OpsNow has been providing a service that detects abnormal costs based on user settings and AI and notifies users with alarms. The 'Abnormal Cost Alarm List' and 'Abnormal Cost Details' features have been launched to help you make more powerful use of this service.
The abnormal cost list provides alarms and detection details of all abnormal expenses that occurred during the set period in the form of a table. Alarms that have occurred are summarized by severity and type (based on user rules or AI), so you can check the frequency of unusual costs at a glance.
It also shows the 5 most common causes of alarms and the 5 causes of the highest variable cost compared to the overall variable cost to help users respond quickly. The abnormal cost list not only provides a function to check abnormal cost detection details, but also a function to set whether to receive alarms and their importance level, and download the corresponding details.
If the overall situation can be identified from the abnormal cost list function, the abnormal cost alarm detail is a function that provides a more detailed analysis of the abnormal costs that occurred on the corresponding date and at each service level.
It shows the difference between the predicted cost for that date and the actual cost incurred, and provides the user with the basis on which AI analysis model determined the abnormal cost. In addition, information on services determined to have caused abnormal costs is also provided in the form of a table.
Alarms can also be easily controlled by checking alarm settings and providing links to control them, and also provides links for users who need further questions about abnormal cost detection.
Manage cloud abnormal expenses more easily and conveniently with the 'Abnormal Cost Alarm List' and 'Abnormal Cost Alarm Details'. The 'Abnormal Cost Detection List' can be accessed through the OpsNow menu and the widget on the user dashboard, and the 'Abnormal Cost Alarm Details' can be accessed through the Abnormal Cost Detection List and the widget on the user dashboard.
Q > What can I check on the anomalous cost detection list?
A > All abnormal cost detections are checked with serious, important, and normal ratings, and the top 5 items for each user rule and AI analysis detection can be checked at a glance. In the alarm detection list, past and present detection records can be checked in detail by alarm rating, detection method, and vendor.
Q > Can I check the anomalous cost detection history that occurred in the past?
A > With four daily settings, users can check abnormal cost detection records at the desired point in time.
Q > What are the TOP5 selection criteria?
A > Top 5 cumulative user rule cumulative alarmslists 5 types of alarms in order of how many alarms were sent when a cost exceeds the threshold set in the user rule anomaly cost detection widget, and the criteria are classified by service, account, and region.
Top 5 AI cumulative fluctuation rateslists 5 services in highest order where the variable cost generated by each service is large compared to the total amount of variable cost for all services, which is the difference between the cost predicted by AI and the actual cost incurred.
Q > Can I stop receiving abnormal cost alarms?
A > We plan to make it selectable whether or not to receive an alarm.
Q > Can I check the details of the abnormal costs detected?
A > Yes Each detail is provided depending on the detection method. Results detected by user rules are automatically linked to the Compare function of Cost Analytics, so you can check rapidly fluctuating amounts. AI-based detection results provide the results of the analysis model detected in the details of abnormal cost alarms and the service details that affected
OpsNow has been providing a service that detects abnormal costs based on user settings and AI and notifies users with alarms. The 'Abnormal Cost Alarm List' and 'Abnormal Cost Details' features have been launched to help you make more powerful use of this service.
The abnormal cost list provides alarms and detection details of all abnormal expenses that occurred during the set period in the form of a table. Alarms that have occurred are summarized by severity and type (based on user rules or AI), so you can check the frequency of unusual costs at a glance.
It also shows the 5 most common causes of alarms and the 5 causes of the highest variable cost compared to the overall variable cost to help users respond quickly. The abnormal cost list not only provides a function to check abnormal cost detection details, but also a function to set whether to receive alarms and their importance level, and download the corresponding details.
If the overall situation can be identified from the abnormal cost list function, the abnormal cost alarm detail is a function that provides a more detailed analysis of the abnormal costs that occurred on the corresponding date and at each service level.
It shows the difference between the predicted cost for that date and the actual cost incurred, and provides the user with the basis on which AI analysis model determined the abnormal cost. In addition, information on services determined to have caused abnormal costs is also provided in the form of a table.
Alarms can also be easily controlled by checking alarm settings and providing links to control them, and also provides links for users who need further questions about abnormal cost detection.
Manage cloud abnormal expenses more easily and conveniently with the 'Abnormal Cost Alarm List' and 'Abnormal Cost Alarm Details'. The 'Abnormal Cost Detection List' can be accessed through the OpsNow menu and the widget on the user dashboard, and the 'Abnormal Cost Alarm Details' can be accessed through the Abnormal Cost Detection List and the widget on the user dashboard.
Q > What can I check on the anomalous cost detection list?
A > All abnormal cost detections are checked with serious, important, and normal ratings, and the top 5 items for each user rule and AI analysis detection can be checked at a glance. In the alarm detection list, past and present detection records can be checked in detail by alarm rating, detection method, and vendor.
Q > Can I check the anomalous cost detection history that occurred in the past?
