5 ways things go wrong with your Software-Defined Data Center adoption

The Software-Defined Data Center (SDDC) implementation virtualizes CPU, memory, networking, and storage. It can deliver certain services in software that previously required dedicated hardware, and will accrue several different benefits, mainly CAPEX and OPEX savings. But, the substantial benefits of integrating the SDDC into your current environment do not come without some challenges. The key challenges that need to be tackled are described in figure 1.


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Fig.1 SDDC challenges



1.       Lack of unified visibility and traceability

In traditional data centers, applications are installed into dedicated servers with reserved hardware resources. Both application and infrastructure teams know about how and where the applications were installed.  With SDDC, this has changed and applications use common resource pools. This reduces the traceability and visibility between applications and infrastructure elements. As a result,  SDDC management is more complex and in turn reduces the clarity of problem ownership between application and infrastructure teams.


 2.       Resource performance issues

SDDC is implemented by abstracting all the infrastructure resources and creating a shared pool of resources for workload consumption.  The main risk is that when a workload is using a common resource pool—that is abstracted from the physical resources it needs—it can be difficult at times to know if that workload is actually getting the necessary resources. Any transient demand from a high-priority workload literally stops other workloads acquiring necessary resources. This leads to resource performance issues like high-latency and workload performance degradations.


3.       Misallocation of resources

With the SDDC implementation, administrators need to continually assess the resource requirements, workload placements, and resource allocations to help improve efficiency. This is a very cumbersome job and most of the time, workloads are running with misallocated resources. Under allocation quickly results in performance issues and over allocation unnecessarily blocks capacity. This is why it is very important to right-size the allocation for better performance and utilization.


4.       Unused capacity due to resource sprawl

The SDDC offers Infrastructure as Service (IaaS) and enables users to create multiple infrastructure service catalog entries. With this ability, line-of-business team can self-service their resource requirements. Unfortunately, they often forget to remove the allocated resources after their use. This blocks capacity and keeps the resources unused. With this in mind, it is very important to identify these sprawl resources and safely reclaim their capacity.


5.       Frequently changing requirements

The SDDC inherits the business’ dynamism to the data center and encounters constant changes. The workloads move between servers and is driven by automated resource load balancing. New workloads will be automatically provisioned and deployed by cloud management software driven by business requests from a service catalog. All this dynamism creates additional management complexity in the SDDC control layer.

Incumbent companies like HP Software are focusing on the evolution of SDDC management or control layer. If you are interested in learning what this means for you and your data center, please visit our website for more details (www.hp.com/go/vpv) about our SDDC management continuum.


You can also download HP Virtualization Performance Viewer here and see what it can do within your d...


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About the Author
Anil is an enterprise software professional with 15+ years of experience. He has both breadth and depth of understanding in IT Infrastructur...

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