Splunk Tutorial

Splunk is really a software technique that enables computer information to monitor, scan, evaluate, and analyze it in real time. It monitors and reads stored data in indexer events as well as different kinds of log files. It allows users to understand data in various Dashboard formats. Splunk is a software that allows you to search and analyze computer data. It analyzes semi-structured data and logs generated by various processes using proper data modeling in accordance with the needs of IT companies. The data is generated by the user using any device, such as web apps, sensors, or computers. It includes functionality for defining data types, field separators, and optimizing the search process. It also provides data visualization for the searched result.

In this blog post we are going to discuss splunk, features, applications, splunk architecture, how splunk works, disadvantages of the splunk, etc in a more detailed way.

Students, IT developers, and IT infrastructure management experts who want to develop a solid understanding of basic Splunk concepts should read this tutorial. After wrapping up this tutorial, you will have intermediate Splunk expertise and will be able to quickly apply your knowledge to solve more difficult problems.

Why do we need splunk?

The Splunk Monitoring tool has numerous advantages for a company.

The following are some of the advantages of using Splunk:

  • Enhances the user interface and provides real-time visibility in a dashboard.
  • It shortens troubleshooting and resolution times by providing instant results.
  • It is an excellent tool for root cause analysis.
  • Splunk can generate graphs, alerts, and dashboards.
  • Splunk makes it simple to search for and investigate specific results.
  • It enables you to troubleshoot a certain failure condition in order to improve performance.
  • Assists you in monitoring any business metrics and making informed decisions.
  • Splunk enables you to integrate AI into your data strategy.
  • Allows you to glean valuable operational intelligence from your machine data.
  • Taking valuable data from diverse logs and summarizing it
  • Splunk accepts any data type, including.csv,.json, log formats, and so on.
  • Providing much more powerful search, evaluation, and visualization capabilities, marketing is growing of all types.
  • Creates a central repository for searching Splunk data from various sources.

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Now we will look at its features:

Splunk Features:

Splunk's key features include:

  • Increase the rate of development and testing
  • It enables you to create Real-Time Data Applications.
  • Increase ROI as soon as possible
  • Real-time statistics and reporting with agile statistics and reporting
  • Provides users of all types with search, analysis, and visualization capabilities.

Splunk Products:

Splunk comes in three different flavors. Splunk Enterprise, Splunk Light, and Splunk Cloud are all available.

  • Splunk Enterprise: Splunk Enterprise is used by large IT companies. 
  • Splunk Cloud: Splunk Cloud is a hosted platform that allows you to collect and analyze data from applications, websites, and other sources. It includes all of the
  • same features as the enterprise version. It is available from Splunk or through the AWS cloud platform.
  • Splunk Light's: Splunk Light is a free version of Splunk. It allows you to search, report, and modify your log data. When compared to other versions, it has fewer functionalities and features.

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Splunk Architecture:

Now, in this Splunk basics tutorial, we'll go over Splunk Architecture:

Splunk Architecture

The following are fundamental Splunk architecture components:

  • Universal Forward (UF): The Universal Forward (UF) component is a lightweight component that sends data to the heavy Splunk forwarder. Universal Forward can be installed on either the client or the application server. This component's sole function is to forward log data.
  • Load Balancer (LB): The load balancer is the default load balancer in Splunk. It does, however, allow you to use your customized load balancer.
  • Heavy Forward (HF): A heavy component is a heavy forward. You can filter the data using this Splunk component. As an example, suppose you only want to collect error logs.
  • Indexer (LB): An indexer is a program that assists you in storing and indexing data. It boosts the performance of Splunk searches. Splunk performs indexing automatically by default. For instance, host, source, and date and time.
  • Search Head (SH): A search head is a person who gathers intelligence and reports on it.
  • Deployment Server (DS): A deployment server aids in the implementation of configuration. Keep updating the UF configuration file, for example. We could use a deployment server to share data between components.
  • A license manager (LM) is a person who manages licenses.
  • The license has been based on volume and usage, such as 50 GB per day. Splunk checks the licence specifics on a regular basis.

