/us-west2/devices/raspberry-pi-5 \
  8000 tcp://127.0.0.1:8000

With the above port-forwarding command running, point your browser to http://localhost:8000 to access your application from your local machine.

You will get the same result you got during the local verification.

Next step

With the application deployed on your device, let’s learn how to monitor and control applications on SPEKTRA Edge.

1 -

Configure applications via configuration maps

Let’s learn how to configure applications via configuration maps on SPEKTRA Edge.

A configuration map allows you to decouple environment-specific configuration from your application images, so that your applications are easily portable.

You can map the application configuration to the particular containers under the application with the following steps:

1. Create a configuration map
2. Create an application with docker compose volumes service attribute to describe the configuration to be mounted on the container through the following two in-direction:
   1. Configuration map volume to map the configuration map to the application
   2. Host volume to mount the configuration to the host environment so that the application can mount the configuration to the particular container.

We’ll use the Nginx application and source the configuration file through the configuration map to demonstrate how to use the configuration map on SPEKTRA Edge.

What you need

To go through this page, you need the followings.

• an access to the SPEKTRA Edge dashboard
• an active project
• a device provisioned under the project

And also, the cuttle CLI command is necessary to complete this tutorial, which is used to access the Nginx application from the local machine for the verification purpose. However, it is not required for deploying applications on SPEKTRA Edge.

Application files

compose.yaml

It’s a simple Nginx application with mapping the port 8000 with the configuration directory mounted through the volumes attributes.

services:
  app:
    image: nginx:alpine
    ports:
    - 8000:8000
    volumes:
    - /isodevice/data/nginx/conf.d:/etc/nginx/conf.d

nginx.conf

Here is the Nginx configuration file, which will be mapped to the application through the SPEKTRA Edge configuration map.

It’s a simple configuration file, which make it listen on the port 8000, instead of port 80. Since we override the default configuration, we also sets the content root to the default Ngnix content directory with root directive.

server {
  listen 8000;
  root /usr/share/nginx/html;
}

Deploy the application

Let’s deploy the application with the configuration map on SPEKTRA Edge.

Here is the steps to follow:

1. Create a configuration map
2. Create the application with two new resources:
   • the configuration map volume to map the configuration map created above to the application
   • the host volume to mount the configuration to the host environment for the load balancer container to mount the configuration file to.

Let’s do it.

Create a configuration map

Let’s create a configuration map to store the Nginx configuration file on SPEKTRA Edge.

First, select the Config maps option of the Applications pull-down menu.

Then, create a configuration map by pasting the nginx.conf file content in the data key value field with the default.conf as the data key name.

Make sure you set:

• nginx-conf as the configuration map name
• default.conf as the configuration data key name

Those names are important because it’s referenced by the other object in the later steps.

Create the application

With the Nginx configuration map ready, let’s deploy the application.

Here is what we’ll do:

1. Paste the docker compose file content to the Docker Compose field
2. Create a volume config map for the Nginx configuration file mapping
3. Create a host volume to mount the above configuration map to the device

We’ll go over those points step-by-step below but first, let’s have a Deploy pod page ready by clicking the Deploy pod button on the Project overview page.

Docker compose file

Let’s paste the docker compose file to the Docker Compose field of the Deploy pod page.

Volume configuration map

The next is the volume configuration map, which maps the Nginx configuration file we created before to the application as a volume.

Here is the key points to highlight:

• Select the correct configuration map
  • projects/your-project/regions/us-west2/configMaps/nginx-conf for this example
• Specify the correct select key of the configuration map item
  • default.conf in this example, as we specified as the key value name for the Nginx configuration file when we created the configuration map.
• Use default.conf for the path name of the select key
  • This is the file name which will be shown in the container. Nginx expects this file name as the default Nginx configuration file.

Host volume

This is the last item to configure on the Deploy pod page.

It mounts the volume configuration map we create above to the host environment of the device. This file will be mounted to the Nginx load-balancer container through the docker compose file we explained before.

Again, there are a couple of things to make it right.

• the volume name should match the name of the volume configuration map we created above
  • nginx-conf in this example
• the Volume mount path should be matched to the one specified in the docker compose
  • /isodevice/data/nginx/conf.d in this example

Click to deploy

With all those configuration set, click the Deploy button on the Deploy pod page to deploy the application on your device.

With a minute or so, you should be able to see the application running on your device, as below.

Verify the application

Let’s verify the application by accessing it through the port forwarding.

