Skip to main content

Your submission was sent successfully! Close

Thank you for signing up for our newsletter!
In these regular emails you will find the latest updates from Canonical and upcoming events where you can meet our team.Close

Thank you for contacting us. A member of our team will be in touch shortly. Close

  1. Blog
  2. Article

Canonical
on 11 March 2015

NFV and SDN on OpenStack for network operators


Network Functions Virtualisation (NFV) and Software-Defined Networking (SDN) are two of the hottest infrastructure technologies around, particularly for telecoms and network operators wanting to map their services in a more efficient, scalable, and cost-effective way.

One of the biggest areas of interest for operators as they look to integrate those technologies is to have a quick and easy way to deploy and map them onto cloud infrastructure, particularly OpenStack. This whitepaper gives an overview of the ever-changing infrastructure landscape for network operators, and the challenges they face when implementing NFV and SDN technologies.

The eBook also presents a reference architecture for integrating NFV and SDN technologies onto Ubuntu OpenStack clouds, allowing for maximum flexibility in configuration, management, and scaling.

Download eBook

Related posts


Cedric Gegout
30 September 2024

The waiting game is over. 5G is coming to the edge.

Telecommunications Article

Canonical and Omdia’s report reveals that 96% of CSPs will launch commercial 5G edge computing within 2 years. In this blog, we examine the drivers behind this optimism. ...


Stephanie Domas
30 September 2024

What the Cyber Resilience Act (CRA) means for IoT manufacturers

Compliance Hardening

The EU Cyber Resilience Act has considerable repercussions for the IoT device manufacturers. In this blog, we explore these new regulatory requirements and give our blueprint for compliant, market-ready devices. ...


Rawand Benour
27 September 2024

AI in Healthcare: 5 Use Cases and 1 challenge

Ubuntu Article

The accelerated developments in machine learning and artificial intelligence in healthcare have set the stage for some interesting transformations. By enabling better care for patients, optimizing processes, and generating new opportunities for medical research and treatment, these technologies are indeed going to change the healthcare in ...