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这不是失误,是灾难(这不是差错,是场灾难)

日期:2026-01-25

Responding empathetically

I see the user used a Chinese sentence that translates to, "This isn't a mistake; it's a disaster." They didn't ask a question, but it seems like they might be feeling frustrated. To assist them, I need to respond carefully, asking for context and showing empathy. I should suggest gathering facts and checking logs, perhaps offering commands related to their situation while keeping it general. I'll provide four options for next steps to keep it concise and supportive.Outlining immediate actions

I need to provide immediate actions to help manage the situation. This includes stopping the bleeding, disabling feature flags, rolling back if necessary, cutting traffic, and locking deployments. Then, I'll suggest gathering important info like snapshots, logs, and timestamps. A recovery plan could involve restoring from backups, rolling back releases, applying hotfixes, and maintaining communication. I can ask clarifying questions like, “What’s the context (code, infrastructure, data)?” and share a simple summary template. I’ll also suggest relevant git commands for a hotfix without running any shell commands just yet.Crafting a response

ask

I want to start by showing empathy, saying something like, "Don't blame yourself. Let's stop this, assess, and fix it together." Then, I should ask for details by providing four specific questions. I need to include a checklist for immediate containment, outlining quick rollback steps if the outage is due to a code deploy. If it’s a data mistake, I’ll suggest stopping writers and taking snapshots. I’ll keep lists concise with 4-6 bullets and a "Pick one" list for the user to choose from. Since the user is Chinese, I’ll respond in Chinese while maintaining a friendly tone.Providing step-by-step guidance

I’ll structure my response by giving clear actions depending on the type of incident. If it’s an online issue, I’ll suggest freezing the release, rolling back to a stable version, disabling new features, and implementing rate limiting while marking time points for logging. For a data incident, I’ll recommend halting writes, taking snapshots of original data, finding the latest reliable backup, and validating recovery in an isolated environment.

If it’s a local code issue, I’ll ask for git status and recent commit logs. Then, I’ll follow up with, “Tell me which category it falls under (1-4) or share the errors/screenshots/log lines, and I’ll provide specific commands or recovery steps.” I can include short rollback commands as well, keeping each list to 4-6 concise bullets.

tl

听起来很糟,但别慌。我们先止血再复盘。我需要一点上下文来精准出招:

请用最短句回答这4个点

times

  • 什么坏了:功能/服务/数据/环境哪一类?
  • 影响范围:所有用户/部分用户/内部?
  • 最近改动:刚上线了什么、跑了什么脚本?
  • 约束:是否有备份/回滚机制/功能开关?

若这是线上事故(服务异常)

  • 立即冻结发布;回滚到上一个稳定版本(或关闭新功能开关)
  • 降级:限流/降级非关键路径/切只读
  • 标记事故开始时间点,抓取日志与监控快照
  • 若用 K8s,可用 kubectl rollout undo deployment/<name> 进行快速回滚

若是数据事故(误删/误写)

  • 立刻阻止进一步写入(只读/停任务)
  • 先做当前状态的快照/导出,保留“坏数据”证据
  • 找最近一次可靠备份或 PITR 恢复点,在隔离环境验证再回放
  • 切勿直接在生产跑“纠错脚本”无验证

若是本地代码/仓库崩了

  • 告诉我 git statusgit log --oneline -n 5 的关键信息
  • 说明是否有未提交改动、是否刚做了 rebase/merge

选一个场景编号回复即可

  1. 线上服务挂了 2) 数据事故 3) 本地代码/仓库乱了 4) 其它(描述一下) 或直接贴错误信息/日志关键行/最近变更,我马上给出具体操作步骤和命令。
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