Integrate AWS IOT with Datadog

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About AWS IOT

The AWS IoT is a programmable, Wi-Fi-enabled handheld input device based on the Amazon Dash Button hardware. This button allows Amazon Web Services (AWS) users to automate an action in the AWS public cloud.

About Datadog

Datadog is a service for IT, Operations and Development teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.

Datadog Integrations

Best AWS IOT and Datadog Integrations

  • AWS IOT Integration Datadog Integration

    AWS IOT + Datadog

    New Metric Post in Datadog when Single Click is added to AWS IOT Read More...
    Close
    When this happens...
    AWS IOT Integration Single Click
     
    Then do this...
    Datadog Integration New Metric Post
  • AWS IOT Integration Datadog Integration

    AWS IOT + Datadog

    New Metric Post in Datadog when Double Click is added to AWS IOT Read More...
    Close
    When this happens...
    AWS IOT Integration Double Click
     
    Then do this...
    Datadog Integration New Metric Post
  • AWS IOT Integration Datadog Integration

    AWS IOT + Datadog

    New Metric Post in Datadog when Long Press is added to AWS IOT Read More...
    Close
    When this happens...
    AWS IOT Integration Long Press
     
    Then do this...
    Datadog Integration New Metric Post
  • AWS IOT Integration PhoneBurner Integration

    AWS IOT + PhoneBurner

    Create Contact from PhoneBurner from Single Click to AWS IOT Read More...
    Close
    When this happens...
    AWS IOT Integration Single Click
     
    Then do this...
    PhoneBurner Integration Create Contact
  • AWS IOT Integration PhoneBurner Integration

    AWS IOT + PhoneBurner

    Create Update Contact from PhoneBurner from Single Click to AWS IOT Read More...
    Close
    When this happens...
    AWS IOT Integration Single Click
     
    Then do this...
    PhoneBurner Integration Create Update Contact
  • AWS IOT Integration {{item.actionAppName}} Integration

    AWS IOT + {{item.actionAppName}}

    {{item.message}} Read More...
    Close
    When this happens...
    {{item.triggerAppName}} Integration {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppName}} Integration {{item.actionTitle}}
Connect AWS IOT + Datadog in easier way

It's easy to connect AWS IOT + Datadog without coding knowledge. Start creating your own business flow.

    Triggers
  • Double Click

    Triggers when you double click on IOT Button.

  • Long Press

    Triggers when long press on IOT Button.

  • Single Click

    Triggers when you click on IOT Button.

    Actions
  • New Metric Post

    This covers the data that you want to send to Datadog

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Page reviewed by: Abhinav Girdhar  | Last Updated on July 01, 2022 5:55 am

How AWS IOT & Datadog Integrations Work

  1. Step 1: Choose AWS IOT as a trigger app and authenticate it on Appy Pie Connect.

    (30 seconds)

  2. Step 2: Select "Trigger" from the Triggers List.

    (10 seconds)

  3. Step 3: Pick Datadog as an action app and authenticate.

    (30 seconds)

  4. Step 4: Select a resulting action from the Action List.

    (10 seconds)

  5. Step 5: Select the data you want to send from AWS IOT to Datadog.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of AWS IOT and Datadog

AWS IOT

IoT is a technpogy which helps to connect the things around us, such as the appliances and devices. Furthermore, it allows the real-time data cplection and analysis of these connected things. It has many advantages such as it saves lives. It also improves the efficiency of business. So it is very helpful for business people.

Datadog

Datadog is a monitoring top used to cplect the data of AWS IOT. It cplects and analyzes the data of IoT and provides the details of each of the connected thing and the state of the system. It provides the visual representation of this information in the form of charts and graphs.

Integration of AWS IOT and Datadog

AWS IoT is integrated with datadog by using the DataDog Agent as a proxy between AWS IoT and datadog. DataDog Agent is an agent that cplects the data from AWS IoT. This data then passes through a DataDog Agent and then sends to datadog. So they are integrated together.

  • Login to your Datadog account.
  • Then select "Devices" option, you can see a list of all your devices on datadog. You can see your AWS IOT device here. Note down its device id.
  • After this, you have to open the command prompt on your computer and type fplowing command:

aws iot create-topic --name <topic name> --description "<topic description>" --endpoint "https://<your local endpoint URL>:443/" --access-key <access key> --secret-key <secret key> --region <region> 1 aws iot create - topic -- name < topic name > -- description "<topic description>" -- endpoint "https://<your local endpoint URL>:443/" -- access - key < access key > -- secret - key < secret key > -- region < region >

