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Repository Details

SDK for connecting to AWS IoT from a device using JavaScript/Node.js

New Version Available

A new AWS IoT Device SDK is now available. It is a complete rework, built to improve reliability, performance, and security. We invite your feedback!

This SDK will no longer receive feature updates, but will receive security updates.

AWS IoT SDK for JavaScript

The aws-iot-device-sdk.js package allows developers to write JavaScript applications which access the AWS IoT Platform via MQTT or MQTT over the Secure WebSocket Protocol. It can be used in Node.js environments as well as in browser applications.

Overview

This document provides instructions on how to install and configure the AWS IoT device SDK for JavaScript, and includes examples demonstrating use of the SDK APIs.

MQTT Connection

This package is built on top of mqtt.js and provides three classes: 'device', 'thingShadow' and 'jobs'. The 'device' class wraps mqtt.js to provide a secure connection to the AWS IoT platform and expose the mqtt.js interfaces upward. It provides features to simplify handling of intermittent connections, including progressive backoff retries, automatic re-subscription upon connection, and queued offline publishing with configurable drain rate.

Collection of Metrics

Beginning with Release v2.2.0 of the SDK, AWS collects usage metrics indicating which language and version of the SDK is being used. This allows us to prioritize our resources towards addressing issues faster in SDKs that see the most and is an important data point. However, we do understand that not all customers would want to report this data by default. In that case, the sending of usage metrics can be easily disabled by set options.enableMetrics to false.

Thing Shadows

The 'thingShadow' class implements additional functionality for accessing Thing Shadows via the AWS IoT API; the thingShadow class allows devices to update, be notified of changes to, get the current state of, or delete Thing Shadows from AWS IoT. Thing Shadows allow applications and devices to synchronize their state on the AWS IoT platform. For example, a remote device can update its Thing Shadow in AWS IoT, allowing a user to view the device's last reported state via a mobile app. The user can also update the device's Thing Shadow in AWS IoT and the remote device will synchronize with the new state. The 'thingShadow' class supports multiple Thing Shadows per mqtt connection and allows pass-through of non-Thing-Shadow topics and mqtt events.

Jobs

The 'jobs' class implements functionality to interact with the AWS IoT Jobs service. The IoT Job service manages deployment of IoT fleet wide tasks such as device software/firmware deployments and updates, rotation of security certificates, device reboots, and custom device specific management tasks.

Included in this package is an example 'agent'. The agent can be used either as a stand-alone program to manage installation and maintenance of files and other running processes or it can be incorporated into a customized agent to meet specific application needs.

Installation

NOTE: AWS IoT Node.js SDK will only support Node version 4 or above.

You can check your node version by

node -v

Installing with npm:

npm install aws-iot-device-sdk

Installing from github:

git clone https://github.com/aws/aws-iot-device-sdk-js.git
cd aws-iot-device-sdk-js
npm install

Mac-Only TLS Behavior

Please note that on Mac, once a private key is used with a certificate, that certificate-key pair is imported into the Mac Keychain. All subsequent uses of that certificate will use the stored private key and ignore anything passed in programmatically.

Examples

Device Class

// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: MIT-0
var awsIot = require('aws-iot-device-sdk');

//
// Replace the values of '<YourUniqueClientIdentifier>' and '<YourCustomEndpoint>'
// with a unique client identifier and custom host endpoint provided in AWS IoT.
// NOTE: client identifiers must be unique within your AWS account; if a client attempts
// to connect with a client identifier which is already in use, the existing
// connection will be terminated.
//
var device = awsIot.device({
   keyPath: <YourPrivateKeyPath>,
  certPath: <YourCertificatePath>,
    caPath: <YourRootCACertificatePath>,
  clientId: <YourUniqueClientIdentifier>,
      host: <YourCustomEndpoint>
});

//
// Device is an instance returned by mqtt.Client(), see mqtt.js for full
// documentation.
//
device
  .on('connect', function() {
    console.log('connect');
    device.subscribe('topic_1');
    device.publish('topic_2', JSON.stringify({ test_data: 1}));
  });

device
  .on('message', function(topic, payload) {
    console.log('message', topic, payload.toString());
  });

Thing Shadow Class

// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: MIT-0
var awsIot = require('aws-iot-device-sdk');

//
// Replace the values of '<YourUniqueClientIdentifier>' and '<YourCustomEndpoint>'
// with a unique client identifier and custom host endpoint provided in AWS IoT cloud
// NOTE: client identifiers must be unique within your AWS account; if a client attempts
// to connect with a client identifier which is already in use, the existing
// connection will be terminated.
//
var thingShadows = awsIot.thingShadow({
   keyPath: <YourPrivateKeyPath>,
  certPath: <YourCertificatePath>,
    caPath: <YourRootCACertificatePath>,
  clientId: <YourUniqueClientIdentifier>,
      host: <YourCustomEndpoint>
});

//
// Client token value returned from thingShadows.update() operation
//
var clientTokenUpdate;

//
// Simulated device values
//
var rval = 187;
var gval = 114;
var bval = 222;

thingShadows.on('connect', function() {
//
// After connecting to the AWS IoT platform, register interest in the
// Thing Shadow named 'RGBLedLamp'.
//
    thingShadows.register( 'RGBLedLamp', {}, function() {

// Once registration is complete, update the Thing Shadow named
// 'RGBLedLamp' with the latest device state and save the clientToken
// so that we can correlate it with status or timeout events.
//
// Thing shadow state
//
       var rgbLedLampState = {"state":{"desired":{"red":rval,"green":gval,"blue":bval}}};

       clientTokenUpdate = thingShadows.update('RGBLedLamp', rgbLedLampState  );
//
// The update method returns a clientToken; if non-null, this value will
// be sent in a 'status' event when the operation completes, allowing you
// to know whether or not the update was successful.  If the update method
// returns null, it's because another operation is currently in progress and
// you'll need to wait until it completes (or times out) before updating the
// shadow.
//
       if (clientTokenUpdate === null)
       {
          console.log('update shadow failed, operation still in progress');
       }
    });
});
thingShadows.on('status',
    function(thingName, stat, clientToken, stateObject) {
       console.log('received '+stat+' on '+thingName+': '+
                   JSON.stringify(stateObject));
//
// These events report the status of update(), get(), and delete()
// calls.  The clientToken value associated with the event will have
// the same value which was returned in an earlier call to get(),
// update(), or delete().  Use status events to keep track of the
// status of shadow operations.
//
    });

thingShadows.on('delta',
    function(thingName, stateObject) {
       console.log('received delta on '+thingName+': '+
                   JSON.stringify(stateObject));
    });

thingShadows.on('timeout',
    function(thingName, clientToken) {
       console.log('received timeout on '+thingName+
                   ' with token: '+ clientToken);
//
// In the event that a shadow operation times out, you'll receive
// one of these events.  The clientToken value associated with the
// event will have the same value which was returned in an earlier
// call to get(), update(), or delete().
//
    });

Jobs Class

// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: MIT-0
var awsIot = require('aws-iot-device-sdk');

