Topic: network observability
Network Time-Series Analysis Beyond the LLM Hype
The rapid advancements in Artificial Intelligence (AI), particularly the ascent of Large Language Models (LLMs), have sparked widespread discussion about their potential to revolutionize various industries. Within network operations, where vast volumes of time-series data are generated continuously, there is a natural curiosity about whether LLMs can significantly enhance, or even replace, established analytical methods … continue reading
The impact of AI on network operations: Five key thoughts from a chief network architect
The rise of Artificial Intelligence (AI) is transforming industries across the globe, and the networking landscape is no exception. Network operations teams need to contend with new AI-centric workloads that use the network in novel ways. In this article, I draw insights from a recent discussion on this topic with Kamran Naqvi, Broadcom’s chief network … continue reading
The importance of network observability for today’s enterprises
In today’s digital landscape, where businesses are increasingly reliant on complex and interconnected IT infrastructures, network observability has emerged as a critical component for maintaining operational efficiency and ensuring the reliability of network services. Network observability refers to the ability to gain deep insights into the state and performance of network infrastructure through monitoring and analytics/AI. … continue reading
IBM announces Rapid Network Automation
IBM is announcing Rapid Network Automation, a low-code API-driven tool for automating, integrating and connecting infrastructure throughout a hybrid cloud environment. The tool, which was developed after IBM acquired Pliant in March, turns API code into deployable blocks that Rapid Network Automation can assemble and integrate to ensure communication across the technology stack between platforms, … continue reading
