The software-defined data center (SDCC) marks the next evolution in infrastructure and data center automation architecture. However, switching to or deploying an SDDC is not recommended for all IT organisations. Infrastructure & Operations (I&O) leaders must understand the business value, best use cases and risks.
Gartner’s Guide on SDDC will Help IT decision Makers to:
- Identify the business, and IT projects to get the most out of SDDC
- Know the required characteristics to make SDDC possible
- How to mitigate the top risks of an SDDC project failure
Sneak Peek into “Should Your Enterprise Deploy a Software-Defined Data Center?”
A software-defined data center is the foundation of public-cloud-infrastructure-as-a-service (IaaS) offerings such as those from Amazon Web Services (AWS) and Microsoft Azure. A software-defined approach enables automation and policy enforcement activities to be selected through self-service catalogs or APIs, as well as enforced programmatically through policy and analytics. Private cloud services rarely implement a complete SDDC today (unless they are OpenStack-based); however, they will increasingly do so as SDDC offerings mature.
- I&O organization are challenged to make I&O faster to respond and scale to meet the business and to support new application architectures for hybrid cloud solutions, analytics, digital business, the Internet of Things (IoT) and mobile and edge computing.
- Application programming interfaces (APIs) are becoming the “glue” of the digital data center, but an orchestration engine across these APIs is still needed to coordinate the technical capabilities that ultimately provide a business service.
- Infrastructure vendors are actively adding APIs to their platforms, but these are not standard nor open across vendors or even products from the same vendor.
- In addition to requiring significant deployment work internally, a software-defined data center implementation also requires new IT skill sets and a profound cultural shift.
Orchestrating infrastructure such as that required for IoT, DevOps and cloud services is accomplished through software-defined components, enabling greater end-to-end automation, mobility and integration through the use of APIs, and policy orchestration.
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