Whats Next For Object Storage Scott Nyman Sr. Director of Product - PowerPoint PPT Presentation

What’s Next For Object Storage Scott Nyman Sr. Director of Product Management/Hitachi Vantara Global Products and Strategy September 2017

“Study the past if you would define the future” - Confucius (a long time ago)

In The Beginning There Was “CAS” Source: Nicolas, Phillip. “The History Boys: Object storage… from the beginning.” The Register July 15, 2016

3 Phases of Object Storage § 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

2) First Followers § Goal: Build a better mouse trap ‒ Drop CAS! Be Restful ‒ Keep retention management ‒ Dragged by struggling standards ‒ XAM, CDMI

3) Beyond Archive § 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

Now The Stage is Set “And there’s something afoot!”

Macro Market Pressures Set In § 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” Containers § …then Software Defined Storage follows ‒ “Turn any server/disk set we give you into an Object Storage system please” Microservices § Containers and Microservices will make it happen

FINALLY , The True Form Comes Into Focus § Customers are now asking for value driving features § Discovering, “and using” , custom metadata Tier 1 Apps Legal Discovery § Emerging Uses: GDPR MiFID 2 PCI DSS PII Analytics

What Is It Then leading To? Intelligent Data Management Built Into Object Storage § 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 Move Secure Transform Dispose Enhance Categorize Analyze

Example 1 – GDPR Regulation Personal Information Right To Be Forgotten Data Usage Approval Audit Reporting

Example 2 – Data Mobility Data Fencing Content Delivery

Example 3 – Connecting To Analytics Give Structure Results Tagging to Unstructured Data Seamless Connection to Analytics Environments

Thank You