6. CLOUD ENABLED STORAGE
DATALAKE
DATACENTER
Through 2020, IDC predicts 4.5x faster spending on cloud
based big data analytics then on-premise solutions
By 2020, IDC predicts that usage of big data analytics for
actionable intelligence will double over today
On premise and Cloud use of Hybrid Analytics will become a
dominant use of the technology
More specifically – Moving data from On-Premise to the Cloud
and Back
12. Ability to:
• Enact Policy Based Data Movement
• Migrate data from On-Prem to Cloud
and vice versa
• Leverage Hybrid Analytics to greatest
Effect
To The Cloud and Back
16. Problem Domain
1. File movement automation in place today is labor intensive and fraught with
peril
2. Non-prescriptive file movement out of the cloud will be extremely expensive
with limited value in return.
3. Most file movements might not return to exactly the same target location. For
example:
Location 1,
File 1 Location 2,
File 1 –
begets File 2
Location 3,
File 2
17. What if….
1. There was a way to move files by policy (i.e., rules based) to various
locations, including the cloud and back
1. For Example – only target net new files created in the cloud in certain
directories for movement.
2. The rules based file movement could allow for multiple targets and / or
destinations for files.
1. For Example – move net new files in one directory to a single argetand
net new files in a second directory to three targets.
19. Our Journey to Here
1. OneFS already is a software defined asset.
1. SDEdge is a software defined storage offering
2. CloudPools is a software feature in SDEdge that uses the Public Cloud
(Azure, AWS, Google) as a back up target
2. OneFS has been loaded and run in the public cloud as noted in the previous
slide.
3. Dell EMC has a long history of data mobility across our product suite
(replication, backups, etc)
4. Dell EMC has a long history of policy based file movement features.
20. Futures
1. We are exploring what OneFS with all its features and abilities to move data
up to the cloud and back would look like.
2. What about a cloud environment that contained a OneFS daemon that
allowed policy based file movement.?
3. The cloud environment file movement (up and back) could be controlled by a
Isilon cluster
The challenge is: These applications require two distinct architectural paradigms.
Traditional applications tend to be built in a vertically scaling manner. As more resources are required the systems on which they run must grow to support the scale-up of the individual app. Because of this design, application ecosystems tend to be contained within the boundary of a single datacenter. This has resulted in a model where resiliency and availability was delivered by the infrastructure itself. Additionally, in order to ensure system wide stability a rich set of checks and balances and change control methodologies emerged and were codified into a set of IT processes known as ITIL.
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Cloud native Applications, on the other hand, are built on a set of micro-services that scale horizontally rather than vertically. As more resources are required, systems don’t get bigger, but rather 10’s, 100’s or even 1000’s of additional application instances are deployed and these instances can run almost anywhere. Because these applications can run across a variety of datacenters, both on and off prem, organizations are not able to guarantee stability of the infrastructure and therefor the burden of reliability falls to the application itself. As a result new Dev/Ops processes designed to support rapid software iteration and delivery have been developed and are being adopted.
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So, each of these models are critical to the modern IT ecosystem.
And thanks to the ubiquity of highly reliable and cost effective networks, these infrastructure services can be delivered almost anywhere.
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We’ve extended the data lake to the enterprise edge to address the storage needs of edge and remote locations
We’ve also tightly integrated the data lake to public, private and hosted clouds to provide virtually limitless storage capacity to future proof your storage. the data lake now extends beyond the data center to your choice of cloud options
We’ve extended the data lake to the enterprise edge to address the storage needs of edge and remote locations
We’ve also tightly integrated the data lake to public, private and hosted clouds to provide virtually limitless storage capacity to future proof your storage. the data lake now extends beyond the data center to your choice of cloud options