A > With four daily settings, users can check abnormal cost detection records at the desired point in time.
Q > What are the TOP5 selection criteria?
A > Top 5 cumulative user rule cumulative alarmslists 5 types of alarms in order of how many alarms were sent when a cost exceeds the threshold set in the user rule anomaly cost detection widget, and the criteria are classified by service, account, and region.
Top 5 AI cumulative fluctuation rateslists 5 services in highest order where the variable cost generated by each service is large compared to the total amount of variable cost for all services, which is the difference between the cost predicted by AI and the actual cost incurred.
Q > Can I stop receiving abnormal cost alarms?
A > We plan to make it selectable whether or not to receive an alarm.
Q > Can I check the details of the abnormal costs detected?
A > Yes Each detail is provided depending on the detection method. Results detected by user rules are automatically linked to the Compare function of Cost Analytics, so you can check rapidly fluctuating amounts. AI-based detection results provide the results of the analysis model detected in the details of abnormal cost alarms and the service details that affected
OpsNow has been providing a service that detects abnormal costs based on user settings and AI and notifies users with alarms. The 'Abnormal Cost Alarm List' and 'Abnormal Cost Details' features have been launched to help you make more powerful use of this service.
The abnormal cost list provides alarms and detection details of all abnormal expenses that occurred during the set period in the form of a table. Alarms that have occurred are summarized by severity and type (based on user rules or AI), so you can check the frequency of unusual costs at a glance.
It also shows the 5 most common causes of alarms and the 5 causes of the highest variable cost compared to the overall variable cost to help users respond quickly. The abnormal cost list not only provides a function to check abnormal cost detection details, but also a function to set whether to receive alarms and their importance level, and download the corresponding details.
If the overall situation can be identified from the abnormal cost list function, the abnormal cost alarm detail is a function that provides a more detailed analysis of the abnormal costs that occurred on the corresponding date and at each service level.
It shows the difference between the predicted cost for that date and the actual cost incurred, and provides the user with the basis on which AI analysis model determined the abnormal cost. In addition, information on services determined to have caused abnormal costs is also provided in the form of a table.
Alarms can also be easily controlled by checking alarm settings and providing links to control them, and also provides links for users who need further questions about abnormal cost detection.
Manage cloud abnormal expenses more easily and conveniently with the 'Abnormal Cost Alarm List' and 'Abnormal Cost Alarm Details'. The 'Abnormal Cost Detection List' can be accessed through the OpsNow menu and the widget on the user dashboard, and the 'Abnormal Cost Alarm Details' can be accessed through the Abnormal Cost Detection List and the widget on the user dashboard.
Q > What can I check on the anomalous cost detection list?
A > All abnormal cost detections are checked with serious, important, and normal ratings, and the top 5 items for each user rule and AI analysis detection can be checked at a glance. In the alarm detection list, past and present detection records can be checked in detail by alarm rating, detection method, and vendor.
Q > Can I check the anomalous cost detection history that occurred in the past?
A > With four daily settings, users can check abnormal cost detection records at the desired point in time.
Q > What are the TOP5 selection criteria?
A > Top 5 cumulative user rule cumulative alarmslists 5 types of alarms in order of how many alarms were sent when a cost exceeds the threshold set in the user rule anomaly cost detection widget, and the criteria are classified by service, account, and region.
Top 5 AI cumulative fluctuation rateslists 5 services in highest order where the variable cost generated by each service is large compared to the total amount of variable cost for all services, which is the difference between the cost predicted by AI and the actual cost incurred.
Q > Can I stop receiving abnormal cost alarms?
A > We plan to make it selectable whether or not to receive an alarm.
Q > Can I check the details of the abnormal costs detected?
A > Yes Each detail is provided depending on the detection method. Results detected by user rules are automatically linked to the Compare function of Cost Analytics, so you can check rapidly fluctuating amounts. AI-based detection results provide the results of the analysis model detected in the details of abnormal cost alarms and the service details that affected
OpsNow has been providing a service that detects abnormal costs based on user settings and AI and notifies users with alarms. The 'Abnormal Cost Alarm List' and 'Abnormal Cost Details' features have been launched to help you make more powerful use of this service.
The abnormal cost list provides alarms and detection details of all abnormal expenses that occurred during the set period in the form of a table. Alarms that have occurred are summarized by severity and type (based on user rules or AI), so you can check the frequency of unusual costs at a glance.
It also shows the 5 most common causes of alarms and the 5 causes of the highest variable cost compared to the overall variable cost to help users respond quickly. The abnormal cost list not only provides a function to check abnormal cost detection details, but also a function to set whether to receive alarms and their importance level, and download the corresponding details.
If the overall situation can be identified from the abnormal cost list function, the abnormal cost alarm detail is a function that provides a more detailed analysis of the abnormal costs that occurred on the corresponding date and at each service level.
