Businesses are no longer limited by their financial capacity to invest in compute and storage resources, routers, and related IT services. Cloud computing delivers limitless access on-demand, eliminating the risk of service failure.

Alternatively, organisations with regulatory or cybersecurity limitations can retain mission-critical applications on-premises, behind their own firewalls, that can be managed by dedicated support teams while migrating the rest of their workloads to the cloud.

Proactive analysis of modern IT infrastructure allows businesses to predict or identify performance problems before they become urgent and ensures that network resources are operating as intended.

The dynamic nature of the modern IT infrastructure requires detailed monitoring methods that focus on the combined health and performance of the services.

A modern IT environment must contend with new layers of complexity that can limit visibility of the infrastructure. Greater monitoring of the assets is critical to reducing outages for software applications and minimising the response time.

With many diverse moving parts, the failure of an individual component could bring the entire infrastructure to a grinding halt.

An effective monitoring system will cut through all the layers to identify exactly which component has an issue.

Modern IT infrastructures can quickly expand and become more complex than traditional environments. As a result, the volume of monitoring data generated and the need to respond to changes can also grow significantly.

This limitation can be addressed through IT Automation or artificial intelligence for IT operations. Monitoring tools use AI to correlate infrastructure data to provide predictive insights for issue prevention.

In addition, machine learning algorithms can intelligently track trends to identify patterns before an anomaly rises, helping to speed up the meantime to detect or discover (MTTD).