While hyperconverged infrastructures (HCI) offer rapid startup they lock organizations into a specific set of vendor compute, storage, networking and hypervisor configurations. And, as the infrastructure scales it becomes increasingly difficult to deliver workload specific levels of performance and data protection.

1. In this webinar you will learn:
• What are converged and hyperconverged infrastructures?
• How these infrastructures limit flexibility and scalability
• How these infrastructures don't address operational challenges
• What needs to change so they can solve enterprise problems
Hyperconvergence is Broken!
Learn How to Fix it
Webinar
For audio playback and Q&A go to:
http://bit.ly/HCIBroke

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 over 25 years of
experience designing storage solutions for data centers across the US.
Tushar Agrawal is in Product Management at Datrium. He joined the team in 2016.
Prior to Datrium he worked in Hyperconverged Product Management at Atlantis
Computing and spent 5 years at HP Servers in HP Integrity & ProLiant Product
Management.

3. • Bare Metal
• 1 App to 1 Server
• Initial Virtualization
• software added to servers
• Convergence
• pre-integrated servers
• Hyperconvergence
• overly integrated servers
• Open-Convergence
• correctly integrated servers
The Evolution of Virtualization

4. • Existing Technology
• pre-integrated
• Helped with time to first VM
• Carried forward operational
challenges
Converged Infrastructure
Compute
Network
Storage

5. • Helped time to first VM
• Overcompensates for
legacy operational issues
• Creates new operational
issues...
Hyper-Converged Infrastructure
Compute, Network, Storage

6. • Increase in internode traffic
• data protection
• communication
• Interdependence between nodes
• Can’t scale capacity independent of performance
• Node down = storage performance or
protection degradation
Hyper-Converged Operational Issues

7. • Despite the “whiteboard” appeal of
Hyper-converged, dedicated storage
still dominant
• Hyper-converged is the right idea but
wrong execution
• Fix the execution with Open-
Converged
The Result

8. • Architecture
• Compute node with compute,
network, flash storage
• Data node with NVRAM, hard
disk
What Is Open-Converged?

9. • Fully Optimized Flash
• Active data written and read from local flash
• Distributed Services Execution
• Compression, deduplication, encryption,
erasure coding, snapshots computed locally
Two Layer IO

10. • Data Shared and Protected
• All writes to shared data node
• All data always on shared data
node
• Persistent copy of data stored in
data node and globally
deduplicated
Two Layer IO

11. • Compute nodes no longer reliant on each
• Nodes become stateless again
• Nodes can be different types
• Independently scale compute & capacity
• Software-defined, server-powered data services
(eliminate central bottlenecks)
Why Do We Call It Open?

12. © 2017 Datrium, Inc.
Body Level One
© 2017 Datrium, Inc.
About Datrium
Founders
• VMware Principal Engineers meet Data Domain CTOs
Well-Funded
• $110M raised
Record Adoption
• More than 100 deployments in one year

13. © 2017 Datrium, Inc. Proprietary and Confidential
Converged
Infrastructure
Open
Convergence
Hyperconverged
Silos
Datrium DVX
Convergence Done Right
VM Processing
IO Processing
(CPU, Flash)
Durable Data

14. COMPUTE NODES
IO Processing & Local Read Caching
Deduplication, Compression, Erasure Coding, Snapshots, Replication, Encryption
DATA NODE
Persistent Capacity
Redundant HW, NVRAM, Global Deduplication
© 2017 Datrium, Inc. Proprietary and Confidential
Datrium DVX
Splits Speed From Capacity
Stateless compute nodes
No compute node cross-talk
Config-free data durability
Scales with compute nodes
I/O I/O I/O

15. Datrium DVX
Enables Mixed Configurations, Mixed Workloads
Compute
Nodes
Data Node
SQL Server
Analytics
Virtual Desktops
Performance Isolation
between Compute Nodes
Fault Isolation between
Compute and Data Nodes
“The Skyline”
© 2017 Datrium, Inc. Proprietary and Confidential

16. Datrium DVX Rackscale
Open and Converged
Effortless Private Cloud Infrastructure
• Turnkey Compute and Data Nodes
• Open to 3rd Party Servers: No Silos
• Minimum: 1 Compute Node, 1 Data Node
Effortless Data Management
• Granular, policy-driven w/ dynamic binding
• Multi-site, WAN-optimized replication
• End-to-end encryption with data reduction
DVX Compute Nodes
For Speed
• Local flash reads
• CPU for data services
DVX Data Nodes
for Persistence, HA
3rd party servers
with DVX Software

17. 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
Datrium
http://www.datrium.com
Datrium on Twitter:
https://twitter.com/DatriumStorage
Datrium on Facebook:
https://www.facebook.com/datriumdvx/

18. Hyperconvergence is Broken!
Learn How to Fix it
For complete Audio and Q&A please register for the On Demand Version at:
http://bit.ly/HCIBroke