We discuss the pros and cons of the three most common storage architectures for Splunk, enabling you to decide which makes the most sense for your organization. 1. Leverage existing storage resources 2. Deploy a cloud storage and SaaS solution 3. Deploy a hybrid, Splunk-ready solution

1. Which Storage Architecture is Best for Splunk
Analytics?
A live panelist discussion on the best storage strategy for Splunk
● Should you leverage existing storage resources
● Should you deploy a cloud storage and SaaS solution
● Should you deploy a hybrid, Splunk-ready solution
On Demand Webinar
For audio playback and Q&A go to:
http://bit.ly/SplunkAnaly

2. Our Speakers
George Crump is the founder of Storage
Switzerland, the leading storage analyst focused on
the subjects of big data, solid state storage,
virtualization, cloud computing and data protection.
He is widely recognized for his articles, white papers,
and videos on such current approaches as all-flash
arrays, deduplication, SSDs, software-defined
storage, backup appliances, and storage networking.
He has 25 years of experience designing storage
solutions for data centers across the US.

3. ● Analyst firm focused on storage, cloud
and virtualization
● Knowledge of these markets is gained
through product testing and interaction
with end users and suppliers
● The results of this research can be
found in the articles, videos, webinars,
product analysis and case studies on
our web site:
http://storageswiss.com
Who Is Storage Switzerland?

4. Our Speakers
Neil Glazebrook, VP Product Management, ClearSky Data
Neil leads the product management team at ClearSky. Throughout his career he has
served in various senior product management positions, bringing complex
networking and video technologies to market. Before joining ClearSky Data, Neil was
a product manager in Akamai's media business unit, and then in a channel sales role
managing six of Akamai’s largest media channel partners.
Prior to Akamai, Neil held senior product management roles at Cisco Systems over
the course of 13 years. During that time, he spearheaded the formation of Cisco’s
video networking business unit and was a key member of the integration team that
oversaw the Arroyo acquisition. He led early adoption of solid state drives for Cisco’s
service provider video product portfolio, helping drive down costs while dramatically
increasing streaming cache performance and session density.
Neil co-authored an IEEE paper on multicast IPTV distribution and error correction.
He recently earned an MBA with Honors from Babson College.

5. CONFIDENTIAL 4
ClearSky's global storage network
delivers enterprise storage,
spanning the entire data lifecycle,
as a fully-managed service.

6. Machine Data And Splunk
• What is Machine
Generated Data?
• Why is Machine
Generated Data
increasing in value?

7. Machine Data And Splunk
• What is Splunk?
• Why is Splunk a
leader in Machine
Data analytics?

8. A Typical Splunk Workflow
• Data is collected from
devices
• Stored on high
performance storage for ~
14 days
• Processed by Splunk
• Moved back to cost
effective storage

9. Splunk Demands High Performance,
Scalable Storage Infrastructure
• Storage has to scale to very large capacities
• Scaling has to be easy and on-demand
• And it has to be cost effective
But...
• At times Splunk needs very high
performance storage during processing
• And you never really know what range of
machine data will be needed

10. Splunk Makes Enterprises Re-think
Storage
• Few legacy storage architectures
can deliver very high performance
and very high capacity
• Cloud hosted analytics get
expensive over time
• Traditional hybrid cloud solutions
introduce too much latency during
data transfers

11. Splunk Storage Workarounds -
Legacy Architectures
• Not designed for high performance
and high scalability
• Leads to multiple systems/vendors
• Lack of automation to move data
between opposing storage vendors
• Consumes data center floor space
• Increases organizational power and
cooling costs

12. Splunk Storage Workarounds -
Cloud Hosted Analytics
• Moves the entire analytics
processing to the cloud
• Data integration
complexity
• Security risks
• SaaS and/or cloud vendor
lock-in

13. Splunk Storage Workarounds -
Generation 1 Hybrid Cloud Storage
• On-premises cache to cloud storage back-
end
• Step in the right direction - limits on-prem
costs and leverages cloud elasticity
• But cloud latency is a huge problem - takes
too long to pull data from cloud
• Leads to very large on-prem deployments,
eliminating cost savings

14. A Splunk Storage Solution
• On-premises cache to more local
point of access acting as warm
storage
• Latency similar to on-prem storage
• In-data center cache can remain
small
• Warm storage can eventually move
data to cloud storage for cost savings

27. Thank you!
Storage Switzerland
http://www.storageswiss.com
georgeacrump@storageswiss.com
StorageSwiss on Twitter:
http://twitter.com/storageswiss
StorageSwiss on YouTube:
http://www.youtube.com/user/storageswiss
ClearSky
http://www.clearskydata.com
ClearSky on Twitter:
http://twitter.com/ClearSkyData
ClearSky on YouTube:
http://www.youtube.com/c/clearskydata

28. Which Storage Architecture is Best for Splunk
Analytics?
For Complete Audio and Q&A please register
for the On-Demand Version at
http://bit.ly/SplunkAnaly