In this Splunk tutorial, you will learn Splunk from the basics to get a clear idea of why Splunk is the go-to tool when it comes to machine-generated data. Splunk is a powerful engine extensively used for searching, investigating, monitoring, troubleshooting, alerting, and reporting on machine-generated data which is such a big part of today’s data-driven world. Splunk can be called Google for machine-generated data.
Here in this tutorial, you will learn:
What is Splunk?
First, let us compare Splunk with ELK (Elastic, Logstash, Kibana) stack which also does a similar kind of job.
||ELK (ElasticSearch, Logstash, and Kibana)
|Technology used for indexing
||C++ based proprietary
||Java-based Apache Lucene
|Technology used for searching
||Apache Lucene based
|Language used for search
||Splunk Processing Language
|REST API for search interface
Splunk is used for extracting value out of machine-generated data. It can be thought of as a data mining tool for big data applications. Splunk can effectively handle big data with no decrease in performance. The best part of Splunk is that it does not need any database to store its data as it extensively makes use of its indexes to store the data.
Splunk is an absolutely fast engine and provides lightning-fast results. You can troubleshoot any issue by resolving it with instant results and doing an effective root cause analysis. Splunk can be used as a monitoring, reporting, analyzing, security information, and event management tool among other things. Splunk takes valuable machine-generated data and converts it into powerful operational intelligence by delivering insights through reports, charts, and alerts.
Watch this Splunk Tutorial video:
Why is Splunk so widely used?
Splunk is by far the most widely used engine for working with machine-generated data. Today machine data is being generated at breakneck speeds. Most people don’t realize but some of the biggest organizations in the world are parsing huge volumes of machine data just to stay ahead of the competition. So Splunk is their natural choice to convert machine data into operational intelligence. Splunk efficiently captures, indexes and correlates data from a searchable repository all in real-time and generates insightful graphs, reports, dashboards, and alerts.
Since machine-generated data will be the next frontier of big data, a huge number of companies are investing heavily into making sense out of it and converting it into a business advantage. Splunk’s mission is to make all the machine data easily accessible by identifying the patterns, analyzing the metrics, diagnosing the problems, and providing actionable insights. Splunk is also extensively used for security and compliance applications.
Features of Splunk
Here in this section of the Splunk tutorial, we will discuss some of the top features of Splunk.
- One of the biggest strengths of Splunk is real-time data processing
- The input data for Splunk could be in any format like CSV, JSON, and others
- You can easily search and investigate a particular result with Splunk
- It lets you troubleshoot any condition of failure for improved performance
- You can monitor any business metrics and make an informed decision
- It is possible to visualize and analyze the results through powerful dashboards
- You can analyze the performance of any IT system with the Splunk tool
- Splunk even lets you incorporate Artificial Intelligence into your data strategy.
Know how Splunk Integrated with Hadoop is the best combination for extracting quick insights in this Splunk Analytics for Hadoop blog.
Applications of Splunk
We will discuss some of the applications of Splunk to give you a brief idea about the vast possibilities of Splunk.
- You can deploy Splunk for web analytics to understand KPIs and improve performance
- It is used in IT operations to detect intrusion, breaches, and network abusers
- Tracking, analyzing, and fine-tuning digital marketing initiatives with Splunk
- Working in conjunction with the Internet of Things is a big part of Splunk’s future
- It is used in industrial automation systems to see everything is working as expected
- Advising cybersecurity personnel on the best course of action for securing IT systems.
Watch this Splunk Tutorial for Beginners video:
Why should you learn Splunk?
In this section of the Splunk tutorial, you will find out why you need to learn Splunk. As we discussed before, Splunk is the Google for machine data, and going forward this machine data will be a major chunk of the big data that is being generated at breakneck speeds. So if you learn Splunk then you have a very bright future thanks to the increased deployment of Splunk in mission-critical applications cutting across industry verticals. Today regardless of the industry vertical, It is being implemented for indexing data, facilitating Splunk search and investigation, mapping knowledge to search, scheduling alerts, and creating extensive reports and visualizations to aid business growth.
Interested in learning Splunk? Enroll in our Splunk Training now!
This Splunk tutorial is meant as the first step for anybody who wants to learn Splunk and excel in their career. Software developers, system administrators, database experts, search analysts can benefit from this Splunk tutorial.
There are no prerequisites for learning from this Splunk tutorial. If you have a knowledge of Data Analytics concepts, then it is good. In this, you will learn the basics of Splunk, and in the next tutorial, you will learn Introduction to Splunk.