//
// Replace the values of '<YourUniqueClientIdentifier>' and '<YourCustomEndpoint>'
// with a unique client identifier and custom host endpoint provided in AWS IoT cloud
// NOTE: client identifiers must be unique within your AWS account; if a client attempts
// to connect with a client identifier which is already in use, the existing
// connection will be terminated.
//
var jobs = awsIot.jobs({
   keyPath: <YourPrivateKeyPath>,
  certPath: <YourCertificatePath>,
    caPath: <YourRootCACertificatePath>,
  clientId: <YourUniqueClientIdentifier>,
      host: <YourCustomEndpoint>
});

//
// Jobs is built on top of awsIot.device and inherits all of the same functionality.
//
jobs
  .on('connect', function() {
    console.log('connect');
    device.subscribe('topic_1');
    device.publish('topic_2', JSON.stringify({ test_data: 1}));
    });

jobs
  .on('message', function(topic, payload) {
    console.log('message', topic, payload.toString());
  });

//
// To subscribe to job execution events call the subscribeToJobs method which takes
// a callback that will be invoked when a job execution is available or an error
// occurs. The job object passed to the callback contains information about the job
// execution and methods for updating the job execution status. Details covered
// in the API documentation below.
//
jobs.subscribeToJobs(thingName, function(err, job) {
   if (isUndefined(err)) {
      console.log('default job handler invoked, jobId: ' + job.id.toString());
      console.log('job document: ' + job.document);
   }
   else {
      console.error(err);
   }
});

jobs.subscribeToJobs(thingName, 'customJob', function(err, job) {
   if (isUndefined(err)) {
      console.log('customJob operation handler invoked, jobId: ' + job.id.toString());
      console.log('job document: ' + job.document);
   }
   else {
      console.error(err);
   }
});

//
// After calling subscribeToJobs for each operation on a particular thing call
// startJobNotifications to cause any existing queued job executions for the given
// thing to be published to the appropriate subscribeToJobs handler. Only needs
// to be called once per thing.
//
jobs.startJobNotifications(thingName, function(err) {
   if (isUndefined(err)) {
      console.log('job notifications initiated for thing: ' + thingName);
   }
   else {
      console.error(err);
   }
});

API Documentation


awsIot.device(options)

Returns a wrapper for the mqtt.Client() class, configured for a TLS connection with the AWS IoT platform and with arguments as specified in options. The AWSIoT-specific arguments are as follows:

  • host: the AWS IoT endpoint you will use to connect
  • clientId: the client ID you will use to connect to AWS IoT
  • certPath: path of the client certificate file
  • keyPath: path of the private key file associated with the client certificate
  • caPath: path of your CA certificate file
  • clientCert: same as certPath, but can also accept a buffer containing client certificate data
  • privateKey: same as keyPath, but can also accept a buffer containing private key data
  • caCert: same as caPath, but can also accept a buffer containing CA certificate data
  • autoResubscribe: set to 'true' to automatically re-subscribe to topics after reconnection (default 'true')
  • offlineQueueing: set to 'true' to automatically queue published messages while offline (default 'true')
  • offlineQueueMaxSize: enforce a maximum size for the offline message queue (default 0, e.g. no maximum)
  • offlineQueueDropBehavior: set to 'oldest' or 'newest' to define drop behavior on a full queue when offlineQueueMaxSize > 0
  • drainTimeMs: the minimum time in milliseconds between publishes when draining after reconnection (default 250)
  • baseReconnectTimeMs: the base reconnection time in milliseconds (default 1000)
  • maximumReconnectTimeMs: the maximum reconnection time in milliseconds (default 128000)
  • minimumConnectionTimeMs: the minimum time in milliseconds that a connection must be maintained in order to be considered stable (default 20000)
  • protocol: the connection type, either 'mqtts' (default), 'wss' (WebSocket/TLS), or 'wss-custom-auth' (WebSocket/TLS with custom authentication). Note that when set to 'wss', values must be provided for the Access Key ID and Secret Key in either the following options or in environment variables as specified in WebSocket Configuration. When set to 'wss-custom-auth', valid headers must be provided as specified in Custom Auth
  • websocketOptions: if protocol is set to 'wss', you can use this parameter to pass additional options to the underlying WebSocket object; these options are documented here.
  • filename: used to load credentials from the file different than the default location when protocol is set to 'wss'. Default value is '~/.aws/credentials'
  • profile: used to specify which credential profile to be used when protocol is set to 'wss'. Default value is 'default'
  • accessKeyId: used to specify the Access Key ID when protocol is set to 'wss'. Overrides the environment variable AWS_ACCESS_KEY_ID and AWS_ACCESS_KEY_ID from filename if set.
  • secretKey: used to specify the Secret Key when protocol is set to 'wss'. Overrides the environment variable AWS_SECRET_ACCESS_KEYand AWS_SECRET_ACCESS_KEY from filename if set.
  • sessionToken: (required when authenticating via Cognito, optional otherwise) used to specify the Session Token when protocol is set to 'wss'. Overrides the environment variable AWS_SESSION_TOKEN if set.
  • region: used to specify AWS account region (e.g. 'us-east-1') when protocol is set to wss. If undefined, a value is derived from host.
  • customAuthHeaders: used to specify your custom authorization headers when protocol is set to 'wss-custom-auth'. The fields 'X-Amz-CustomAuthorizer-Name', 'X-Amz-CustomAuthorizer-Signature', and the field for your token name are required.
  • servername: used for SNI. If undefined, a value is derived from host.
  • port: used to specify which port to connect to. If undefined, 443 or 8883 will be chosen depending on protocol.
  • customAuthQueryString: used to specify the token credentials in a query string for custom authorization when protocol is set to wss-custom-auth. More info can be found here.
  • keepalive: used to specify the time interval for each ping request. Default is set to 300 seconds to connect to AWS IoT.
  • enableMetrics: used to report SDK version usage metrics. It is set to true by default. To disable metrics collection, set value to false.
  • debug: set to 'true' for verbose logging (default 'false').

All certificates and keys must be in PEM format.

options also contains arguments specific to mqtt. See [the mqtt client documentation] (https://github.com/mqttjs/MQTT.js/blob/master/README.md#client) for details of these arguments. Note, AWS IoT doesn't support retained messages; setting retain flag to 'true' for message publishing, including Last Will and Testament messages, will result in connection termination. For AWS IoT protocol specifics, please visit here.

Supports all events emitted by the mqtt.Client() class.

awsIot.device#updateWebSocketCredentials(accessKeyId, secretKey, sessionToken, expiration)

Update the credentials set used to authenticate via WebSocket/SigV4. This method is designed to be invoked during the callback of the getCredentialsForIdentity method in the AWS SDK for JavaScript.

  • accessKeyId: the latest Access Key to use when connecting via WebSocket/SigV4
  • secretKey: the latest Secret Key to use when connecting via WebSocket/SigV4
  • sessionToken: the latest Session Token to use when connecting via WebSocket/SigV4
  • expiration: the time this credentials set will expire

awsIot.thingShadow(deviceOptions, thingShadowOptions)

The thingShadow class wraps an instance of the device class with additional functionality to operate on Thing Shadows via the AWS IoT API. The arguments in deviceOptions include all those in the device class. thingShadowOptions has the addition of the following arguments specific to the thingShadow class:

  • operationTimeout: the timeout for thing operations (default 10 seconds)

Supports all events emitted by the mqtt.Client() class; however, the semantics for the message event are slightly different and additional events are available as described below:

Event 'message'

function(topic, message) {}

Emitted when a message is received on a topic not related to any Thing Shadows:

  • topic topic of the received packet
  • message payload of the received packet

Event 'status'

function(thingName, stat, clientToken, stateObject) {}

Emitted when an operation update|get|delete completes.

