Getting Data In

Performance data collecting and analytics

kiranmudunuru
New Member

I have a tool which has its performance data in its database. i am getting the output of it in a flat file and then intend to read it to provide some analytics based on the performance data that is captured.

However, need some assistance/ guidance on this. any tips on this will be most welcome.

Regards,
KM

Tags (1)
0 Karma
1 Solution

jordanperks
Path Finder

Install the Splunk Universal forwarder and point it at the file. If you want to do some predictions and anomaly detection check out the predict command (I think it was introduced in Splunk 6.0). http://docs.splunk.com/Documentation/Splunk/6.0/SearchReference/Predict

Here is an example of how I am using the predict command in order to determine when Symantec detects more viruses/hour than normal:
index=symantec (virus OR "security risk" OR "web attack") NOT "Tracking Cookies" earliest=-21d@d latest=now | rex "(?i) name: (?P[^,]+)" | bucket span=1h _time | timechart span=1h count(virus_host) as count | predict count | rename upper95(prediction(count)) as upper95 | fieldformat upper95=round(upper95,0) | sort -_time | eval Percent=round(upper95/count*100,0) | eval PercentAbove95thPecentile=round(100-Percent,0) | fields - Percent,lower95(prediction(count)),prediction(count) | fillnull value=0 count PercentAbove95thPecentile | head 10 | where PercentAbove95thPecentile>=1

View solution in original post

0 Karma

jordanperks
Path Finder

Install the Splunk Universal forwarder and point it at the file. If you want to do some predictions and anomaly detection check out the predict command (I think it was introduced in Splunk 6.0). http://docs.splunk.com/Documentation/Splunk/6.0/SearchReference/Predict

Here is an example of how I am using the predict command in order to determine when Symantec detects more viruses/hour than normal:
index=symantec (virus OR "security risk" OR "web attack") NOT "Tracking Cookies" earliest=-21d@d latest=now | rex "(?i) name: (?P[^,]+)" | bucket span=1h _time | timechart span=1h count(virus_host) as count | predict count | rename upper95(prediction(count)) as upper95 | fieldformat upper95=round(upper95,0) | sort -_time | eval Percent=round(upper95/count*100,0) | eval PercentAbove95thPecentile=round(100-Percent,0) | fields - Percent,lower95(prediction(count)),prediction(count) | fillnull value=0 count PercentAbove95thPecentile | head 10 | where PercentAbove95thPecentile>=1

0 Karma
Got questions? Get answers!

Join the Splunk Community Slack to learn, troubleshoot, and make connections with fellow Splunk practitioners in real time!

Meet up IRL or virtually!

Join Splunk User Groups to connect and learn in-person by region or remotely by topic or industry.

Get Updates on the Splunk Community!

Persistent Queue at TcpOut — One of Splunk's Most Practical Features

Splunk introduced persistent queueing at the tcpout layer as one of the most practical resilience features in ...

Catalog Is Now Generally Available on Splunk Cloud Platform

A Unified View of Your Data  Security logs, application events, business data, and historical telemetry often ...

Your Path to AgenticOps: AI Experiences for Every Splunk Practitioner

Your Path to AgenticOps: AI Experiences for Every Splunk Practitioner   Watch on demand us for a demo-driven ...