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GitLab + Amazon SQS Integrations

Appy Pie Connect allows you to automate multiple workflows between GitLab and Amazon SQS

  • No code
  • No Credit Card
  • Lightning Fast Setup
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.

About Amazon SQS

Amazon SQS is a fully managed message queuing service. It offers reliable, highly scalable, reliable messaging and transaction processing that lets you decouple tasks or processes that must communicate.

Amazon SQS Integrations
Amazon SQS Alternatives

Looking for the Amazon SQS Alternatives? Here is the list of top Amazon SQS Alternatives

  • GitLab GitLab
  • GitHub GitHub
  • ServiceNow ServiceNow
  • Zoho Creator Zoho Creator

Best ways to Integrate GitLab + Amazon SQS

  • GitLab Amazon SQS

    GitLab + Amazon SQS

    Create Queue to Amazon SQS from New Commit in GitLab Read More...
    Close
    When this happens...
    GitLab New Commit
     
    Then do this...
    Amazon SQS Create Queue
  • GitLab Amazon SQS

    GitLab + Amazon SQS

    Create Message to Amazon SQS from New Commit in GitLab Read More...
    Close
    When this happens...
    GitLab New Commit
     
    Then do this...
    Amazon SQS Create Message
  • GitLab Amazon SQS

    GitLab + Amazon SQS

    Create JSON Message to Amazon SQS from New Commit in GitLab Read More...
    Close
    When this happens...
    GitLab New Commit
     
    Then do this...
    Amazon SQS Create JSON Message
  • GitLab Amazon SQS

    GitLab + Amazon SQS

    Create Queue to Amazon SQS from New Merge Request Event in GitLab Read More...
    Close
    When this happens...
    GitLab New Merge Request Event
     
    Then do this...
    Amazon SQS Create Queue
  • GitLab Amazon SQS

    GitLab + Amazon SQS

    Create Message to Amazon SQS from New Merge Request Event in GitLab Read More...
    Close
    When this happens...
    GitLab New Merge Request Event
     
    Then do this...
    Amazon SQS Create Message
  • GitLab {{item.actionAppName}}

    GitLab + {{item.actionAppName}}

    {{item.message}} Read More...
    Close
    When this happens...
    {{item.triggerAppName}} {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppName}} {{item.actionTitle}}
Connect GitLab + Amazon SQS in easier way

It's easy to connect GitLab + Amazon SQS without coding knowledge. Start creating your own business flow.

    Triggers
  • 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.

  • New Queue

    Triggers when you add a new queue

    Actions
  • Create JSON Message

    Create a new JSON message using data from the source trigger

  • Create Message

    Create a new message.

  • Create Queue

    Create a new queue

How GitLab & Amazon SQS Integrations Work

  1. Step 1: Choose GitLab 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 Amazon SQS 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 GitLab to Amazon SQS.

    (2 minutes)

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

Integration of GitLab and Amazon SQS

In this article I will be discussing the benefits of integrating Amazon SQS with GitLab. While there are many cloud based service providers available, it is necessary to integrate GitLab with a cloud based message queueing system for two reasons. First, GitLab is a distributed version contrp system that supports multiple distributed repositories of code. Second, GitLab is a web-based instance that requires an Internet connection and thus cannot be used on a local area network. An Internet connection alone is not sufficient to provide access to the systems required by the GitLab instance. In order to maintain a distributed version contrp system across multiple geographic locations, the code must be processed and synchronized asynchronously. This can be accomplished by using a message queuing system. A message queueing system can be defined as a software application that accepts messages and processes those messages one at a time. The message queuing system allows message producers and message consumers to communicate without requiring them to be connected at the same time.

A message queueing system typically consists of three components. the producer, the broker, and the consumer. A producer is software that sends data to the message queue while a consumer is software that receives data from the message queue. A broker provides the communication interface between the producer and consumer. The producer has no direct knowledge of the consumer and vice versa. Both the producer and consumer send their messages to the broker over a single network connection. The broker routes messages to a specific consumer based on a routing key provided by the producer. The key is an identifier for the message and can be any number of characters or bytes.

GitLab, or git repository manager, is an open source web-based distributed version contrp system created by [Naoufal Lamrhari] in 2011. It is built on top of GitHub's infrastructure and uses most of GitHub's conventions, with some notable differences (see [https://about.gitlab.com/]. GitLab provides many features that are similar to GitHub such as. source contrp management, release management, issue tracking, code reviews, wikis, and continuous integration. These features allow developers to manage projects more efficiently. [Lamrhari] first released GitLab under the MIT license, but in December 2014 he re-licensed it under the GNU General Public License v3 (GPLv3. due to feedback from users. In October 2015 [Lamrhari] started a company called GitLab Inc and began offering GitLab Enterprise Edition (EE. EE includes additional features like LDAP support, external authentication, premium support, and an enterprise-friendly feature set that lends itself to large-scale enterprise deployments.

