Tamir Suliman allamiro

## gist:1c2543bb546dd280018b3594a9905d65
| Component             | Description                                                                                                                                                       |
|-----------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Sources (Windowsdevices, Syslog, Linux , network devices, apps              | Various data sources such as network devices, servers, applications, etc., send log data.                                                                          |
| Logstash (1st Instance)| Collects and processes the raw log data from various sources and outputs it to Redis for buffering.                                                                |
| Redis                 | Acts as a buffering layer to handle high-throughput log data efficiently and ensure data persistence in case of Logstash or Elasticsearch downtimes.              |
| Logstash (2nd I

## gist:fdb64c196027f140e8621f2f383b9c9c
| Component             | Description                                                                                                                                                       |
|-----------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Sources (Windowsdevices, Syslog, Linux , network devices, apps              | Various data sources such as network devices, servers, applications, etc., send log data.                                                                          |
| Logstash (1st Instance)| Collects and processes the raw log data from various sources and outputs it to Redis for buffering.                                                                |
| Redis                 | Acts as a buffering layer to handle high-throughput log data efficiently and ensure data persistence in case of Logstash or Elasticsearch downtimes.              |
| Logstash (2nd I

## siem_pipeline_1.md

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                allamiro
                / siem_pipeline_1.md
            
            
              Created
              July 11, 2024 20:04
            
              
                SIEM PIPE LINE1
              
          
Component
Description


Sources (Windowsdevices, Syslog, Linux , network devices, apps
Various data sources such as network devices, servers, applications, etc., send log data.


Logstash (1st Instance)
Collects and processes the raw log data from various sources and outputs it to Redis for buffering.


Redis
Acts as a buffering layer to handle high-throughput log data efficiently and ensure data persistence in case of Logstash or Elasticsearch downtimes.


Logstash (2nd I
	\| Component \| Description \|
	\|-----------------------\|-------------------------------------------------------------------------------------------------------------------------------------------------------------------\|
	\| Sources (Windowsdevices, Syslog, Linux , network devices, apps \| Various data sources such as network devices, servers, applications, etc., send log data. \|
	\| Logstash (1st Instance)\| Collects and processes the raw log data from various sources and outputs it to Redis for buffering. \|
	\| Redis \| Acts as a buffering layer to handle high-throughput log data efficiently and ensure data persistence in case of Logstash or Elasticsearch downtimes. \|
	\| Logstash (2nd I
Component	Description
Sources (Windowsdevices, Syslog, Linux , network devices, apps	Various data sources such as network devices, servers, applications, etc., send log data.
Logstash (1st Instance)	Collects and processes the raw log data from various sources and outputs it to Redis for buffering.
Redis	Acts as a buffering layer to handle high-throughput log data efficiently and ensure data persistence in case of Logstash or Elasticsearch downtimes.
Logstash (2nd I