
With the transition to cloud-native environments and the adoption of Microservices Architecture (MSA), the IT infrastructure of enterprise companies has become incomparably more complex than in the past. Consequently, companies are introducing and using an average of 5 to 10 or more various monitoring tools like AWS CloudWatch, Datadog, Zabbix, and Prometheus to monitor each area, including infrastructure, applications, networks, and security. However, as the number of monitoring tools increases, the operations team's concerns actually deepen. When a failure occurs, the real crisis starts not from the server stopping, but from the 'confusion of not knowing which alert information to look at first amid the pouring, disparate alarms'.
Imagine an environment where Team A receives Zabbix alarms via the company messenger, and Team B checks Datadog alarms via email. If a major failure breaks out at dawn, each person in charge stares only at their assigned monitoring screen, wasting precious golden time exchanging fragmented information, saying, "Our DB metrics are normal, though?" or "The network traffic seems strange". When individual tools become siloed like this, you cannot grasp the overall context of the failure, which takes an enormous amount of time to find the root cause. Ultimately, despite introducing many monitoring tools, you fall into the paradox where the Mean Time To Resolve (MTTR) is not shortened at all.
OpsNow's AlertNow is an intelligent incident management platform that perfectly integrates this scattered monitoring environment into a single screen.
When all alarms are gathered in one place through AlertNow, an innovative operational process that was previously impossible becomes a reality. First, AI groups (clusters) chain alarms occurring simultaneously across multiple systems into a single incident, removing more than 80% of noise. Second, because the entire incident response team communicates while looking at the exact same AlertNow screen, the wasteful communication cost of asking "Which dashboard should I look at?" converges to zero.

Monitoring tools are not to blame. The problem is that there was no 'control tower' to command the signals sent by those tools in one place. Integrate all alarms from scattered infrastructure into a single orchestra called AlertNow, and experience for yourself the remarkable transformation of reducing the initial response time, which used to take at least an hour from confirmation to finding a response method, to under 5 minutes.

With the transition to cloud-native environments and the adoption of Microservices Architecture (MSA), the IT infrastructure of enterprise companies has become incomparably more complex than in the past. Consequently, companies are introducing and using an average of 5 to 10 or more various monitoring tools like AWS CloudWatch, Datadog, Zabbix, and Prometheus to monitor each area, including infrastructure, applications, networks, and security. However, as the number of monitoring tools increases, the operations team's concerns actually deepen. When a failure occurs, the real crisis starts not from the server stopping, but from the 'confusion of not knowing which alert information to look at first amid the pouring, disparate alarms'.
Imagine an environment where Team A receives Zabbix alarms via the company messenger, and Team B checks Datadog alarms via email. If a major failure breaks out at dawn, each person in charge stares only at their assigned monitoring screen, wasting precious golden time exchanging fragmented information, saying, "Our DB metrics are normal, though?" or "The network traffic seems strange". When individual tools become siloed like this, you cannot grasp the overall context of the failure, which takes an enormous amount of time to find the root cause. Ultimately, despite introducing many monitoring tools, you fall into the paradox where the Mean Time To Resolve (MTTR) is not shortened at all.
OpsNow's AlertNow is an intelligent incident management platform that perfectly integrates this scattered monitoring environment into a single screen.
When all alarms are gathered in one place through AlertNow, an innovative operational process that was previously impossible becomes a reality. First, AI groups (clusters) chain alarms occurring simultaneously across multiple systems into a single incident, removing more than 80% of noise. Second, because the entire incident response team communicates while looking at the exact same AlertNow screen, the wasteful communication cost of asking "Which dashboard should I look at?" converges to zero.