  • thingName name of the Thing Shadow for which the operation has completed
  • stat status of the operation accepted|rejected
  • clientToken the operation's clientToken
  • stateObject the stateObject returned for the operation

Applications can use clientToken values to correlate status events with the operations that they are associated with by saving the clientTokens returned from each operation.

Event 'delta'

function(thingName, stateObject) {}

Emitted when a delta has been received for a registered Thing Shadow.

  • thingName name of the Thing Shadow that has received a delta
  • stateObject the stateObject returned for the operation

Event 'foreignStateChange'

function(thingName, operation, stateObject) {}

Emitted when a different client's update or delete operation is accepted on the shadow.

  • thingName name of the Thing Shadow for which the operation has completed
  • operation operation performed by the foreign client update|delete
  • stateObject the stateObject returned for the operation

This event allows an application to be aware of successful update or delete operations performed by different clients.

Event 'timeout'

function(thingName, clientToken) {}

Emitted when an operation update|get|delete has timed out.

  • thingName name of the Thing Shadow that has received a timeout
  • clientToken the operation's clientToken

Applications can use clientToken values to correlate timeout events with the operations that they are associated with by saving the clientTokens returned from each operation.


awsIot.thingShadow#register(thingName, [options], [callback] )

Register interest in the Thing Shadow named thingName. The thingShadow class will subscribe to any applicable topics, and will fire events for the Thing Shadow until awsIot.thingShadow#unregister() is called with thingName. options can contain the following arguments to modify how this Thing Shadow is processed:

  • ignoreDeltas: set to true to not subscribe to the delta sub-topic for this Thing Shadow; used in cases where the application is not interested in changes (e.g. update only.) (default false)
  • persistentSubscribe: set to false to unsubscribe from all operation sub-topics while not performing an operation (default true)
  • discardStale: set to false to allow receiving messages with old version numbers (default true)
  • enableVersioning: set to true to send version numbers with shadow updates (default true)

The persistentSubscribe argument allows an application to get faster operation responses at the expense of potentially receiving more irrelevant response traffic (i.e., response traffic for other clients who have registered interest in the same Thing Shadow). When persistentSubscribe is set to false, operation sub-topics are only subscribed to during the scope of that operation; note that in this mode, update, get, and delete operations will be much slower; however, the application will be less likely to receive irrelevant response traffic.

The discardStale argument allows applications to receive messages which have obsolete version numbers. This can happen when messages are received out-of-order; applications which set this argument to false should use other methods to determine how to treat the data (e.g. use a time stamp property to know how old/stale it is).

If enableVersioning is set to true, version numbers will be sent with each operation. AWS IoT maintains version numbers for each shadow, and will reject operations which contain the incorrect version; in applications where multiple clients update the same shadow, clients can use versioning to avoid overwriting each other's changes.

If the callback parameter is provided, it will be invoked after registration is complete (i.e., when subscription ACKs have been received for all shadow topics). Applications should wait until shadow registration is complete before performing update/get/delete operations.


awsIot.thingShadow#unregister(thingName)

Unregister interest in the Thing Shadow named thingName. The thingShadow class will unsubscribe from all applicable topics and no more events will be fired for thingName.


awsIot.thingShadow#update(thingName, stateObject)

Update the Thing Shadow named thingName with the state specified in the JavaScript object stateObject. thingName must have been previously registered using awsIot.thingShadow#register(). The thingShadow class will subscribe to all applicable topics and publish stateObject on the update sub-topic.

This function returns a clientToken, which is a unique value associated with the update operation. When a 'status' or 'timeout' event is emitted, the clientToken will be supplied as one of the parameters, allowing the application to keep track of the status of each operation. The caller may create their own clientToken value; if stateObject contains a clientToken property, that will be used rather than the internally generated value. Note that it should be of atomic type (i.e. numeric or string). This function returns 'null' if an operation is already in progress.


awsIot.thingShadow#get(thingName, [clientToken])

Get the current state of the Thing Shadow named thingName, which must have been previously registered using awsIot.thingShadow#register(). The thingShadow class will subscribe to all applicable topics and publish on the get sub-topic.

This function returns a clientToken, which is a unique value associated with the get operation. When a 'status or 'timeout' event is emitted, the clientToken will be supplied as one of the parameters, allowing the application to keep track of the status of each operation. The caller may supply their own clientToken value (optional); if supplied, the value of clientToken will be used rather than the internally generated value. Note that this value should be of atomic type (i.e. numeric or string). This function returns 'null' if an operation is already in progress.


awsIot.thingShadow#delete(thingName, [clientToken])

Delete the Thing Shadow named thingName, which must have been previously registered using awsIot.thingShadow#register(). The thingShadow class will subscribe to all applicable topics and publish on the delete sub-topic.

This function returns a clientToken, which is a unique value associated with the delete operation. When a 'status' or 'timeout' event is emitted, the clientToken will be supplied as one of the parameters, allowing the application to keep track of the status of each operation. The caller may supply their own clientToken value (optional); if supplied, the value of clientToken will be used rather than the internally generated value. Note that this value should be of atomic type (i.e. numeric or string). This function returns 'null' if an operation is already in progress.


awsIot.thingShadow#publish(topic, message, [options], [callback])

Identical to the mqtt.Client#publish() method, with the restriction that the topic may not represent a Thing Shadow. This method allows the user to publish messages to topics on the same connection used to access Thing Shadows.


awsIot.thingShadow#subscribe(topic, [options], [callback])

Identical to the mqtt.Client#subscribe() method, with the restriction that the topic may not represent a Thing Shadow. This method allows the user to subscribe to messages from topics on the same connection used to access Thing Shadows.


awsIot.thingShadow#unsubscribe(topic, [callback])

Identical to the mqtt.Client#unsubscribe() method, with the restriction that the topic may not represent a Thing Shadow. This method allows the user to unsubscribe from topics on the same used to access Thing Shadows.


awsIot.thingShadow#end([force], [callback])

Invokes the mqtt.Client#end() method on the MQTT connection owned by the thingShadow class. The force and callback parameters are optional and identical in function to the parameters in the mqtt.Client#end() method.


awsIot.jobs(deviceOptions)

The jobs class wraps an instance of the device class with additional functionality to handle job execution management through the AWS IoT Jobs platform. Arguments in deviceOptions are the same as those in the device class and the jobs class supports all of the same events and functions as the device class.

The jobs class also supports the following methods:


awsIot.jobs#subscribeToJobs(thingName, [operationName], callback)

Subscribes to job execution notifications for the thing named thingName. If operationName is specified then the callback will only be called when a job ready for execution contains a property called operation in its job document with a value matching operationName. If operationName is omitted then the callback will be called for every job ready for execution that does not match another subscribeToJobs subscription.

