aws-iot-builder-tools Goto Github PK

.github

aws-greengrass-provisioner

Simplifies provisioning Greengrass Cores and building Greengrass Lambda functions

aws-iot-rules-engine-to-lambda-sample

An example project showing how to set up AWS Lambda Powertools for Typescript to help understand the behavior of the AWS IoT Rules Engine with AWS Lambda integration.

cdk-iot-sample

This is a sample project which shows how to create, deploy and start a simple Node.js IoT application, using CDK and MQTT.js. The code in this sample project was written by using the AI companionship of Amazon CodeWhisperer. The comments in the code show what Amazon CodeWhisperer was 'told' to generate.

emf-metrics-with-iot-rules

Sample showing batch ingestion of IoT device metrics into Amazon CloudWatch Metrics, using Embedded Metric Format (EMF). The ingestion happens via Basic Ingest, routed from AWS IoT Core Rules Engine in batches into Amazon CloudWatch Logs, which automatically extracts metrics from EMF into CloudWatch Metrics.

freertos-pi-pico

Code Samples for Using FreeRTOS with the Raspberry Pi Pico

ggv2-home-treadmill-example

greeneyes

greengrass-continuous-deployments

greengrass-nomad-demo

iot-avh-demos

This sample project shows how to build and deploy a custom firmware image to an iMX8m Arm Virtual Hardware (AVH) device, run an MQTT application which connects to AWS IoT, subscribes to IoT topics and publishes network and memory stats from the device, and test resilience via AWS IoT Core Device Advisor test suites.

iot-config-management-sample

Applying configuration settings to IoT devices automatically once they come online, using AWS IoT, AWS Step Functions and more.

iot-provisioning-secretfree

This solution enables you to define a process to decouple manufacturing from the provisioning process while assuring that private secrets do not have the opportunity to be exposed at any point throughout supply chain, manufacturing, and on-boarding.

iot-reference-architectures

The repo is a place to store sequence diagrams and reference architectures that we refer to in IoT presentations. It also contains code that generates some of the sequence and architecture diagrams programmatically so they can be kept up to date.

iot-workflow-management-and-execution

An example implementation of externalized workflow management and orchestration for IoT device workflows - using AWS Step Functions, Amazon DynamoDB, AWS Lambda, AWS IoT Core, AWS IoT Device Management Jobs and Rules Engine. This is implemented for TR-369 (USP) devices.

superfluid

thingpress

validation-tool-for-aws-iot-rules

This is a tool that enables developers to test and validate IoT Rules SQL Statements without the heavy lifting of having to set up the infrastructure themselves.