Hitachi Vantara - Object Storage Future

Hitachi Vantara presentation about object storage directions presented during NEXT 2017 conference

Transcript

1. What’s Next For Object Storage Scott Nyman Sr. Director of Product Management/Hitachi Vantara Global Products and Strategy September 2017
2. “Study the past if you would define the future” - Confucius (a long time ago)
3. In The Beginning There Was “CAS” Source: Nicolas, Phillip. “The History Boys: Object storage… from the beginning.” The Register July 15, 2016
4. § 1) Content Addressed Storage ‒ Focus on archiving “Fixed Content” ‒ Could store system and custom metadata ‒ Retention management features catch lightning in bottle ‒ SEC17a4 ‒ Legitimizes CAS as separate class of storage 3 Phases of Object Storage
5. § Goal: Build a better mouse trap ‒ Drop CAS! Be Restful ‒ Keep retention management ‒ Dragged by struggling standards ‒ XAM, CDMI 2) First Followers
6. § Here Comes the Cloud ‒ Focus: SCALE and COST ‒ Erasure coding (larger disks, efficient DR) ‒ New data management features ‒ Versioning & Tiering to Cloud ‒ Amazon’s S3 becoming defacto standard ‒ Application adoption increases 3) Beyond Archive
7. Now The Stage is Set “And there’s something afoot!”
8. § Enterprise need for hybrid cloud storage ‒ “Help us dip our toes in the cloud” § Software-Only comes first… ‒ “We have “LOTS’ of servers, let us use them” § …then Software Defined Storage follows ‒ “Turn any server/disk set we give you into an Object Storage system please” § Containers and Microservices will make it happen Macro Market Pressures Set In Containers Microservices
9. § Customers are now asking for value driving features § Discovering, “and using”, custom metadata § Emerging Uses: FINALLY, The True Form Comes Into Focus Legal Discovery Analytics GDPR MiFID 2 PCI DSS PII Tier 1 Apps
10. § Key Concepts ‒ Object data awareness ‒ Importance of being “In the data path” ‒ Data management policies driven by metadata ‒ Actions controlled by Lambda-like architectures in the object storage What Is It Then leading To? Intelligent Data Management Built Into Object Storage Move Secure Dispose Enhance Categorize Analyze Transform
11. Example 1 – GDPR Regulation Right To Be Forgotten Audit Reporting Data Usage Approval Personal Information
12. Example 2 – Data Mobility Data Fencing Content Delivery
13. Example 3 – Connecting To Analytics Give Structure to Unstructured Data Results Tagging Seamless Connection to Analytics Environments
14. Thank You