Below are the components of splunk Architecture: 1) Search Head --> Splunk search head is basically GUI for splunk where we can search,analyse and report 2) Forwader --> Splunk forwarder is a splunk components which works like an agent for splunk .It collects da,routers etc. There are a few drawbacks of a “Standalone” deployment for Splunk in terms of High Availability, Disaster Recovery and Search Concurrency. Splunk’s versatile distributed architecture can be formulated to meet speci!c deployment needs. To set up a simple distributed search topology, consisting of a single dedicated search head and several search peers, perform these steps: 1. Start implementing your distributed deployment. So we tried disabling and enabling the search peers the problem was still the same. Use RAID1+0 whenever possible for the Splunk datastore. Carefully plan Splunk Distributed Architecture to ensure the most accurate and efficient processing. We'll discuss a few of the major deployment models here, but as you learn more about Splunk, you’ll be able to determine the right model for your situation. Howto: Distributed Splunk Architecture December 22, 2012 Logs Management / SIEM , OSSEC , Security , Software 8 comments Implementing a … Little impact will be seen at low volumes; however, at higher data volumes you will see performance improvement with RAID1+0 over RAID 5 or 6. Splunk Enterprise deployments range from single-instance departmental deployments, indexing a few gigabytes of data a day and servicing just a few users searching the data, to large enterprise deployments distributed across multiple data centers, with indexing requirements in the terabyte range and searches performed by hundreds of people. Splunk provides a distributed search architecture, which allows you to scale up to handle large data volumes, and better handle access control and geo-dispersed data. A distributed environment describes the separation of indexing and searching logic in Splunk. Designate a Splunk Enterprise instance as the search head. Home » Blog » ABC’s of Splunk Part Six: Distributed-Clustered Architecture Splunk Installation I started receiving messages from Reddit and LinkedIn regarding the proper buildout of a clustered environment, so for this blog, I will go over the different components and details required to properly build a clustered Splunk environment. In a non-distributed environment, you would have installed all the logic on a single machine, which does the indexing of data and also searches the data. Distributed search facilitates horizontal scaling by providing a way to distribute the indexing and searching loads across multiple Splunk Enterprise instances, making it possible to index and search large quantities of data. You can receive data from various network ports by running scripts for automating data forwarding See System requirements and other deployment considerations for distributed search. RAID Level. In a distributed search scenario, the search head sends search requests to a group of indexers, also called search peers. Recently one of our search head was getting freeze and no search was working. Each search head points to all 16 search peers. Distributed Deployment . Deploy distributed search. If you have understood the concepts explained above, you can easily relate to the Splunk architecture. 2. Distributed does not necessarily mean clustered. ... •Simplified collection architecture Improvements to App for Distributed Tracing •Better correlation between traces, metrics and logs •ITSI Integration for service mapping, KPIs Splunk Architecture. Look at the image below to get a consolidated view of the various components involved in the process and their functionalities. 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