Operations | Monitoring | ITSM | DevOps | Cloud

High Cardinality woes are far & frequent in today's modern cloud-native environment. What does it mean, & why is it such a pressing problem?

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.

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.

Cribl has been named to the 5th annual Enterprise Tech 30 (ET30) – a definitive list of the most promising, private enterprise tech companies. This is our first time on the ET30 list, ranking number four on the list of ten companies in the late stage category. The recognition highlights the value our innovative products deliver to our customers and partners as we work together to unlock the value of all observability data.

Enterprises have enough data, in fact, they are overwhelmed with it, but finding the nuggets of value amongst the data ‘noise’ is not all that simple. It is bucket’d, blob’d, and bestrewn across the enterprise infrastructure in clouds, filesystems, and hosts machines. It’s logs, metrics, traces, config files, and more, but as Jimmy Buffett says, “we’ve all got ’em, we all want ’em, but what do we do with ’em”.