![]() ![]() See Scale your deployment with Splunk Enterprise components in the Distributed Deployment Manual.įor more examples of advanced configurations, see for detailed information on advanced Universal Forwarder setups. This configuration keeps multiple copies of your data, increasing protection from data loss and availability of data. In addition to being distributed, you combine multiple indexers to form an indexer cluster. You’ll want to use the following arguments on this install: With all of these set the /quiet flag should also work. The installation arguments for the MSI are detailed in the Splunk documentation. For Symantec Endpoint Protection, you can put the SEP server in a configuration where it will write out temp files that a Splunk Universal. This setup includes Indexer clustering with an appropriately configured data replication policy. You can do the deployment via the MSI with some configuration flags. See Scale your deployment with Splunk Enterprise components in the Distributed Deployment Manual. This is a great option if your daily data volume exceeds the capacity of a single-server deployment, or you want highly available data ingest. It has both an indexer getting data from several inputs, and a search head, which searches across all the data found in this indexer. In a distributed deployment, the indexing logic and the data search logic are separated. If one indexer is down, the forwarder immediately switches to another. The forwarder might switch from indexer B to indexer A to indexer C, and so on. For example, if you have a load-balanced group that consists of indexer A, B, and C, at a specified interval, the forwarder switches the data stream to another indexer in the group at random. The forwarder routes data to different indexers on a specified time or volume interval that you can specify. See Set up load balancing in the Forwarding Data manual. Forwarders perform load balancing automatically. If a host goes down, the forwarder sends data to the next available receiver. Each receiver gets a portion of the total data, and together the receivers hold all the data. ![]() See the following Universal Forwarder advanced setup examples:ĭuring load balancing, a forwarder distributes data across several receiving instances. Advanced configurations for the universal forwarder ![]()
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