It shows the difference between the predicted cost for that date and the actual cost incurred, and provides the user with the basis on which AI analysis model determined the abnormal cost. In addition, information on services determined to have caused abnormal costs is also provided in the form of a table.
Alarms can also be easily controlled by checking alarm settings and providing links to control them, and also provides links for users who need further questions about abnormal cost detection.
Manage cloud abnormal expenses more easily and conveniently with the 'Abnormal Cost Alarm List' and 'Abnormal Cost Alarm Details'. The 'Abnormal Cost Detection List' can be accessed through the OpsNow menu and the widget on the user dashboard, and the 'Abnormal Cost Alarm Details' can be accessed through the Abnormal Cost Detection List and the widget on the user dashboard.
Q > What can I check on the anomalous cost detection list?
A > All abnormal cost detections are checked with serious, important, and normal ratings, and the top 5 items for each user rule and AI analysis detection can be checked at a glance. In the alarm detection list, past and present detection records can be checked in detail by alarm rating, detection method, and vendor.
Q > Can I check the anomalous cost detection history that occurred in the past?
A > With four daily settings, users can check abnormal cost detection records at the desired point in time.
Q > What are the TOP5 selection criteria?
A > Top 5 cumulative user rule cumulative alarmslists 5 types of alarms in order of how many alarms were sent when a cost exceeds the threshold set in the user rule anomaly cost detection widget, and the criteria are classified by service, account, and region.
Top 5 AI cumulative fluctuation rateslists 5 services in highest order where the variable cost generated by each service is large compared to the total amount of variable cost for all services, which is the difference between the cost predicted by AI and the actual cost incurred.
Q > Can I stop receiving abnormal cost alarms?
A > We plan to make it selectable whether or not to receive an alarm.
Q > Can I check the details of the abnormal costs detected?
A > Yes Each detail is provided depending on the detection method. Results detected by user rules are automatically linked to the Compare function of Cost Analytics, so you can check rapidly fluctuating amounts. AI-based detection results provide the results of the analysis model detected in the details of abnormal cost alarms and the service details that affected
OpsNow has been providing a service that detects abnormal costs based on user settings and AI and notifies users with alarms. The 'Abnormal Cost Alarm List' and 'Abnormal Cost Details' features have been launched to help you make more powerful use of this service.
The abnormal cost list provides alarms and detection details of all abnormal expenses that occurred during the set period in the form of a table. Alarms that have occurred are summarized by severity and type (based on user rules or AI), so you can check the frequency of unusual costs at a glance.
It also shows the 5 most common causes of alarms and the 5 causes of the highest variable cost compared to the overall variable cost to help users respond quickly. The abnormal cost list not only provides a function to check abnormal cost detection details, but also a function to set whether to receive alarms and their importance level, and download the corresponding details.
If the overall situation can be identified from the abnormal cost list function, the abnormal cost alarm detail is a function that provides a more detailed analysis of the abnormal costs that occurred on the corresponding date and at each service level.
It shows the difference between the predicted cost for that date and the actual cost incurred, and provides the user with the basis on which AI analysis model determined the abnormal cost. In addition, information on services determined to have caused abnormal costs is also provided in the form of a table.
Alarms can also be easily controlled by checking alarm settings and providing links to control them, and also provides links for users who need further questions about abnormal cost detection.
Manage cloud abnormal expenses more easily and conveniently with the 'Abnormal Cost Alarm List' and 'Abnormal Cost Alarm Details'. The 'Abnormal Cost Detection List' can be accessed through the OpsNow menu and the widget on the user dashboard, and the 'Abnormal Cost Alarm Details' can be accessed through the Abnormal Cost Detection List and the widget on the user dashboard.
Q > What can I check on the anomalous cost detection list?
A > All abnormal cost detections are checked with serious, important, and normal ratings, and the top 5 items for each user rule and AI analysis detection can be checked at a glance. In the alarm detection list, past and present detection records can be checked in detail by alarm rating, detection method, and vendor.
Q > Can I check the anomalous cost detection history that occurred in the past?
A > With four daily settings, users can check abnormal cost detection records at the desired point in time.
Q > What are the TOP5 selection criteria?
A > Top 5 cumulative user rule cumulative alarmslists 5 types of alarms in order of how many alarms were sent when a cost exceeds the threshold set in the user rule anomaly cost detection widget, and the criteria are classified by service, account, and region.
Top 5 AI cumulative fluctuation rateslists 5 services in highest order where the variable cost generated by each service is large compared to the total amount of variable cost for all services, which is the difference between the cost predicted by AI and the actual cost incurred.
Q > Can I stop receiving abnormal cost alarms?
A > We plan to make it selectable whether or not to receive an alarm.
Q > Can I check the details of the abnormal costs detected?
A > Yes Each detail is provided depending on the detection method. Results detected by user rules are automatically linked to the Compare function of Cost Analytics, so you can check rapidly fluctuating amounts. AI-based detection results provide the results of the analysis model detected in the details of abnormal cost alarms and the service details that affected