The use of metadata is nothing new – ancient Egyptians deployed this concept over 2,000 years ago, using descriptive tags to organize and summarize voluminous, hand-written scrolls. In the digital age, metadata has taken on new meaning and significance, as NetOps and SecOps teams seek out more efficient ways to garner valuable insights from an […]

A New Chapter for Network Validation Network testing has always depended on expertise. Whether validating a new data center fabric, benchmarking network equipment, or verifying application performance and security, engineers have traditionally needed deep knowledge of test tools, APIs, and product-specific workflows. As networks become larger and more complex, especially in AI-driven environments, that expertise […]

Quantum computing poses a serious threat to current encryption standards, driving organizations to prepare for the post-quantum era. In this blog, we outline how rising risks are reshaping testing, performance planning, and cryptographic transition strategies. Why Today’s Encryption Isn’t Ready for Tomorrow Encryption has long safeguarded data privacy, with algorithms like RSA-2048 built to resist […]

It is rush hour in a busy city center. Thousands of smartphones are moving between cells as commuters leave offices and head home. Across the network, an AI-powered xApp is making real-time decisions about which radios can be powered down to save energy, and which need to remain fully active to handle demand. These decisions […]

Avnu Alliance Spring Plugfest is a central event in the development of interoperable, low-latency, high-reliability networking standards. VIAVI is a key member of the Avnu Alliance, contributing to testing events, governance, and the ongoing evolution of Time-Sensitive Networking (TSN), including leading test plan development for standards such as IEEE 802.1CB and 802.1Qci. As TSN adoption […]

If there is one aspect of AI that challenges high-bandwidth networking more than any other, it is training. However, with the growth of applications that depend on inference performance, inference is quickly catching up and placing even greater strain on the network. Compounding this are rising usage volumes, test-time scaling, mixture-of-experts architectures, and the use […]

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