  • thingName name of the Thing to receive job execution notifications
  • operationName optionally filter job execution notifications to jobs with a value for the operation property that matches operationName
  • callback - function (err, job) callback for when a job execution is ready for processing or an error occurs - err a subscription error or an error that occurs when client is disconnecting - job an object that contains job execution information and functions for updating job execution status.

awsIot.jobs#unsubscribeFromJobs(thingName, [operationName], callback)

Unsubscribes from job execution notifications for the thing named thingName having operations with a value of the given operationName. If operationName is omitted then the default handler for the thing with the given name is unsubscribed.

  • thingName name of the Thing to cancel job execution notifications for
  • operationName optional name of previously subscribed operation names
  • callback - function (err) callback for when the unsubscribe operation completes

awsIot.jobs#startJobNotifications(thingName, [callback])

Causes any existing queued job executions for the given thing to be published to the appropriate subscribeToJobs handler. Only needs to be called once per thing.

  • thingName name of the Thing to cancel job execution notifications for
  • callback - function (err) callback for when the startJobNotifications operation completes

job

Object that contains job execution information and functions for updating job execution status.


job.document

The JSON document describing details of the job to be executed eg.

{
    "operation": "install",
    "otherProperty": "value",
    ...
}

job.id

Returns the job id.


job.operation

Returns the job operation from the job document. Eg. 'install', 'reboot', etc.


job.status

Returns the current job status according to AWS Orchestra.

{
    "status":"IN_PROGRESS|QUEUED",
    "statusDetails": {
        "progress":"50%"
    }
}

job.inProgress([statusDetails],[callback])

Update the status of the job execution to be IN_PROGRESS for the thing associated with the job.

  • statusDetails optional document describing the status details of the in progress job e.g.
{
    "string": "string",
    "progress": "50%"
}
  • callback - function(err) optional callback for when the operation completes, err is null if no error occurred

job.failed([statusDetails],[callback])

Update the status of the job execution to be FAILED for the thing associated with the job.

  • statusDetails optional document describing the status details of the in progress job e.g.
{
    "string": "string",
    "progress": "0%"
}
  • callback - function(err) optional callback for when the operation completes, err is null if no error occurred

job.succeeded([statusDetails],[callback])

Update the status of the job execution to be SUCCESS for the thing associated with the job.

  • statusDetails optional document describing the status details of the in progress job e.g.
{
    "string": "string",
    "progress": "100%"
}
  • callback - function(err) optional callback for when the operation completes, err is null if no error occurred

Connection Types

This SDK supports three types of connections to the AWS IoT platform:

  • MQTT over TLS with mutual certificate authentication using port 8883
  • MQTT over WebSocket/TLS with SigV4 authentication using port 443
  • MQTT over WebSocket/TLS using a custom authorization function to authenticate

The default connection type is MQTT over TLS with mutual certificate authentication; to configure a WebSocket/TLS connection, set the protocol option to wss when instantiating the awsIot.device() or awsIot.thingShadow() classes. To use custom auth, set the protocol option to wss-custom-auth.

Custom Authorization Configuration

To use custom authorization, you must first set up an authorizer function in Lambda and register it with IoT. Once you do, you will be able to authenticate using this function. There are two ways to use custom auth:

  • set the customAuthHeaders option to your headers object when instantiating the awsIotDevice() or awsIot.thingShadow() classes. The headers object is an object containing the header name and values as key-value pairs:
    {
        'X-Amz-CustomAuthorizer-Name': 'TestAuthorizer',
        'X-Amz-CustomAuthorizer-Signature': 'signature',
        'TestAuthorizerToken': 'token'
    }
  • set the customAuthQueryString option to your headers object when instantiating the awsIotDevice() class. The query string is a string containing the values as key-value pairs:
    '?X-Amz-CustomAuthorizer-Name=TestAuthorizer&X-Amz-CustomAuthorizer-Signature=signature&TestAuthorizerToken=token'

Example Programs

The 'examples' directory contains several programs which demonstrate usage of the AWS IoT APIs:

  • device-example.js: demonstrate simple MQTT publish and subscribe operations.

  • echo-example.js: test Thing Shadow operation by echoing all delta state updates to the update topic; used in conjunction with the AWS IoT Console to verify connectivity with the AWS IoT platform.

  • thing-example.js: use a Thing Shadow to automatically synchronize state between a simulated device and a control application.

  • thing-passthrough-example.js: demonstrate use of a Thing Shadow with pasthrough of standard MQTT publish and subscribe messages.

  • temperature-control/temperature-control.js: an interactive device simulation which uses Thing Shadows.

  • jobs-example.js: receive example job execution messages and update job execution status.

  • jobs-agent.js: example agent to handle standard operations such as reboot, report system status, and shutdown. It also handles installation of files including but not limited to configuration files, program updates and security certificates. It also can install and launch other programs and manage their executions (start, stop and restart).

The example programs use command line parameters to set options. To see the available options, run the program and specify the '-h' option as follows:

node examples/<EXAMPLE-PROGRAM> -h

NOTE: You have to use the certificate created in the same region as your host end point. You will also need to use unique custom endpoint with '-H' command line option when connect examples to IoT cloud.

WebSocket Configuration

The example programs can be configured to use a WebSocket/TLS connection to the AWS IoT platform by adding '--protocol=wss' to the command line to override the default setting of 'mqtts'.

  -P, --protocol=PROTOCOL          connect using PROTOCOL (mqtts|wss)

When using a WebSocket/TLS connection, you have the following options to set credentials.

Export variables to system environment

export AWS_ACCESS_KEY_ID=[a valid AWS access key ID]
export AWS_SECRET_ACCESS_KEY=[a valid AWS secret access key]

Load IAM credentials from shared credential file

The default shared credential file is located in ~/.aws/credentials for Linux users and %UserProfile%\.aws\credentials for Windows users. This could be configured using AWS CLI visit the AWS CLI home page. Alternatively, you could provide credential file in different path or another profile by specifying in the awsIot.device(options) .

The values of AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY must contain valid AWS Identity and Access Management (IAM) credentials. For more information about AWS IAM, visit the AWS IAM home page.

Certificate Configuration

When not configured to use a WebSocket/TLS connection, the example programs require a client certificate and private key (created using either the AWS IoT Console or the AWS IoT CLI) in order to authenticate with AWS IoT. Each example program uses command line options to specify the names and/or locations of certificates as follows:

Specify a directory containing default-named certificates

  -f, --certificate-dir=DIR        look in DIR for certificates

The --certificate-dir (-f) option will read all certificate and key files from the directory specified. Default certificate/key file names are as follows:

Specify certificate names and locations individually

  -k, --private-key=FILE           use FILE as private key
  -c, --client-certificate=FILE    use FILE as client certificate
  -a, --ca-certificate=FILE        use FILE as CA certificate

The '-f' (certificate directory) option can be combined with these so that you don't have to specify absolute pathnames for each file.

Use a configuration file

The AWS IoT Console can generate JSON configuration data specifying the parameters required to connect a device to the AWS IoT Platform. The JSON configuration data includes pathnames to certificates, the hostname and port number, etc... The command line option '--configuration-file (-F)' is used when reading parameters from a configuration file.

