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<!DOCTYPE html>
<html lang="zh-cn">
<head>
<title>Hang Jiang</title>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1">
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<meta name="description" content="nodejh (Hang Jiang), Software Engineer">
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<body>
<nav class="navigation">
<a href="/posts">归档</a>
<a href="/tags">标签</a>
<a href="/about">关于</a>
<a class="button" href="https://nodejh.com/index.xml">订阅</a>
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<main class="main">
<header class="profile">
<img class="avatar" alt="avatar" src="/images/avatar.png" />
<h1>Hang Jiang</h1>
<h2>Software Engineer / Serverless / Kubernetes</h2>
</header>
<div id="list-page">
<section class="item">
<div>
<h1 class="title"><a href='/posts/druid-%E8%8E%B7%E5%8F%96%E8%BF%9E%E6%8E%A5%E5%BC%82%E5%B8%B8%E5%AF%BC%E8%87%B4%E5%BA%94%E7%94%A8%E6%8C%82%E8%B5%B7%E5%8E%9F%E5%9B%A0%E5%88%86%E6%9E%90/'>Druid 获取连接异常导致应用挂起原因分析</a></h1>
<div class ="date">
<time datetime="2021-12-20 19:53:13 +0800 CST">2021/12/20</time>
</div>
</div>
<div class="summary">1. 背景 🔗1.1 现象 🔗2021.12.16 凌晨，我们的应用数据库因故发生了主备切换，之后某个 Pod 就持续报错 GetConnectionTimeou</div>
</section>
<section class="item">
<div>
<h1 class="title"><a href='/posts/%E5%A6%82%E4%BD%95%E6%9E%84%E5%BB%BA-go-%E5%BA%94%E7%94%A8%E7%9A%84-docker-%E9%95%9C%E5%83%8F/'>如何构建 Go 应用的 Docker 镜像</a></h1>
<div class ="date">
<time datetime="2021-11-30 15:07:46 +0800 CST">2021/11/30</time>
</div>
</div>
<div class="summary">在部署 Go 应用时，我们通常会使用 Docker 镜像来部署，那么如何构建一个 Go 应用的 Docker 镜像呢？镜像构建过程中有没有什么最佳实践呢？ 这正是本文想要讲解的内容。</div>
</section>
<section class="item">
<div>
<h1 class="title"><a href='/posts/%E4%BD%BF%E7%94%A8-prometheus-grafana-%E7%9B%91%E6%8E%A7-k8s-%E4%B8%8A%E7%9A%84-spring-boot-%E5%BA%94%E7%94%A8/'>使用 Prometheus + Grafana 监控 k8s 上的 Spring Boot 应用</a></h1>
<div class ="date">
<time datetime="2021-10-26 10:20:01 +0800 CST">2021/10/26</time>
</div>
</div>
<div class="summary">背景 🔗 本文主要介绍如何使用 Prometheus 和 Grafana 可视化监控运行在 k8s 上的 Spring Boot 应用，监控指标包括 CPU、内存、线程信息、日志信息、HTTP 请求、JVM 等。 技术</div>
</section>
<section class="item">
<div>
<h1 class="title"><a href='/posts/%E4%BD%BF%E7%94%A8-kubernetes-%E8%BF%9B%E8%A1%8C-leader-%E9%80%89%E4%B8%BE/'>使用 Kubernetes 进行 Leader 选举</a></h1>
<div class ="date">
<time datetime="2021-09-16 14:33:33 +0800 CST">2021/09/16</time>
</div>
</div>
<div class="summary">概述 🔗k8s 简化了我们在集群上部署、运维应用的流程。在 k8s 上，我们可以很方便地部署一个分布式应用。以 Deployment 为例，应用就由多个 Pod 组成，基于 Pod 的伸缩能</div>
</section>
