Introduction to Splunk Presentation (DevOps)

Jun 28, 2024Download as PPTX, PDF0 likes622 views

As simply as possible, we offer a big data platform that can help you do a lot of things better. Using Splunk the right way powers cybersecurity, observability, network operations and a whole bunch of important tasks that large organizations require.

Introduction to Splunk
Presenter Name:
Sanchit Raj
Senior Software Consultant

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1.What is Splunk.
2.Key Feature of Splunk.
3.How Splunk Work.
4.Splunk Architecture.
5.Splunk Use Cases.
6.Demo.

What is Splunk
Splunk is a software platform that specializes in taking
large amounts of data, specifically machine-generated
data, and making it usable for businesses. This
machine-generated data can come from a variety of
sources, like websites, applications, sensors, and other
devices that make up a company's IT infrastructure.
Splunk can search, analyze, and visualize this data in
real time, which allows businesses to identify trends,
diagnose problems, and gain valuable insights from their
data. In other words, Splunk helps businesses turn
complex data into actionable information.

Key Features of Splunk
• Search and Investigation: Powerful search language (SPL).
• Dashboards and Visualizations: Create interactive and real-time
dashboards.
• Alerts: Set up real-time alerts for specific conditions.
• Reporting: Generate detailed reports based on search results.

How Splunk Work
• Data Collection: Splunk gathers data from various sources like web servers, applications,
and network devices. It uses tools like Universal Forwarder to bring this data in.
• Data Indexing: Splunk organizes and stores this data efficiently in a compressed format
for faster searching and retrieval.
• Search & Analysis: Splunk allows users to search and analyze this data using a powerful
query language called Search Processing Language (SPL). You can identify trends,
troubleshoot issues, and uncover valuable insights.
• Visualization & Reporting: Splunk can present data in reports and dashboards for easy
comprehension. This allows users to see trends and patterns visually.
• Alerts & Actions: Splunk can be configured to set up alerts based on specific data
patterns. This enables proactive identification and resolution of potential problems.

Splunk Architecture
Components:
• Forwarder: Collects and forwards log data.
• Indexer: Stores and indexes data.
• Search Head: Allows users to search and analyze data.

Splunk Use Cases
• Compliance: Splunk can help businesses comply with regulations such as
PCI DSS and HIPAA by collecting and analyzing data relevant to those
regulations.
• Log Management: Splunk can centralize and manage log data from
various devices, making it easier to search and analyze logs for
troubleshooting or security purposes.
• Application Performance Monitoring (APM): Splunk can monitor the
performance of applications and identify bottlenecks that are impacting
performance.
• Fraud Detection: Splunk can be used to analyze financial data to identify
fraudulent activity.

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Introduction to Splunk Presentation (DevOps)

1. Introduction to Splunk Presenter Name: Sanchit Raj Senior Software Consultant

2. Lack of etiquette and manners is a huge turn off. KnolX Etiquettes  Punctuality Join the session 5 minutes prior to the session start time. We start on time and conclude on time!  Feedback Make sure to submit a constructive feedback for all sessions as it is very helpful for the presenter.  Silent Mode Keep your mobile devices in silent mode, feel free to move out of session in case you need to attend an urgent call.  Avoid Disturbance Avoid unwanted chit chat during the session.

3. 1.What is Splunk. 2.Key Feature of Splunk. 3.How Splunk Work. 4.Splunk Architecture. 5.Splunk Use Cases. 6.Demo.

4. What is Splunk Splunk is a software platform that specializes in taking large amounts of data, specifically machine-generated data, and making it usable for businesses. This machine-generated data can come from a variety of sources, like websites, applications, sensors, and other devices that make up a company's IT infrastructure. Splunk can search, analyze, and visualize this data in real time, which allows businesses to identify trends, diagnose problems, and gain valuable insights from their data. In other words, Splunk helps businesses turn complex data into actionable information.

5. Key Features of Splunk • Search and Investigation: Powerful search language (SPL). • Dashboards and Visualizations: Create interactive and real-time dashboards. • Alerts: Set up real-time alerts for specific conditions. • Reporting: Generate detailed reports based on search results.

6. How Splunk Work • Data Collection: Splunk gathers data from various sources like web servers, applications, and network devices. It uses tools like Universal Forwarder to bring this data in. • Data Indexing: Splunk organizes and stores this data efficiently in a compressed format for faster searching and retrieval. • Search & Analysis: Splunk allows users to search and analyze this data using a powerful query language called Search Processing Language (SPL). You can identify trends, troubleshoot issues, and uncover valuable insights. • Visualization & Reporting: Splunk can present data in reports and dashboards for easy comprehension. This allows users to see trends and patterns visually. • Alerts & Actions: Splunk can be configured to set up alerts based on specific data patterns. This enables proactive identification and resolution of potential problems.

7. Splunk Architecture Components: • Forwarder: Collects and forwards log data. • Indexer: Stores and indexes data. • Search Head: Allows users to search and analyze data.

8. Diagram

9. Splunk Use Cases • Compliance: Splunk can help businesses comply with regulations such as PCI DSS and HIPAA by collecting and analyzing data relevant to those regulations. • Log Management: Splunk can centralize and manage log data from various devices, making it easier to search and analyze logs for troubleshooting or security purposes. • Application Performance Monitoring (APM): Splunk can monitor the performance of applications and identify bottlenecks that are impacting performance. • Fraud Detection: Splunk can be used to analyze financial data to identify fraudulent activity.

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