Search results

Full-rate coverage from 1G to 800G—supporting Ethernet, OTN, Fibre Channel and coherent optics (including 800ZR). Built for the Coherent Future.

Why a major bank adopted proactive fiber monitoring

In part four, the final webinar of our four-part webinar series exploring the impact of AI on data center interconnects (DCIs), you’ll learn how precise fiber characterization and automation improve DCI performance, ensuring reliability, faster troubleshooting, and greater efficiency in high fiber count deployments.  Attend this webinar to learn about:  The importance of proper network characterization as it applies to DCI networks  The challenges that come with fiber characterization  How process automation can be easily implemented  Want to learn more? Watch the other webinars in the series: Register to attend the final webinar in the series.   DCI in the AI era: from hollow-core highways to multi-fiber campuses   How remote fiber monitoring strengthens modern DCI networks  Testing high-speed transport networks for scalable interconnects

In part three of our four-part webinar series exploring the impact of AI on data center interconnects (DCIs), you’ll learn how to validate transceivers, modernize Ethernet testing, and optimize digital coherent optics to boost reliability, reduce risk, and ensure high-speed DCI performance.   Attend this webinar to learn about:  Transceiver validation – with failure rates reaching up to 20%, learn how correct validation helps avoid costly downtime and ensures component interoperability.  EtherSAM vs. RFC 2544 – discover why EtherSAM provides a faster, more service-oriented approach to Ethernet testing, and why it’s time to move beyond legacy RFC 2544 methodologies.  Digital coherent optics (DCO) for long-distance transmission – understand the specific testing challenges for DCO how to ensure reliable, high-capacity transport over extended distances.  Want to learn more? Watch the other webinars in the series: Register to attend the final webinar in the series.   DCI in the AI era: from hollow-core highways to multi-fiber campuses   How remote fiber monitoring strengthens modern DCI networks  Enhancing DCI fiber network performance through characterization and automation 

In part two of our four-part webinar series exploring the impact of AI on data center interconnects (DCIs),  we’ll explore how remote fiber monitoring and automation enhance reliability and proactive maintenance as networks scale and data centers multiply.  Watch this webinar to learn about:  • How remote fiber monitoring delivers deep operational insight for predictive maintenance.  • Bi-directional OTDR/iOLM characterization and automated continuity tracing to reduce turn-up time for new cables and infrastructure handovers.  • Mass fiber testing via high-port-count OTDR switches and real-time splice validation using mobile apps to streamline field repairs and reduce rework.  Want to learn more? Watch the other webinars in the series:   DCI in the AI era: from hollow-core highways to multi-fiber campuses Testing high-speed transport networks for scalable interconnects  Enhancing DCI fiber network performance through characterization and automation 

In part one of our four-part webinar series exploring the impact of AI on data center interconnects (DCIs), we’ll explore the evolution of DCI networks and how AI, hollow-core fiber, and multi-fiber strategies are redefining design, deployment, and testing across campus, metro, and long-haul.  Watch this webinar to learn about:  The journey of DCI networks over the past 15 years—and where they’re heading  The impact of AI on how data centers interconnect, operate, and scale  Breakthroughs in fiber technology, including hollow-core and multi-fiber solutions  How testing strategies must evolve to ensure network performance and reliability  Want to learn more? Watch the other webinars in the series:   How remote fiber monitoring strengthens modern DCI networks  Testing high-speed transport networks for scalable interconnects  Enhancing DCI fiber network performance through characterization and automation