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:
https://github.com/synpse-hq/metrics-nats-example-app - Sample metrics application https://github.com/synpse-hq/aws-iot-core-example - AWS IoT Core example
Technologies used
Synpse - manage devices and deploy applications to them
NATS - a lightweight message broker that can run on-prem
AWS IoT Core - message broker between all devices and AWS
Steps:
Set up AWS IoT Core
Configure rules to forward data into S3 bucket
Create AWS device/Thing for Synpse
Demo Synpse application from 3 microservices - Metrics collector, NATS broker, example Python app that forwards data to AWS IoT Core
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.
AWS IoT S3 page
Inside AWS IoT S3 page, create S3 bucket for metrics to be stored. We gonna use it later
Create Act Rule
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
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"
Get endpoint
You will need endpoint for your IoT Core. You can get it via CLI:
Or navigate via UI to "Settings":
Deploy Synpse application
We have downloaded certificates in the first step. Let's create Synpse secret with those certificates
Deploy Synpse application. Modify application yaml with your thing endpoint and messaging topic.
where synpse-aws-example.yaml
is:
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 :)
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