How is the snapshot system of aggregated dashboards implemented?

The snapshot system of aggregated dashboards is usually implemented as follows:

• A dashboard is an aggregated view of data formed from multiple sources.
• To ensure consistency and rollback capability, snapshots are created — images of the dashboard's state at a specific point in time.
• When the dashboard is updated, a new snapshot is created containing the current aggregated data.
• A snapshot can be stored in a database or in a file storage, with metadata (creation time, version).
• When data is requested, the system can use the latest snapshot for a quick response, without recalculating aggregates on the fly.
• For implementation in Go, data structures with versioning and mechanisms for atomic snapshot updates are often used.

An example of simplified logic:

// Snapshot stores aggregated data and metadata
 type Snapshot struct {
    Version   int
    Data      AggregatedData
    Timestamp time.Time
}

// Updating snapshot
func UpdateSnapshot(old Snapshot, newData AggregatedData) Snapshot {
    return Snapshot{
        Version:   old.Version + 1,
        Data:      newData,
        Timestamp: time.Now(),
    }
}

Thus, snapshots allow quick access to consistent aggregated data and management of their versions.