Migrate content to YAML
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content/node.461af26d-2006-48e4-9aec-6eb2db31d4ef.yml
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content/node.461af26d-2006-48e4-9aec-6eb2db31d4ef.yml
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uuid:
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- value: 461af26d-2006-48e4-9aec-6eb2db31d4ef
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langcode:
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- value: en
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type:
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- target_id: daily_email
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target_type: node_type
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target_uuid: 8bde1f2f-eef9-4f2d-ae9c-96921f8193d7
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revision_timestamp:
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- value: '2025-05-11T09:00:34+00:00'
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revision_uid:
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- target_type: user
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target_uuid: b8966985-d4b2-42a7-a319-2e94ccfbb849
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revision_log: { }
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status:
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- value: true
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uid:
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- target_type: user
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target_uuid: b8966985-d4b2-42a7-a319-2e94ccfbb849
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title:
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- value: |
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Deployments with your CI pipeline
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created:
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- value: '2023-08-22T00:00:00+00:00'
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changed:
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- value: '2025-05-11T09:00:34+00:00'
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promote:
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- value: false
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sticky:
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- value: false
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default_langcode:
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- value: true
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revision_translation_affected:
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- value: true
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path:
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- alias: /daily/2023/08/22/deployments-with-your-ci-pipeline
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langcode: en
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body:
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- value: |
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<p>You have a CI pipeline in your project.</p>
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<p>Every time you push a commit, the CI pipeline runs and performs its checks.</p>
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<p>It runs the automated tests and verifies they pass, statically analyses the code to identify any issues and validates the code follows the correct coding style and standards.</p>
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<p>Everything passes.</p>
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<h2 id="what-next%3F">What next?</h2>
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<p>If the pipeline passes, your change is deployable.</p>
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<p>So, why not extend the pipeline to deploy the change once the checks pass?</p>
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<p>If the checks don't pass, don't deploy.</p>
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<p>It could be as simple as pushing the code to an S3 bucket, a separate Git branch or repository for managing deployments, or creating an artifact like a Docker image.</p>
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<p>Instead of waiting for someone to do this manually, remove a step and automate it within the pipeline.</p>
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<p>The sooner it's deployed, the sooner it provides value for your application's users.</p>
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format: full_html
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processed: |
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<p>You have a CI pipeline in your project.</p>
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<p>Every time you push a commit, the CI pipeline runs and performs its checks.</p>
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<p>It runs the automated tests and verifies they pass, statically analyses the code to identify any issues and validates the code follows the correct coding style and standards.</p>
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<p>Everything passes.</p>
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<h2 id="what-next%3F">What next?</h2>
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<p>If the pipeline passes, your change is deployable.</p>
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<p>So, why not extend the pipeline to deploy the change once the checks pass?</p>
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<p>If the checks don't pass, don't deploy.</p>
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<p>It could be as simple as pushing the code to an S3 bucket, a separate Git branch or repository for managing deployments, or creating an artifact like a Docker image.</p>
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<p>Instead of waiting for someone to do this manually, remove a step and automate it within the pipeline.</p>
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<p>The sooner it's deployed, the sooner it provides value for your application's users.</p>
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summary: null
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field_daily_email_cta: { }
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