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© 2017 SPLUNK INC. © 2017 SPLUNK INC. NOVEMBER 15 | FRANKFURT

Splunk Forum Frankfurt - 15th Nov 2017 - .conf2017 Update

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Page 1: Splunk Forum Frankfurt - 15th Nov 2017 - .conf2017 Update

© 2017 SPLUNK INC.© 2017 SPLUNK INC.

NOVEMBER 15 | FRANKFURT

Page 2: Splunk Forum Frankfurt - 15th Nov 2017 - .conf2017 Update

© 2017 SPLUNK INC.

.conf2017 Update

Dirk Nitschke | Senior Sales Engineer

NOVEMBER 15 | FRANKFURT

Page 3: Splunk Forum Frankfurt - 15th Nov 2017 - .conf2017 Update

© 2017 SPLUNK INC.

During the course of this presentation, we may make forward-looking statements regarding future events or

the expected performance of the company. We caution you that such statements reflect our current

expectations and estimates based on factors currently known to us and that actual events or results could

differ materially. For important factors that may cause actual results to differ from those contained in our

forward-looking statements, please review our filings with the SEC.

The forward-looking statements made in this presentation are being made as of the time and date of its live

presentation. If reviewed after its live presentation, this presentation may not contain current or accurate

information. We do not assume any obligation to update any forward looking statements we may make. In

addition, any information about our roadmap outlines our general product direction and is subject to change

at any time without notice. It is for informational purposes only and shall not be incorporated into any contract

or other commitment. Splunk undertakes no obligation either to develop the features or functionality

described or to include any such feature or functionality in a future release.

Splunk, Splunk>, Listen to Your Data, The Engine for Machine Data, Splunk Cloud, Splunk Light and SPL are trademarks and registered trademarks of Splunk Inc. in

the United States and other countries. All other brand names, product names, or trademarks belong to their respective owners. © 2017 Splunk Inc. All rights reserved.

Forward-Looking Statements

THIS SLIDE IS REQUIRED FOR ALL 3 PARTY PRESENTATIONS.

Page 4: Splunk Forum Frankfurt - 15th Nov 2017 - .conf2017 Update

© 2017 SPLUNK INC.

▶ .conf2017?

▶ Splunk Security Essentials for Fraud Detection

▶ Splunk ES Content Updates

▶ Splunk ITSI 3.0

▶ Splunk Enterprise 7.0

▶ .conf18!

Agenda

Page 5: Splunk Forum Frankfurt - 15th Nov 2017 - .conf2017 Update

© 2017 SPLUNK INC.

.conf2017

Page 6: Splunk Forum Frankfurt - 15th Nov 2017 - .conf2017 Update

© 2017 SPLUNK INC.

>7,100Splunk Enthusiasts

>300Technical Sessions

71Partner in the

source=*Pavilion

82,000Hours of Education

delivered

.conf2017 Experience in Numbershttps://conf.splunk.com/

Page 7: Splunk Forum Frankfurt - 15th Nov 2017 - .conf2017 Update

© 2017 SPLUNK INC.

.conf2017 Fun!

Page 8: Splunk Forum Frankfurt - 15th Nov 2017 - .conf2017 Update

© 2017 SPLUNK INC.

Splunk Security Essentials Appshttps://splunkbase.splunk.com/apps/#/search/Splunk%20Security%20Essentials/

Page 9: Splunk Forum Frankfurt - 15th Nov 2017 - .conf2017 Update

© 2017 SPLUNK INC.

Splunk Security Essentials for Fraud Detectionhttps://splunkbase.splunk.com/app/3693/

Page 10: Splunk Forum Frankfurt - 15th Nov 2017 - .conf2017 Update

© 2017 SPLUNK INC.

Splunk ES Content Updates

Page 11: Splunk Forum Frankfurt - 15th Nov 2017 - .conf2017 Update

© 2017 SPLUNK INC.

Splunk ES Content Updates

Page 12: Splunk Forum Frankfurt - 15th Nov 2017 - .conf2017 Update

© 2017 SPLUNK INC.

Splunk IT Service Intelligence 3.0

Page 13: Splunk Forum Frankfurt - 15th Nov 2017 - .conf2017 Update

© 2017 SPLUNK INC.

The Tools You Have Don’t Work

Event overload | Silos of “monitoring” | Loss of data fidelity | Manual events interpretation

Custom integrations | Rules management overhead | Context and impact blindness

Alert Storm

Bloated

Products and

Features

Cumbersome

Rules

Management

Complex

Integrations

Page 14: Splunk Forum Frankfurt - 15th Nov 2017 - .conf2017 Update

© 2017 SPLUNK INC.

Splunk ITSI for Event AnalyticsSimplify Your Operations With Artificial Intelligence and Service Context

Find and fix the most

important issues

Transform IT operations with

machine learningGet a full view of your IT

environment

Service Context Artificial Intelligence Scalable Platform

Reduce time-to-resolution on

business-critical services

Enable IT with intelligence for

data-driven decisions

Share customized insights across the

enterprise to enable business-centric IT

Contextualize and prioritizeSeparate valuable signal

in noise

Respond collaboratively

and simplify operations

10010010100010

01010011001101

0110010111000110

11010111010101100010011101011000

Page 15: Splunk Forum Frankfurt - 15th Nov 2017 - .conf2017 Update

© 2017 SPLUNK INC.

Splunk Enterprise 7.0The easiest way to aggregate, analyze, and get answers from your machine data

Automate, collect, index,

and visualize your machine

data in real time.

