In recent months the term “Supercloud” has become increasingly used, particularly in the context of being a successor or qualifier to “multi-cloud”. There isn’t any definitive formal definition, it is essentially yet another buzzword and vendors and analysts are pilling in with their own take and definition to align to their own agendas and product capabilities.
Artificial Intelligence and Machine Learning have been at the heart of our strategy since the beginning. At the birth of Nexthink we wanted to help IT teams not get drowned in list of logs, but rather immediately see actionable data already processed, correlated and ready to consume.
Thanks to the economic downturn and rising interest rates, leading financial industry stalwarts such as Accenture, BlackRock, BNY Mellon, Goldman Sachs, and PayPal have already laid off hundreds or thousands of employees. And these are just the big names; banks, credit unions, insurers, and private equity firms of all sizes worldwide are carefully reviewing their headcount and trimming their workforce in order to stay competitive.
High Cardinality woes are far & frequent in today's modern cloud-native environment. What does it mean, & why is it such a pressing problem?
The advent of multi-cloud and hybrid-cloud architectures has created new opportunities for organizations to leverage best-in-class features from various cloud service providers. However, these complex environments present their own unique challenges, especially when it comes to monitoring and managing performance.