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.
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 find out, 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 who act as information dividers from various
sources.
The business operations need graphs, images, pivots, and dashboards to
make better decisions for business.
So, what you think, what acts as a bridge between data and users.
Yes, it is data indexes.
Or you can think that, it is a table of databases.
And this is how the data is stored in the machines.
Once we store the data, we can extract
the data using search processing language or SPL.
All the data in the machine will be now stored in the form of events.
Once this data is retrieved from the machine you can edit, calculate or concert according
to your needs.
This technology is not only easy to implement
but also provides a wide spectrum of services to its users.
Some of those are, Indexing data
Facilitates searching and investigating Mapping knowledge to search
Scheduling alert Prepare and share Splunk reports
All these days, we have seen storage devices
get better and better over the years, we have seen processors become more
efficient with every aging day, but not data movement.
Splunk is a handy tool to do this.
You might be wondering why organizations are
opting for Splunk.
Well here are some of the benefits of Splunk.
It started working as the "Google" for log files.
That is, you can input the data in any form Splunk Searches using simpler
terms with the help of Search Processing Language (SPL).
It does not require any backend or any database as it stores data directly
in the Splunk file system.
Not a single point of failure is encountered.
Apart from the above-mentioned highlights of this technology, there are a lot of features
such as fast installation, easy scalability, retention without losing granularity,
etc., that give this technology a distinctive competitive edge.
Major Splunk customers are Vodafone,
Dominos, ING bank and New York Air brake.
Vodafone is a telecommunication company in which a huge amount of customer data is generated.
Hence, Vodafone uses Splunk to manage this big data to optimize and provide
better customer support.
Domino's has also opted for Splunk to understand the customer behavior.
ING bank is using Splunk to troubleshoot the key apps and insights into customer behavior.
New York air brake saved almost $1 billion in a month by implementing Splunk.
Now let us move on to use case and see how
Splunk helps organizations to resolve their issues technically.
You might be aware that Domino's Pizza is an e-commerce cum fast-food giant,
but are you aware of the difficulties and challenges they were facing.
They wanted to understand their customers' needs and cater to them more effectively by
using Big Data.
Dominos database used to generate a lot of
unstructured data which leads to difficulties in maintaining them.
Such as errors in manual searches, differences in preferences and many more.
This was resolved by Splunk.
Splunk helped dominos to search the data faster, monitor the performance and get better insights.
It helped the dominos to set up the different interactive map,
real-time feedback from the customer, analyze the different payment methods,
and monitor the performance of the in-house sales team.
Splunk's widespread applications and ease of installation have made applications immensely
popular in the field of big data analytics.
From a low-profile big data company to one of the most popular technologies, it has remained
successful in creating a solid impact on the leading tech players.
Let us now look at the hands-on exercise
how to add data
in Splunk tool?
First you need to login to Splunk administration.
opportunities that come your way.
Learning this technology will ensure your success in the near future.
What are you waiting for?
Join our Intellipaat Splunk Training course today and become a Splunk professional.
This course will help you to understand the web log analysis, design reports, and charts.
You will also learn how server configuration is carried out in Splunk deployment.
Let us summarize, what we have discussed in
today's session: We started with the need of Splunk,
what are Splunk and its components.
We also discussed the working mechanism and a use case for Splunk.
Different career options available in Splunk, various organizations who use Splunk
technology and hands-on exercise input the data.
Thank you for watching this video.
For enquiries, feel free to contact us.