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Connect AWS to GitLab

Automate workflows between AWS and GitLab. No coding required.

5-minute setupNo code required100 actions included
Popular Workflows

What you can automate between AWS and GitLab

These are the most popular automations teams set up between AWS and GitLab. Each one runs automatically once activated — no manual steps.

#1

Create issue when webhook received

Open a new issue or bug report automatically when when an http request is received.

TriggerWebhook received in AWS
ActionCreate issue in GitLab
#2

Send webhook when new commit pushed

Make an HTTP request automatically when when code is committed to the repository.

TriggerNew commit pushed in GitLab
ActionSend webhook in AWS
#3

Sync AWS changes to GitLab

Keep GitLab updated when when a monitoring alert fires.

TriggerAlert triggered in AWS
ActionUpdate issue in GitLab
How Data Flows

What syncs between AWS and GitLab

When an event occurs in AWS, the relevant data is automatically sent to GitLab. Arahi maps the fields between both apps so the data arrives in the right format — no manual formatting or exports required.

AWS

Data from AWS

  • Events
  • Logs
  • Resource status
  • Alerts
  • Configuration data
GitLab

Data from GitLab

  • Issues / PRs
  • Commits
  • Project items
  • Labels / tags
  • Assignees
Step-by-Step Guide

How to connect AWS to GitLab

Follow these steps to set up your integration. The entire process takes under 5 minutes.

What you'll need

  • An active AWS account with API credentials
  • An active GitLab account with repository access
  • A free Arahi AI account (sign up takes 30 seconds)
1

Create your Arahi AI account

Sign up at app.arahi.ai — it's free and takes 30 seconds. No credit card required. You'll land on the dashboard where you can create your first workflow.

2

Authenticate AWS

Click "Add Connection" and select AWS from the app directory. You'll be redirected to AWS's authorization page. Grant Arahi access to your cloud resources and services. You select which services and regions the integration can interact with.

3

Authenticate GitLab

Same process for GitLab. Click "Add Connection," select GitLab, and authorize access. Grant Arahi access to your repositories, issues, and project data. You control which repos and projects the integration can access.

4

Choose your trigger

Select what event starts the workflow. For this integration, popular triggers include: webhook received in aws or new commit pushed in gitlab. The trigger fires automatically whenever that event happens — no manual intervention.

5

Configure the action

Define what happens when the trigger fires. For example: create issue in gitlab. Map the data fields between AWS and GitLab so the right information lands in the right place.

6

Test and activate

Run a test to confirm data flows correctly between AWS and GitLab. Check that the fields map as expected, then toggle the workflow on. It runs 24/7 from here — Arahi handles retries, error logging, and monitoring automatically.

Benefits

Why connect AWS and GitLab?

Manually moving data between AWS and GitLab is error-prone and eats into your team's productive hours. Connecting them through Arahi eliminates that overhead — events in one app trigger actions in the other automatically.

Trigger AWS deployments automatically when GitLab code merges to main
Monitor AWS service health and post status updates to GitLab issues
Create GitLab issues when AWS alerts fire for faster incident response
Automate your CI/CD pipeline between GitLab repositories and AWS services
Tips

Tips for your AWS + GitLab integration

Get more out of this integration with these best practices.

Filter events by severity to only trigger on critical alerts
Filter by label or project to avoid processing every repo event
Use structured event data to route notifications to the right team
Use PR merge events as triggers for deployment-related automations
Use Cases

Who uses the AWS + GitLab integration?

Teams across industries connect AWS and GitLab to streamline their workflows.

SREs monitoring uptime who rely on GitLab for developer tools

Engineering teams who need real-time data from AWS

Platform engineering and engineering teams collaborating across tools

FAQ

Frequently asked questions

Everything you need to know about connecting AWS and GitLab.

How do I connect AWS to GitLab?

Sign up for a free Arahi AI account, then click "Add Connection" to authenticate both AWS and GitLab via OAuth. Choose a workflow template — like syncing infrastructure & cloud events to developer tools actions — customize the field mapping, and activate. The entire setup takes under 5 minutes.

What can I automate between AWS and GitLab?

You can automate a wide range of workflows: sync new AWS events to GitLab actions, trigger GitLab updates when AWS data changes, create GitLab records from AWS events, and build conditional workflows with filters and field mapping. Each workflow runs 24/7 with automatic retries.

Is the AWS and GitLab integration free?

Arahi AI includes 100 free actions per month on the Starter plan — enough for most small teams. If your AWS-to-GitLab workflows need more volume, paid plans start at $29/month with unlimited workflows and priority execution.

Is my AWS data secure when connected to GitLab?

Yes. Arahi uses OAuth 2.0 for authentication — we never store your AWS or GitLab passwords. All data is encrypted in transit (TLS 1.3) and at rest (AES-256). Your infrastructure & cloud data is only accessed when a workflow runs, and you can revoke access at any time from your Arahi dashboard.

Can I sync data both ways between AWS and GitLab?

Yes. You can set up workflows that trigger from either AWS or GitLab. For example, create a workflow where AWS events update GitLab, and a separate one where GitLab changes sync back to AWS. Each direction is configured independently so you have full control.

Do I need technical skills to connect AWS and GitLab?

No coding is required. Arahi's visual workflow builder lets you configure triggers, actions, and field mapping with clicks. If you can use AWS and GitLab, you can set up the integration. Most users are running their first workflow within 10 minutes.

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