Practical ELK Stack: Build Actionable Insights and Business Metrics Using the Combined Power of Elasticsearch, Logstash, and Kibana
暫譯: 實用的 ELK 堆疊:利用 Elasticsearch、Logstash 和 Kibana 的結合力量構建可行的洞察和商業指標
Gurpreet S. Sachdeva
- 出版商: Apress
- 出版日期: 2017-01-29
- 售價: $1,770
- 貴賓價: 9.5 折 $1,682
- 語言: 英文
- 頁數: 302
- 裝訂: Paperback
- ISBN: 1484226259
- ISBN-13: 9781484226254
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商品描述
Use the ELK (Elasticsearch, Logstash, and Kibana) stack to build systems that provide actionable insights and business metrics from data sources, including creating amazing visualizations and dashboards. Learn how to set up the ELK stack, build a data pipeline, and create customized plugins.
Practical ELK Stack will teach you to configure the software, install tools, and build a data pipeline. You will learn the key features of Logstash and its role in the ELK stack, including creating Logstash plugins, which will enable you to use your own customized plugins. The importance of Elasticsearch and Kibana in the ELK stack is covered, along with various types of advanced data analysis, including charts, tables, and maps.
The simple and powerful nature of ELK stack has contributed to its quick adoption. Diverse scenarios are covered, ranging from social media analysis to grid monitoring at CERN. You will see how ELK stack is being used at companies such as Facebook, Github, and Netflix.
- The need for log analytics, and current challenges
- How to perform real-time data analytics on streaming data, and turn them into actionable insights
- How to create indexing and delete data
- The different components of ELK (Elasticsearch, Logstash, and Kibana) stack
- Shipping, Filtering, and Parsing Events with Logstash
- How to build amazing visualizations and dashboards using Data Discovery, Visualization, and Dashboard with Kibana
商品描述(中文翻譯)
使用 ELK(Elasticsearch、Logstash 和 Kibana)堆疊來構建系統,從數據來源中提供可行的見解和業務指標,包括創建驚人的可視化和儀表板。學習如何設置 ELK 堆疊、構建數據管道以及創建自定義插件。
實用 ELK 堆疊將教您如何配置軟體、安裝工具和構建數據管道。您將學習 Logstash 的關鍵功能及其在 ELK 堆疊中的角色,包括創建 Logstash 插件,這將使您能夠使用自己的自定義插件。書中還將涵蓋 Elasticsearch 和 Kibana 在 ELK 堆疊中的重要性,以及各種高級數據分析類型,包括圖表、表格和地圖。
ELK 堆疊的簡單而強大的特性促進了其快速採用。涵蓋了多種場景,從社交媒體分析到 CERN 的網格監控。您將看到 ELK 堆疊如何在 Facebook、Github 和 Netflix 等公司中被使用。
- 日誌分析的需求及當前挑戰
- 如何對串流數據進行實時數據分析,並將其轉化為可行的見解
- 如何創建索引和刪除數據
- ELK(Elasticsearch、Logstash 和 Kibana)堆疊的不同組件
- 使用 Logstash 進行事件的傳輸、過濾和解析
- 如何使用 Kibana 的數據發現、可視化和儀表板創建驚人的可視化和儀表板