  -F, --configuration-file=FILE    use FILE (JSON format) for configuration

The configuration file is in JSON format, and may contain the following properties:

  • host - the host name to connect to
  • port - the port number to use when connecting to the host (8883 for AWS IoT with client certificate)
  • clientId - the client ID to use when connecting
  • privateKey - file containing the private key
  • clientCert - file containing the client certificate
  • caCert - file containing the CA certificate
  • thingName - thing name to use
Tips for using JSON configuration files
  • The '-f' (certificate directory) and '-F' (configuration file) options can be combined so that you don't have to use absolute pathnames in the configuration file.
  • When using a configuration file to run any of the example programs other than echo-example.js, you must specify different client IDs for each process using the '-i' command line option.

device-example.js

device-example.js is run as two processes which communicate with one another via the AWS IoT platform using MQTT publish and subscribe. The command line option '--test-mode (-t)' is used to set which role each process performs. It's easiest to run each process in its own terminal window so that you can see the output generated by each. Note that in the following examples, all certificates are located in the ~/certs directory and have the default names as specified in the Certificate Configuration section.

Terminal Window 1

node examples/device-example.js -f ~/certs --test-mode=1 -H <PREFIX>.iot.<REGION>.amazonaws.com

Terminal Window 2

node examples/device-example.js -f ~/certs --test-mode=2 -H <PREFIX>.iot.<REGION>.amazonaws.com

thing-example.js

Similar to device-example.js, thing-example.js is also run as two processes which communicate with one another via the AWS IoT platform. thing-example.js uses a Thing Shadow to synchronize state between the two processes, and the command line option '--test-mode (-t)' is used to set which role each process performs. As with device-example.js, it's best to run each process in its own terminal window or on separate hosts. In this example, the example programs are configured to use WebSocket/TLS connections to the AWS IoT platform as specified in the WebSocket Configuration.

Terminal Window 1

node examples/thing-example.js -P=wss --test-mode=1 -H <PREFIX>.iot.<REGION>.amazonaws.com

Terminal Window 2

node examples/thing-example.js -P=wss --test-mode=2 -H <PREFIX>.iot.<REGION>.amazonaws.com

thing-passthrough-example.js

Similar to thing-example.js, thing-passthrough-example.js is also run as two processes which communicate with one another via the AWS IoT platform. thing-passthrough-example.js uses a Thing Shadow to synchronize state from one process to another, and uses MQTT publish/subscribe to send information in the other direction. The command line option '--test-mode (-t)' is used to set which role each process performs. As with thing-example.js, it's best to run each process in its own terminal window. Note that in the following examples, all certificates are located in the ~/certs directory and have the default names as specified in the Certificate Configuration section.

Terminal Window 1

node examples/thing-passthrough-example.js -f ~/certs --test-mode=1 -H <PREFIX>.iot.<REGION>.amazonaws.com

Terminal Window 2

node examples/thing-passthrough-example.js -f ~/certs --test-mode=2 -H <PREFIX>.iot.<REGION>.amazonaws.com

echo-example.js

echo-example.js is used in conjunction with the AWS IoT Console to verify connectivity with the AWS IoT platform and to perform interactive observation of Thing Shadow operation. In the following example, the program is run using the configuration file '../config.json', and the certificates are located in the '~/certs' directory. Here, the '-f' (certificate directory) and '-F' (configuration file) options are combined so that the configuration file doesn't need to contain absolute pathnames.

node examples/echo-example.js -F ../config.json -f ~/certs --thing-name testThing1

temperature-control.js

temperature-control.js is an interactive simulation which demonstrates how Thing Shadows can be used to easily synchronize applications and internet-connected devices.

Like thing-example.js, temperature-control.js runs in two separate terminal windows and is configured via command-line options; in the following example, all certificates are located in the ~/certs directory and have the default names as specified in the Certificate Configuration section. The process running with '--test-mode=2' simulates an internet-connected temperature control device, and the process running with '--test-mode=1' simulates a mobile application which is monitoring/controlling it. The processes may be run on different hosts if desired.

Installing Dependencies

temperature-control.js uses the blessed.js and blessed-contrib.js libraries to provide an interactive terminal interface; it looks best on an 80x25 terminal with a black background and white or green text and requires UTF-8 character encoding. You'll need to install these libraries in the examples/temperature-control directory as follows:

cd examples/temperature-control
npm install

Running the Simulation - Terminal Window 1

node examples/temperature-control/temperature-control.js -f ~/certs --test-mode=1 -H <PREFIX>.iot.<REGION>.amazonaws.com

temperature-control.js, 'mobile application' mode

Running the Simulation - Terminal Window 2

node examples/temperature-control/temperature-control.js -f ~/certs --test-mode=2 -H <PREFIX>.iot.<REGION>.amazonaws.com

temperature-control.js, 'device' mode

Using the simulation

The simulated temperature control device has two controls; Setpoint and Status. Status controls whether or not the device is active, and Setpoint controls the interior temperature the device will attempt to achieve. In addition, the device reports the current interior and exterior temperatures as well as its operating state (heating, cooling, or stopped).

Two Thing Shadows are used to connect the simulated device and mobile application; one contains the controls and the other contains the measured temperatures and operating state. Both processes can update the controls, but only the device can update the measured temperatures and the operating state.

Controlling the simulation is done using the up, down, left, right, and Enter keys as follows:

  • up increase the Setpoint
  • down decrease the Setpoint
  • left move left on the menu bar
  • right move right on the menu bar
  • Enter select the current menu option
Operating State

The operating state of the device is indicated by the color of the Interior temperature field as follows:

  • Red: heating
  • Cyan: cooling
  • White: stopped

The following example shows the temperature control simulation in 'device' mode while the operating state is 'heating'.

temperature-control.js, 'device' mode, 'heating' operating state

Log

The log window displays events of interest, e.g. network connectivity, Status toggles, re-synchronization with the Thing Shadow, etc...

Menu Options
  • Mode: Toggle the device Status. Status can be controlled from both the simulated device and the mobile application.
  • Network: Toggle the network connectivity of the device or mobile application; this can be used to observe how both sides re-synchronize when connectivity is restored.

In this example, the mobile application is disconnected from the network. Although it has requested that the Setpoint be lowered to 58 degrees, the command can't be sent to the device as there is no network connectivity, so the operating state still shows as 'stopped'. When the mobile application is reconnected to the network, it will attempt to update the Thing Shadow for the device's controls; if no control changes have been made on the device side during the disconnection period, the device will synchronize to the mobile application's requested state; otherwise, the mobile application will re- synchronize to the device's current state.

temperature-control.js, 'mobile application' mode, network disconnected

Exiting the Simulation

The simulation can be exited at any time by pressing q, Ctrl+c, or by selecting 'exit' on the menu bar.

jobs-example.js

jobs-example.js, like the echo-example.js can receive messages via the AWS IoT Console to verify connectivity with the AWS IoT platform. But it can also receive and process job executions initiated through the AWS IoT device jobs management platform. See the AWS IoT Jobs documentation here for more information on creating and deploying jobs.

Running the jobs-example

node examples/jobs-example.js -f ~/certs -H <PREFIX>.iot.<REGION>.amazonaws.com -T thingName

jobs-agent.js

jobs-agent.js can be run on a device as-is or it can be modified to suit specific use cases. Example job documents are provided below. For more information see the AWS IoT connected device management documentation here.

