https://hangliuc.github.io/topic/interview/experience/Recent content in 面试经历 on HRunningHugo -- gohugo.iozh-cnHRunningThu, 10 Sep 2026 06:54:52 +0000https://hangliuc.github.io/topic/interview/experience/%E6%BB%B4%E6%BB%B4%E8%BF%90%E7%BB%B4%E5%BC%80%E5%8F%91%E5%B7%A5%E7%A8%8B%E5%B8%88/Tue, 02 Dec 2025 15:20:45 +0800https://hangliuc.github.io/topic/interview/experience/%E6%BB%B4%E6%BB%B4%E8%BF%90%E7%BB%B4%E5%BC%80%E5%8F%91%E5%B7%A5%E7%A8%8B%E5%B8%88/<img src="https://hangliuc.github.io/img/cover/interview_cover.webp" alt="Featured image of post 面试 | 滴滴运维开发工程师" /><h2 id="tcp-的连接方式">TCP 的连接方式 </h2><h2 id="502504区别">502、504区别 </h2><h2 id="常用的网络命令">常用的网络命令 </h2><h2 id="如何查看80端口的进程id">如何查看80端口的进程ID </h2><h2 id="你对稳定性方面做了哪些东西">你对稳定性方面做了哪些东西 </h2>https://hangliuc.github.io/topic/interview/experience/%E6%99%BA%E8%B0%B1%E5%8D%8E%E7%AB%A0%E8%BF%90%E7%BB%B4%E5%B7%A5%E7%A8%8B%E5%B8%88/Tue, 02 Dec 2025 15:20:29 +0800https://hangliuc.github.io/topic/interview/experience/%E6%99%BA%E8%B0%B1%E5%8D%8E%E7%AB%A0%E8%BF%90%E7%BB%B4%E5%B7%A5%E7%A8%8B%E5%B8%88/<img src="https://hangliuc.github.io/img/cover/interview_cover.webp" alt="Featured image of post 面试 | 智谱华章运维工程师" /><h2 id="ls-按照时间排序">ls 按照时间排序 </h2><h2 id="两个文件如何按照行diff">两个文件如何按照行diff </h2><h2 id="awk-获取最后一行">awk 获取最后一行 </h2><h2 id="k8s-中几种探针方式">k8s 中几种探针方式 </h2><h2 id="k8s集群组件">k8s集群组件 </h2><h2 id="创建-pod-的过程">创建 pod 的过程 </h2><h2 id="ingrss-创建方式">ingrss 创建方式 </h2><h2 id="dockerfile-中-add-copy区别">dockerfile 中 add 、copy区别 </h2><h2 id="如何减少镜像体积">如何减少镜像体积 </h2><h2 id="如何将运行的容器打印成镜像">如何将运行的容器打印成镜像 </h2><h2 id="cicd的设计流程">CICD的设计流程 </h2>https://hangliuc.github.io/topic/interview/experience/%E7%99%BE%E5%BA%A6%E4%BF%A1%E6%81%AF%E5%AE%89%E5%85%A8%E8%BF%90%E7%BB%B4/Tue, 02 Dec 2025 15:19:58 +0800https://hangliuc.github.io/topic/interview/experience/%E7%99%BE%E5%BA%A6%E4%BF%A1%E6%81%AF%E5%AE%89%E5%85%A8%E8%BF%90%E7%BB%B4/<img src="https://hangliuc.github.io/img/cover/interview_cover.webp" alt="Featured image of post 面试 | 百度信息安全运维" /><h2 id="pod-可能存在哪些状态">pod 可能存在哪些状态 </h2><h2 id="你们告警架构">你们告警架构 </h2><h2 id="counter和gauge-区别什么场景下用counter">Counter和Gauge 区别？什么场景下用Counter </h2><h2 id="502504区别">502、504区别 </h2><h2 id="1921681025-所有的ip地址范围">192.168.1.0/25 所有的IP地址范围 </h2><h2 id="一台机器如何放行80拒绝所有端口">一台机器如何放行80，拒绝所有端口 </h2><h2 id="python-使用装饰器统计函数运行时间">python 使用装饰器统计函数运行时间 </h2><div class="highlight"><div class="chroma"> <table class="lntable"><tr><td class="lntd"> <pre tabindex="0" class="chroma"><code><span class="lnt"> 1 </span><span class="lnt"> 2 </span><span class="lnt"> 3 </span><span class="lnt"> 4 </span><span class="lnt"> 5 </span><span class="lnt"> 6 </span><span class="lnt"> 7 </span><span class="lnt"> 8 </span><span class="lnt"> 9 </span><span class="lnt">10 </span><span class="lnt">11 </span><span class="lnt">12 </span><span class="lnt">13 </span><span class="lnt">14 </span><span class="lnt">15 </span><span class="lnt">16 </span><span class="lnt">17 </span><span class="lnt">18 </span><span class="lnt">19 </span><span class="lnt">20 </span><span class="lnt">21 </span><span class="lnt">22 </span><span class="lnt">23 </span></code></pre></td> <td class="lntd"> <pre tabindex="0" class="chroma"><code class="language-python" data-lang="python"><span class="line"><span class="cl"><span class="kn">import</span> <span class="nn">time</span> </span></span><span class="line"><span class="cl"><span class="kn">from</span> <span class="nn">functools</span> <span class="kn">import</span> <span class="n">wraps</span> </span></span><span class="line"><span class="cl"> </span></span><span class="line"><span class="cl"><span class="k">def</span> <span