Splunk video course - Splunk training for beginners - What is splunk - Class 6
• Splunk video course - Splunk training for ...
Splunk tutorial for beginners:
Hello everyone, welcome to yet another interesting session by Intellipaat.
In today's session, we will
discuss why Splunk?
What is Splunk and its components?
The working mechanism of Splunk
and use case?
Hands-on exercise to input the
data from local machine.
Career opportunities in Splunk?
Before moving to why we need Splunk?
Let us see, what Splunk is?
Have you heard the word Splunk?
Splunk is a software or tool that is used
to analyze the machine data.
But have you ever thought that,
why do we have to analyze the machine data?
You must be aware of the exponential
growth in machine data over the last decade.
This was mainly because of the
growing number of machines and the usage of
IoT devices.
And analyzing the data is needed because the solution to the different problem is hidden
in machine data.
Analyzing this machine data
will help us to understand the
customer behaviors and their requirement.
Which will, in turn, help us to provide better
service.
This machine data will help us to alert the
system admins about any security
issues and system failures.
Analyzing machine data also helps us to improve machine functionality.
However, analyzing machine data is not a simple task.
So, how do we do that?
Let us see, how to do that?
Consider that you are working as a system
administrator in some organization.
In an organization, the data can be generated from different sources, such as sensors,
network devices, cloud
services, internet of things
and mobile services.
And the data generated from these resources will be in the form of unstructured machine
data......
Let us see, what is Splunk and Have you heard the word Splunk? :-
Splunk is a software or tool that is usedto analyze the machine data.
But have you ever thought that, why do we have to analyze the machine data? You must be aware of the exponential growth in machine data over the last decade. This was mainly because of the growing number of machines and the usage of IoT devices. And analyzing the data is needed because the solution to the different problem is hidden in machine data.
Analyzing this machine data will help us to understand the customer behaviors and their requirement.Which will, in turn, help us to provide better
service. This machine data will help us to alert the system admins about any security issues and system failures. Analyzing machine data also helps us to improve machine functionality. However, analyzing machine data is not a simple task. So, how do we do that? Let us see, how to do that?
Consider that you are working as a system administrator in some organization. In an organization, the data can be generated from different sources, such as sensors, network devices, cloud services, internet of things and mobile services.
And the data generated from these resources will be in the form of unstructured machine
data. For example, machine data looks something
like this.
Let us say, failure occurred on any of the
one systems and you have to find the solution
for it. It will be very difficult for you to findout, in which step the hardware failed the program.
Machine data is: Complex to understand In an unstructured format and
Not suitable for making analysis/visualization
So, what do you think, how this can be resolved?
In this case, we need a tool that understands machine data and help us in identifying where exactly the hardware or software has failed.
Ad we discussed already, this can be resolved
by using Splunk. Splunk is a tool in which the machine data is processed to extract the human readable form of data. This will help you to analyze the problems. Whenever you are looking for state of any software or hardware, you will search for logfile which will help us to understand the
state of the software.
Splunk can be defined as a Google for log
files.
That is, Splunk makes machine data available to IT infrastructure.
The Primary components of Splunk are:
forwarders, indexers and search heads. Forwarders are responsible for
collecting the data and forwarding it to other Splunk instances or indexers.
The indexers are the place where the data is stored.
However, we cannot just access the data from indexers, we need to have search heads which will help us to analyze, visualize and report the data.
Splunk will help the user to leverage the
machine data in:
Analyzing the system performance Identify the failure conditions
in the system Monitor the business matrix Search and investigate a reason
Helps in visualizing the data and creating dashboards of results
It can also store the data for future references
Now, let us see how Splunk works? We have a data that is stored in machines which can be in form of logs, databases, views or API clauses.
On the other hand, we have users...
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