2. 2
Safe Harbor Statement
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 orto includeany suchfeatureor functionalityina futurerelease.
5. 5
Industry Leading Platform For Machine Data
Machine Data: Any Location, Type, Volume
Online
Services Web
Services
Servers
Security GPS
Location
Storage
Desktops
Networks
Packaged
Applications
Custom
ApplicationsMessaging
Telecoms
Online
Shopping
Cart
Web
Clickstreams
Databases
Energy
Meters
Call Detail
Records
Smartphones
and Devices
RFID
On-
Premises
Private
Cloud
Public
Cloud
Platform Support (Apps / API / SDKs)
Enterprise Scalability
Universal Indexing
Answer Any Question
Developer
Platform
Report
and
analyze
Custom
dashboards
Monitor
and alert
Ad hoc
search
6. 6
Industry Leading Platform For Machine Data
Machine Data: Any Location, Type, Volume
Online
Services Web
Services
Servers
Security GPS
Location
Storage
Desktops
Networks
Packaged
Applications
Custom
ApplicationsMessaging
Telecoms
Online
Shopping
Cart
Web
Clickstreams
Databases
Energy
Meters
Call Detail
Records
Smartphones
and Devices
RFID
On-
Premises
Private
Cloud
Public
Cloud
Platform Support (Apps / API / SDKs)
Enterprise Scalability
Universal Indexing
Answer Any Question
Developer
Platform
Report
and
analyze
Custom
dashboards
Monitor
and alert
Ad hoc
search
Any amount, any location, any source
Schema-
on-the-fly
Universal
indexing
No
back-end
RDBMS
No need
to filter
data
6
7. 7
Turn Machine Data into Operational Intelligence
INDEX ANY MACHINE DATA: ANY SOURCE, TYPE, VOLUME
Online
Services Web
Services
Servers
Security GPS
Location
Storage
Desktops
Networks
Packaged
Applications
Custom
ApplicationsMessaging
Telecoms
Online
Shopping
Cart
Web
Clickstreams
Databases
Energy
Meters
Call Detail
Records
Smartphones
and Devices
RFID
On-
Premises
Private
Cloud
Public
Cloud
GAIN REAL-TIME VISIBILITY
Application Delivery
Security and
Compliance
Infrastructure
Monitoring
Business Analytics
Internet of Things
7
8. Fully-integrated Enterprise Platform
8
Enterprise
Scale & HA
Secure
Operation
Splunk Apps
Developer
SDKs/API
Enterprise
Integration
Any Data
Any Source
Collect &
Index Data
Search &
Investigate
Monitor
& Alert
Visualize
& Report
Correlate
& Analyze
Access
Anywhere
Manage
Operations
Platform for Operational Intelligence
9. Setting the Standard for Operational Intelligence
Engine
Platform
1 2 3
2006-2008
Tool
2009-2011 2012-2015
4 4.1 4.2 4.3
5x 6x
“Google for the
datacenter”
“Engine for machine-
generated data”
“Platform for Operational
Intelligence”
9
11. 11
Splunk Enterprise 6.3
Breakthrough
Performance & Scale
Doubles performance
and lowers TCO
• 2x Search & Indexing Speed
• 20-50% Increased Capacity
• 20%+ Reduced TCO
Meeting the needs of the most demanding organizations
Advanced Analysis
& Visualization
High-Volume Event
Collection
Enterprise-Scale
Platform
Supports DevOps and IoT
data analysis at scale
Simplifies analysis of
large datasets
Delivers Enterprise
platform requirements
• Anomaly Detection
• Geospatial Mapping
• Single-Value Display
• HTTP Event Collector
• Developer API & SDKs
• 3rd Party Integrations
• Expanded Management
• Custom Alert Actions
• Data Integrity Control
12. 12
Breakthrough Performance, Scale, TCO
1
Search Performance
Indexing Speed
Intelligent Scheduling
25%+ Capacity Gain
2x Execution Speed
2-4x Data Rate
Vertical scaling maximizes use of CPU power
Total System Capacity
20-50% Increase
Improve speed of searches & reports
Onboard & analyze larger datasets
Optimize resource utilization
Reduce TCO by 20% or more
Comparisons are to Splunk Enterprise 6.2.
Customer performance and TCO will vary according to workload, configuration and available processing capacity.
