Monitor storage buckets in real time, troubleshoot faults easily, get intelligent alerts and analyze historical data aggregated over a period.
Applications Manager's Google Cloud Storage monitoring tool procures data for various key metrics and presents them in a dashboard for easy understanding. Find out the load on your storage with stats of traffic and network requests.
Gain insights into network requests with details like the number of requests per minute for various actions made in the objects, viz. read, write, clone, get, list, update, delete, and rewrite.
Get extensive information about the objects in your Google Cloud Storage system. Applications Manager's Google Cloud Storage monitoring tool sorts the objects according to size to help you realize the storage intensive objects. A table with objects sorted according to category and upload date is also at hand for your reference. Get notifications when the size of an object changes or when the number of objects in a particular category goes up or down.
Manage your network traffic with thoroughly prepared visual charts and stats of incoming and outgoing traffic in your system. The graphs help you identify the time at which the traffic spikes so you can administer your storage data better.
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Generate notifications based on the alerting rules applied to key metric data, as well as escalate issues through email or SMS. Designate thresholds for various parameters, and configure alerts for threshold violations. With Applications Manager, you can establish dynamic baselines to detect anomalies and identify performance degradation in time to prevent major business catastrophes.
You can set up automated actions, such as email actions or SMS actions, and associate them with attribute thresholds and anomaly profiles; when these thresholds or profiles are violated, the specified actions will be performed without manual intervention.
Applications Manager's GCP Storage monitoring tool provides reports on all important performance attributes. With these reports, you can analyze the historical trends of various metrics to make informed decisions. Accurately plan your resources by anticipating growth and utilization trends using Forecast Reports, which employ machine learning techniques to predict utilization for up to three years.
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