JumpPoint’s portfolio of data management solutions address your critical information storage security, and retrieval needs.

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Data Management

Enterprises must cope with rapid growth of data. According to a recent IDC study:

“The digital universe — information that is either created, captured, or replicated in digital form — was 281 exabytes in 2007. In 2011, the amount of digital information produced in the year should equal nearly 1,800 exabytes, or 10 times that produced in 2006. The compound annual growth rate between now and 2011 is expected to be almost 60%.”

Data Management Solutions

As data continues to grow exponentially, you need to find ways to stay on top of managing it. Not only do you have to have the physical hardware for data storage and back up, but you also have to be able to retrieve that data when you need it.

From an enterprise storage assessment and implementation, to back-up and recovery, archiving, compliance and e-discovery, data de-duplication and data warehousing, JumpPoint has the solution you need to manage your data efficiently and cost effectively.

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JumpPoint Transformation Process

CONSOLIDATION
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VIRTUALIZATION
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COMMODITIZATION

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Levels of Datacenter Maturity
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CONSOLIDATION – Moving from Level 1 to Level 2

Level 1
Rack & Stack

Characteristics:
Servers dedicated to applications. Server-attached storage. OS-level system management. Application-level DR planning.

Level 2
Server & Storage Consolidated

Characteristics:
Database server consolidation SAN and NAS deployment. System management deployment Application and server-level
DR planning.

Issues:

Low server utilization. High power consumption. Slow to deploy and scale. Islands of data. Resource intensive. High software
licensing costs.

Benefits:

Higher DB server utilization. Lower power consumption. Shared data pools. Less resource intensive BUT still slow to deploy and scale. Deployment is expensive.

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VIRTUALIZATION – Moving from Level 2 to Level 3

Level 2
Server & Storage Consolidated

Characteristics:
Database server consolidation SAN and NAS deployment. System management deployment. Application and server-level DR planning.

Level 3
Server & Storage Virtualization

Characteristics:
Applications are virtual. Deployed onto larger SAN and NAS virtualization. System management for provisioning, VM migration. High level of resilience.

Issues:

Higher DB server utilization. Lower power consumption. Shared data pools. Less resource intensive BUT deployment is expensive. Still slow to deploy and scale.

Benefits:

Higher server. Lower power consumption. Fast to deploy and scale. Higher storage utilization. Nearly all datacentre tasks are automated.

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IMPLEMENTING PRIVATE CLOUDS – Moving from Level 3 to Level 4

Level 3
Server & Storage Virtualization

Characteristics:
Applications are virtual. Deployed onto larger SAN and NAS virtualization. System management for provisioning, VM migration. High level
of resilience.

Level 4
Private Cloud Computing

Characteristics:
Applications and storage are deployed onto a private or public cloud utility. Using standard API to provision and scale. Chargeback systems to allocate costs and enable budgeting.

Issues:

Budgeting and acquisition is difficult (no projects to justify costs). Significant initial outlay to build up capacity. Provisioning still a manual task.

Benefits:

Higher server Lower power consumption. Fast to deploy and scale. Higher storage utilization. Nearly all datacentre tasks
are automated.