13. So What Does Breakthrough Mean?
Critical reports can be available in ¼ the time
It takes 20% less indexing hardware (HW) to expand or deploy
Splunk
New data is ready for analysis in ½ the time
1
Splunk expansion costs have dropped over 50% since 2013
A new customer can deploy Splunk using 1/3 the HW vs. 2013
Splunk deployment is now ½ the cost vs. 2013
Release 6.3
vs.
Release 6.2
Release 6.3
vs.
Release 6.0
One of of the key differentiators of Splunk is the ability to digest all machine data and allow users to quickly analyze it for insight. We call this the universal machine data platform. We’ll look at this in more detail in a bit, but for now, understand that the platform was designed around the premise of being able to consume any machine data even if the format changes; something a relational database cannot do.
(Splunk Cloud is only available in the U.S. and Canada.)
Splunk software reliably collects and indexes all the streaming data from IT systems, technology devices and the Internet of Things in real-time - tens of thousands of sources in unpredictable formats and types. Splunk software is optimized for real-time, low latency and interactivity.
Organizations use Splunk software and their data the following ways:
1. Find and fix problems dramatically faster
2. Automatically monitor to identify issues, problems and attacks
3. Gain end-to-end visibility to track and deliver on IT KPIs and make better-informed IT decisions
4. Gain real-time insight from operational data to make better-informed business decisions
This is described as Operational Intelligence: visibility, insights and intelligence from operational data.
Our customers typically start with Splunk to solve a specific problem, and then expand from there to address a broad range of use cases, across application troubleshooting, IT infrastructure monitoring, security, business analytics, Internet of things, and many others that are entirely innovated by our customers.
Here’s how it works. Splunk software and cloud services reliably collect and index machine data, from a single source to tens of thousands of sources. All in real time.
- Once data is in Splunk, you can search, analyze, report-on and derive insights from all your data - across real-time or historical data that may be stored in Hadoop or other NoSQL data sources.
Splunk software provides an open, fully integrated platform. That means you can collect, index, analyze, report and predict on machine-generated data from a single product. It’s enterprise-ready with high availability and disaster recovery features, role-based access control and scales to index hundreds of terabytes per day. It’s an open platform with over 500 Splunk Apps available and allows for custom development.
Splunk Enterprise is the industry leading software for machine data analytics and has been driving innovation and setting the standard for Operational Intelligence since 2006.
In the beginning, we were first to introduce the paradigm of ‘search’ to IT – to troubleshoot IT operations and application management issues much faster than ever before and to find the proverbial “needle in the haystack”. When asking customers, they often referred to it as “google for the datacenter”.
As the product evolved, Splunk 4 - the engine for machine data - introduced enterprise-class features – dashboards and apps, real-time search and alerts, universal collection and indexing, enterprise controls and map-reduce for horizontal scalability on commodity servers.
And then in 2012 we introduced Splunk 5 – this release represented the evolution of Splunk as an Enterprise Platform for Operational Intelligence. It introduced breakthrough innovations and platform features that included:
A new reporting architecture and transparent summarization technology delivering dramatically faster reports
A new high availability architecture delivering enterprise-class scale and resilience, even while scaling on commodity servers and storage
A robust developer API and SDKs available in mainstream programming languages to enable enterprise developers to leverage Splunk software
Big data ecosystem integrations that included Splunk Hadoop Connect, Splunk DB Connect and the Splunk App for HadoopOps
And continuing our strategy of delivering you the Platform for Operational Intelligence we introduce you to Splunk 6 - The most advanced version of Splunk software ever.
Splunk 6 delivers new and powerful analytics features designed for broader use: non-technical and technical users alike. Splunk 6 is our most advanced version of Splunk software ever – the industry-leading machine data platform.
Powerful Analytics:
Splunk Enterprise 6 takes large-scale machine data analytics to the next level by introducing three breakthrough innovations:
Pivot – opens up the power of analytics to non-technical users with an easy-to-use drag and drop interface to explore, manipulate and visualize data
Data Model – defines meaningful relationships in underlying machine data and makes this data more useful to a broader base of users, in particular non-technical users
Analytics Store – patent-pending technology that accelerates data models by delivering extremely high performance data retrieval for analytical processing, up to 1000x faster than Splunk Enterprise 5
The new Pivot interface, combined with Data Models and Analytics Store makes it dramatically easier for non-technical users and technical users alike to analyze and visualize data in Splunk. Now more users than ever are empowered by Splunk software to get insights from their machine data.