Monitor

Discover insights from any

machine data–structured or

unstructured.

Investigate

Analyze, predict, and act

on outcomes from your

machine data.

Build Intelligence

Page 16: Splunk Forum Frankfurt - 15th Nov 2017 - .conf2017 Update

© 2017 SPLUNK INC.

▶ Immutable record of discrete events that happen over time

▶ Come in different forms: unstructured, semi-structured, structured

▶ Common event sources:

• System and server logs (syslog, journald)

• Firewall and intrusion detection system logs

• Application, platform and server logs (log4j, log4net, Apache, MySQL, AWS)

Events…Two distinct machine data sources that have been hard to integrate…until now

[29/Aug/2017 08:47:05:316503] "POST /cart.do?uid=84e8d742-a31d69&action=remove&&product_id=BS-

2&JSESSIONID=SD6SAL4FF1ADFF9 HTTP 1.1" 200 2569 "http://www.buttercupenterprises.com/product.screen?

product_id=BS-2" "Mozilla/5.0 (Intel Mac OS X 10_12_2) AppleWebKit/537.36 (KHTML, like Gecko)

Chrome/57.0.2957.0 Safari/537.36" 98

Sample Log

Equivalent to

1 metric value

Monitor

Page 17: Splunk Forum Frankfurt - 15th Nov 2017 - .conf2017 Update

© 2017 SPLUNK INC.

▶ Numbers describing a particular process or activity

▶ Measured over intervals of time–i.e., time series data

▶ Common metrics sources:

• System metrics (CPU, memory, disk)

• Infrastructure metrics (AWS CloudWatch)

• Web tracking scripts (Google Analytics)

• Application agents (APM, error tracking)

… and MetricsTwo distinct machine data sources that have been hard to integrate…until now

Timestamp Metric Name Value Dimensions

1481050800 os.cpu.user 42.12345 hq:us-west-1

Sample Metric

Monitor

Page 18: Splunk Forum Frankfurt - 15th Nov 2017 - .conf2017 Update

© 2017 SPLUNK INC.

▶ Performance improvement for monitoring and alerting using metrics data

▶ Sample use cases: CPU utilization, temperature, app downloads

▶ All Splunk Platform benefits apply:

• Visualizations and alerting

• Role-based access controls

• Data onboarding

• Clustering, Scaling, Alerting

• Leverage open source for existing sourcetypes (statsd, collectd)

Splunk MetricsTaking the meh out of metrics

Monitor

Metrics car telemetry dashboard–

example of high volume data, large # of

searches in one dashboard

Page 19: Splunk Forum Frankfurt - 15th Nov 2017 - .conf2017 Update

© 2017 SPLUNK INC.

▶ Adds context to any time chart(e.g., line, column, area)

▶ Correlates logs and metrics in a single view

▶ Enables you to pull markers and labels from many sources(e.g., log data, lookup files, or external sources)

Splunk Event AnnotationSurfacing more visual insights from your data

Investigate

Metrics with

Event Annotation

Page 20: Splunk Forum Frankfurt - 15th Nov 2017 - .conf2017 Update

© 2017 SPLUNK INC.

SPLUNK SEARCH PREMIUM SOLUTIONS MACHINE LEARNING TOOLKIT

Platform for Operational Intelligence

Platform for turning machine data into answers

Splunk Machine LearningLeading platform for analyzing, predicting, and acting on outcomes from machine

data

Page 21: Splunk Forum Frankfurt - 15th Nov 2017 - .conf2017 Update

© 2017 SPLUNK INC.

▶ Model management fully integrated with Splunk's role-based access controls

▶ Out-of-the-box algorithms and parameter tuning added for forecasting time series data

▶ Re-factored API makes it easier to import custom algorithms, and export as SplunkbaseTM apps

Splunk Machine Learning Toolkit 3.0Guided and easy-to-use interface, modeling assistance and ready-to-use examples

Predict Numeric Fields Detect Numeric Outliers

Forecast Time Series Cluster Numeric Events

Build Intelligence

Page 22: Splunk Forum Frankfurt - 15th Nov 2017 - .conf2017 Update

© 2017 SPLUNK INC.

Splunk Enterprise 7.0 Overview Apphttps://splunkbase.splunk.com/app/3691/

Page 23: Splunk Forum Frankfurt - 15th Nov 2017 - .conf2017 Update

© 2017 SPLUNK INC.

▶ 9:45 – 10:15 Splunk und die neue EU-DSGVO

Business Track Technical Track

▶ 10:45 – 11:45 Der Mehrwert ausDaten-getriebener Service Intelligence (AI Ops)

▶ 11:45 – 12:45 Aufbau eines SOC mitSplunk

▶ 10:45 – 11:45 Threat Hunting mitMachine Learning

▶ 11:45 – 12:45 Machine Learning fürEvent Management

Wie geht es heute weiter?

Page 24: Splunk Forum Frankfurt - 15th Nov 2017 - .conf2017 Update

© 2017 SPLUNK INC.

What About Florida in October?

Page 25: Splunk Forum Frankfurt - 15th Nov 2017 - .conf2017 Update

© 2017 SPLUNK INC.© 2017 SPLUNK INC.

THANK YOU

Page 26: Splunk Forum Frankfurt - 15th Nov 2017 - .conf2017 Update

© 2017 SPLUNK INC.© 2017 SPLUNK INC.

NOVEMBER 15 | FRANKFURT