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Showing posts from April, 2025

Figure 1: Dashboard of hardware/software components for every device in a multi-vendor network fabric

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  We recently  announced  the general availability of  Open Networking Enterprise Suite (ONES) , the industry’s first supportability stack designed to empower network operators to migrate to  SONiC . Since its inception, Hyperscalers have used open-source SONiC to manage and control their network. Enterprises globally are now looking to replicate the Hyperscaler success, but they face unique challenges around SONiC supportability as they transition to the open-source NOS. With Aviz’s ONES, and a growing multi-vendor SONiC ecosystem, enterprises can now easily transform their networks like hyperscalers. Enabling SONiC Adoption for New or Existing Networks SDXCENTRAL DEMOFRIDAY WEBINAR —  WATCH NOW ONES ushers network operators into a new era of open networking by allowing: Hardware Agnostic Interoperability:  ONES works on any Switch using any ASIC running SONiC, providing the software stack network operators need to make the move to white box switches ...

Multi-Vendor SONiC: Creating New Opportunities For The Enterprise

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  Multi-Vendor SONiC Software for Open Networking in the Cloud  (SONiC, an open-source networking operating system) recently moved from the  Open Compute Project  (OCP) to  The Linux Foundation  (LF). This enables neutral governance, and further, accelerates its adoption in a multi-vendor-supported ecosystem. Leading open source network operating system enabling disaggregation for data centers now hosted by the Linux Foundation to enable neutral governance in a software ecosystem. THE LINUX FOUNDATION The LF provides the perfect venue for developer-led growth, and a public-private partnership across contributors, vendors, and users alike to nurture the open-source networking stack. It is clear that the future of  Open-Source Networking  is brighter than ever, given the traction SONiC has been seeing. Today, every large enterprise data center is considering SONiC deployment for the simplicity, agility, and reliability it brings above and beyond its...

Open vs Open-source: A Paradigm Shift in Networking

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                                     Open vs Open-source: A Paradigm Shift in Networking The networking industry saw a huge number of startups evolve in the last decade. Unfortunately, the vast majority of them did not deliver on the promise of creating a truly open and disaggregated networking ecosystem, which is evident from the consolidation that followed their evolution. Fortunately, two broad concepts in networking were clear winners: 1) Software Defined Networking (SDN), and 2) Disaggregation in Networking solutions. SDN started off well with controller (NSX) and non-controller (EVPN) based methods and is now used as the basis of orchestrating VPC (Virtual Private Cloud) networks in public clouds. Disaggregated Networking as a concept was popularized by companies such as Cumulus, which helped immensely in generating the demand for standards-based solutions across multiple ASIC and Switch...

Boosting Network Trust: Unveil AI TRiSM with Network Copilot™

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  Introduction to AI-TRiSM (Trust, Risk & Security Management) As AI reshapes the world, its transformative power drives revolutionary innovations across every sector. The benefits are immense, offering businesses a competitive edge and optimizing operations. However, to harness this potential responsibly, we must prioritize ethical and trustworthy AI development and usage. This is where the concept of  AI-TRiSM , a framework conceptualized by Gartner, emerges as a cornerstone for responsible AI development. It emphasizes three crucial concepts:  Trust, Risk, and Security Management (TRiSM)  in AI systems. By focusing on these key principles, AI TRiSM aims to build user confidence and ensure ethical and responsible use of technology that impacts everyone. The Framework of AI TRISM AI TRISM By embracing AI TRISM, organizations can navigate the exciting world of AI with confidence, maximizing its benefits while ensuring responsible and ethical use. 1. AI Trust: ...