Virtualization and the creation of many virtual machines (VMs) within the same infrastructure was the solution organizations came up with when faced with expansive, expensive networks that needed more hardware and thus more capital expenditure to host applications. While they resolved the bigger pain points, VMs still have to be monitored as they are heavy on resource usage.
Top tips is a weekly column where we highlight what’s trending in the tech world and list ways to explore these trends. This week we’re looking at four revolutionary ways IoT is transforming healthcare. The past four years have brought about a series of unprecedented events that challenged our worldview, our lifestyle, and most importantly, how we view healthcare.
In the dynamic world of IT, traditional network monitoring approaches are no longer sufficient to manage the complexities of today’s networks—be they wired or wireless. To stay ahead of network events, IT administrators must shift from being reactive to adopting a proactive stance. This transition involves a comprehensive approach to network monitoring that includes forecasting future network requirements with the help of machine learning (ML) technology.
Network outages have become a dreaded reality, disrupting businesses, personal lives, and communication channels. While no network is immune to this unfortunate event, the recent Australian telecom outage serves as a stark reminder of the impact such disruptions can have. The outage, which lasted for several hours, caused nationwide disruptions to Australian businesses, essential services, and daily life.