Go to the application overview page by clicking the name of the app, Three tier web app in this example, on the Project overview page.

From there, copy the port forward command by clicking the Copy port forward as Cuttle command button on the application overview page.

Run the command on your local terminal window to make your application accessible from your browser.

cuttle devices forward-port \
  projects/your-project/regions/us-west2/devices/pp-quick-202410-dmphwxuzhh8nyw \
  8000 tcp://127.0.0.1:8000

Please note that the device name above will be different for your case.

Point your browser to http://localhost:8000 and you should be able to see the page below.

Next step

Congratulations on configuring the Nginx application with the configuration map on SPEKTRA Edge.

Let’s go ahead and understand how to monitor and control applications as the next step.

2 -

Deploy with private container registries

Le’s learn how to deploy applications from the private container registries.

SPEKTRA Edge supports private container registrie, sucn as Amazon Elastic Container Registry, Azure Container Registry, or Google Artifact Registry, as the application container registries.

In this document, we’ll learn how to configure the application on SPEKTRA Edge to run the container image hosted on the Azure container registry, a private container registry offered by Microsoft Azure.

What you need

Please have those ready before proceeding:

• Docker Engine and Azure CLI on your local machine
• an access to the SPEKTRA Edge dashboard
• a device provisioned under your project on SPEKTRA Edge
• an access to Azure portal and Azure Container Registry

Push to private registries

We’ll first publish the application image to the Azure container registry.

We’ll use the same application we developed in the develop section. Here is the Dockerfile and hello.py files for your reference.

# syntax=docker/dockerfile:1
FROM ubuntu:22.04

# Prepare the python environment on the image.
RUN apt-get update && apt-get install -y python3 python3-pip
RUN pip install flask==3.0.*

# Copy the Flask app to the image.
COPY hello.py /

# Run the Flask app.
ENV FLASK_APP=hello
EXPOSE 8000
CMD ["flask", "run", "--host", "0.0.0.0", "--port", "8000"]

from flask import Flask
app = Flask(__name__)

@app.route("/")
def hello():
  return "Hello World!"

Copy those two files and place those under the directory like below.

$ tree .
.
├── Dockerfile
└── hello.py

1 directory, 2 files

Under that directory, run the following docker build command to create the application image tagged with the Azure container registry and repotitory name for the publication in the following step.

docker build --tag spektraedge.azurecr.io/awesome .

Publish the image to the Azure container registry with docker push command.

docker push spektraedge.azurecr.io/awesome:latest

Once it’s pushed, go to the Azure portal and double check if the application image correctly published on Azure container registry.

Great. You’ve successfully published the application image to the private container registry.

Now, you’re ready to configure the application to pull the image from the Azure container registry. But before that, let’s talk about the image secrets next.

Image secrets

The image secrets is a special secret resource maintained by the SPEKTRA Edge platform. It’s meant to be used for storing the credentials to access the private container registries. Hence, we’ll configure the image secrets next before configuring the applications.

Let’s create one here.

Go to the Secrets page by selecting the Secrets from the Applications pull-down option from the left navigation menu.

Click Add Secret button on the Secrets page to create a new secret.

There are three mandately fields to create a secret. We’ll go over those in detail in the following sections.

1. Secret display name
2. Secret data key name
3. Secret data key value

Secret display name

This is a case-incensitive alpha-numeric secret name referenced later by the application configuration. Give it a descriptive name for the better secret management.

Secret data key name

This field should be .dockerconfigjson. This follows the Kubernetes convention.

Secret data key value

This fields contains the base64 encoded private registry credential with the following JSON format.

{
  "auths": {
    "$REGISTRY_URL": {
      "username":"$USERNAME",
      "password":"$PASSWORD"
    }
  }
}

In case of the Azure container registry, you can generate the above JSON string by the following shell script with Azure CLI

echo \
  {\"auths\":\
    {\"$(az acr show --name $REGISTRY_NAME --query loginServer --output tsv)\":\
      {\"username\":\"$(az acr credential show --name $REGISTRY_NAME --query username --output tsv)\",\
       \"password\":\"$(az acr credential show --name $REGISTRY_NAME --query passwords[0].value --output tsv)\"\
      }\
    }\
  }

where you set $REGISTRY_NAME environment variable to your Azure container registry name, e.g. spektraedge in this example.

Convert to base64

Once you have those three values ready, you paste those in the respective fields and click Convert to Base64 button of the Add secret page.

