Bitbucket and Cloudinary Integration

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Automatically upload and manage assets from Bitbucket repos to Cloudinary. Latenode’s visual editor and JavaScript nodes let you build custom, production-ready pipelines at scale, while saving costs with execution-based pricing.

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Bitbucket

Cloudinary

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Bitbucket and Cloudinary

Create a New Scenario to Connect Bitbucket and Cloudinary

In the workspace, click the “Create New Scenario” button.

Add the First Step

Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Bitbucket, triggered by another scenario, or executed manually (for testing purposes). In most cases, Bitbucket or Cloudinary will be your first step. To do this, click "Choose an app," find Bitbucket or Cloudinary, and select the appropriate trigger to start the scenario.

Add the Bitbucket Node

Select the Bitbucket node from the app selection panel on the right.

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Configure the Bitbucket

Click on the Bitbucket node to configure it. You can modify the Bitbucket URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Run node once

Add the Cloudinary Node

Next, click the plus (+) icon on the Bitbucket node, select Cloudinary from the list of available apps, and choose the action you need from the list of nodes within Cloudinary.

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Authenticate Cloudinary

Now, click the Cloudinary node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Cloudinary settings. Authentication allows you to use Cloudinary through Latenode.

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Configure the Bitbucket and Cloudinary Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Run node once

Set Up the Bitbucket and Cloudinary Integration

Use various Latenode nodes to transform data and enhance your integration:

  • Branching: Create multiple branches within the scenario to handle complex logic.
  • Merging: Combine different node branches into one, passing data through it.
  • Plug n Play Nodes: Use nodes that don’t require account credentials.
  • Ask AI: Use the GPT-powered option to add AI capabilities to any node.
  • Wait: Set waiting times, either for intervals or until specific dates.
  • Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
  • Iteration: Process arrays of data when needed.
  • Code: Write custom code or ask our AI assistant to do it for you.
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Save and Activate the Scenario

After configuring Bitbucket, Cloudinary, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.

Test the Scenario

Run the scenario by clicking “Run once” and triggering an event to check if the Bitbucket and Cloudinary integration works as expected. Depending on your setup, data should flow between Bitbucket and Cloudinary (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Bitbucket and Cloudinary

Bitbucket + Cloudinary + Slack: When a new commit is made in Bitbucket, fetch the relevant file, upload it to Cloudinary for transformation, and then send a message to a Slack channel with the updated image link.

Cloudinary + Bitbucket + Jira: When a new resource is tagged in Cloudinary, indicating a potential image issue, create a bug ticket in Jira and link to the relevant Bitbucket repository in the issue description.

Bitbucket and Cloudinary integration alternatives

About Bitbucket

Automate code deployments and issue tracking by connecting Bitbucket to Latenode. Trigger workflows on commit events, automatically update project management tools, and send notifications. Latenode provides a visual editor, affordable scaling, and custom JS nodes for complex branching and data transformation. Streamline your DevOps pipeline with flexible automation.

About Cloudinary

Automate image and video optimization with Cloudinary in Latenode. Resize, convert, and deliver media assets based on triggers or data from any app. Streamline content workflows by integrating Cloudinary’s powerful transformations directly into your automated processes, reducing manual work. Scale efficiently and pay only for execution time.

See how Latenode works

FAQ Bitbucket and Cloudinary

How can I connect my Bitbucket account to Cloudinary using Latenode?

To connect your Bitbucket account to Cloudinary on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Bitbucket and click on "Connect".
  • Authenticate your Bitbucket and Cloudinary accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically optimize images stored in Bitbucket using Cloudinary?

Yes, you can! Latenode allows you to watch Bitbucket repos for new images and automatically optimize them using Cloudinary, freeing up developer time and improving website performance.

What types of tasks can I perform by integrating Bitbucket with Cloudinary?

Integrating Bitbucket with Cloudinary allows you to perform various tasks, including:

  • Automatically upload new repository images to Cloudinary.
  • Generate image previews for Bitbucket commit messages.
  • Synchronize image assets between your repository and Cloudinary.
  • Trigger Cloudinary transformations on commit or merge events.
  • Create backups of Cloudinary assets in your Bitbucket repository.

How does Latenode handle authentication for Bitbucket and Cloudinary?

Latenode uses secure OAuth to authenticate Bitbucket and Cloudinary, ensuring that your credentials are never directly stored within the platform.

Are there any limitations to the Bitbucket and Cloudinary integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Large file transfers may be subject to rate limits imposed by Bitbucket.
  • Complex image transformations can consume Cloudinary credits.
  • Initial synchronization of large repositories might take some time.

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