The NV market continues to grow and evolve, supporting many different technologies and vendor platforms as customers look for the right mix.
In the move to the telco cloud, some key considerations are crucial in NFVI components selection.
As providers of container networking platforms jostle for position, the industry is eagerly awaiting the emergence of container networking interoperability.
In the move to the telco cloud, there are some crucial considerations in NFVI components selection.
In the move to the telco cloud and NFV, there are a number of risks associated with implementing a fully virtualized system.
Virtualization can help IT organizations break down the silos that exist between application developers and enable operations teams to deliver real-time IT.
In addition to a new crop of SD-WAN players, traditional enterprise networking players want a piece of the network edge.
We shouldn’t think of NFV as merely porting a cloud to the telcos. We need to understand that true NFV won't happen until we connect all the entities involved in delivering the customer a modern, virtualized service.
Big technology shifts like cloud take at least 10 years. That’s why the shift to the telco cloud, led by NFV, will require at least a decade of patience.
The telco NFV cloud has different characteristics from the enterprise cloud – with a higher emphasis on reliability, connectivity, and specific applications.
Network virtualization (NV) can increase IT agility, according to emerging case studies and user feedback.
The key to success of NFV will come soon as operators evaluate the benefits of the NFV business transformation in early rollouts including vCPE.
VMware is pursuing two container strategies that call for integrating Photon OS and its VIC with NSX for containers.
IT experts are increasingly looking at securing the cloud using SDN technologies, which add policy awareness and features such as microsegmentation.
Big data and analytics are transforming Network Virtualization (NV) by taking advantage of new sources of data and providing analytics tools that can link to automation in software-defined networks (SDNs).