AWS IoT Core
Example for the AWS IoT core application on Synpse
In this tutorial, we will deploy a simple open-source application that collects metrics and send them to AWS IoT Core for further processing. All code for this blog post can be found at:
- 1.Set up AWS IoT Core
- 2.Configure rules to forward data into S3 bucket
- 3.Create AWS device/Thing for Synpse
- 4.Demo Synpse application from 3 microservices - Metrics collector, NATS broker, example Python app that forwards data to AWS IoT Core
Inside AWS IoT Core page navigate to Manage sub-page. Create a "Thing" with AWS generated certificates. Download certificates to your workstation. We will need them later.
Inside AWS IoT S3 page, create S3 bucket for metrics to be stored. We gonna use it later
Back in IoT Core page navigate to ACT subpage. We will create new Rule for our metrics. Rule creation involved multiple steps, like creating rule itself, granting access with policy and finalizing the setup.
Create policy to publish events, and attach to certificate we generated.
Policy we used is as bellow:
Attach the policy to a certificate, used by "Thing"
You will need endpoint for your IoT Core. You can get it via CLI:
aws iot describe-endpoint
Or navigate via UI to "Settings":
IoT Core Settings
We have downloaded certificates in the first step. Let's create Synpse secret with those certificates
synpse secret create aws-cert --file f0bab679b1f8b0adf9049a93c0da2241cad4f8c6dbdc95e35ce4146173f526ae-certificate.pem.crt
synpse secret create aws-key --file f0bab679b1f8b0adf9049a93c0da2241cad4f8c6dbdc95e35ce4146173f526ae-private.pem.key
synpse secret create aws-root-ca --file AmazonRootCA1.pem
Deploy Synpse application. Modify application yaml with your thing endpoint and messaging topic.
synpse deploy -f synpse-aws-example.yaml
description: AWS IoT Core Synpse example
- name: nats
- name: app
- name: aws-iot
- name: aws-cert
- name: aws-key
- name: aws-root-ca
Once running, you should see application running and data coming into AWS S3 account
At this point, you might thing "This was not as hard as you told us". We did all the steps using AWS Console UI. Github repository contains more detail steps how to achieve same result via CLI. Good luck :)