eric zakariasson(@ericzakariasson)
2. Post-deploy error watch I just shipped [thing]. /loop every 5m polling my error tracker and logs...
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TL;DR · AI Summary
文章介绍了一种部署后监控错误的自动化方法，通过定期轮询错误追踪系统和日志，实现快速响应和修复。
Key Takeaways
- 每5分钟轮询错误追踪系统和日志，检测新错误组。
- 对每个新错误进行分类处理，决定是否推送热修复或标记回滚。
- 系统在错误激增时立即唤醒，确保快速响应。
Outline
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Mindmap
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查看大纲文本（无障碍 / 无 JS 友好）
- 部署后错误监控
- 监控机制
- 轮询错误追踪系统
- 轮询日志
- 错误处理
- 热修复
- 标记回滚
- 系统响应
- 错误激增时唤醒
Highlights
Key sentences worth saving and sharing.
每5分钟轮询错误追踪系统和日志，检测新错误组。
对每个新错误进行分类处理，决定是否推送热修复或标记回滚。
系统在错误激增时立即唤醒，确保快速响应。
#监控#部署#错误处理
Open original articleeric zakariasson on X: "2. Post-deploy error watch I just shipped [thing]. /loop every 5m polling my error tracker and logs for new error groups on this service, and for each new one triage it and either push a hotfix or flag for rollback. Fall back to a heartbeat but wake immediately if a new error" / X
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- Post-deploy error watch I just shipped [thing]. /loop every 5m polling my error tracker and logs for new error groups on this service, and for each new one triage it and either push a hotfix or flag for rollback. Fall back to a heartbeat but wake immediately if a new error spikes.
11:08 PM · Jun 8, 2026
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