![]() Now, let us understand the different types of Splunk forwarders. You can scale them up to tens of thousands of remote systems easily, and collect terabytes of data with minimal impact on performance. To understand how real time forwarding of data happens, you can read my blog on how Domino’s is using Splunk to gain operational efficiency.Ĭompared to other traditional monitoring tools, Splunk Forwarder consumes very less cpu ~1-2%. You can install them in multiple systems and collect the data simultaneously from different machines in real time. You can configure the forwarders to send data to Splunk indexers in real-time. What if you want to do real-time analysis of the data? Splunk forwarders can be used for that purpose too. In fact, you can install several such forwarders in multiple machines, which will forward the log data to a Splunk Indexer for processing and storage. Suppose, you want to collect logs from a remote machine, then you can accomplish that by using Splunk’s remote forwarders which are independent of the main Splunk instance. Splunk Forwarder is the component which you have to use for collecting the logs. Search Head, is a GUI used for searching, analyzing and reporting.Splunk Indexer, used for Parsing and Indexing the data.Splunk Forwarder, used for data forwarding.If you look at the below image, you will understand the different data pipeline stages under which various Splunk components fall under. The search function also manages the search process. As part of the search function, Splunk software stores user-created knowledge objects, such as reports, event types, dashboards, alerts and field extractions. ![]() This stage controls how the user accesses, views, and uses the indexed data. The benefit of Indexing is that the data can be easily accessed during searching. It writes both compressed raw data and the corresponding index file. In Indexing phase, Splunk software writes parsed events to the index on disk.Transforming event data and metadata according to regex transform rules.Annotating individual events with metadata copied from the source-wide keys.Identifying, parsing, and setting timestamps.Breaking the stream of data into individual lines. ![]() ![]() It is during this phase that Splunk software breaks the data stream into individual events.
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