Running the jobs-agent

node examples/jobs-agent.js -f ~/certs -H <PREFIX>.iot.<REGION>.amazonaws.com -T agentThingName

Using the jobs-agent

systemStatus operation

The jobs-agent will respond to the AWS IoT jobs management platform with system status information when it receives a job execution notification with a job document that looks like this:

 {
  "operation": "systemStatus"
 }
reboot operation

When the jobs-agent receives a reboot job document it will attempt to reboot the device it is running on while sending updates on its progress to the AWS IoT jobs management platform. After the reboot the job execution status will be marked as IN_PROGRESS until the jobs-agent is also restarted at which point the status will be updated to SUCCESS. To avoid manual steps during reboot it is suggested that device be configured to automatically start the jobs-agent at device startup time. Job document format:

 {
  "operation": "reboot"
 }
shutdown operation

When the jobs-agent receives a shutdown job document it will attempt to shutdown the device.

 {
  "operation": "shutdown"
 }
install operation

When the jobs-agent receives an install job document it will attempt to install the files specified in the job document. An install job document should follow this general format.

 {
  "operation": "install",
  "packageName": "uniquePackageName",
  "workingDirectory": "../jobs-example-directory",
  "launchCommand": "node jobs-example.js -f ~/certs -H <PREFIX>.iot.<REGION>.amazonaws.com -T thingName",
  "autoStart": "true",
  "files": [
    {
      "fileName": "jobs-example.js",
      "fileVersion": "1.0.2.10",
      "fileSource": {
        "url": "https://some-bucket.s3.amazonaws.com/jobs-example.js"
      },
      "checksum": {
        "inline": {
          "value": "9569257356cfc5c7b2b849e5f58b5d287f183e08627743498d9bd52801a2fbe4"
        },
        "hashAlgorithm": "SHA256"
      }
    },
    {
      "fileName": "config.json",
      "fileSource": {
        "url": "https://some-bucket.s3.amazonaws.com/config.json"
      }
    }
  ]
}
  • packageName: Each install operation must have a unique package name. If the packageName matches a previous install operation then the new install operation overwrites the previous one.
  • workingDirectory: Optional property for working directory
  • launchCommand: Optional property for launching an application/package. If omitted copy files only.
  • autoStart: If set to true then agent will execute launch command when agent starts up.
  • files: Specifies files to be installed
    • fileName: Name of file as written to file system
    • fileSource.url: Location of file to be downloaded from
    • checksum: Optional file checksum
      • inline.value: Checksum value
      • hashAlgorithm: Checksum hash algorithm used
start operation

When the jobs-agent receives a start job document it will attempt to startup the specified package.

 {
  "operation": "start",
  "packageName": "somePackageName"
 }
stop operation

When the jobs-agent receives a stop job document it will attempt to stop the specified package.

 {
  "operation": "stop",
  "packageName": "somePackageName"
 }
restart operation

When the jobs-agent receives a restart job document it will attempt to restart the specified package.

 {
  "operation": "restart",
  "packageName": "somePackageName"
 }

Browser Applications

This SDK can be packaged to run in a browser using browserify or webpack, and includes helper scripts and example application code to help you get started writing browser applications that use AWS IoT.

Background

Browser applications connect to AWS IoT using MQTT over the Secure WebSocket Protocol. There are some important differences between Node.js and browser environments, so a few adjustments are necessary when using this SDK in a browser application.

When running in a browser environment, the SDK doesn't have access to the filesystem or process environment variables, so these can't be used to store credentials. While it might be possible for an application to prompt the user for IAM credentials, the Amazon Cognito Identity Service provides a more user-friendly way to retrieve credentials which can be used to access AWS IoT. The temperature-monitor browser example application illustrates this use case.

Using SDK with browserify

Installing browserify

This SDK could also work with web applications using browserify. First, you'll need to make sure that browserify is installed. The following instructions and the scripts in this package assume that it is installed globally, as with:

npm install -g browserify

Browser Application Utility

This SDK includes a utility script called scripts/browserize.sh. This script can create a browser bundle containing both the AWS SDK for JavaScript and this SDK, or you can use it to create application bundles for browser applications, like the ones under the examples/browser directory. For Windows user who does not want to use bash shell, the SDK also includes batch file windows-browserize.bat which does the same job as browserize.sh but able to run in Windows CMD. To create the combined AWS SDK browser bundle, run this command in the SDK's top-level directory:

npm run-script browserize

This command will create a browser bundle in browser/aws-iot-sdk-browser-bundle.js. The browser bundle makes both the aws-sdk and aws-iot-device-sdk modules available so that you can require them from your browserified application bundle.

NOTE: For Windows user who running scripts in CMD, since batch script file does not work well with NPM package script, Windows user could just call script directly to replace npm run-script browserize. This also applies for example applications demonstrated below.

.\scripts\windows-browserize.bat

Creating Application Bundles

You can also use the scripts/browserize.sh script to browserify your own applications and use them with the AWS SDK browser bundle. For example, to prepare the temperature-monitor browser example application for use, run this command in the SDK's top-level directory:

npm run-script browserize examples/browser/temperature-monitor/index.js

This command does two things. First, it creates an application bundle from examples/browser/temperature-monitor/index.js and places it in examples/browser/temperature-monitor/bundle.js. Second, it copies the browser/aws-iot-sdk-browser-bundle.js into your application's directory where it can be used, e.g.:

<script src="aws-iot-sdk-browser-bundle.js"></script>
<script src="bundle.js"></script>

Temperature Monitor Browser Example Application

This SDK includes a companion browser application to the Temperature Control Example Application. The browser application allows you to monitor the status of the simulated temperature control device.

  1. Follow the instructions to install the Temperature Control Example Application

  2. In order for the browser application to be able to authenticate and connect to AWS IoT, you'll need to configure a Cognito Identity Pool. In the Amazon Cognito console, use Amazon Cognito to create a new identity pool, and allow unauthenticated identities to connect. Obtain the PoolID constant. Make sure that the policy attached to the unauthenticated role has permissions to access the required AWS IoT APIs. More information about AWS IAM roles and policies can be found here.

  3. Edit examples/browser/temperature-monitor/aws-configuration.js, and replace the values of poolId and region with strings containing the ID of the Cognito Identity Pool and your AWS region (e.g., 'us-east-1') from the previous step.

  4. Create the application browser bundle by executing the following command in the top-level directory of the SDK:

    npm run-script browserize examples/browser/temperature-monitor/index.js
  5. Start an instance of the device simulation using:

    node examples/temperature-control/temperature-control.js -f ~/certs --test-mode=2 -H <PREFIX>.iot.<REGION>.amazonaws.com

NOTE: Although the above example shows connecting using a certificate/private key set, you can use any of the command line options described in the Example Programs Section.

  1. Open examples/browser/temperature-monitor/index.html in your web browser. It should connect to AWS IoT and began displaying the status of the simulated temperature control device you started in the previous step. If you change the device's settings, the browser window should update and display the latest status values.

