100 lines
No EOL
4.2 KiB
JSON
100 lines
No EOL
4.2 KiB
JSON
{
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"uuid": [
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"value": "26f6be13-6309-441d-977f-eb84684b8a2f"
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"langcode": [
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"value": "en"
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}
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],
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"type": [
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{
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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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}
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"revision_timestamp": [
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{
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"value": "2025-05-11T09:00:03+00:00"
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}
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"target_uuid": "b8966985-d4b2-42a7-a319-2e94ccfbb849"
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}
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],
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"title": [
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{
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"value": "The more differences there are, the more likely there will be bugs"
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}
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],
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"created": [
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{
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"value": "2024-12-26T00:00:00+00:00"
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}
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],
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"changed": [
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{
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"value": "2025-05-11T09:00:03+00:00"
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"value": true
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"path": [
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{
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"alias": "\/daily\/2024\/12\/26\/differences",
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"langcode": "en"
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}
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],
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"body": [
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{
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"value": "\n <p>The <a href=\"https:\/\/www.oliverdavies.uk\/daily\/2024\/12\/24\/moving-changes\">harder it is to update an environment<\/a>, the less often it will be done and the more out of sync your environments will become.<\/p>\n\n<p>The more out of sync your environments are, the higher the chance there will be bugs or issues when changes are moved between environments.<\/p>\n\n<p>I've had situations where the code I wrote worked for my local database but didn't when moved to staging or production.<\/p>\n\n<p>I worked at one company where my development database was refreshed nightly, so my site was at most one day out of sync with production.<\/p>\n\n<p>I knew my code would work with the latest production data and not only the data from days, weeks or months before.<\/p>\n\n<p>It also meant that I needed to write my changes in an automated and repeatable way so they would be executed on the refreshed database and re-added instead of having to do it manually.<\/p>\n\n<p>How in sync are your environments and how similar to production is the environment you're testing against?<\/p>\n\n ",
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"format": "full_html",
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"processed": "\n <p>The <a href=\"https:\/\/www.oliverdavies.uk\/daily\/2024\/12\/24\/moving-changes\">harder it is to update an environment<\/a>, the less often it will be done and the more out of sync your environments will become.<\/p>\n\n<p>The more out of sync your environments are, the higher the chance there will be bugs or issues when changes are moved between environments.<\/p>\n\n<p>I've had situations where the code I wrote worked for my local database but didn't when moved to staging or production.<\/p>\n\n<p>I worked at one company where my development database was refreshed nightly, so my site was at most one day out of sync with production.<\/p>\n\n<p>I knew my code would work with the latest production data and not only the data from days, weeks or months before.<\/p>\n\n<p>It also meant that I needed to write my changes in an automated and repeatable way so they would be executed on the refreshed database and re-added instead of having to do it manually.<\/p>\n\n<p>How in sync are your environments and how similar to production is the environment you're testing against?<\/p>\n\n ",
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"summary": null
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}
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],
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"feeds_item": [
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{
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"imported": "1970-01-01T00:33:45+00:00",
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