Splunk Architecture is a great tool for companies or individuals interested in big data analysis. This tool is the perfect choice when there is a large amount of data from machines that need to be analyzed. The tool can be utilized to visualize data reports, report creation and data analysis. With the help of feedback provided to the data that is generated, the IT team can take the appropriate steps to increase their overall effectiveness.
Now that we know what exactly is Splunk and what are the primary uses of Splunk we can dig deeper to learn the specifics about Splunk Structure:
Before we can understand the Splunk Architecture thoroughly It is important to know the different components that are used in Splunk. Utilizing these components will allow you to comprehend how the tool functions and also what are the most important components to be aware of.
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Different Stages In Data Pipeline
There are three distinct phases of Data Pipeline that one needs to know:
The Stage for Data Entry:
At this point when all the data is available, it will be accessed directly from the source and converted to 64k blocks. Metadata keys consist of the following information:
Hostname
Source
Type of data source
The Stage of Data Storage:
This phase is completed in two distinct phases. I.e
Parsing
Indexing
Parsing
In this stage the software from Splunk examines the data, analyzes it, and then changes the information. This is referred to as event processing. In this stage, all sets of data are broken up into distinct events. The next steps are performed in this parsing phase.
The stream of data is broken into lines
Determines and sets time stamps
Transforms the events and metadata according to regex standards.
Indexing phase
In this stage the Splunk program adds parsed events to the queue for index. The primary benefit of doing this technique is to ensure that the information is readily accessible to everyone to access at the time of the search.
Information Searching Stage
At this point, the way the data is utilized, accessed and viewed is managed. Within Splunk, the Splunk application, it can keep user-defined knowledge objects including reports, types of events, and alerts.
Different kinds that make up Splunk forwarders.
Let’s now look at the various types of Splunk forwarders.
Splunk Forwarder:
This component is designed to gather all log’s log’s data. If you’re looking to get logs from remote systems then you must utilize Splunk remote forwarders to accomplish the task.
Splunk Forwarders are able to collect real-time information to allow users to analyze the data in real-time. In order to do this, you must configure the Splunk Forwarders to transfer all data Splunk Indexers at a real time. Check out this Splunk tutorial telugu today to learn more.
It requires very little processing power than an alternative monitoring tool. The ability to scale is another benefit.
There are two types of Forwarders:
Splunk Universal Forwarder
The Splunk Heavy Forwarder
Splunk Indexer:
This is a different component we can utilize to index and store the data that comes from forwarders. The Splunk indexer tool aids in the process of having the data transformed into events and then indexed so that it’s effortless to search effectively.
When data flows via a Universal forwarder, then Splunk Indexer will first analyze the data, and then Index it. The process of parsing the data will remove undesirable data.
When the information is flowing via a Heavy forwarder, Splunk Indexer will index only the data.
If Splunk Indexer indexes the files, Splunk Indexer scans files,, these files will contain the following characteristics:
Compressed Raw data is observable
Index Files, i.e. tsidx files.
One advantage of the use of Splunk Indexer is that it allows data replication. It is not necessary to be concerned about losing information because Splunk stores several copies of the indexed data. This process is call as Index replication or Indexer Clustering.
The Splunk Head Search:
This stage provides an interactive user interface that the user is capable of performing various tasks depending on the requirements. By entering keywords into the search box users can get the desired results in accordance with the keyword.
Splunk Search Head can be install on multiple servers, and only need to ensure that we have enable Splunk Web Services on our Splunk server so that interactions don’t get interrupt.
There are two types of Search heads, i.e.
Search for the head
The Search Peer
Search Head: It’s precisely the user interface that only the data is obtain based on keywords. No indexing occurs to it.
Search peer is a feature that can handle both search results and indexing.
Splunk Architecture:
To discuss the architecture of Splunk, understanding its components is necessary.
Check out the image below, which provides a comprehensive overview of the various components involved in the process and the functions they play:
It is possible to receive data from a variety of sources. The procedure can be configure to automatically forward data through the execution of a few scripts.
The files going to be upload can be monitor and real-time tracking of any changes is possible.
Forwarders are a key component to duplicate the data capable of load-balancing, and even intelligently routing the data. These tasks can accomplish prior to the data being send towards the indexer.
A deployment server is utilize to oversee the entire configuration, deployment and policies.
When the data is in, it’s going to get the indexer. When the data is index then it is store as events. This makes it extremely easy to conduct any type of search
By using search heads, the results can be visualize and analyze by using the graphical user interface.
Using the Search peers you can save searches, and be able to create reports as well as do analysis through visualizing dashboard.
By using Knowledge objects, you’ll be able to enrich existing data that is unstructured.
The knowledge objects and search heads can access through using the Splunk web user interface. All communications are through the REST API connection.
In this post, we’ve examined the different components accessible within Splunk. We have also discussed the different components that are available in Splunk applications and their ways in which they work in real-time. The general Splunk Structure is expound in detail by explaining each component.
