“be proactive with ops analytics - leverage your splunk ... · • regarding splunk, what are the...
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©Copyright2015VivitWorldwide©Copyright2015VivitWorldwide
“Be Proactive With Ops Analytics - Leverage your Splunk Investment” October 8, 2015
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Today’s Speakers
Clay Roach CTO
J9 Technologies
JonathanSampsonPrincipalConsultantJ9Technologies
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Housekeeping
• This “LIVE” session is being recorded Recordings are available to all Vivit members
• Session Q&A: Please type questions in the Questions Pane
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Webinar Control Panel
QuesIons
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• Great tool, hard-core following and support • Good looking dashboards • Easy to adopt – quick time to value
• But…. • Expensive (How many FTE’s??) • Designed around log search • Reactive-only
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 9
Log Searching Isn’t Enough… HP Ops Analytics Others
Log searches ü ü Statistics ü ü
Scalable data store
ü X Log analysis Automated X
Predictive analytics Automated X Anomaly detection Automated X
© Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 10
Key Differentiators – Splunk vs OpsA Finding and Diagnosing Unknown Root Cause
Topology Makes the Difference
Predictive Analysis helps to prevent problems
“With Splunk we don’t know how to find the problem. When we ran [OpsA], the important event stood out.” With HP OpsA Log Analytics, Splunk Expert located root cause of the problem in less than 30 minutes.
“Splunk simply doesn't have it & we found [topology] very helpful when you have a problem in the app that spans many hosts.” Splunk is unable to use service topology for complex troubleshooting.
“HP OpsA is much faster and easier than Splunk” for predictive analytics.” “HP OpsA can analyze behavior and seasonal trends and generate a prediction line for metrics. “ Splunk: OOTB has “predict” command to create 1 graph with 1 metric. Difficult to use.
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Poll Question • Regarding Splunk, what are the key challenges/
limitations that you are experiencing? • Cost• LogAnalyIcs• Dashboards• PredicIveanalyIcs,metriccorrelaIon&anomalyalerIng• NotusingSplunktoday
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 12
Killer Feature #1: Log Analytics
Automatically reveals time and count of most
significant log events.
Algorithmic and user input event/message “significance” based on: • Distance from problem time (via user) • Severity • Specific Keywords (i.e. “Exception”) • Repetition and seasonality • User Feedback (“liking” a log message or event)
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 13
Killer Feature #2: Topology
Topology Key Benefits • Easy visual association
between endpoints • Simplifies filtering/
searching • Faster analysis • Pinpoints all servers and
VM’s spanning an issue
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 14
Killer Feature #3: Predictive Analytics
• Automatically adjusts for Seasonality • Auto-baselining, no manual steps • Include/combine multiple metrics together
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 15
Killer Feature #4: Quick Integration with Splunk
GUI Workflow-driven configuration Automated mapping of Splunk fields into OpsA Assignment of error levels for Log Analytics feature
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… take action BEFORE a problem occurs
Performance Metrics
Dynamic baseline
Threshold
Zone of prevention
Killer Feature #5: Anomaly Alerting
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Killer Feature #6: Create Metrics & Dashboards from Splunk Log Data
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Poll Question • Have you installed, evaluated or already using Ops
Analytics? (Yes/No/In Future Plans)
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OpsA Splunk Overview
DYNATRACE
OPERATIONS ANALYTICS
Easy Travel App
End User
Log Files
4
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HP Discover 2015 London
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