In this Networking Field Day article, Sulagna Saha discusses how electronic trading relies on a complex network to match buy and sell orders in real-time, requiring a lossless and ultra-low latency network to ensure every data packet reaches its destination without delay. cPacket addresses issues like microbursts and buffer overflows with a distributed architecture using programmable ASICs and FPGAs, enabling high-resolution packet capture and analysis for efficient and reliable trading operations.

In this Cloud Field Day article, Sulagna Saha discusses how Google Cloud is navigating the evolving landscape of cloud computing, highlighting key trends and challenges faced by organizations today. She explores the impact of multicloud environments on infrastructure strategies and emphasizes the importance of adopting scalable and secure solutions within Google Cloud’s framework. Saha concludes with insights into how businesses can leverage Google Cloud technologies to achieve agility and innovation in their operations.

As practical applications of AI are rolled out, they are increasingly being deployed on-premises at scale. We are wrapping up this season of Utilizing Tech with Solidigm focused on AI Data Infrastructure by discussing practical deployment considerations with Ariel Pisetzky, VP of Information Technology and Cyber at Taboola in a discussion with Jeniece Wnorowski and Stephen Foskett.

At Networking Field Day, Sulagna Saha highlights how Hedgehog, a networking startup, is addressing the demand for low-tech, low-touch networks with its Open Network Fabric. This solution simplifies complex network operations, enabling hands-off management in hybrid and distributed cloud environments. By leveraging Kubernetes and open-source NOS SONiC, Hedgehog offers a nimble and flexible network fabric that resembles public cloud simplicity.

In this Cisco Live article, Sulagna Saha discusses how Cisco is redefining automation with its Crosswork Solutions by expanding its scope to include decision-making, not just actions, which helps networking professionals make better and faster decisions. At Cisco Live US 2024, Crosswork was introduced as a network automation solution that uses AI to predict failures, optimize performance, and simulate various scenarios through a digital twin of the network. This approach aims to reduce human input and variability, ensuring reliable outcomes and improving efficiency across multi-vendor, multi-domain networks.

In this article from Cisco Live US, Sulagna Saha discusses Cisco’s shift towards software-defined networking (SDN) for the industrial IoT sector, emphasizing ease of use, security, and scalability. Cisco’s SD-WAN solution, introduced in 2018, provides centralized management and advanced security features tailored to industrial IoT needs. For customers hesitant to fully adopt SD-WAN, Cisco offers SD-Routing, delivering similar benefits with a simpler implementation.

Modern AI infrastructure has exposed the importance of reliability and predictability of storage in addition to performance. This episode of Utilizing Tech, presented by Solidigm, features Kelley Osburn of Graid Technology discussing the challenges of maximizing performance and resiliency of storage for AI with Jeniece Wnorowski and Stephen Foskett.

In the Cloud Field Day article, Sulagna Saha discusses the Morpheus Data Platform and its role in multi-cloud management. Martez Reed of Morpheus Data highlights the increasing demand for diverse cloud hosting options and the need for platforms that provide rationalization across different clouds. The Morpheus Platform supports extensive public and private cloud integrations, offers a self-service catalog for developers, and features a plugin framework to enhance extensibility, making it adaptable to evolving market dynamics and AI/ML workload requirements.

In this Cloud Field Day article, Sulagna Saha discusses the Oxide Cloud Computer from Oxide Computer Company, a computer that will transform how you think about the on-premise data center.

In this Cloud Field Day article, Sulagna Saha discusses how Juniper Networks is making AI data Centers as easy as Public Cloud. Juniper Networks is working to replace the manual work with an easy, hands-off, cloud-like experience that does not get network engineers deep in the weeds of the infrastructure.