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Enterprise Management Associates Announces New Research on Software Defined Data Centers

Enterprise Management Associates (EMA) released its latest research report entitled, Obstacles and Priorities on the Journey to the Software-Defined Data Center.

Based on research criteria defined by EMA Research Director, Systems Management, Torsten Volk, and EMA VP of Research, Network Management, Jim Frey, this major research study examines the expertise and opinions of early adopters and visionaries to determine obstacles and priorities on the way to managing the data center and external resources—IaaS, PaaS, SaaS and, ultimately, BPaaS—in a performance-, resilience-, security- and SLA-driven manner

At the core of the SDDC is the belief that in order to better serve the business, IT infrastructure—internal and external—must be controlled centrally and become radically aligned along application and service requirements. Deploying, operating, managing and updating applications in the most cost-effective, secure, agile and policy-compliant manner is the key goal of the SDDC. Business units are exerting a tremendous amount of pressure on the IT department to accelerate this process, requiring IT to obtain new skills, such as “programming,” and to focus on developing cross-domain expertise.

Today there are no central management technologies that are able to control and unify the entire data center and the public cloud. However, this EMA research illustrates that successfully implementing the SDDC starts with an IT operations mindset that focuses on reinventing the infrastructure provisioning and management process in a much more policy-driven manner.

“Study respondents acknowledged the fact that the SDDC cannot be implemented in the form of a technology project, but rather constitutes a concept that describes guidelines that follow the multi-year vision of entirely closing the traditional gap between enterprise IT and the business,” said Volk.

This in-depth research explores:

- The key components and business drivers of the SDDC

- The SDDC technologies and services IT professionals will invest in and which ones promise the highest ROI

- The key considerations when optimally placing new applications and the core risks

- The key challenges when creating new application environments

- How the Software Defined Storage (SDS) can enhance the data center

- The ‘net’ impact of Software Defined Networking (SDN) and network virtualization

- How the SDDC concept increase the ROI of private and public cloud

- The role of OpenStack within the SDDC and the key reasons for adopting OpenStack

- The role security plays within the SDDC

“Our study focused on organizations that are committed to the SDDC path and reveal a range of best practices experiences that span compute, storage, and networking across internal and external cloud environments, while highlighting the influence of standards, legacy infrastructure, and more,” said Frey.

Related Links:

EMA Report: Obstacles and Priorities on the Journey to the Software-Defined Data Center

EMA Webinar Feb 18: Journey to the Software Defined Data Center - EMA Research Results Revealed

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Enterprise Management Associates Announces New Research on Software Defined Data Centers

Enterprise Management Associates (EMA) released its latest research report entitled, Obstacles and Priorities on the Journey to the Software-Defined Data Center.

Based on research criteria defined by EMA Research Director, Systems Management, Torsten Volk, and EMA VP of Research, Network Management, Jim Frey, this major research study examines the expertise and opinions of early adopters and visionaries to determine obstacles and priorities on the way to managing the data center and external resources—IaaS, PaaS, SaaS and, ultimately, BPaaS—in a performance-, resilience-, security- and SLA-driven manner

At the core of the SDDC is the belief that in order to better serve the business, IT infrastructure—internal and external—must be controlled centrally and become radically aligned along application and service requirements. Deploying, operating, managing and updating applications in the most cost-effective, secure, agile and policy-compliant manner is the key goal of the SDDC. Business units are exerting a tremendous amount of pressure on the IT department to accelerate this process, requiring IT to obtain new skills, such as “programming,” and to focus on developing cross-domain expertise.

Today there are no central management technologies that are able to control and unify the entire data center and the public cloud. However, this EMA research illustrates that successfully implementing the SDDC starts with an IT operations mindset that focuses on reinventing the infrastructure provisioning and management process in a much more policy-driven manner.

“Study respondents acknowledged the fact that the SDDC cannot be implemented in the form of a technology project, but rather constitutes a concept that describes guidelines that follow the multi-year vision of entirely closing the traditional gap between enterprise IT and the business,” said Volk.

This in-depth research explores:

- The key components and business drivers of the SDDC

- The SDDC technologies and services IT professionals will invest in and which ones promise the highest ROI

- The key considerations when optimally placing new applications and the core risks

- The key challenges when creating new application environments

- How the Software Defined Storage (SDS) can enhance the data center

- The ‘net’ impact of Software Defined Networking (SDN) and network virtualization

- How the SDDC concept increase the ROI of private and public cloud

- The role of OpenStack within the SDDC and the key reasons for adopting OpenStack

- The role security plays within the SDDC

“Our study focused on organizations that are committed to the SDDC path and reveal a range of best practices experiences that span compute, storage, and networking across internal and external cloud environments, while highlighting the influence of standards, legacy infrastructure, and more,” said Frey.

Related Links:

EMA Report: Obstacles and Priorities on the Journey to the Software-Defined Data Center

EMA Webinar Feb 18: Journey to the Software Defined Data Center - EMA Research Results Revealed

Hot Topic

The Latest

For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...