Reliable cloud networking

To maintain the highest levels of business continuity modern organizations need data center switching fabrics that just work.

We’re addressing this need with a new mission for data center networks: Human Error Zero. The mission’s key enabler is a solution that dramatically reduces errors made by vendors and users—from software bugs and hardware issues to provisioning errors and operational miscues. 

Imagine a world where your IT operations teams have more time and freedom to innovate, create and help drive your business. With our reliable data center fabric solution, you can meet the demands of artificial intelligence (AI) and other data-intensive applications by eliminating human errors and delivering dependable data center network architectures, quality and operations.

How to drive errors out with a reliable data center network architecture?

Most data centers use non-blocking Clos switching fabrics implemented in leaf–spine layouts with hardware based on Broadcom merchant silicon. Running IP or Ethernet Virtual Private Network (EVPN) technology, this data center network architecture offers super-reliable packet switching across the fabric and between data centers.

But not every implementation is the same. That’s why we built a family of data center platforms that are right-sized for any data center size, segment and application. These platforms use carrier-grade hardware based primarily on Broadcom merchant silicon and run on our modern SR Linux network operating system (NOS).

SR Linux builds on our proven Service Router Operating System (SR OS), the industry’s leading routing stack for IP switching fabrics and the trusted choice of more than 3,900 communication service providers, cloud providers and enterprises worldwide.

Why is a culture of quality needed to drive business continuity?

A data center network architecture’s success in supporting demanding applications depends on the quality of its underlying components. And quality is a function of three things: culture, innovation and perseverance.

We foster a culture of quality that emphasizes shared accountability. That’s why every Nokia test engineer is also an automation engineer. We perform test automations every time because we do not want to leave any room for human errors.

In creating SR Linux, we brought decades of routing experience and innovation together with the most modern software tools and techniques to deliver reliability. This reliability is at the core of our quality-first approach to data center switching.

When a hot new technology comes along, we stay focused on quality instead of rushing it to market. This perseverance ensures that you can safely deploy our solutions and get the most from every innovation.

How to unleash automation within IT network operations

Every organization needs network automation to function with precision, reliability and predictability. However, operators do not have full visibility of possible inherent issues within their network. They fear that network automation would only make these problems worse in their complex and fragile networks.

Nokia Event-Driven Automation (EDA) takes this fear away with reliable, simple and adaptable automation. Offering comprehensive instrumentation and automated network checks, this modern platform makes data center network automation faster, safer and more trustable from small edge clouds to the largest AI fabrics.

Cloud networking can be simply defined as the networking ecosystem that connects clouds, this is also synonymous with the internet. There are three main categories of companies within this ecosystem.

First there are companies who create the actual internet traffic. These companies include internet content providers (ICPs), enterprises, and consumers of these cloud services. Think video streaming companies, online gaming companies, ecommerce companies, or, in general, companies who offer online services to their end users.

These companies often use the second type of company and these are cloud providers. Cloud providers act as an extension to ICPs in that they allow them to extend their private data centers to host applications that drive their business. The largest of these cloud providers include Amazon Web Services, Google Cloud Platform or MS azure, however, there are many more smaller cloud providers and niche cloud providers like Neoclouds, who are specialized in offering high-performance computing, particularly GPU-as-a-Service (GPUaaS), for AI and machine learning workloads.

The last general group of companies in this ecosystem are the digital infrastructure providers offering the facilities and the network needed to deliver these services. Digital infrastructure providers include internet exchange providers (IXPs), colocation providers, network as a service providers, or any cloud company who assists in the delivery of these services.