![]() ![]() If the 'autoLBVolume' is not reached,īut the 'autoLBFrequency' is, the forwarder switches to another indexer ![]() The forwarder first uses 'autoLBVolume' to determine if it needs to * This setting is closely related to the 'autoLBFrequency' setting. Is randomly selected from the list of indexers provided in the server * The volume of data, in bytes, to send to an indexer before a new indexer TimebasedAutoLB is the default and is set to 30s Time based LB does not work well on its own It can be difficult to optimize for every type of data flow Splunk’s randomized round robin algorithm quickens event distribution It’s not Round Robin (RR), its Randomized RR Larger clusters take longer to get “good” event distributionĭata is distributed across the indexers over timeĮach indexer is allocated 30s of data via Randomized Round Robin List of indexers provided in the server setting of the target groupģ0 seconds of 1 MB/s is 30 MB for each connection! * Every 'autoLBFrequency' seconds, a new indexer is selected randomly from * Use this setting when you are using automatic load balancing of outputs * The amount of time, in seconds, that a forwarder sends data to an indexerīefore redirecting outputs to another indexer in the pool. Generation to that event being searchable It should take between 3-5 seconds from event Search time becomes unbalanced, searches take longer to complete and reducing Why is Good Event Distribution important?Įvent distribution is critical for the even distribution of search (computation) workloadīad event distribution is when the spread of events is uneven across the indexers Use autoLBVolume for variable data rate sourcesĬonfigure LINE_BREAKER and SHOULD_LINEMERGE=falseĮxplicitly configure date time format for each sourcetypeĪ summary of data collection best practicesĮvent distribution is how Splunk spreads its incoming data across multiple indexers Use lots of multiple pipelines on intermediate forwarders Use EVENT_BREAKER and / or forceTimeBasedAutoLB Events must arrive in a timely fashion for alerts to be effective Events must be synchronized in time to corelate across hostsĤ. Event distribution underpins linear scaling is builtģ. ![]() Data collection is the foundation of any Splunk instanceĢ. Why is event collection tuning important?ġ. Self professed data junkie and SPL addict Spreading that Splunk across EMEA since 2013 All other brand names, product names, or trademarks belong to their respective owners. Splunk, Splunk>, Listen to Your Data, The Engine for Machine Data, Splunk Cloud, Splunk Light and SPL are trademarks and registered trademarks of Splunk Inc. Splunk undertakes no obligation either to develop the features or functionalityĭescribed or to include any such feature or functionality in a future release. It is for informational purposes only and shall not be incorporated into any contract InĪddition, any information about our roadmap outlines our general product direction and is subject to changeĪt any time without notice. We do not assume any obligation to update any forward-looking statements we may make. If reviewed after its live presentation, this presentation may not contain current or accurate The forward-looking statements made in this presentation are being made as of the time and date of its live For important factors that may cause actual results to differ from those contained in ourįorward-looking statements, please review our filings with the SEC. We caution you that such statements reflect our currentĮxpectations and estimates based on factors currently known to us and that actual events or results couldĭiffer materially. Improving Event Collection via measurementĭuring the course of this presentation, we may make forward-looking statements regarding future events or ![]()
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