By allowing your monitoring stack to discover and adapt to its own natural performance baselines, you free your engineers to build features rather than fight fires caused by stale alerts.
In the world of data engineering and machine learning operations, we spend a lot of time looking for the "why." Why did latency spike at 2:00 AM? Why did our recommendation engine suddenly stop converting? auto-nkp
In solid-state physics, the wavefunctions of electrons are sampled at specific points in reciprocal space (k-points). By allowing your monitoring stack to discover and
Auto-NKP solves this by treating performance monitoring as a machine learning problem, not a configuration problem. In solid-state physics, the wavefunctions of electrons are
In today's fast-paced digital landscape, network administrators face increasing pressure to ensure their networks are highly available, secure, and performing optimally. Managing complex network infrastructure can be a daunting task, especially when dealing with numerous devices, configurations, and updates. This is where Automated Network Configuration and Provisioning (Auto-NKP) comes into play.