thx squire
So using the following calculations from this search ..
| dbinspect index=*
| search tsidxState="full"
| stats min(startEpoch) as MinStartTime max(startEpoch) as MaxStartTime min(endEpoch) as MinEndTime max(endEpoch) as MaxEndTime max(hostCount) as MaxHosts max(sourceTypeCount) as MaxSourceTypes sum(eventCount) as TotalEvents sum(rawSize) as TotalRawDataSizeMB sum(sizeOnDiskMB) as TotalDiskDataSizeMB by state
| eval TotalRawDataSizeMB =round((TotalRawDataSizeMB/1024/1024),6)
| eval MinStartTime=strftime(MinStartTime,"%Y/%m/%d %H:%M:%s")
| eval MaxStartTime=strftime(MaxStartTime,"%Y/%m/%d %H:%M:%s")
| eval MinEndTime=strftime(MinEndTime,"%Y/%m/%d %H:%M:%s")
| eval MaxEndTime=strftime(MaxEndTime,"%Y/%m/%d %H:%M:%s")
| eval PercentSizeReduction=round(((TotalRawDataSizeMB-TotalDiskDataSizeMB)/TotalRawDataSizeMB)*100,2)
Run over a 90 day period
(if that was how long i wanted to keep my hot\warm data before rolling to cold)
state TotalRawDataSizeMB TotalDiskDataSizeMB PercentSizeReduction
cold 27315.003618 8304.898440 69.60
hot 49257.884926 15460.234388 68.61
warm 1569389.609292 599056.425956 61.83
Total hot & warm usage on disk = roughly 600GB
So a 1TB SSD would suffice in this instance ?
If a disk of that size was unavailable could we split those indexes and put the ones we use most on the SSD and the others leave where they are ?
How would you make the same calculation for the DMA Summaries ?
... View more