index=_internal sourcetype=splunk_web_access [ rest / splunk_server=local | fields splunk_server | rename splunk_server as host ] | bin _time span=1d | stats count by date_hour _time | appendpipe [ fields _time | dedup _time | eval date_hour=mvrange(0,24,1) | eval count=0 | mvexpand date_hour ] | stats sum(count) as count by date_hour _time | stats avg(count) as avg by date_hour | eval avg=round(avg) | sort date_hour | rename date_hour as "Hour of the day", avg as "Average hits on Splunk Web"
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index=_internal source=*license_usage.log type="Usage" splunk_server=* earliest=-1w@d | eval Date=strftime(_time, "%A") | eventstats sum(b) as volume by idx, Date | eval MB=round(volume/1024/1024,5)| timechart first(MB) AS Volume by idx
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| tstats dc(host) as Host by date_month | rename date_month as Month | eval Month=upper(substr(Month,1,1)).lower(substr(Month,2))
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index=_internal | where host!=splunk_server | stats values(series) as Sourcetypes by host | rename host as Host
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index=_internal sourcetype="splunkd" log_level="ERROR" | stats sparkline count dc(host) as uniquehosts last(event_message) as event_message last(_time) as last first(_time) as first by punct | eval last=strftime(last,"%b %d, %Y %H:%M:%S"), first=strftime(first,"%b %d, %Y %H:%M:%S") | table event_message count uniquehosts first last sparkline | sort -count | rename event_message as "Error" count as Count uniquehosts as "Affected Hosts" first as "First Occurance" last as "Most Recent Occurance", sparkline as Trend
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index=_internal sourcetype="splunkd" log_level="ERROR" host!=splunk_server | stats count by host, event_message | sort - count | rename host as Host, event_message as "Error", count as Count
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index="_internal" source="*metrics.log*" group=tcpin_connections NOT eventType=* | eval sourceHost=if(isnull(hostname), sourceHost,hostname) | search sourceHost=* | timechart per_second(kb) by sourceHost WHERE max in top5 useother=f | rename sourceHost as UF
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index=_audit action="login*" info=succeeded | dedup user | table user timestamp
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index=_audit sourcetype=audittrail action="db_connect*" | eval Date=strftime(_time, "%b %d, %Y") |rex field=_raw "user=(?<user>\w+)," | stats count as Count by Date, user, info, action
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index="_internal" source="*metrics.log" group="per_sourcetype_thruput" | eval GB=kb/1024/1024 | chart sum(GB) as "GB Ingested" avg(eps) as "Events per Second" over series | eval "GB Ingested"=round('GB Ingested',4), "Events per Second"=round('Events per Second',4) | rename series as Log
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