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Webinar: Which Storage Architecture is Best for Splunk Analytics?

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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

Published in: Technology
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Webinar: Which Storage Architecture is Best for Splunk Analytics?

  1. 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. 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. 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. 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. 5. CONFIDENTIAL 4 ClearSky's global storage network delivers enterprise storage, spanning the entire data lifecycle, as a fully-managed service.
  6. 6. Machine Data And Splunk • What is Machine Generated Data? • Why is Machine Generated Data increasing in value?
  7. 7. Machine Data And Splunk • What is Splunk? • Why is Splunk a leader in Machine Data analytics?
  8. 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. 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. 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. 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. 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. 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. 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
  15. 15. 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
  16. 16. 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

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