“Be Proactive With Ops Analytics - Leverage your Splunk ... · • Regarding Splunk, what are the key challenges/ limitations that you are experiencing? • Cost • Log Analycs

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“Be Proactive With Ops Analytics - Leverage your Splunk Investment” October 8, 2015

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MarkLairdBSMSIGLeader


Today’s Speakers

Clay Roach CTO

J9 Technologies

JonathanSampsonPrincipalConsultantJ9Technologies


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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QuesIons

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Be Proactive With HP Ops Analytics - Leverage your Investment

www.J9Tech.com © 2015 J9 Technologies, Inc.

•  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.


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.


Poll Question •  Regarding Splunk, what are the key challenges/

limitations that you are experiencing? •  Cost•  LogAnalyIcs•  Dashboards•  PredicIveanalyIcs,metriccorrelaIon&anomalyalerIng•  NotusingSplunktoday


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)


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


Killer Feature #3: Predictive Analytics

•  Automatically adjusts for Seasonality •  Auto-baselining, no manual steps •  Include/combine multiple metrics together


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


… take action BEFORE a problem occurs

Performance Metrics

Dynamic baseline

Threshold

Zone of prevention

Killer Feature #5: Anomaly Alerting


Killer Feature #6: Create Metrics & Dashboards from Splunk Log Data


Poll Question •  Have you installed, evaluated or already using Ops

Analytics? (Yes/No/In Future Plans)


OpsA Splunk Overview

DYNATRACE

OPERATIONS ANALYTICS

Easy Travel App

End User

Log Files

4


J9 Accelerators “All your Data in One Place”


Q&A


HP Discover 2015 London

•  December 1-3, 2015 - London

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•  Check out Vivit Breakout Session! Details to come.


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“Be Proactive With Ops Analytics - Leverage your Splunk ... · • Regarding Splunk, what are the key challenges/ limitations that you are experiencing? • Cost • Log Analycs