Monitoring tools are not to blame. The problem is that there was no 'control tower' to command the signals sent by those tools in one place. Integrate all alarms from scattered infrastructure into a single orchestra called AlertNow, and experience for yourself the remarkable transformation of reducing the initial response time, which used to take at least an hour from confirmation to finding a response method, to under 5 minutes.
With the transition to cloud-native environments and the adoption of Microservices Architecture (MSA), the IT infrastructure of enterprise companies has become incomparably more complex than in the past. Consequently, companies are introducing and using an average of 5 to 10 or more various monitoring tools like AWS CloudWatch, Datadog, Zabbix, and Prometheus to monitor each area, including infrastructure, applications, networks, and security. However, as the number of monitoring tools increases, the operations team's concerns actually deepen. When a failure occurs, the real crisis starts not from the server stopping, but from the 'confusion of not knowing which alert information to look at first amid the pouring, disparate alarms'.
Imagine an environment where Team A receives Zabbix alarms via the company messenger, and Team B checks Datadog alarms via email. If a major failure breaks out at dawn, each person in charge stares only at their assigned monitoring screen, wasting precious golden time exchanging fragmented information, saying, "Our DB metrics are normal, though?" or "The network traffic seems strange". When individual tools become siloed like this, you cannot grasp the overall context of the failure, which takes an enormous amount of time to find the root cause. Ultimately, despite introducing many monitoring tools, you fall into the paradox where the Mean Time To Resolve (MTTR) is not shortened at all.
OpsNow's AlertNow is an intelligent incident management platform that perfectly integrates this scattered monitoring environment into a single screen.
When all alarms are gathered in one place through AlertNow, an innovative operational process that was previously impossible becomes a reality. First, AI groups (clusters) chain alarms occurring simultaneously across multiple systems into a single incident, removing more than 80% of noise. Second, because the entire incident response team communicates while looking at the exact same AlertNow screen, the wasteful communication cost of asking "Which dashboard should I look at?" converges to zero.

Monitoring tools are not to blame. The problem is that there was no 'control tower' to command the signals sent by those tools in one place. Integrate all alarms from scattered infrastructure into a single orchestra called AlertNow, and experience for yourself the remarkable transformation of reducing the initial response time, which used to take at least an hour from confirmation to finding a response method, to under 5 minutes.


With the transition to cloud-native environments and the adoption of Microservices Architecture (MSA), the IT infrastructure of enterprise companies has become incomparably more complex than in the past. Consequently, companies are introducing and using an average of 5 to 10 or more various monitoring tools like AWS CloudWatch, Datadog, Zabbix, and Prometheus to monitor each area, including infrastructure, applications, networks, and security. However, as the number of monitoring tools increases, the operations team's concerns actually deepen. When a failure occurs, the real crisis starts not from the server stopping, but from the 'confusion of not knowing which alert information to look at first amid the pouring, disparate alarms'.
Imagine an environment where Team A receives Zabbix alarms via the company messenger, and Team B checks Datadog alarms via email. If a major failure breaks out at dawn, each person in charge stares only at their assigned monitoring screen, wasting precious golden time exchanging fragmented information, saying, "Our DB metrics are normal, though?" or "The network traffic seems strange". When individual tools become siloed like this, you cannot grasp the overall context of the failure, which takes an enormous amount of time to find the root cause. Ultimately, despite introducing many monitoring tools, you fall into the paradox where the Mean Time To Resolve (MTTR) is not shortened at all.
OpsNow's AlertNow is an intelligent incident management platform that perfectly integrates this scattered monitoring environment into a single screen.
When all alarms are gathered in one place through AlertNow, an innovative operational process that was previously impossible becomes a reality. First, AI groups (clusters) chain alarms occurring simultaneously across multiple systems into a single incident, removing more than 80% of noise. Second, because the entire incident response team communicates while looking at the exact same AlertNow screen, the wasteful communication cost of asking "Which dashboard should I look at?" converges to zero.

