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.
What You'll Learn
- Understand the need for log analytics, and current challenges
- Perform real-time data analytics on streaming data, and turn them into actionable insights
- Create indexing and delete data
- Understand the different components of ELK (Elasticsearch, Logstash, and Kibana) stack
- Understand Shipping, Filtering, and Parsing Events with Logstash
- Build amazing visualizations and dashboards using Data Discovery, Visualization, and Dashboard with Kibana
Who 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
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