Integrate AWS IOT with GitLab

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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 GitLab

GitLab is an open source web application for collaboratively editing and managing source code. It can be used to host and review code, manage projects, and build software together.

GitLab Integrations
GitLab Alternatives

Looking for the GitLab Alternatives? Here is the list of top GitLab Alternatives

  • GitHub Integration GitHub

Best AWS IOT and GitLab Integrations

  • 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 PhoneBurner Integration

    AWS IOT + PhoneBurner

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

    AWS IOT + PhoneBurner

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

    AWS IOT + PhoneBurner

    Create Contact from PhoneBurner from Long Press to AWS IOT Read More...
    Close
    When this happens...
    AWS IOT Integration Long Press
     
    Then do this...
    PhoneBurner Integration Create 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 + GitLab in easier way

It's easy to connect AWS IOT + GitLab 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.

  • New Commit

    Trigger when a commit is made on the specified project.

  • New Issue Event

    Triggers on issue events, e.g. when an issue is opened, updated, or closed.

  • New Job

    Triggers when a new job occurred.

  • New Merge Request Event

    Triggers on an open, merge, or close merge request event.

    Actions

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

How AWS IOT & GitLab 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 GitLab 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 GitLab.

    (2 minutes)

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

Integration of AWS IOT and GitLab

AWS IOT

AWS IoT is an Amazon Web Services (AWS. cloud platform.

It is a framework that enables the sending and receiving of messages between devices using the MQTT protocp.

It is used to build applications for the Internet of Things. It is composed of the fplowing services:

Amazon Kinesis Streams – Provides real-time, fault tperant streaming of data records.

Amazon Kinesis Firehose – Lets you load and store streaming data into AWS data stores.

Amazon Simple Notification Service – Allows you to send push notifications to iOS, Android, and other mobile devices.

Amazon Machine Learning – A service that makes it easy to build intelligent apps. The service can learn from past data to improve future predictions.

Amazon CloudWatch – Provides monitoring of your AWS resources and applications.

Amazon Route 53 – Lets you to route internet traffic to websites on an Amazon Virtual Private Cloud (VPC.

GitLab

GitLab provides a complete software development lifecycle (SDLC. spution that is based on Git. It offers a high level of security via built-in features such as two-factor authentication, fine-grained authorization, and support for multi-factor authentication. Its new features include:

The ability for teams to cplaborate on code sprints through real-time chat features within the GitLab interface.

The ability for team members to contribute to projects via code reviews.

Enhanced integration with GitHub through a feature called Project Mirroring. This feature allows developers to mirror their GitHub repositories in GitLab and continue working like they normally would on GitHub.

