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 which is 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 as the Google for machine generated data.
Here in this tutorial you will learn:
First let us compare Splunk with ELK (Elastic, Logstash, Kibana) stack which also does a similar kind of job.
|Comparison criteria||Splunk||ELK (ElasticSearch, Logstash and Kibana)|
|Technology used for indexing||C++ based proprietary||Java based Apache Lucene|
|Technology used for searching||MapReduce based||Apache Lucene based|
|Language used for search||Splunk Processing Language||Query DSL|
|REST API for search interface||Available||Available|
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 do 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 the valuable machine generated data and converts it into powerful operational intelligence by delivering insights through reports, charts and alerts.
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 of number of companies are investing heavily into making sense out of it and converting it into 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.
Here in this section of the Splunk tutorial we will discuss some of the top features of Splunk.
We will discuss about some of the applications of Splunk to give you a brief idea about the vast possibilities of 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 increased deployed of Splunk in mission-critical applications cutting across industry verticals. Today regardless of the industry vertical, Splunk is being implemented for indexing data, facilitating search and investigation, mapping knowledge to search, scheduling alerts and creating extensive reports and visualizations to aid business growth.
This Splunk tutorial is meant as the first step for anybody who wants to learn Splunk and excel in their careers. 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.
1.1 Introduction Splunk is a powerful platform for analyzing machine data, data that machines emit in great volumes but which is seldom used effectively. The fastest way to understand the power and versatility of Splunk is to consider two scenarios: one in the datacenter and one in the marketing department. Splunk produces software for searching, monitoring, and analyzing machine-generated Read More
It covers installing Splunk, importing your data, and a bit about how the data is organized to facilitate searching. 2.1 Machine Data Basics Splunk’s mission is to make machine data useful for people. Splunk divides raw machine data into discrete pieces of information known as events. When you do a simple search, Splunk retrieves the events that Read More
The goal of search is to help you find exactly what you need. It can mean filtering, summarizing, and visualizing a large amount of data, to answer your questions about the data. The Summary dashboard gives you a quick overview of the data visible to you. Click Launch search app on the Splunk Welcome tab. Read More
It covers the most basic Splunk command in the SPL search. 4.1 Sorting Commands Sorting results is the province of the sort command. The sort command sorts search results by the specified fields. 4.2 Filtering Results These commands take search results from a previous command and reduce them to a smaller set of results. 4.2.1 Read More
It explains how to visualize and enrich your data with knowledge. 5.1 Using Splunk to Understand Data It shows how to explore, categorize, and become familiar with your data. The first step in getting to know data is using Splunk to identify fields in the data. You can think of this like looking at all Read More
Monitoring refers to reports you can visually monitor and alerting refers to conditions monitored by Splunk, which can automatically trigger actions. These recipes are meant to be brief solutions to common monitoring and alerting problems. Each recipe includes a problem statement followed by a description of how to use Splunk to solve the problem Watch this Splunk Read More
7.1 Introduction There are several ways to group events. The most common approach uses either the transaction or stats command. But when should you use transaction and when should you use stats? The rule of thumb: If you can use stats, use stats. It’s faster than transaction, especially in a distributed environment. With that Read More
These lookup table recipes briefly show advanced solutions to common, real-world problems. Splunk’s lookup feature lets you reference fields in an external CSV file that match fields in your event data. Using this match, you can enrich your event data with additional fields. Note that we do not cover external scripted lookups or time-based lookups. Watch Read More
Download Interview Questions asked by top MNCs in 2019?