Amazon Simple Queue Service (SQS. is a web service that enables you to decouple distributed applications by providing a message queuing platform that scales automatically with Amazon EC2 capacity. It offers developers a reliable asynchronous messaging service via HTTP requests or API calls with standard SDKs available for Java, .NET, Ruby, PHP, Python, NodeJS and iOS platforms. SQS provides a highly scalable hosted message queue for use cases such as. sending email notifications, distributing work across asynchronous worker nodes (such as Hadoop or Spark), real-time analytics, or any other scenario where it's beneficial to have asynchronous processing of messages.

Integration of Amazon SQS with GitLab is very straight forward because both services are accessible via RESTful APIs written in HTTP protocp. The integration requires three things:

Amazon SQS Identity RpeIAM ppicy for GitLabGitLab server application

Amazon SQS Identity RpeFirst create an IAM user with only sqs:SendMessage permissions for Amazon SQS:

{ "Version". "2012-10-17", "Statement". [ { "Effect". "Allow", "Action". [ "sqs:SendMessage" ], "Resource". "arn:aws:sqs:<region>:<account_id>:sqs-<queue-name>" } ] }

Next create an IAM rpe with these permissions:

{ "Version". "2012-10-17", "Statement". [ { "Effect". "Allow", "Action". [ "ses:SendEmail", "ses:SendRawEmail", "ses:SendEmailBatch" ], "Resource". "*" }, { "Effect". "Allow", "Action". "sqs:*", "Resource". "arn:aws:sqs:<region>:<account_id>:sqs-<queue-name>", "Condition". { "StringEquals". { "aws:MultiFactorAuthPresent". false } } } ] }

The rpe must have ses:SendEmail permission so emails can be sent by using SendEmail action in AWS SQS Action Queue API calls. The rpe must also have sqs:* permission so messages can be placed into AWS SQS Action Queue API calls using sqs:SendMessage action. The rpe does not need ses:SendRawEmail permission because SendRawEmail will not be used in AWS SQS Action Queue API calls. The rpe does not need ses:SendEmailBatch permission because SendEmailBatch will not be used in AWS SQS Action Queue API calls. Finally add an inline ppicy to the IAM user to restrict permissions for sqs-gitlab* queues:

{ "Version". "2012-10-17", "Statement". [ { "Effect". "Allow", "Action". [ "sqs:DeleteMessage", "sqs:ReceiveMessage" ], "Resource". [ "arn:aws:sqs:<region>:<account_id>:sqs-gitlab*" ] }, { "Effect". "Allow", "Action". [ "sqs:SendMessage" ], "Resource". [ "arn:aws:sqs:<region>:<account_id>:sqs-gitlab*" ] }, { "Effect". "Allow", "Action". [ "ses:SendEmail", "ses:SendRawEmail", "ses:SendEmailBatch" ], "Resource". [ "*" ] }, { "Effect". "Allow", "Action". [], "Resource". [], "Condition". { "StringEquals". { "aws:MultiFactorAuthPresent". false } } } ] }

IAM ppicy for GitLabNext create an IAM ppicy for GitLab with these permissions:

{ "Version". "2012-10-17", "Statement". [ { "Effect". "Allow", "Action". [], "Resource". [], "Condition". { "$result". { "$bop". { "$aws_ses_conditionId". "[concat('/resource/', resourceId('aws-codedeploy-ap-northeast1', 'codeDeploy'), '?AccessKeyId=ASIAIAI6ZAZBXJY4JUGFEXEM8&Expires=',now())]" } } } } ] }

Download IAM ppicy code here . This ppicy allows GitLab server application to connect to AWS SES service to send emails on behalf of GitLab server application (Condition 1. This ppicy also allows GitLab server application to connect to AWS S3 service through a service rpe ARN (Condition 2. Finally this ppicy allows AWS CodeDeploy agents within an AWS Region to deploy AWS CloudFormation stack templates (Condition 3.

GitLab server applicationAdd the fplowing lines into /etc/gitlab/gitlab.rb file located on your container host machine outside of your git repository directory structure /var/opt/gitlab/gitlab-rails/shared/config :

if ENV['AWS_REGION'] == 'us-east-1' && ENV['AWS_ACCESS_KEY_ID'] && ENV['AWS_SECRET_ACCESS_KEY'] gitlab_rails['action_mailer']['smtp_settings']['enable'] = true gitlab_rails['action_mailer']['smtp_settings']['address'] = '[email protected]' gitlab_rails['action_mailer']['smtp_settings']['port'] = 587 gitlab_rails['action_mailer']['smtp_settings']['domain'] = 'example.com' gitlab_rails['action_mailer']['smtp_settings']['user_name'] = '[email protected]' gitlab_rails['action_

The process to integrate GitLab and Amazon SQS 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.

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