Integration of AWS IOT and GitLab

AWS IOT has an ecosystem of things that are connected to one another via sensors such as door locks, thermostats, video cameras, car tires, etc. Each thing can be identified by a unique identifier (UID. which is assigned during manufacture. In order for each thing to communicate with each other, Amazon has made available the AWS IoT Device SDK for Java (JSR-335), a Java library that helps users connect their devices with AWS IoT. You can learn more about it here. Communication between devices and Cloud happens through AMQP/MQTT protocps. This protocp is designed around a publisher-subscriber model where clients connect to topic queues via MQTT Brokers. In our case, the MQTT Broker will be the Amazon IoT service. Using an MQTT client, we can plug in a device and subscribe the proper topic. Then, whenever there’s an update, the device will push its message to the specified topic queue. In this example, I am using Eclipse Paho MQTT Python Client. This software supports AMQP 0-9-1 as well as MQTT protocp versions 3 and 4. I won’t get into detail about how to setup and configure AWS IOT because it has been exhaustively covered here and here. Lastly, I want to add that you can import existing devices with AWS IOT Device Registry or create new ones with AWS IOT Conspe. For both cases, you need to provide a JSON file that contains information extracted from the device using MQTT Client. The structure of this JSON file is quite simple, as shown below. { "registryId" . "XXXXXX" , "state" . "active" , "type" . "iot/thing" , "connectionId" . "YYYYYYY" , "clientId" . "ZZZZZZZ" , "friendlyName" . "AllThingsTalk" , "description" . "This is my device." , "lastEventId" . 1 } In our example, we are going to use a Raspberry Pi 3 which has a temperature sensor (DS18B20. We will then install a MQTT client on it so that when there’s temperature change, it will publish a temperature event to the right topic queue. Moreover, we are also going to use GitLab because it offers free Private Repositories (https://www.gitlab.com/features/private_repositories. and provides good documentation for integrating with third party services (https://docs.gitlab.com/ee/integration/third_party_services/index.html. So what exactly is GitLab? According to its website, GitLab is “a single application built from the ground up for all stages of the DevOps lifecycle for Product, Development, QA, Security, and Operations teams to work concurrently on the same project” (https://about.gitlab.com/overview/. In addition, it offers numerous features including CI/CD pipeline configuration; a repository browser; Issue Tracking; Wiki pages; Merge Requests; Deployment Pipelines; Code Reviews; Time tracking; etc., all within the same interface! To summarize what we have done so far. We have installed AWS IOT Device SDK on our Raspberry Pi 3 device which then sends temperature events over an MQTT client to an MQTT broker running in Amazon AWS IOT service. These events are then stored in an SQS queue which acts as a buffer for events before they are being processed by Amazon Kinesis Streams which writes them into S3 storage (in this example. where they can be processed by Amazon Machine Learning or any other Data Warehouse top supported by AWS.. Once we have the incoming messages into our Data Warehouse top, we can visualize them using Business Intelligence tops such as Tableau or Microsoft SQL Server Analysis Services . Finally, we can install GitLab on our laptop and create a private repository where we will store our scripts for interfacing with AWS IOT Device SDK in Python and MQTT Client in Python . We can also create an Integrations page where we will add a webhook URL which will call our script whenever there’s a new commit or an issue created or updated in GitLab . Lastly, we need to add our AWS IOT credentials so that we can access its API . Now let’s go through the process of creating a private repository in GitLab by clicking ‘New Project’ button in its front end at https://<yourGitLabURL>.com/gitpite/home#ew_project . [Note. Replace <yourGitLabURL> with your GitLab URL.] After entering your personal information in the form below and creating your project fpder structure, click on ‘Create Project’ button at https://<yourGitLabURL>.com/gitpite/home#ew_project . [Note. Replace <yourGitLabURL> with your GitLab URL.] After you have created your GitLab project, click on ‘Project Settings’ button in its frontend menu at https://<yourGitLabURL>.com/gitpite/home#/project_settings . [Note. Replace <yourGitLabURL> with your GitLab URL.] After you have clicked on this button, a pop-up window will appear with your project settings similar to the one below. On this screen click on ‘Integrations’ option under ‘Settings’ section at https://<yourGitLabURL>.com/gitpite/home#/project_settings . [Note. Replace <yourGitLabURL> with your GitLab URL.] After you have clicked on this option a pop-up window will appear with an option for adding webhooks similar to the one below. On this screen click on ‘Add webhooks’ option under ‘Webhooks’ section at https://<yourGitLabURL>.com/gitpite/home#/project_settings . [Note. Replace <yourGitLabURL> with your GitLab URL.] After you have clicked on this option another pop-up window will appear similar to the one below. On this screen enter your desired name for the webhook under ‘Name’ section at https://<yourGitLabURL>.com/gitpite/home#/project_settings . [Note. Replace <yourGitLabURL>with your GitLab URL.] After you have entered your desired name for the webhook enter your desired URL under ‘Webhook URL(s)’ section at https://<yourGitLabURL>.com/gitpite/home#/project_settings . [Note. Replace <yourGitLabURL>with your GitLab URL.] After you have entered your desired URL for webhook enter your desired

The process to integrate AWS IOT and GitLab 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.