文件名称：Practical.ELK.Stack.1484226259.pdf
文件大小：5.01MB
文件格式：PDF
更新时间：2020-02-27 10:54:36
ELK Stack
Practical ELK Stack: Build Actionable Insights and Business Metrics Using the Combined Power of Elasticsearch, Logstash, and Kibana 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. With this book you will learn 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 Who this book is for This book is for developers or DevOps Engineers interested in building systems that provide amazing insights and business metrics out of different data sources using the ELK stack. Table of Contents Chapter 1: Introduction to the ELK Stack Chapter 2: Shipping, Filtering, and Parsing Events with Logstash Chapter 3: Extending Logstash Chapter 4: Creating, Indexing, and Deleting Data Chapter 5: Searching Data Chapter 6: Mapping and Analysis Chapter 7: Data Exploration with Aggregates Chapter 8: Exploring Kibana Chapter 9: Kibana - Data Visualization Chapter 10: The Kibana Dashboard Chapter 11: Designing for Scale Chapter 12: The ELK Stack in Production Chapter 13: Real-Life Stories