As IT infrastructure environments become more complex, companies use an average of 5 to 10 monitoring tools, resulting in hundreds of alerts pouring in every day. The problem is that a staggering 85% of the alerts received by the operations team are 'noise' that do not require actual action.
When a problem occurs in a single DB server, the monitoring tool doesn't just notify you of the DB error. It triggers a chain reaction of warning alarms everywhere, including the connected network, WAS, and front-end applications. Crucial alerts get buried in the noise, causing actual failures to be missed, and operators experience 'Alert Fatigue', becoming numb to the flood of alarms.
AlertNow initially filters out noise by collecting alerts on a single platform and eliminating duplicates. But it doesn't stop there. AlertNow's AIOps Add-On feature analyzes accumulated data and operational context to deliver overwhelming operational efficiency.
Going beyond a simple alarm delivery tool, AlertNow uses AI to analyze collected incident data and automatically infer the root cause.
Customers who have adopted AlertNow have reduced alert noise by an average of 80% and achieved a 40% reduction in Mean Time To Resolve (MTTR). Don't get lost in a flood of alarms; start responding to incidents quickly and accurately with AlertNow's intelligent clustering.
As IT infrastructure environments become more complex, companies use an average of 5 to 10 monitoring tools, resulting in hundreds of alerts pouring in every day. The problem is that a staggering 85% of the alerts received by the operations team are 'noise' that do not require actual action.
When a problem occurs in a single DB server, the monitoring tool doesn't just notify you of the DB error. It triggers a chain reaction of warning alarms everywhere, including the connected network, WAS, and front-end applications. Crucial alerts get buried in the noise, causing actual failures to be missed, and operators experience 'Alert Fatigue', becoming numb to the flood of alarms.
AlertNow initially filters out noise by collecting alerts on a single platform and eliminating duplicates. But it doesn't stop there. AlertNow's AIOps Add-On feature analyzes accumulated data and operational context to deliver overwhelming operational efficiency.
Going beyond a simple alarm delivery tool, AlertNow uses AI to analyze collected incident data and automatically infer the root cause.
Customers who have adopted AlertNow have reduced alert noise by an average of 80% and achieved a 40% reduction in Mean Time To Resolve (MTTR). Don't get lost in a flood of alarms; start responding to incidents quickly and accurately with AlertNow's intelligent clustering.
As IT infrastructure environments become more complex, companies use an average of 5 to 10 monitoring tools, resulting in hundreds of alerts pouring in every day. The problem is that a staggering 85% of the alerts received by the operations team are 'noise' that do not require actual action.
When a problem occurs in a single DB server, the monitoring tool doesn't just notify you of the DB error. It triggers a chain reaction of warning alarms everywhere, including the connected network, WAS, and front-end applications. Crucial alerts get buried in the noise, causing actual failures to be missed, and operators experience 'Alert Fatigue', becoming numb to the flood of alarms.
AlertNow initially filters out noise by collecting alerts on a single platform and eliminating duplicates. But it doesn't stop there. AlertNow's AIOps Add-On feature analyzes accumulated data and operational context to deliver overwhelming operational efficiency.
Going beyond a simple alarm delivery tool, AlertNow uses AI to analyze collected incident data and automatically infer the root cause.
Customers who have adopted AlertNow have reduced alert noise by an average of 80% and achieved a 40% reduction in Mean Time To Resolve (MTTR). Don't get lost in a flood of alarms; start responding to incidents quickly and accurately with AlertNow's intelligent clustering.