Lifecycle Event Monitor Browser Example Application

This SDK includes a browser application which demonstrates the functionality of AWS IoT lifecycle events. AWS IoT generates lifecycle events whenever clients connect or disconnect; applications can monitor these and take action when clients connect or disconnect from AWS IoT. Follow these instructions to run the application:

  1. In order for the browser application to be able to authenticate and connect to AWS IoT, you'll need to configure a Cognito Identity Pool. In the Amazon Cognito console, use Amazon Cognito to create a new identity pool, and allow unauthenticated identities to connect. Obtain the PoolID constant. Make sure that the policy attached to the unauthenticated role has permissions to access the required AWS IoT APIs. More information about AWS IAM roles and policies can be found here.

  2. Edit examples/browser/lifecycle/aws-configuration.js, and replace the values of poolId and region with strings containing the ID of the Cognito Identity Pool and your AWS region (e.g., 'us-east-1') from the previous step.

  3. Create the application browser bundle by executing the following command in the top-level directory of the SDK:

    npm run-script browserize examples/browser/lifecycle/index.js
  4. Open examples/browser/lifecycle/index.html in your web browser. After connecting to AWS IoT, it should display 'connected clients'.

  5. Start programs which connect to AWS IoT (e.g., the example programs in this package). Make sure that these programs are connecting to the same AWS region that your Cognito Identity Pool was created in. The browser application will display a green box containing the client ID of each client which connects; when the client disconnects, the box will disappear.

  6. If a DynamoDB table named LifecycleEvents exists in your account and has a primary key named clientId, the lifecycle event browser monitor browser application will display the client ID contained in each row. By updating this table using an AWS IoT rule triggered by lifecycle events, you can maintain a persistent list of all of the currently connected clients within your account.

MQTT Explorer Browser Example Application

This SDK includes a browser application which implements a simple interactive MQTT client. You can use this application to subscribe to a topic and view the messages that arrive on it, or to publish to a topic. Follow these instructions to run the application:

  1. In order for the browser application to be able to authenticate and connect to AWS IoT, you'll need to configure a Cognito Identity Pool. In the Amazon Cognito console, use Amazon Cognito to create a new identity pool, and allow unauthenticated identities to connect. Obtain the PoolID constant. Make sure that the policy attached to the unauthenticated role has permissions to access the required AWS IoT APIs. More information about AWS IAM roles and policies can be found here.

  2. Edit examples/browser/mqtt-explorer/aws-configuration.js, and replace the values of poolId and region with strings containing the ID of the Cognito Identity Pool and your AWS region (e.g., 'us-east-1') from the previous step.

  3. Create the application browser bundle by executing the following command in the top-level directory of the SDK:

    npm run-script browserize examples/browser/mqtt-explorer/index.js
  4. Open examples/browser/mqtt-explorer/index.html in your web browser. After connecting to AWS IoT, it should display input fields allowing you to subscribe or publish to a topic. By subscribing to '#', for example, you will be able to monitor all traffic within your AWS account as allowed by the policy associated with the unauthenticated role of your Cognito Identity Pool.

Reducing Browser Bundle Size

After your application development is complete, you will probably want to reduce the size of the browser bundle. There are a couple of easy techniques to do this, and by combining both of them you can create much smaller browser bundles.

Eliminate unused features from the AWS SDK
  1. The AWS SDK for JavaScript allows you to install only the features you use in your application. In order to use this feature when preparing a browser bundle, first you'll need to remove any existing bundle that you've already created:

    rm browser/aws-iot-sdk-browser-bundle.js
  2. Define the AWS features your application uses as a comma-separated list in the AWS_SERVICES environment variable. For example, the MQTT Explorer example uses only AWS Cognito Identity, so to create a bundle containing only this feature, do:

    export AWS_SERVICES=cognitoidentity

    For a list of the AWS SDK feature names, refer to the features subdirectory of the AWS SDK for JavaScript. As another example, if your application uses Cognito Identity, DynamoDB, S3, and SQS, you would do:

    export AWS_SERVICES=cognitoidentity,dynamodb,s3,sqs
  3. Create the browser app and bundle, e.g. for the MQTT Explorer example, do:

    npm run-script browserize examples/browser/mqtt-explorer/index.js

Uglify the bundle source

Uglify is an npm utility for minimizing the size of JavaScript source files. To use it, first install it as a global npm package:

npm install -g uglify

Once installed, you can use it to reduce the bundle size:

uglify -s ./browser/aws-iot-sdk-browser-bundle.js -o ./browser/aws-iot-sdk-browser-bundle-min.js

After you've created the minimized bundle, you'll need to make sure that your application loads this version rather than the non-minimized version, e.g:

<script src="aws-iot-sdk-browser-bundle-min.js"></script>
Optimization results

By using both of the above techniques for the MQTT Explorer example, the bundle size can be reduced from 2.4MB to 615KB.

Using SDK with webpack

In order to work with webpack, you have to create a webpack package. You can put your file dependencies in entry.js and output it as bundle.js. An example is provided in the location ./examples/browser/mqtt-webpack

cd ./examples/browser/mqtt-webpack
npm install
./node_modules/.bin/webpack --config webpack.config.js

The index.html will load the output file bundle.js and execute functions defined in entry.js. This duplicates the example of mqtt-explore above which loaded SDK into web browser using browserify.

Troubleshooting

If you have problems connecting to the AWS IoT Platform when using this SDK or running the example programs, there are a few things to check:

  • Region Mismatch: You have to use the certificate created in the same region as your host end point.
  • Duplicate Client IDs: Within your AWS account, the AWS IoT platform will only allow one connection per client ID. Many of the example programs run as two processes which communicate with one another. If you don't specify a client ID, the example programs will generate random client IDs, but if you are using a JSON configuration file, you'll need to explictly specify client IDs for both programs using the '-i' command line option.
  • Invalid NPM Version: To run the browserize.sh script which prepares the browser example applications, you'll need to use npm version 3. This is because browserize.sh expects package dependencies to be handled using the npm version 3 strategy, which is different than the strategy used in npm version 2. If you're having trouble running the browser application examples, make sure that you're using npm version 3. You can check your npm version with npm -v.

Unit Tests

This package includes unit tests which can be run as follows:

npm test

Running the unit tests will also generate code coverage data in the 'reports' directory.

License

This SDK is distributed under the Apache License, Version 2.0, see LICENSE.txt and NOTICE.txt for more information.

Support

If you have technical questions about AWS IoT Device SDK, use the AWS IoT Forum. For any other questions on AWS IoT, contact AWS Support.

