In this step we'll learn how to deploy our newly created microservice to our ioFog tutorial environment.
Before deploying our new microservice, take a look at the current output of the Freeboard at http://localhost:10102/?load=dashboard.json
With our Docker image from the previous step in hand, it's time to publish it to a Docker Registry.
While we can use a custom registry (or the public Docker Hub), the Controller also comes with a built-in private registry that represents the local cache on the ioFog edge compute nodes.
To get a list of the container registries, we can use iofogctl get registries
iofogctl get registries
NAMESPACE
default
ID URL USERNAME PRIVATE SECURE
1 registry.hub.docker.com false true
2 from_cache false true
or the legacy Controller CLI registry list
command:
iofogctl legacy controller local-controller registry list
We should see two registries. The first is Docker Hub and the second is the built-in private registry, which we're going to use.
{
"id": 2,
"url": "from_cache",
"isPublic": true,
"isSecure": true,
"certificate": "",
"requiresCert": false,
"username": "",
"userEmail": "",
"userId": null
}
The unique ID for the built-in registry is always 2
, and always 1
for Docker hub.
The Docker image containing our microservice code is registered with our local image cache. We can spin up new copies of it using the Controller through iofogctl
.
If you spent some time looking around the folder structure, you might have noticed the file init/tutorial/config.yaml
cat init/tutorial/config.yaml
---
apiVersion: iofog.org/v2
kind: Application
metadata:
name: tutorial
spec:
microservices:
- name: sensors
agent:
name: local-agent
config: {}
images:
x86: iofog/sensors:latest
registry: remote
container:
volumes: []
ports: []
env: []
- name: rest-api
agent:
name: local-agent
config: {}
images:
x86: iofog/freeboard-api:latest
registry: remote
container:
volumes: []
ports:
- internal: 80
external: 10101
env: []
- name: freeboard
agent:
name: local-agent
config: {}
images:
x86: iofog/freeboard:latest
registry: remote
container:
volumes: []
ports:
- internal: 80
external: 10102
env: []
routes:
- name: sensor-to-api
from: sensors
to: rest-api
This yaml file has been used to describe to iofogctl
what our set of microservices (application) should look like, and how they are configured. You can find a complete description of the YAML format here, but for now let's focus on the main parts.
tutorial
.local-agent
.sensors
microservice to the rest-api
microservice.To add our new microservice, go ahead and edit this file by adding our new microservice to the list of microservices:
- name: moving-average
agent:
name: local-agent
config:
maxWindowSize: 40
images:
x86: iofog-tutorial/moving-average:v1
registry: local
container:
volumes: []
ports: []
env: []
It is very important to note that we are specifying local
as the value for images:registry
(instead of remote
for the other microservices), this instructs the ioFog Agent to use its local cache, and not Docker hub.
Let's change our routes so that our new microservice is placed between the Sensors and the REST API.
Edit the routes
section from the YAML file to the following.
routes:
- name: sensor-to-avg
from: sensors
to: moving-average
- name: avg-to-api
from: moving-average
to: rest-api
Which will effectively create the following pipeline for our data Sensor
-> moving-average
-> rest-api
Now that our config YAML file is ready and describes the new state of our application, we can use iofogctl
to deploy our application.
iofogctl deploy application -f init/tutorial/config.yaml
Verify that the application got updated as expected
iofogctl get microservices
MICROSERVICE STATUS AGENT CONFIG ROUTES VOLUMES PORTS
Sensors RUNNING local-agent {} moving-average
Rest API RUNNING local-agent {} 10101:80
Freeboard RUNNING local-agent {} 10102:80
moving-average QUEUED local-agent {} rest-api
It will take some time for the ioFog Agent to spin up the new microservice. You can monitor the status of our newly created microservice using iofogctl get microservices
.
If you don't have access to the YAML file describing your application, you can always retrieve it using iofogctl and running: iofogctl describe application APPLICATION_NAME [-o config.yaml]
Once a microservice is up and running, we will probably need to modify it later, which we can also do with the Controller.
You can either redeploy the entire application using the same steps we just did. Iofogctl is smart enough to only patch the required changes to an existing application.
But you can also directly deploy a microservice! First, let's use iofogctl
to retrieve the microservice configuration for our moving-average
microservice.
iofogctl describe microservice moving-average -o moving-average.yaml && cat moving-average.yaml
apiVersion: iofog.org/v2
kind: Microservice
metadata:
name: moving-average
namespace: default
spec:
uuid: H3cZ2LQ9hxyM6X7X6xV2q2w6mH3zp7Wc
name: moving-average
agent:
name: local-agent
config:
dockerUrl: unix:///var/run/docker.sock
diskLimit: 50
diskDirectory: /var/lib/iofog-agent/
memoryLimit: 1024
cpuLimit: 80
logLimit: 10
logDirectory: /var/log/iofog-agent/
logFileCount: 10
statusFrequency: 30
changeFrequency: 60
deviceScanFrequency: 60
bluetoothEnabled: false
watchdogEnabled: false
abstractedHardwareEnabled: false
images:
catalogId: 0
x86: iofog-tutorial/moving-average:v1
arm: ""
registry: local
config:
maxWindowSize: 40
container:
rootHostAccess: false
ports: []
volumes: []
env: []
application: tutorial
You will notice a few minor changes compared to the description we provided when we deployed the microservice as part of our application:
application
field. This is required for iofogctl to know which application the microservice is part of.Find the complete yaml description here
Now let's say we want to update the configuration of our microservice!
Go ahead and edit the newly created moving-average.yaml
file, and update the config
field (Warning: not the agent:config
, but the root config
field) to the following:
config:
maxWindowSize: 100
Then you can use iofogctl to deploy your microservice
iofogctl deploy -f moving-average.yaml
And see the result with
iofogctl get microservices
MICROSERVICE STATUS AGENT CONFIG ROUTES VOLUMES PORTS
Sensors RUNNING local-agent {} moving-average
Rest API RUNNING local-agent {} 10101:80
Freeboard RUNNING local-agent {} 10102:80
moving-average RUNNING local-agent {} rest-api
Have a look at new output of the Freeboard dashboard. This should now display the values modified by moving average and look similar to this:
The magic about microservices and ioFog is that none of those microservice is specifically designed or requires to work with the other microservice. Using ioFog, you can create smart and secure communication channels between independant microservices and easily manage a fleet of Edge devices and microservices.
Congratulations! You've now have the fundamentals of ioFog. Next, try developing Microservices on an ECN deployed on remote hosts. See this guide for deploying remotely.