A cornerstone of network observability is the ability to ask any question of your network. That means having an unbound capacity to explore the tremendous amount and variety of network telemetry you collect. It means seeing trends and patterns from a macro level, but it also means getting very granular to pursue any line of analysis of your data. Collecting information from flow records, SNMP, streaming telemetry, BGP, eBPF, and so on is indeed very important.

Meeting bandwidth capacity needs of customers is a crucial business objective for today’s providers. While both coarse wavelength-division multiplexing (CWDM) and dense wavelength-division multiplexing (DWDM) are modern forms of wavelength-division multiplexing (WDM) that effectively solve those increasing bandwidth needs by upgrading the utilization of new and existing fiber, they are each designed to tackle different network challenges.

Everyone is shifting their workloads to the cloud, but one challenge remains: Workloads need to be automated. Whether they’re employing a cloud-native, cloud server, or hybrid model—IT operations teams need to know what, when, and now also where to automate. Speaking at the recent 2022 Automation Virtual Summit, Dave Kellermanns, Global Advisor for Automation, Broadcom Software explored some lessons learned and best practices for cloud automation. Read on to see some of the highlights.

Last summer we teamed up with the New York Times to analyze the re-routing of internet service to Kherson, a region in southern Ukraine that was, at the time, under Russian occupation. In my accompanying blog post, I described how that development mirrored what took place following Russia’s annexation of Crimea in 2014.