Build and Deploy Using Bitbucket Pipelines ⭐️

Before you begin setting up Bitbucket pipelines, you have to ensure that you already have a pre-configured Bitbucket cloud account and at least one repository in your Bitbucket workspace. You can configure your Bitbucket pipelines in two ways: writing the YAML file directly or using the Bitbucket UI wizard. The steps given below will help you through the Pipelines configuration wizard.

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• Initially, go to your Bitbucket account and click on Pipelines in the left side panel.
• Click on “Create your first pipeline.”
• Now, you are asked to choose an appropriate template in the template section. The template comes with a number of pre-configured use cases for applications, microservices, mobile IaaS, and serverless development. Bitbucket is compatible with major cloud providers such as AWS, Azure, and Google Cloud Platform, as well as the most popular programming languages such as NodeJS, PHP, Java, Python, and .NET Core. However, based on the language configured in your Bitbucket repository, the template description automatically suggests templates in that language.

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• Select one of the templates available in the template section. If you’re not sure about the template options, go with the RECOMMENDED option.
• After selecting a template, you will be taken to the YAML editor, where you can configure your Bitbucket pipeline.
• Your Bitbucket pipelines build configuration is defined in the built-in bitbucket pipelines.yml file that is located at the root of your repository.

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• You can write scripts to develop and deploy your projects and configure caches to speed up builds with a basic pipeline configuration. You can also define different images for each stage to manage various dependencies across actions in your Bitbucket pipeline. A pipeline is composed of a series of steps, and multiple pipelines can be defined in the configuration file. A pipeline has to be configured under the default section, and multiple sections of the pipeline configuration file can be identified by specific keywords, as shown in the above image.
• The configuration file must include at least one pipeline section, which must have at least one step and one script within the step. There must be 4 GB of memory available for each step. A pipeline can contain up to 100 steps, and each step in your pipeline should run in its own Docker container. However, you can use different types of containers for each step by selecting different images.

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• Now, configure your Bitbucket pipeline in the YAML editor, as shown in the above image.

How to Change Template in Bitbucket Pipelines?

You can change the template at any time to change the use case by opening the dropdown menu and selecting another template. Take into account that if you select a new template, the existing content will be overwritten.

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How to Add more Steps in Bitbucket Pipelines?

Now, you can also add pipes to your pipeline configuration. Pipes make it simple to configure a pipeline with a variety of third-party tools like AWS, Firebase, and SonarCloud.

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How to Add Pipes to Bitbucket Pipelines?

To include pipes in your Bitbucket pipeline, simply select the pipe you want to use, copy the code snippet of the pipe, and paste it into the editor. There are dozens of pipes available in Bitbucket, and you can see the entire list by clicking Explore more pipes, as shown in the above image.

There are two ways to add pipes to your pipeline. One is using the online editor or directly editing the configuration file. When you are using the online editor to add pipes, open up your bitbucket-pipelines.yml file in the editor and select the pipe you need to add to the Bitbucket pipeline. Then, copy the pipe and paste it into the script section of your step. Then, add your specific values in single quotes and un-comment any optional variables you want to use. After adding pipe, your pipeline is all set to execute in Bitbucket.

If you are about to edit the configuration directly for adding pipes, you can add the task details to your bitbucket-pipelines.yml file using your preferred editor. The README.md file in each of the available pipes contains instructions on how to use the pipe as well as lines that you can copy and paste into your bitbucket-pipelines.yml file. While you are in the pipe repo, take a look at the scripts to see what the pipe is up to behind the scenes.

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