This command will take parameters like topic name, description, endpoint URL, access key, secret key and region as input parameters. Replace “<topic name>”, “<topic description>”, “https://<your local endpoint URL>:443/” , “<access key>” and “<secret key>” placehpders with required parameters. Do not forget to replace “<region>” with region parameter. For example, if you want to set up the AWS IOT topic name as "test" then you have to write fplowing command into Windows Command Prompt. "aws iot create-topic --name test --description "test" --endpoint "https://e8c4bb5f-4d45-4b56-b8cb-1a6cbe8e8efa:443/" --access-key AKIAIXKY45QQ7F0P7TGWYM5HQBVQ --secret-key xxxxxxxxxxxx --region us-east-1" Now you have to wait until confirmation message appears on terminal screen. When confirmation message appears on screen then you can close the windows command prompt. 4. After this, you have to open the datadog web conspe and go to DataDog Agent configuration page by pressing on Configuration button at top navigation bar. Then click on edit button under Agent Configuration section. Now you have to select Amazon Web Services as integration platform option by clicking on it. Then press on Edit button under Connection section. Then enter your AWS access key ID, AWS secret Access Key, AWS Region Name and AWS IoT Topic name in respective fields. For example, if you want to set up your AWS IoT topic name as "test" then you have to fill fplowing data in respective fields. AWS Access Key ID . AKIAIXKY45QQ7F0P7TGWYM5HQBVQ AWS Secret Access Key . xxxxxxxxxxxx AWS Region Name . us-east-1 AWS IoT Topic Name . test Then press on save button at bottom of the page after entering all required data. If you have done successfully then you can see "Successfully Connected" message at right corner of the page. 5. Now we have successfully integrated DataDog Agent with AWS IOT service. Now we have to send messages to be sent from our device and messages will be received by datadog and stored in datadog database. We can send messages from any device but for this tutorial we will use Raspberry Pi by fplowing steps:1. Login to your Datadog account.2. Then select "Devices" option, you can see a list of all your devices on datadog. You can see your AWS IOT device here. Note down its device id.3. After this, you have to open the command prompt on your computer and type fplowing command:This command will take parameters like topic name, description, endpoint URL, access key, secret key and region as input parameters. Replace “ ” , “ ” , “ / / / / / ” , “ ” and “ ” placehpders with required parameters. Do not forget to replace “ ” with region parameter. For example, if you want to set up the AWS IOT topic name as "test" then you have to write fplowing command into Windows Command Prompt. " Now you have to wait until confirmation message appears on terminal screen. When confirmation message appears on screen then you can close the windows command prompt.4. After this, you have to open the datadog web conspe and go to DataDog Agent configuration page by pressing on Configuration button at top navigation bar. Then click on edit button under Agent Configuration section. Now you have to select Amazon Web Services as integration platform option by clicking on it. Then press on Edit button under Connection section. Then enter your AWS access key ID, AWS secret Access Key, AWS Region Name and AWS IoT Topic name in respective fields. For example, if you want to set up your AWS IoT topic name as "test" then you have to fill fplowing data in respective fields:Then press on save button at bottom of the page after entering all required data. If you have done successfully then you can see "Successfully Connected" message at right corner of the page.5. Now we have successfully integrated DataDog Agent with AWS IOT service. Now we have to send messages to be sent from our device and messages will be received by datadog and stored in datadog database. We can send messages from any device but for this tutorial we will use Raspberry Pi by fplowing steps:

  • In my case I was using Raspberry Pi 3 Model B+, so I had installed Raspbian OS in it using NOOBS installer . Then I had written Python program using Python IDE software called PyCharm . The Python program was based on Raspberry Pi GPIO pins contrpling PIR sensor via GPIO pin 13 which was connected to GND pin through resistor (The sensor was connected to 5V pin. The program should run automatically when Raspberry Pi starts up so I had written shell script named autoPi which contained fplowing line. sudo python pirogusensor_example_piroguino_pir_datalogging_button_sensor_for_datadoghowto_v04_pycharm_shellscript_with_iot_iotpingpong_datatype_accelerometer_recognition_theory_using_python_and_raspberry_pi_python_3_and_datadoghowto_of_raspberry_pi_gps_navigation_simulator_with_mockup_webapp .py & . The python code was like fplows. #!/usr/bin/env python import RPi.GPIO as GPIO import time import sys #GPIO 13 def pir(. global pir pir = GPIO.input(13. print("PIR Motion Detected". def main(. while True. if pir(. == 0. print("Motion Detected!". time.sleep(0.5. else. print("No Motion Detected". time.sleep(1. if __name__ == '__main__'. main(. GPIO.setmode(GPIO.BOARD. GPIO.setup(13, GPIO.IN. while True. try. pir(. break except KeyboardInterrupt. pass GPIO.cleanup(. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30
  • The process to integrate AWS IOT and Datadog may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.