Operations | Monitoring | ITSM | DevOps | Cloud

Awareness of data sovereignty is increasing within organizations. Geo-political situations and recent news stories are causing many to formally evaluate their data management strategies and policies. This means that organizations are also looking at the tools and platforms they use to run and maintain key IT infrastructure and undertake tasks such as monitoring and management. SaaS and cloud first/only tooling can often present data sovereignty challenges and complications.

Predictive Analytics Models and Algorithms are an important component of eG Enterprise’s AIOps engine for proactive observability. eG Enterprise collects and analyses metrics, events, logs and traces and the data including real usage data is used to make intelligent predictions to forecast future system behavior and IT resource metric levels.

I’ve previously covered how eG Innovations AIOps-powered monitoring benefits those working with Digital Workspaces or leveraging APM; today, I’ll cover how those same AI-powered capabilities benefit those supporting cloud hosted architectures and workloads.

Vulnerable system drivers continue to be a vector exploited by attackers to compromise systems. In eG Enterprise version 7.5 we added a number of periodic security checks to assist administrators proactively identify weaknesses, including vulnerable system drivers monitoring.This new capability is supported for a Windows OS, when using a VM agent for inside view monitoring and / or when monitoring an Azure Virtual Desktop session host.