5G, Wi-Fi, AI – Powering Innovation

The push and pull of 5G CNFs within Kubernetes environments

As 5G networks evolve, ensuring cloud-native network functions (CNFs) perform reliably in distributed environments is critical. In the world of 5G standalone networks, failure is inevitable, but it's how networks recover that matters. CNFs are designed with failure in mind, leveraging Kubernetes auto-healing capabilities to automatically recover without disrupting service. In our latest whitepaper, How 5G CNFs Are Designed to Fail, we explore the core strategies behind building resilient 5G CNFs, managing resource and network contention, and maintaining service continuity even in challenging environments. Learn how to ensure your 5G network remains scalable, resilient, and reliable. Download the whitepaper today!

Wi-Fi 7 - Better speed, better performance, and now expanded testing

Navigating Wi-Fi 7’s technological enhancements comes with just as many implementation and testing challenges. Which is why we’re constantly innovating and have recently announced key upgrades to our Octobox Wi-Fi testing platforms. These advancements, designed to meet the evolving needs of ISPs and equipment manufacturers, ensure reliable, high-performance connectivity in the face of increasing device numbers and the rollout of Wi-Fi 7. Octobox is the only platform that can comprehensively test stringent Wi-Fi 7 standards by characterizing the unique capabilities of Wi-Fi 7 now and in the future as the requirements and related test cases evolve. Read all about the updates to Octobox and then explore how Wi-Fi 7 is set to revolutionize real-time communication, gaming, streaming, and more in our Wi-Fi 7 Explained video.

Reshaping the network testing and assurance landscape with AI

Artificial intelligence and machine learning are revolutionizing network testing and assurance, increasing the automation and efficiency of field operations and carrier networks. AI is being embedded into testing tools to streamline processes and improve network reliability. For instance, AI enhances test automation and helps assess network components with real-world use cases in firewall security, network analytics, and data center infrastructure. Cutting-edge methodologies, such as digital twins, simulate networks in safe environments, enabling precise AI-driven operations before live deployment. As AI paves the way for autonomous networks, testing frameworks are evolving from manual processes to fully automated systems, accelerating innovation across the network lifecycle. Learn more about the future of network testing and how Spirent is driving innovation with AI across the network lifecycle in this on-demand webinar.

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