fitness products and wearables are good examples of ble connected iot products. you will build an ios app using aws amplify (amplify), that reads data from an off the shelf ble device and publishes to aws iot. you will use aws cloud development kit (cdk) to create aws amplify resources that will be used in the ios app. the ios application will publish the data using mqtt from the nano to aws iot. we will have to set up the aws resources using cdk, configure amplify to use the resources created by cdk, program the arduino, and use xcode for the ios app. this cdk stack will setup resources required for configuring amplify for the ios app and additional resources to route data using aws iot actions and rules.
follow the steps below to deploy the stack (if this is the first time you are using cdk, you would need to run cdk bootstrap command prior to deploy): the values for each of these resources will be used to configure amplify support in the ios app. amazon cognito identities can be used to grant permissions to aws iot. the ios will attach the iot policy to cognito id of the authenticated user. further formation and detailed instructions on programming the arduino nano: aws-amplify-cdk-iot-ble-swift-app/docs/arduinonano.md you will learn how to use the resources created by cdk to configure amplify support for the ios application. you can also follow similar steps to integrate backend resources in your ios amplify project. you can delete the resources by changing to the cdk directory and running the command: in this blog post, i showed you how to build a ble-connected solution on aws, using aws cdk to create backend resources and using them with to configure amplify for the ios app. ashu joshi is global head, enterprise solutions in the aws proserve team.
analytics in the cloud and at the edge turn this data into information. often, the use case demands real-time access to the information as it changes. it is a much more powerful user experience for the app’s screen to receive changing data in real time and present it to the user. in this post, i highlight key components of the code that make it work. the sensor connects to the cloud using the aws iot device sdk. the data is posted to the topic sensor-view/sensor-01/sensor-update. aws iot rules allow you to subscribe to a specific topic and act on the published data. in this case, the rule forwards the sensor data to a lambda function.
in this case, you send the data to a lambda function named sensor-view-update-sensor. the following screenshot shows what this rule looks like in the aws iot core console: upon receiving the event message from the aws iot rule, the lambda function initiates a connection to the app’s aws appsync graphql api endpoint. finally, the lambda function uses the aws appsync client to execute the mutation, passing in the lambda event properties as parameters. a screen in the app connects to the aws appsync graphql endpoint and initiates a subscription. the (id: $id) parameter of the subscription allows you to subscribe to the changes for the specific sensor id. the values of the screen widget automatically update as subscription data is received. this post focused on key areas of the solution’s code. it also walks you through using aws amplify to deploy the entire solution to your aws account and mobile device.
the aws iot 1-click mobile app lets you: the aws iot 1-click mobile app is available for iphone and android mobile devices. to download the app, go to the app you will build an ios app using aws amplify (amplify), that reads data from an off the shelf ble device and publishes to aws iot. you will use in this post, i walk you through how to accomplish real-time iot data monitoring in a mobile app. for this use case, i use a temperature, aws iot device, aws iot device, aws iot mqtt android example, aws iot core, aws iot device client.
the aws mobile sdks provide mobile app developers platform-specific support for the apis of the aws iot core services, iot device communication using mqtt, and on-demand video series to learn how to get started with the basics of iot with esp32, a small module that can be connect securely to aws iot cloud services. this section describes how an app or service interacts with the aws iot device shadow service. this example assumes the app or service is interacting only, aws iot device sdk, aws-iot-device-sdk-v2, aws iot core sdk, aws iot sdk android, aws iotapi, aws iot java-sdk, aws iot python sdk, aws iot python example, aws-iot-device-sdk nodejs, aws-iot-device-sdk github.
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