The Cosmos DB Profiler is basically described to be a real-time visual debugger that has the ability and the power to allow the development team in order to gain very valuable insight as well as information along with the perspective into the usage of the Cosmos DB database. A Cloud Cost optimization tool where do user has the power to identify where he is overpaying the cloud along with the queries that can be reflected in order to save the users money. The recommendations are created in order to enable and help the user to reduce the storage of the data along with the processing of the resources. Alerts have been introduced to the user and the developer in a concise review manner in order to subject patterns of abuse from their own application of the user. For the process of streamlining the user attempt in order to fix the abuse, we have been supplying the links for the process of solving this problematic code section which has triggered alerts.
It has been known to slowing down the user money by lowering the user's monthly cloud invoice.
It provides Visual insights to the users and developers right into the interaction process between the user database as well as the program code.
The ability to identify the questions that are costing the user in order to refactor accordingly.
Analysis and analysis of the common people whenever the user is using the Cosmos DB.
It has the unique support for the Cosmos DB .NET SDK 2.x and 3.x.
Features and attributes of the Cosmos DB Profiler:
It has the following features and attributes that are stated below such as:
It has the ability to improve Microsoft azure as well as the performance of the Cosmos DB.
It has the ability to optimize the queries for the cost as well as time.
It can break the bottlenecks as well as the high-priced operations.
It has the tendency to save the money of the user and the developer on the cloud painlessly and quickly.
It slows down the user cash burn by the reduction of the user monthly cloud bill.
It provides visual insights to the user and developer right into the interaction of the applications.
It provides recommendations to the user and developer in order to reduce the storage of the data as well as the processing of the resources.
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