How Splunk Works?

Here we will learn how splunk works.

How Splunk Works

  • Forwarder: The Forwarder collects data from remote machines and sends it in real-time to the Index.
  • Indexer: An indexer is a program that processes incoming data in real time. It also saves and indexes data on disk.
  • Search Head: Search Head is the interface through which end users interact with Splunk. It enables users to search, analyze, and visualize data.
Applications of splunk:

Problem Statement: McDonald's lacked a clear understanding of which job opportunities were the best.

  • Offer type ( For example 20% off)
  • Cultural differences at a region level
  • Time of Purchase
  • Device used by the customer
  • Revenue generated per order

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They required knowledge of consumer behaviors and responses.

The entire procedure makes use of three different types of data sources.

  • Order placed at the McDonald's outlet
  • Ordered through the Mobile Application
  • Use the Web Application to place orders

Now that the process progressed from one step to the next, as shown in the diagram below.

process progressed

Input Data: Input Data is now in the Parsing stage.

Parsing:

Relevant data is converted into events in the Parsing Stage:

  1. Customer Location
  2. Per-order revenue
  3. Ordering Period (Morning, Afternoon, Evening, Night)
  4. A device that customers use (Mobile, PC, Tablet)
  5. Discount coupons were used.
Indexing stage:

At this stage, events are resolved and archived for storage based on the following criteria:

  • Sales by Geographical location
  • Order Revenue
  • Time of order (Morning, Afternoon, Evening, Night)
  • Device use by the customer
  • Coupon offered applied
Search head:

It is used to gather intelligence and report on it.

It was used by Mac- Donald to obtain the following information:

  • Which sales deal is most effective in which geographical area?
  • In order to increase revenue, why does customer behavior change?
  • When is the ideal place to use burger or combo deals?
How did Splunk help?
  • Display all orders coming from a specific region in real time.
  • Determine the impact of various promotional offers in real-time.
  • Keep an eye on the performance of MacDonald's in-house developed point-of-sale systems.
  • An employee can listen in with what customers say and help them understand what they expect.
  • I investigated the speed of various payment methods.
  • Ascertain a payment mode that is error-free.
Best practices of using splunk:
  • You should test the index so that you can perform the test quickly.
  • There are some fields that you must get right when indexing. Everything else is only available after indexing.
  • Splunk automatically breaks events, so it's important to double-check that Splunk correctly detected the start and end of an event.
  • Splunk can identify the time stamp instantly. If your log format has a different timestamp, you must configure the timestamp.

Companies which are using the splunk are: Cisco,Bosch,IBM,Motorola,PepsiCo,Adobe,Visa,Adidas,Facebook,Salesforce and walmart.

Disadvantages of splunk:

Here are some of the disadvantages of splunk. They are:

  • Splunk can be costly when dealing with large amounts of data.
  • Dashboards are useful, but they are not as effective as other monitoring tools.
  • It has a steep learning curve, and because it is a multi-tier architecture, you will need Splunk training. As a result, you will need to devote a significant amount of time to learning this tool.
  • Regular expressions and search syntax, in particular, are difficult to grasp.

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Conclusion:

With the support of the Dominos use case, this Splunk guide will make you realize what Splunk is, the benefits of using Splunk, Splunk vs ELK vs Sumo Logic, Splunk architecture – Splunk Forwarder, Indexer, and Search Head. Learn Splunk and build a career in the analytics domain that now you recognize what Splunk is and its importance in the Big Data industry.

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Gayathri
Gayathri
Research Analyst
As a senior Technical Content Writer for HKR Trainings, Gayathri has a good comprehension of the present technical innovations, which incorporates perspectives like Business Intelligence and Analytics. She conveys advanced technical ideas precisely and vividly, as conceivable to the target group, guaranteeing that the content is available to clients. She writes qualitative content in the field of Data Warehousing & ETL, Big Data Analytics, and ERP Tools. Connect me on LinkedIn.