<section class="item">
<div>
<h1 class="title"><a href='/posts/flink-on-k8s-checkpoint-%E7%9A%84%E6%8C%81%E4%B9%85%E5%8C%96%E5%AD%98%E5%82%A8/'>Flink on k8s: Checkpoint 的持久化存储</a></h1>
<div class ="date">
<time datetime="2021-08-02 19:30:00 +0800 CST">2021/08/02</time>
</div>
</div>
<div class="summary">将 Flink 应用部署到 k8s 上时，为了实现任务高可用，我们就需要将 checkpoint、savepoint 以及 Job Manager meta data 等数据持久化存储下来，而不是简单地</div>
</section>
<section class="item">
<div>
<h1 class="title"><a href='/posts/flink-%E4%BB%BB%E5%8A%A1%E5%86%85%E5%AD%98%E6%B3%84%E6%BC%8F%E5%AF%BC%E8%87%B4%E9%A2%91%E7%B9%81-full-fc-%E5%AF%BC%E8%87%B4-cpu-%E6%9A%B4%E5%A2%9E%E9%97%AE%E9%A2%98%E6%8E%92%E6%9F%A5/'>Flink 任务内存泄漏导致频繁 Full FC 导致 CPU 暴增问题排查</a></h1>
<div class ="date">
<time datetime="2021-07-30 17:00:00 +0800 CST">2021/07/30</time>
</div>
</div>
<div class="summary">最近发现部署在 k8s 上的 Flink 每运行十几个小时就会卡住，导致消费延迟、上游数据积压。消费延迟较长时间后（时间不固定，可能十几分钟，也可能是一小时），</div>
</section>
<section class="item">
<div>
<h1 class="title"><a href='/posts/%E4%BB%8E%E9%9B%B6%E7%BC%96%E5%86%99%E7%AC%AC%E4%B8%80%E4%B8%AA-flink-%E5%BA%94%E7%94%A8/'>从零编写第一个 Flink 应用</a></h1>
<div class ="date">
<time datetime="2021-03-03 22:44:10 +0800 CST">2021/03/03</time>
</div>
</div>
<div class="summary">Apache Flink 是一个流计算引擎。本文主要介绍如何从零编写一个统计单词出现次数的 Flink 应用（后面简称为 WordCount）。由于 Flink 概念很多，对初学者会造成极</div>
</section>
<section class="item">
<div>
<h1 class="title"><a href='/posts/serverless-%E5%B0%86%E4%BD%BF%E5%89%8D%E5%90%8E%E7%AB%AF%E4%BB%8E%E5%88%86%E7%A6%BB%E5%86%8D%E5%BA%A6%E8%B5%B0%E5%90%91%E8%9E%8D%E5%90%88/'>Serverless 将使前后端从分离再度走向融合</a></h1>
<div class ="date">
<time datetime="2019-05-17 12:00:00 +0800 CST">2019/05/17</time>
</div>
</div>
<div class="summary">近日，Serverless 作为新兴的架构模式，与其相关的话题被讨论的如火如荼。Serverless 不需部署、配置和管理传统服务器，这一概念的</div>
</section>
<section class="item">
<div>
<h1 class="title"><a href='/posts/serverless-%E6%8E%80%E8%B5%B7%E6%96%B0%E7%9A%84%E5%89%8D%E7%AB%AF%E6%8A%80%E6%9C%AF%E5%8F%98%E9%9D%A9/'>Serverless 掀起新的前端技术变革</a></h1>
<div class ="date">
<time datetime="2019-05-15 12:00:00 +0800 CST">2019/05/15</time>
</div>
</div>
<div class="summary">最近关于 Serverless 的讨论越来越多。看似与前端关系不大的 Serverless，其实早已和前端有了颇深渊源，并且将掀起新的前端技术变革。本文主要就根据个</div>
</section>
<section class="item">
<div>
<h1 class="title"><a href='/posts/wechat-scan-qr-code-to-login/'>基于公众号的微信扫码登陆实现</a></h1>
<div class ="date">
<time datetime="2017-12-09 21:42:31 +0800 CST">2017/12/09</time>
</div>
</div>
<div class="summary">注：文中阐述的方案是一个可以解决问题但不是最优的方案。改进之处在文末。 微信扫码登陆的主要目的有两个，一是方便用户，扫码即可登陆，不需再记忆帐</div>
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