Data Management > Data Storage
1. Getting Started with vuSmartMaps™
3. Console
5. Configuration
6. Data Management
9. Monitoring and Managing vuSmartMaps™
Efficient data storage management is crucial for ensuring seamless operations and optimal performance within vuSmartMaps. With dedicated modules for both HyperScale and NoSQL Data Stores, administrators gain comprehensive control over organizing and accessing data.
The HyperScale Data Store offers a tiered approach, dividing data into Hot, Warm, and Cold storage states, each serving distinct purposes in data management and access. Similarly, the NoSQL Data Store introduces concepts of Open, Closed, and Archived indices, providing flexibility in managing data resources. From restoring cold data to archiving and retrieving indices, vuSmartMaps empowers users with intuitive tools and functionalities for streamlined data storage management, facilitating enhanced decision-making and productivity.
The data storage module within vuSmartMaps maintains data indices tailored to the specific type of data store being utilized, whether it’s the HyperScale Data Store or the NoSQL Data Store.
In the HyperScale Data Store, data is organized into three distinct tiers: Hot, Warm, and Cold Data Storage.
For the NoSQL Data Store, indices in vuSmartMaps can be in Open, Closed, or Archived states:
💡Note: It should be noted that a closed index takes up space in the disk as the data is still residing in the system.
The detailed steps to manage NoSQL Data Store indices are discussed in the section NoSQL Data Store.
The Data Storage page can be accessed from the platform left navigation menu by navigating to Data Management > Data Storage.
The landing page on clicking the Data Storage looks like the following:
Upon navigating to the landing page, you will find dedicated tabs for both the HyperScale Data Store and NoSQL Data Store.
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VuNet’s Business-Centric Observability platform, vuSmartMaps™ seamlessly links IT performance to business metrics and business journey performance. It empowers SRE and IT Ops teams to improve service success rates and transaction response times, while simultaneously providing business teams with critical, real-time insights. This enables faster incident detection and response.