class="nf">timer_decorator</span><span class="p">(</span><span class="n">func</span><span class="p">):</span> </span></span><span class="line"><span class="cl"> <span class="nd">@wraps</span><span class="p">(</span><span class="n">func</span><span class="p">)</span> <span class="c1"># 保留原函数的元信息</span> </span></span><span class="line"><span class="cl"> <span class="k">def</span> <span class="nf">wrapper</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span> </span></span><span class="line"><span class="cl"> <span class="n">start_time</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">perf_counter</span><span class="p">()</span> <span class="c1"># 高精度计时开始</span> </span></span><span class="line"><span class="cl"> <span class="n">result</span> <span class="o">=</span> <span class="n">func</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span> <span class="c1"># 执行原函数并获取结果</span> </span></span><span class="line"><span class="cl"> <span class="n">end_time</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">perf_counter</span><span class="p">()</span> <span class="c1"># 计时结束</span> </span></span><span class="line"><span class="cl"> <span class="n">elapsed</span> <span class="o">=</span> <span class="n">end_time</span> <span class="o">-</span> <span class="n">start_time</span> </span></span><span class="line"><span class="cl"> <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&#34;函数 </span><span class="si">{</span><span class="n">func</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s2"> 执行耗时: </span><span class="si">{</span><span class="n">elapsed</span><span class="si">:</span><span class="s2">.4f</span><span class="si">}</span><span class="s2"> 秒&#34;</span><span class="p">)</span> </span></span><span class="line"><span class="cl"> <span class="k">return</span> <span class="n">result</span> <span class="c1"># 返回原函数结果</span> </span></span><span class="line"><span class="cl"> <span class="k">return</span> <span class="n">wrapper</span> </span></span><span class="line"><span class="cl"> </span></span><span class="line"><span class="cl"> </span></span><span class="line"><span class="cl"><span class="nd">@timer_decorator</span> </span></span><span class="line"><span class="cl"><span class="k">def</span> <span class="nf">add_numbers</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="p">):</span> </span></span><span class="line"><span class="cl"> <span class="n">time</span><span class="o">.</span><span class="n">sleep</span><span class="p">(</span><span class="mf">0.5</span><span class="p">)</span> <span class="c1"># 模拟耗时操作</span> </span></span><span class="line"><span class="cl"> <span class="k">return</span> <span class="n">a</span> <span class="o">+</span> <span class="n">b</span> </span></span><span class="line"><span class="cl"> </span></span><span class="line"><span class="cl"><span class="c1"># 调用函数，自动计时</span> </span></span><span class="line"><span class="cl"><span class="n">sum_result</span> <span class="o">=</span> <span class="n">add_numbers</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">)</span> </span></span><span class="line"><span class="cl"><span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&#34;计算结果: </span><span class="si">{</span><span class="n">sum_result</span><span class="si">}</span><span class="s2">&#34;</span><span class="p">)</span> </span></span></code></pre></td></tr></table> </div> </div>https://hangliuc.github.io/topic/interview/experience/%E5%AD%97%E8%8A%82%E5%9B%BD%E9%99%85%E7%94%B5%E5%95%86sre/Tue, 02 Dec 2025 15:19:21 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