Monitoring tools are not to blame. The problem is that there was no 'control tower' to command the signals sent by those tools in one place. Integrate all alarms from scattered infrastructure into a single orchestra called AlertNow, and experience for yourself the remarkable transformation of reducing the initial response time, which used to take at least an hour from confirmation to finding a response method, to under 5 minutes.
With the transition to cloud-native environments and the adoption of Microservices Architecture (MSA), the IT infrastructure of enterprise companies has become incomparably more complex than in the past. Consequently, companies are introducing and using an average of 5 to 10 or more various monitoring tools like AWS CloudWatch, Datadog, Zabbix, and Prometheus to monitor each area, including infrastructure, applications, networks, and security. However, as the number of monitoring tools increases, the operations team's concerns actually deepen. When a failure occurs, the real crisis starts not from the server stopping, but from the 'confusion of not knowing which alert information to look at first amid the pouring, disparate alarms'.
Imagine an environment where Team A receives Zabbix alarms via the company messenger, and Team B checks Datadog alarms via email. If a major failure breaks out at dawn, each person in charge stares only at their assigned monitoring screen, wasting precious golden time exchanging fragmented information, saying, "Our DB metrics are normal, though?" or "The network traffic seems strange". When individual tools become siloed like this, you cannot grasp the overall context of the failure, which takes an enormous amount of time to find the root cause. Ultimately, despite introducing many monitoring tools, you fall into the paradox where the Mean Time To Resolve (MTTR) is not shortened at all.
OpsNow's AlertNow is an intelligent incident management platform that perfectly integrates this scattered monitoring environment into a single screen.
When all alarms are gathered in one place through AlertNow, an innovative operational process that was previously impossible becomes a reality. First, AI groups (clusters) chain alarms occurring simultaneously across multiple systems into a single incident, removing more than 80% of noise. Second, because the entire incident response team communicates while looking at the exact same AlertNow screen, the wasteful communication cost of asking "Which dashboard should I look at?" converges to zero.

Monitoring tools are not to blame. The problem is that there was no 'control tower' to command the signals sent by those tools in one place. Integrate all alarms from scattered infrastructure into a single orchestra called AlertNow, and experience for yourself the remarkable transformation of reducing the initial response time, which used to take at least an hour from confirmation to finding a response method, to under 5 minutes.

With the transition to cloud-native environments and the adoption of Microservices Architecture (MSA), the IT infrastructure of enterprise companies has become incomparably more complex than in the past. Consequently, companies are introducing and using an average of 5 to 10 or more various monitoring tools like AWS CloudWatch, Datadog, Zabbix, and Prometheus to monitor each area, including infrastructure, applications, networks, and security. However, as the number of monitoring tools increases, the operations team's concerns actually deepen. When a failure occurs, the real crisis starts not from the server stopping, but from the 'confusion of not knowing which alert information to look at first amid the pouring, disparate alarms'.
Imagine an environment where Team A receives Zabbix alarms via the company messenger, and Team B checks Datadog alarms via email. If a major failure breaks out at dawn, each person in charge stares only at their assigned monitoring screen, wasting precious golden time exchanging fragmented information, saying, "Our DB metrics are normal, though?" or "The network traffic seems strange". When individual tools become siloed like this, you cannot grasp the overall context of the failure, which takes an enormous amount of time to find the root cause. Ultimately, despite introducing many monitoring tools, you fall into the paradox where the Mean Time To Resolve (MTTR) is not shortened at all.
OpsNow's AlertNow is an intelligent incident management platform that perfectly integrates this scattered monitoring environment into a single screen.
When all alarms are gathered in one place through AlertNow, an innovative operational process that was previously impossible becomes a reality. First, AI groups (clusters) chain alarms occurring simultaneously across multiple systems into a single incident, removing more than 80% of noise. Second, because the entire incident response team communicates while looking at the exact same AlertNow screen, the wasteful communication cost of asking "Which dashboard should I look at?" converges to zero.

Monitoring tools are not to blame. The problem is that there was no 'control tower' to command the signals sent by those tools in one place. Integrate all alarms from scattered infrastructure into a single orchestra called AlertNow, and experience for yourself the remarkable transformation of reducing the initial response time, which used to take at least an hour from confirmation to finding a response method, to under 5 minutes.