Create the image secret

Click Create to create the image secret for the Azure container registry.

Please remember the Secret Name (ID), spektraedge-acurecr-io in this example, for the later reference to deploy your application.

Deploy the application

For the application deployment, we’ll follow the standard application deployment explained in the previous section except one field, the image secrets.

On the Deploy pod page, select the image secret you created in the previous step and just click Deploy as usual.

Next steps

Congratulations on mastering the deployment with the private container registry on SPEKTRA Edge!

As a next step, let’s learn how to monitor and control applications on SPEKTRA Edge.

3 -

Deploy on multiple devices

Let’s learn how to deploy the application on multiple devices on SPEKTRA Edge.

There are two steps for this process to work:

1. Set a device label to the target devices
2. Create a pod template with selecting the label above as the target device label

With that, let’s get to work.

What you need

To deploy applications on multiple devices on SPEKTRA Edge, you need:

• an access to the SPEKTRA Edge dashboard
• devices provisioned under your project on SPEKTRA Edge

Set device labels

Let’s set the device label on multiple devices to group those together as the deployment target.

Open the Update device details page of the Device overview page by selecting the Edit details option of the Device menu.

Set the device label, task:multi-devices in this example, on the Update device detail page as a label to group multiple devices together.

Please do the same for other devices as well before moving on to the deployment step next.

Deploy with pod templates

Once you set the device labels on your taget devices, now is the time to deploy applications on all those devices in one-shot with a pod template.

The pod template is a template to apply application deployment against multiple devices, similar to the template field of the deployments manifest in Kubernetes.

Let’s create one to see it in action. We’ll use the same application we used for the single device deployment to demonstrate how easy and similar deploying applications on multiple devices.

Go to the Project overview page and click Deploy pod button.

Use the Pod template option in Deploy pod page this time and select the target devices by providing the device label, task:multi-devices in this example, in the Target device labels to deploy field, in addition to the other application information similar to one for the single device deployment.

Click Deploy to deploy it on multiple devices.

Once it’s done, you should be able to see applications all running on the target devices, five devices in this example, from the Project overview page.

Next step

Congratulations on successfully deploying the application on multiple devices in a single-shot on SPEKTRA Edge.

Let’s proceed to the monitoring applications section as the next step to the mastery of SPEKTRA Edge.

4 -

Monitor and control applications

Let’s learn how to monitor and control applications on SPEKTRA Edge.

What you need

To go through this page, you need the followings.

• an access to the SPEKTRA Edge dashboard
• an active project
• a device provisioned under the project
• an application running on the device

With these, let’s dive in managing applications on SPEKTRA Edge.

Application overview

Application overview page is the main dashboard to manage applications on SPEKTRA Edge.

To get there from the Project overview page, click the Manage pods button located in the Pods section of the Project overview page.

Click the name of the application you want to manage, counter in this example, to get to the Application overview page of the application.

Here on the Application overview page, you can do the majority of the taskes to manage applications, such as:

• observing the application’s status
• checking the application’s Docker compose file content
• monitoring the application’s resource usages, such as CPU and memory
• examining the application’s logs
• controling your application

It also offers the cuttle port forward command, which you can copy and run on your local machine to access your application through the SPEKTRA Edge port forwarding capability.

Application statuses

Here is the list of application statuses monitored on SPEKTRA Edge.

Container states

Here is the list of Container’s state, which is the composition of the application status explained above. The Containers section of the Application overview page shows the container states.

Application metrics

You can monitor the container’s resource usage on the dashboard.

Go to the Containers usage section of the Application overview page and select the type of resource you want to monitor. Click the right side of the time range section to specify the duration of the time-series to be shown on the graph.

Application logs

You can retrieve each container’s logs on the dashboard.

Specify the name of the container you want to show the logs by clicking the pull down menu of the Logs section on the Application overview page.

Click Start to retrieve the live logs of the container.

You can also download the logs by clicking the Download icon on the Logs menu bar.

Control applications

You can control applications from the dashboard.

Here is the list of operations you can perform:

• delete
• restart

Click the the vertical three-dots right next to the application’s name in the Application overview page to show the pull-down menu and select the operation you want to perform.

Next step

Congratulations!

With the understanding of the application management on SPEKTRA Edge, we hope you gained the fundamental concept of the application life cycle happens on the SPEKTRA Edge platform.

Please go ahaed next to the device management section as part of the SPEKTRA Edge mastery.