Splunk Tutorial

Splunk is a popular data platform for searching, analyzing, monitoring and visualizing machine data (from IoT devices, mobile apps, etc.) in real time. It creates dashboards, visualizations, alerts and graphs by accumulating, correlating and indexing real-time information in a searchable container. This Splunk tutorial will help you learn more about the domain of data analysis, and this leading platform in that space.

Prerequisites for Learning Splunk

IT professionals, IT infrastructure management experts and even students can take the help of this Splunk tutorial for learning essential concepts. There are a few knowledge prerequisites you should fulfill for maximum outcome-

• Familiarity with querying languages like SQL.
• Basic knowledge of using computer applications like retrieving and storing data.

What is Splunk?

Splunk is a software platform for real time searching, visualizing, analyzing and monitoring of machine-generated data. This information comes from plenty of sources like sensors, web apps and devices. It then carries out correlating, capturing and indexing of live information for actionable insights and informed decision making. It has become a go-to tool for security, business intelligence, IT operations and much more.

With a market share of around 52.63%, it ranks on the top as an operational intelligence platform. Careers in data visualization have gone up drastically, which has led to a rise in the demand for learning this platform as well. It is now seen as the ideal pick for meeting the needs of IT infrastructure by analyzing logs generated in multiple processes. Its in-built features are also its winning points.

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Features of Splunk

Some of the key features that make it such a well-known name are:

• Faster ROI generation
• Agile reporting and statistics with real time architecture
• Visualizing, searching and analyzing capabilities
• Faster testing and development
• Supports building data apps in actual time

Splunk Architecture

The Splunk architecture is composed of three key components.

1. Splunk Forwarder

Its job is to collect live data so that the user can implement live analysis. It collects the entire log's data and sends it to the indexer. There are two main types

• Splunk Heavy Forwarder
• Splunk Universal Forwarder

2. Search Head

Splunk Search Head is a graphical user interface (GUI) that allows the user to perform a plethora of operations as per their requirements. This stage allows easy interaction with the main platform and consequent performance of search and query operations on the entire information.

3. Splunk Indexer

The Splunk Indexer is employed for indexing and then storing the logs received from the Forwarder. In short, it changes information into events to store and add them to an index. This enhances the overall searchability.

First, the data received is parsed and all unwanted data is removed. The next step is indexing where files are created that are later bifurcated into different directories known as buckets. The files are -

• Metadata files
• Indexes pointing to raw data (.TSIDX files)
• Compressed raw data

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How to Install the Splunk Enterprise Version?

The Splunk Enterprise edition includes a 60-day free trial with full features, allowing you to explore data ingestion, dashboards, alerts, and monitoring. It supports both Windows and Linux environments, making it suitable for organizations of any size. Below is the step-by-step guide to install Splunk Enterprise on each operating system.

Installing the Splunk Enterprise Version on Windows

Follow the steps below to install Splunk Enterprise on a Windows machine:

1) Verify System Requirements

• Supported OS – Windows 10, Windows Server 2012 or later
• Minimum RAM – 4GB (recommended: 8GB+ for smoother indexing)
• Processor – 2.0 GHz dual-core or higher
• Storage – 5GB free disk space (more for heavy log indexing)

2) Download the .msi Installer

• Visit the official download page and select Splunk Enterprise for Windows.

• Create a Splunk account to access the installer if prompted.

• Select the Windows *.msi* package to begin downloading.

3) Run the Installer

• After download, double-click the installer file to open the installation wizard. Select settings based on your requirements and click Customize Options.

• Choose the installation directory or keep the default and click Next.

4) Configure Splunk Account

• You will see account type options — Local System Account (for local log collection) or Domain Account (for both local + remote log sources). Select one and click Next.

• Enter the admin username and password for your Splunk login and proceed.

• Enable shortcut creation and click Install to complete setup.

Installing the Splunk Enterprise Version on Linux

Splunk for Linux can be installed using RPM, DEB or .tar packages. Below are the steps using the DEB installer for Debian/Ubuntu-based systems.

• Visit the official download page and select the Linux version.

• Download the suitable *.deb* package (64-bit recommended).

• Open the Downloads directory and install using the package installer.

• Use the start command displayed below to launch Splunk for the first time. Accept the license and set admin credentials.

• Once the service starts, Splunk will display the web UI URL for login.

• Launch the link in your browser and log in using the credentials you set during installation.

Key Splunk Terminologies

To understand the true workings and performance of this platform, you must go through its technical concepts and terminologies. It will help you learn more about the various aspects of this platform.

1. Search

It has robust functionality for searching log files from any dataset. A special option named Search & Reporting is available at the left side of the bar in its user interface.

By clicking on this option, you will find a search bar on your screen. This search bar will show all types of files available in the DB if you provide it with the right format as shown below. Searching different types of files requires different types of formats. Here we are searching for the host names.

2. Field Searching

Field is a searchable name or value pair within event data. It forms the building blocks of searches, reports and data models. In this platform, we can extract default fields like Host, Source and Sourcetype. It allows us to build custom fields through techniques like field extraction, index time and search time.

• Field extraction

It analyzes raw log to identify and build new fields.

• Index time

It creates fields during the data indexing process, which can improve search performance.

• Search time

It builds fields during the search itself, which provides flexibility but can impact performance on large sets.

3. Real-Time Alerts

Real-time alerts monitor running events and trigger actions frequently according to search results or user conditions. One can create these alerts with per-result or rolling time window triggering. Creating them involves the following steps.

