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所在平台: Udemy |
课程主页: https://www.udemy.com/course/elasticsearch-101/
课程评论：没有评论
## Elastic Stack 101 课程总结 本课程是为初学者设计，旨在提供一个关于 Elastic Stack 的入门指南。课程采用动手实践（hands-on）的方式，重点关注 Elastic Stack 的部署和管理。 **目标受众：** * **DevOps 专业人士：** 负责部署和管理 Elasticsearch 集群。 * **IT 支持工程师：** 负责支持 Elastic Stack 的部署。 * **软件开发人员：** 需要了解 Elasticsearch 集群的部署和管理方式。 **课程内容概述：** 1. **基础知识回顾：** * 企业环境中遇到的不同类型数据。 * 关系型数据库与非关系型数据库的区别。 * JSON 和 REST API 的基本概念。 2. **Elastic Stack 概览：** * 从宏观角度介绍 Elasticsearch 和 Elastic Stack。 3. **动手实践：** * **实验环境搭建：** 准备学习所需的环境。 * **Elasticsearch 集群部署：** 学习多种方式来部署 Elasticsearch 集群。 * **数据导入与 Kibana 初体验：** * 通过 Kibana 集成导入少量数据。 * 初步了解 Kibana 的使用。 * **Logstash 数据处理：** * 学习 Logstash 作为数据转换和摄取工具。 * 使用 Logstash pipeline 摄取 CSV 数据。 4. **Elasticsearch 8.x 介绍与部署：** * 介绍 Elasticsearch 8.x 版本的新特性。 * 在一台节点上部署 Elasticsearch 8.x 集群。 5. **Elastic Agent 安装与实践：** * 安装 Elastic Agent，一个用于将各类日志从应用服务器发送到 Elasticsearch 的统一代理。 通过本课程，学员将能够独立部署、管理和使用 Elastic Stack，从而有效地处理和分析数据。
HiWelcome to my course Elastic Stack 101, a beginners guide to elastic stack , this is a hands on course with focus on deployment and management of elastics stack.This course adopts a hands on approach towards learning and is focused towardsDevOps professionals who will be responsible to deploy and manage elasticsearch clustersIT Support engineers that will be responsible for supporting elastic stack deploymentsand it might benefit software developers if they need an understanding of how Elasticsearch clusters are deployed and managedIn this course , we will start with some basics such as what are the different types of data that you will encounter in an enterprise environment and then we will look at the difference between relational and non-relational databases before moving on to have an understanding of JSON and Rest APIs.After you have the pre-requisite knowledge which is essential if you want to work on elastic search we will look at elastic search and elastic stack from a birds eye view and then it is time to get your hands dirty, first we will setup our lab environment and then we will look at how you can provision an elastic search cluster in different ways , we will follow this up by adding some data into our cluster through kibana integrations and have a general feel of kibana. Next , we will look at Logstash an essential component of elastic stack if you want to transform your data and ingest some csv data by using Logstash pipelines.In the final section we will look at what's changed in elasticsearch version 8 and then deploy v8 cluster on a single node.Finally , we will install elastic agent which is a single agent needed to ship any type of logs from your applications servers to Elasticsearch.