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aws-toolkit-vscode

CodeWhisperer, CodeCatalyst, Local Lambda debug, SAM/CFN syntax, ECS Terminal, AWS resources
TypeScript
1,150
star
40

opsworks-cookbooks

Chef Cookbooks for the AWS OpsWorks Service
Ruby
1,058
star
41

aws-codebuild-docker-images

Official AWS CodeBuild repository for managed Docker images http://docs.aws.amazon.com/codebuild/latest/userguide/build-env-ref.html
Dockerfile
1,032
star
42

amazon-ssm-agent

An agent to enable remote management of your EC2 instances, on-premises servers, or virtual machines (VMs).
Go
975
star
43

aws-iot-device-sdk-embedded-C

SDK for connecting to AWS IoT from a device using embedded C.
C
926
star
44

aws-health-tools

The samples provided in AWS Health Tools can help users to build automation and customized alerting in response to AWS Health events.
Python
887
star
45

aws-graviton-getting-started

Helping developers to use AWS Graviton2, Graviton3, and Graviton4 processors which power the 6th, 7th, and 8th generation of Amazon EC2 instances (C6g[d], M6g[d], R6g[d], T4g, X2gd, C6gn, I4g, Im4gn, Is4gen, G5g, C7g[d][n], M7g[d], R7g[d], R8g).
Python
850
star
46

aws-app-mesh-examples

AWS App Mesh is a service mesh that you can use with your microservices to manage service to service communication.
Shell
844
star
47

deep-learning-containers

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
Python
800
star
48

aws-parallelcluster

AWS ParallelCluster is an AWS supported Open Source cluster management tool to deploy and manage HPC clusters in the AWS cloud.
Python
782
star
49

aws-lambda-runtime-interface-emulator

Go
771
star
50

aws-toolkit-jetbrains

AWS Toolkit for JetBrains - a plugin for interacting with AWS from JetBrains IDEs
Kotlin
735
star
51

graph-notebook

Library extending Jupyter notebooks to integrate with Apache TinkerPop, openCypher, and RDF SPARQL.
Jupyter Notebook
706
star
52

aws-iot-device-sdk-python

SDK for connecting to AWS IoT from a device using Python.
Python
670
star
53

amazon-chime-sdk-js

A JavaScript client library for integrating multi-party communications powered by the Amazon Chime service.
TypeScript
655
star
54

amazon-ec2-instance-selector

A CLI tool and go library which recommends instance types based on resource criteria like vcpus and memory
Go
642
star
55

studio-lab-examples

Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!
Jupyter Notebook
625
star
56

aws-secretsmanager-agent

The AWS Secrets Manager Agent is a local HTTP service that you can install and use in your compute environments to read secrets from Secrets Manager and cache them in memory.
Rust
584
star
57

event-ruler

Event Ruler is a Java library that allows matching many thousands of Events per second to any number of expressive and sophisticated rules.
Java
564
star
58

aws-sdk-rails

Official repository for the aws-sdk-rails gem, which integrates the AWS SDK for Ruby with Ruby on Rails.
Ruby
554
star
59

aws-mwaa-local-runner

This repository provides a command line interface (CLI) utility that replicates an Amazon Managed Workflows for Apache Airflow (MWAA) environment locally.
Shell
553
star
60

amazon-eks-pod-identity-webhook

Amazon EKS Pod Identity Webhook
Go
534
star
61

aws-lambda-java-libs

Official mirror for interface definitions and helper classes for Java code running on the AWS Lambda platform.
C++
518
star
62

aws-lambda-base-images

506
star
63

aws-appsync-community

The AWS AppSync community
HTML
495
star
64

sagemaker-training-toolkit

Train machine learning models within a ๐Ÿณ Docker container using ๐Ÿง  Amazon SageMaker.
Python
493
star
65

dotnet

GitHub home for .NET development on AWS
487
star
66

aws-cdk-rfcs

RFCs for the AWS CDK
JavaScript
476
star
67

aws-sam-cli-app-templates

Python
472
star
68

aws-elastic-beanstalk-cli-setup

Simplified EB CLI installation mechanism.
Python
453
star
69

amazon-cloudwatch-agent

CloudWatch Agent enables you to collect and export host-level metrics and logs on instances running Linux or Windows server.
Go
403
star
70

secrets-store-csi-driver-provider-aws

The AWS provider for the Secrets Store CSI Driver allows you to fetch secrets from AWS Secrets Manager and AWS Systems Manager Parameter Store, and mount them into Kubernetes pods.
Go
393
star
71

amazon-braket-examples

Example notebooks that show how to apply quantum computing in Amazon Braket.
Python
376
star
72

aws-for-fluent-bit

The source of the amazon/aws-for-fluent-bit container image
Shell
375
star
73

aws-pdk

The AWS PDK provides building blocks for common patterns together with development tools to manage and build your projects.
TypeScript
361
star
74

aws-extensions-for-dotnet-cli

Extensions to the dotnet CLI to simplify the process of building and publishing .NET Core applications to AWS services
C#
346
star
75

aws-sdk-php-symfony

PHP
346
star
76

aws-app-mesh-roadmap

AWS App Mesh is a service mesh that you can use with your microservices to manage service to service communication
344
star
77

aws-lambda-builders

Python library to compile, build & package AWS Lambda functions for several runtimes & framework
Python
337
star
78

aws-iot-device-sdk-python-v2

Next generation AWS IoT Client SDK for Python using the AWS Common Runtime
Python
335
star
79

constructs

Define composable configuration models through code
TypeScript
332
star
80

pg_tle

Framework for building trusted language extensions for PostgreSQL
C
329
star
81

graph-explorer

React-based web application that enables users to visualize both property graph and RDF data and explore connections between data without having to write graph queries.
TypeScript
321
star
82

aws-codedeploy-agent

Host Agent for AWS CodeDeploy
Ruby
316
star
83

aws-sdk-ruby-record

Official repository for the aws-record gem, an abstraction for Amazon DynamoDB.
Ruby
313
star
84

aws-ops-wheel

The AWS Ops Wheel is a randomizer that biases for options that havenโ€™t come up recently; you can also outright cheat and specify the next result to be generated.
JavaScript
308
star
85

aws-xray-sdk-python

AWS X-Ray SDK for the Python programming language
Python
304
star
86

sagemaker-inference-toolkit

Serve machine learning models within a ๐Ÿณ Docker container using ๐Ÿง  Amazon SageMaker.
Python
303
star
87

efs-utils

Utilities for Amazon Elastic File System (EFS)
Python
286
star
88

amazon-ivs-react-native-player

A React Native wrapper for the Amazon IVS iOS and Android player SDKs.
TypeScript
286
star
89

sagemaker-spark

A Spark library for Amazon SageMaker.
Scala
282
star
90

apprunner-roadmap

This is the public roadmap for AWS App Runner.
280
star
91

aws-xray-sdk-go

AWS X-Ray SDK for the Go programming language.
Go
274
star
92

aws-toolkit-eclipse

(End of life: May 31, 2023) AWS Toolkit for Eclipse
Java
273
star
93

elastic-beanstalk-roadmap

AWS Elastic Beanstalk roadmap
272
star
94

aws-logging-dotnet

.NET Libraries for integrating Amazon CloudWatch Logs with popular .NET logging libraries
C#
271
star
95

sagemaker-tensorflow-training-toolkit

Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https://github.com/aws/deep-learning-containers.
Python
270
star
96

aws-lc-rs

aws-lc-rs is a cryptographic library using AWS-LC for its cryptographic operations. The library strives to be API-compatible with the popular Rust library named ring.
Rust
263
star
97

elastic-load-balancing-tools

AWS Elastic Load Balancing Tools
Java
262
star
98

aws-step-functions-data-science-sdk-python

Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS
Python
261
star
99

amazon-braket-sdk-python

A Python SDK for interacting with quantum devices on Amazon Braket
Python
254
star
100

aws-xray-sdk-node

The official AWS X-Ray SDK for Node.js.
JavaScript
248
star