The Splunk Universal Forwarder doesn’t have these limitations and can be used to reliably and efficiently collection Windows events from a large distributed Enterprise. Many Windows event collection tools have various limitations such as the truncation of events at 512 or 1024 bytes. Use a consistent naming scheme on the Splunk Search Heads, Indexers to ensure accuracy and reduce troubleshooting time.Ĭarefully plan the deployment of Windows event collection (Event logs and Performance data) to ensure success. All of this makes your Splunk deployment more extensible, provides better access control options, and allows for fine-grained troubleshooting and analysis. Such as: management, log collection, web UI/search head and use separate IPs for different major sourcetypes. Use separate IP addresses whenever possible. This will improve the search head’s speed in accessing the events. Try to keep search heads as close to indexers as possible. These events can be collected with a Splunk Universal Forwarder, and then sent to indexers which may be a central location. Try to collect events as close (in terms of geography and network location) as possible. See this great blog-post on Sourcetype naming. If the events are generated by the same device and are in the same format, they should most likely be one sourcetype. Use sourcetypes to group data by their similarity. Indexes and sourcetypes assist in data management. These two things will be difficult to change later. For large deployments, a stand-alone system is important This system is typically co-located with the Deployment server.
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This system typically acts as the License Master. For large deployments, a stand-alone system is important. This system can be collocated with other Splunk services, or stand-alone. This separate system will distribute any search request across all configured search-peers improve search performance.Ī separate search head is shown here to support Splunk’s Enterprise Security (ES) applicationĭeployment Server. This strategy reduces search time and provides some redundancy of data-ingest and availability should a single server fail Multiple clustered search-peers (indexers) improves performance both during data-ingest and search. This architecture has several key components such as:Īn indexer tier with indexer clustering. Largely, most of this applies to most environments we see. A successful implementation is one that is efficient, scalable, follows information security best-practice, and is, most importantly, useful.Īlthough everything here is valuable, some of it does not apply for very small or specific implementations of Splunk. Many of these items come up time and time again during engagements and consideration of these items will result in a more successful implementation.
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The recommendations in this document were compiled by Aplura‘s staff over their many years of Splunk administration and professional services engagements.
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