Intuitive User Experience:
Splunk Enterprise 6 includes powerful productivity features for users with a more intuitive user experience:
The new Home Experience – gives users instant access to the data, apps and content they care about
The Enhanced Search Experience – brings search and reporting together – so users can author rich – dynamic reports - build visualizations – tables – and custom searches – faster than ever before
Simplified Management
We’ve made Splunk Enterprise 6 easier to deploy, configure and manage – even as customers expand their Splunk Enterprise deployments to the multi-terabyte scale
Simplified Cluster Management – deliver easier management of mission-critical Splunk software deployments providing everything the Splunk admin needs to monitor high availability on a centralized dashboard
Forwarder Management – support big data scale with easy configuration and management of thousands of forwarders across multiple geographies
Rich Developer Environment
And now Splunk Enterprise 6 provides a more powerful developer environment with the integrated Web Framework. Developers can build custom Splunk Apps, customize dashboards, or add advanced functionality - using standard web technologies, such as JavaScript and Django.
Splunk 6 represents a significant milestone in our mission to make machine data accessible, usable and valuable by everyone.
Find out more at www.splunk.com/6
Splunk is the industry-leading platform for Operational Intelligence, delivering both cloud and on-premise solutions tailored to meet the needs of any size organization.
Splunk is increasingly being used as a mission-critical, enterprise-wide operational intelligence source, processing 100's of terabytes of data per day. Release 6.3 continues our journey to support the ever-expanding requirements of the most demanding organizations
Release 6.3 is especially targeted to meet their needs for scalability and management, extended analysis features, analysis of high-volume data from application and IoT events, and new flexible connectivity options to their business and operational systems.
Release 6.3 is a platform release. All 6.3 features are supported on Splunk Enterprise, most on Splunk Cloud, and select features are supported on the Hunk and Splunk Light products
Organizations are increasingly standardizing their datacenter operations on economically priced servers supporting 16 or more CPU cores. Splunk Enterprise Release 6.3 now supports vertical scaling capabilities to take better advantage of this available power to:
Improve search and reporting performance(Double the performance of most search and reporting activities)
Increase data onboarding capacity
(Double the peak data onboarding speed vs Double the data onboarding speed)
Reduce operating costs(Reduce operating costs by 20% or more)
Previously, Splunk made use of available CPU cores to execute multiple simultaneous searches while indexing data. Release 6.3 vertical scaling uses allows both individual searches and the data indexing process to execute more efficiently by using multiple CPU cores per task. For systems with available CPU cores, the benefits are broad performance improvements in search processing, report generation, data on-boarding capacity and data forwarding efficiency.
Why capacity gain overall?
Intelligent scheduling should increase capacity somewhat by optimally scheduling jobs
Allowing indexing to use additional cores means that burst data can be handled on the same system, and generally that more data/day overall can be processed. This does not necessarily require totally free CPUs to be permanently available, it can just use additional when needed
If there is some available CPU capacity, then running searches faster may mean that more can be done
We think most customers are not using their systems to full capacity today. Cores do not have to be otherwise idle in order for gains to be seen
The net effect of all of this is a 20%+ gain. 50% for typical security scenarios
TCO Influencers
Indexer HW reduction
System capacity gains – data/searches; job scheduling
Standardization of datacenter HW configuration on higher core systems
Simpler management: DMC, indexer auto discovery, single-instance indexers and forwarders
Report 1H vs 10 mins – assumes 5 or 6 cores are used. (in next release you can control core usage per search)
Data ready in half the time – this is moving from 4 to 8 cores for indexing – so a burst takes half
20% capacity reflects our guidance changing from 250 to 300 GB/day
20% indexing HW – same reasoning
Tripled since 2013 is our guidance moving from 100 to 300 (6.0 was 100)
Expansion drop 50% - reflects 1/3 less indexer HW, but overall TCO is more than that, so downgraded to 50% instead of saying 66% TCO reduction
1/3 less HW – based on 100 to 300 increase
New cost 50% lower – same as expansion cost