Taneja Group | IBM+Storwize
Join Newsletter
Forgot
password?
Register
Trusted Business Advisors, Expert Technology Analysts

Items Tagged: IBM+Storwize

Profiles/Reports

Journey Towards Software Defined Data Center (SDDC)

While it has always been the case that IT must respond to increasing business demands, competitive requirements are forcing IT to do so with less. Less investment in new infrastructure and less staff to manage the increasing complexity of many enterprise solutions. And as the pace of business accelerates those demands include the ability to change services… quickly. Unfortunately, older technologies can require months, not minutes to implement non-trivial changes. Given these polarizing forces, the motivation for the Software Defined Data Center (SDDC) where services can be instantiated as needed, changed as workloads require, and retired when the need is gone, is easy to understand.

The vision of the SDDC promises the benefits needed to succeed: flexibility, efficiency, responsiveness, reliability and simplicity of operation… and does so, seemingly paradoxically, with substantial cost savings. The initial steps to the SDDC clearly come from server virtualization which provides many of the desired benefits. The fact that it is already deployed broadly and hosts between half and two-thirds of all server instances simply means that existing data centers have a strong base to build on. Of the three major pillars within the data center, the compute pillar is commonly understood to be furthest along through the benefits of server virtualization.

The key to gaining the lion’s share of the remaining benefits lies in addressing the storage pillar. This is required not only to reap the same advantages through storage virtualization that have become expected in the server world, but also to allow for greater adoption of server virtualization itself. The applications that so far have resisted migration to the hypervisor world have mostly done so because of storage issues. The next major step on the journey to the SDDC has to be to virtualize the entire storage tier and to move the data from isolated, hardware-bound silos where it currently resides into a flexible, modern, software-defined environment.

While the destination is relatively clear, how to move is key as a business cannot exist without its data. There can be no downtime or data loss. Furthermore, just as one doesn’t virtualize every server at once (unless one has the luxury of a green-field deployment and no existing infrastructure and workloads to worry about) one must be cognizant of the need for prioritized migration from the old into the new.  And finally, the cost required to move into the virtualized storage world is a major, if not the primary, consideration. Despite the business benefits to be derived, if one cannot leverage one’s existing infrastructure investments, it would be hard to justify a move to virtualized storage. Just to be sure, we believe virtualized storage is a prerequisite for Software Defined Storage, or SDS.

In this Technology Brief we will first look at the promise of the SDDC, then focus on SDS and the path to get there. We then look at IBM SAN Volume Controller (SVC), the granddaddy of storage virtualization. SVC initially came to market as a heterogeneous virtualization solution then was extended to homogeneous storage virtualization, as in the case of IBM Storwize family. It is now destined to play a much more holistic role for IBM as an important piece of the overall Spectrum Storage program.

Publish date: 06/17/15
Profiles/Reports

Got mid-sized workloads? Storwize family to the rescue

Myths prevail in the IT industry just as they do in every other facet of life. One common myth is that mid-sized workloads, exemplified by smaller versions of mission critical applications, are only to be found in mid-size companies. The reality is mid-sized workloads exist in businesses of all sizes. Another common fallacy is that small and mid-size enterprises (SMEs) or departments within large organizations and Remote/Branch Offices (ROBOs) have lesser storage requirements than their larger enterprise counterparts. The reality is companies and groups of every size have business-critical applications and these workloads require enterprise-grade storage solutions that offer high-performance, reliability and strong security. The only difference is IT groups managing mid-sized workloads frequently have significant budget constraints. This is a tough combination and presents a big challenge for storage vendors striving to satisfy mid-sized workload needs.

A recent survey conducted by Taneja Group showed mid-size and enterprise needs for high-performance storage were best met by highly virtualized systems that minimize disruption to their current environment. Storage virtualization is key because it abstracts away all the differences of various storage boxes to create 1) a single virtualized storage pool 2) a common set of data services and 3) a common interface to manage storage resources. These storage virtualization capabilities are beneficial to the overall enterprise storage market and they are especially attractive to mid-sized storage customers because storage virtualization is the core underlying capability that drives efficiency and affordability.

The combination of affordability, manageability and enterprise-grade functionality is the core strength of the IBM Storwize family built upon IBM Spectrum Virtualize, the quintessential virtualization software that has been hardened for over a decade with IBM SAN Volume Controller (SVC). Simply stated – few enterprise storage solutions match IBM Storwize’s ability to deliver enterprise-grade functionality at such a low cost. From storage virtualization and auto-tiering to real-time data compression and proven reliability, Storwize with Spectrum Virtualize offers an end-to-end storage footprint and centralized management that delivers highly efficient storage for mid-sized workloads, regardless of whether they exist in small or large companies.

In this paper, we will look at the key requirements for mid-sized storage and we will evaluate IBM Storwize with Spectrum Virtualize’s ability to tackle mid-sized workload requirements. We will also present an overview of IBM Storwize family and provide a comparison of the various models in the Storwize portfolio.

Publish date: 06/24/16