ELK stack is like a rockstar band with Elastic Search, Log Stash, and Kibana. Elastic Search is the lead singer and analytics engine, Log Stash is the data collector and transformer, and Kibana is the visualizer. We’re setting up this concert with a step-by-step guide, so get ready for some mind-blowing analytics and insights! 🎸🔍
Introduction
In this tutorial, we will be diving into the world of ELK stack, which consists of Elastic Search, Logstash, and Kibana. Elastic Search is a powerful search and analytics engine, while Logstash is used for collecting, transforming, and sending data to the desired destination. Kibana, on the other hand, is a data visualization and exploration tool used for login time series analysis.
Understanding ELK Stack
The ELK stack is also known as the Elastic Stack, and we will be installing all three components using a simplified guide. The tutorial will cover each step in detail, making it easy to follow along.
Getting Started
First, let’s select the appropriate LTS and dedicated memory for the installation. It’s recommended to create an Akamai account using the provided link to get $100 60-day credit and access everything for free.
Installing Components
We’ll begin by updating and upgrading the system, followed by the installation of Java, which is necessary for Logstash. Subsequently, we will install Elastic Search and ensure the required memory setup.
Enabling Elastic Search
Once Elastic Search is installed, we’ll enable the Elastic Search service and check its status. Moving on, we’ll install Logstash and Kibana, creating necessary files and configurations along the way.
Working with Apache
To work with Apache logs, we’ll install Apache and generate access logs to ensure data is being forwarded to Elastic Search. We’ll also create an index pattern in Kibana to analyze and visualize the received logs.
Conclusion
By the end of this tutorial, you’ll have ELK stack installed and operational on your system. You can now efficiently manage, analyze, and visualize data using Elastic Search, Logstash, and Kibana.
Key Takeaways
- ELK stack consists of Elastic Search, Logstash, and Kibana, used for search, data processing, and visualization, respectively.
- Installing ELK stack requires the installation and configuration of each component, including setting up memory and creating necessary files and configurations.
I hope you found this tutorial helpful in installing ELK stack. Stay tuned for more informative content on ELK stack in our upcoming tutorials!
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