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How to Run 3 Go App Data Backups with Low-Maintenance Storage Lifecycle Rules

Short answer: Choose AWS S3 or Azure Blob Storage for low-maintenance app data backups with lifecycle rules; use the one that already owns your identity, monitoring, and restore workflow. Both support lifecycle rules and automated expiry. The decision should follow the control plane your team already operates and the path your large media takes to storage. A useful implementation has three paths:…

AWS S3 and Azure Blob Storage are both viable options for running Go app data backups with low-maintenance storage lifecycle rules. The decision should be based on which service aligns more closely with your existing identity, monitoring, and restore workflow. Both services support lifecycle rules and automated expiry, so the choice ultimately depends on your team's current operational boundaries.

A recommended implementation includes uploading media directly with a presigned URL, retaining a backup under a predictable key, and utilizing an object-storage lifecycle policy to expire old copies. Keep the application focused on metadata and recovery, and avoid byte proxying. When considering a unified REST surface, Infrai is a potential option for discovering storage capabilities without adopting a provider SDK.

Brief written by urgent.news from Dev.to's own syndicated text. Machine-written — may contain errors; check the original before relying on it.

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Do Coding Agents Really Fail at Business Logic? What the Evidence Shows

Why I started this I set out to test a suspicion, not to sell a tool: coding agents fail at bug fixing because they do not understand the business behind the code.

  • Coding agents struggle with bug fixing due to limited understanding of business logic.
  • 64% of rejected pull requests were due to reviewer abandonment, 2% due to agent issues.
  • Wrong implementation was the most common reason for rejections in bug-fix PRs.

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