• Navigate and click on the Search & Reporting app
• Generate a search and save it as an Alert
• Give a title and description and define permissions
• Select the alert type as Real-time
• Configure the Expires setting if you want to change the lifespan of triggered alert records. (Optional)
• Choose the Per-Result trigger button
• Change a trigger kill period. (Optional)
• Choose at least one alert action that is going to trigger during the alert
• Click on the Save button

4. Schedule Reports

Schedule Reports are saved searches that run automatically on a regular interval. These are generally used for generating reports, sending alerts or populating summary indexes. We can also configure them to perform operations like logging events or emailing results. The following four actions can be defined for scheduling reports.

• Share a report through an email
• Write the results of the report to a CSV lookup file
• Set up a webhook to share messages on external web resources
• Index and log searchable events

5. Tags & Event Types

Event types categorize common types of events for easier searching and reporting. Tags, on the other hand, allow for the grouping of event data across different sources and event types. Both of these are responsible for streamlining the process of finding, analyzing and reporting on specific types of information. Here are some of the key differences between them -

6. Data Pipeline

Data pipeline is defined as a combination of different steps to extract, transform and load raw information from different sources. It provides fine details for further analysis and business processes. This platform provides different types of data pipelines catering to different business requirements.

• Batch Data Pipelines - These pipelines collect log over time and then process it on a set interval, such as hourly, daily or weekly. It uses multiple batches to manage these findings. These are mostly useful in managing large volumes without the need for real-time processing
• Real-time Data Pipelines - Referring to the name, these pipelines are instantaneous and manage information immediately after creation. This process is known as data streaming. It is mostly useful in user behavior tracking or fraud detection over websites
• Cloud-based Data Pipelines - These pipelines require a cloud environment to run. They provide great scalability and flexibility and can manage both group and instantaneous processing
• Machine Learning Pipelines - These are specially designed for machine learning workflows. These automate model training, data analysis and model deployment within the production environment

7. Visualization

Splunk provides multiple visualization features. It has the capability to convert raw information into intuitive maps, charts, graphs and dashboards. This capability allows individuals to uncover insights, detect anomalies and understand complex information effectively.

Visualization can be used in both dashboards: Classic Simple XML and Dashboard Studio. The Classic Simple XML uses XML source code, whereas Dashboard Studio uses JSON source code. We can customize the visualization by editing source code or using a visual editor.

Applications of Splunk

Discussing all the applications of Splunk here is nearly impossible. Yes, you will be able to learn more about them during your Splunk course. And if you decide to go for Splunk certification, then you will get to know about everything during your training period. Here are a few places where this platform is useful:

• Understand KPIs and improve performance by deploying Splunk for web analytics

• Works in relation with IoT

• Advice cybersecurity professionals about the best means of securing the IT systems

• Used in IT operations to detect network abusers, breaches, and intrusions

• Used in industrial automation systems

• Track, analyze, and refine digital marketing campaigns

Related Article- Splunk Fundamentals: Get Started with Data Analytics and Visualization

Why Learn Splunk?

Whether or not to learn this platform is a big question. Is it really worth it and does it actually have a bright future? Too many questions and not enough time. To give you a better idea about the why's, let us look at a few benefits of Splunk training.

Benefits of Splunk Training

Here are a few ways in which Splunk online training can help you build a successful career:

• Splunk course is for those who wish to enjoy a bright tech career with the aid of this amazing platform. Thus, you already have the zeal to move ahead
• With the right Splunk course, you will learn to use this platform for collecting, visualizing, and analyzing data from a myriad of sources. This data is received from different sources including applications, user behavior, devices, machines, and social media
• As per your prior experience and skill set, a training program will provide you with advanced knowledge
• Training courses or Splunk tutorial also come with hands-on learning exercises that are crucial for skill development. This increases your chances of getting hired as hiring managers see you as an asset that they do not have to provide training
• It's a leading name and its future is bright. Getting trained and Splunk certification will help you get more opportunities to work with top companies anywhere in the world

Splunk Certification

The Splunk Core Certified User Certification is a professional certification designed for beginners who wish to demonstrate their proficiency in employing core Splunk Enterprise features. Further, it provides a variety of certification including:

• Splunk Enterprise Certified Architect

• Splunk Enterprise Security Certified Admin

• Splunk Core Certified Consultant

• Splunk Enterprise Certified Admin

• Splunk IT Service Intelligence Certified Admin

Wrapping Up

There is a lot to learn about Splunk since it is a leading platform today. While covering it all in a blog is difficult, you can still learn it all with the help of the best Splunk course or other online resources. Since there are no prerequisites to learning Splunk, anyone can make a career in this field. All you need is to have a zest to learn and that is enough.

FAQs for Splunk Tutorial

Q1. Can I learn Splunk easily?

Ans. Learning Splunk is not that hard but if you wish to master it, then it will take some time.

Q2. Where can I get Splunk training for free?

Ans. There are a lot of online portals where you can get free short modules or practice sessions. However, if you want to learn it so that you can make a career in it, then we suggest you go with a full-fledged course or learn through Splunk tutorial.

Q3. Is there an official Splunk Certification?

Ans. Yes, the Splunk Core Certified User certification is issued by Splunk itself.

Q4. Is Splunk a tool or a software?

Ans. Splunk is a well-known software platform that is used for searching, visualizing, and analyzing machine-generated data.

Q5. Who uses Splunk?

Ans. Companies from all industries like electricity, gas, oil, banking, financial services, communication, etc., use Splunk.

Q6. How can a Splunk tutorial benefit beginners?

Ans. A Splunk tutorial simplifies learning by covering data indexing, search queries, and dashboard creation step by step.