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# Monitoring Integration
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InfluxDB integration for backup operation monitoring and metrics collection, enabling operational visibility into backup processes. The monitoring system tracks backup operations, performance metrics, and operational health indicators.
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## Capabilities
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### InfluxDB Metrics Collection
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Comprehensive metrics collection and reporting to InfluxDB for backup operation monitoring.
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```python { .api }
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def main(args, settings):
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    """
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    Send backup operation metrics to InfluxDB
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    Module: grafana_backup.influx
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    Args:
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        args (dict): Command line arguments from backup operation
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        settings (dict): Configuration settings including InfluxDB connection details
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    Features: Operation metrics, timing data, success/failure tracking
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    Metrics: Backup duration, component counts, operation status
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    """
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```
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## Configuration Requirements
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### InfluxDB Connection Settings
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```python { .api }
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# InfluxDB configuration settings
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INFLUXDB_MEASUREMENT: str  # InfluxDB measurement name (default: "grafana_backup")
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INFLUXDB_HOST: str         # InfluxDB server hostname
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INFLUXDB_PORT: int         # InfluxDB server port (default: 8086)
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INFLUXDB_USERNAME: str     # InfluxDB username for authentication
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INFLUXDB_PASSWORD: str     # InfluxDB password for authentication
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INFLUXDB_DATABASE: str     # InfluxDB database name for metrics storage
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```
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### Configuration File Example
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```json
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{
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  "influxdb": {
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    "measurement": "grafana_backup",
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    "host": "localhost",
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    "port": 8086,
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    "username": "monitoring",
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    "password": "monitoring_password",
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    "database": "grafana_metrics"
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  }
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}
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```
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### Environment Variable Configuration
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```bash
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export INFLUXDB_MEASUREMENT="grafana_backup"
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export INFLUXDB_HOST="influxdb.example.com"
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export INFLUXDB_PORT=8086
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export INFLUXDB_USERNAME="monitoring"
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export INFLUXDB_PASSWORD="secure_password"
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export INFLUXDB_DATABASE="grafana_metrics"
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```
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## Metrics Collection
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### Automatic Metrics Collection
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Metrics collection is automatically triggered after successful backup completion when InfluxDB is configured:
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```python
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# Backup workflow with automatic metrics collection
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from grafana_backup.save import main as save_backup
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# Configure InfluxDB in settings
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settings['INFLUXDB_HOST'] = 'influxdb.example.com'
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settings['INFLUXDB_DATABASE'] = 'grafana_metrics'
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# Backup process automatically sends metrics if InfluxDB is configured
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save_args = {
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    'save': True,
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    '--components': None,
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    '--no-archive': False,
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    '--config': None
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}
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save_backup(save_args, settings)
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# 1. Performs backup operations
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# 2. Creates archive (if enabled)
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# 3. Uploads to cloud storage (if configured)
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# 4. Sends metrics to InfluxDB (if configured)
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```
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### Collected Metrics
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The monitoring system collects comprehensive metrics about backup operations:
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#### Operation Metrics
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- **Operation type**: backup, restore, delete
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- **Operation status**: success, failure, partial
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- **Start time**: ISO timestamp of operation start
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- **End time**: ISO timestamp of operation completion
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- **Duration**: Total operation duration in seconds
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#### Component Metrics
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- **Components processed**: List of Grafana components included
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- **Component counts**: Number of items backed up per component type
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- **Component timing**: Time spent processing each component type
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- **Component status**: Success/failure status per component
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#### System Metrics
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- **Grafana instance**: Source Grafana server information
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- **Archive size**: Size of created backup archive
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- **File counts**: Number of files created per component
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- **Error counts**: Number of errors encountered during operation
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#### Performance Metrics
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- **API response times**: Grafana API call performance
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- **Data transfer rates**: Backup and upload throughput
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- **Resource utilization**: Memory and disk usage during operations
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- **Concurrent operations**: Number of parallel operations performed
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## Usage Examples
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### Basic Monitoring Setup
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```python
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from grafana_backup.save import main as save_backup
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from grafana_backup.grafanaSettings import main as load_config
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# Load configuration with InfluxDB settings
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settings = load_config('/path/to/grafanaSettings.json')
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# Ensure InfluxDB is configured
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settings.update({
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    'INFLUXDB_HOST': 'influxdb.example.com',
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    'INFLUXDB_PORT': 8086,
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    'INFLUXDB_USERNAME': 'monitoring',
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    'INFLUXDB_PASSWORD': 'secure_password',
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    'INFLUXDB_DATABASE': 'grafana_metrics',
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    'INFLUXDB_MEASUREMENT': 'grafana_backup'
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})
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# Perform backup with automatic metrics collection
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save_args = {
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    'save': True,
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    '--components': None,
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    '--no-archive': False,
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    '--config': None
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}
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save_backup(save_args, settings)
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```
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### Manual Metrics Sending
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```python
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from grafana_backup.influx import main as send_metrics
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# Send metrics manually after operations
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metrics_args = {
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    'save': True,
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    '--components': 'dashboards,datasources',
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    '--config': None
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}
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send_metrics(metrics_args, settings)
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```
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### Metrics Collection for All Operations
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```python
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# Backup operations automatically collect metrics
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save_backup(save_args, settings)
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# Restore operations can also collect metrics (if implemented)
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from grafana_backup.restore import main as restore_backup
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restore_args = {
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    'restore': True,
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    '<archive_file>': 'backup_202501011200.tar.gz',
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    '--components': None,
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    '--config': None
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}
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restore_backup(restore_args, settings)
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# Delete operations can collect metrics (if implemented)
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from grafana_backup.delete import main as delete_components
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delete_args = {
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    'delete': True,
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    '--components': 'snapshots',
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    '--config': None
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}
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delete_components(delete_args, settings)
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```
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## InfluxDB Data Schema
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### Measurement Structure
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Metrics are stored in InfluxDB using a structured measurement format:
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```
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measurement: grafana_backup (configurable via INFLUXDB_MEASUREMENT)
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tags:
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  - operation_type: "backup" | "restore" | "delete"
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  - operation_status: "success" | "failure" | "partial"
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  - grafana_host: Grafana server hostname
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  - components: Comma-separated list of components processed
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  - archive_created: "true" | "false"
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  - cloud_upload: "s3" | "azure" | "gcs" | "none"
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fields:
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  - duration: Operation duration in seconds (float)
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  - start_time: Operation start timestamp (string)
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  - end_time: Operation end timestamp (string)
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  - dashboard_count: Number of dashboards processed (integer)
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  - datasource_count: Number of datasources processed (integer)
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  - folder_count: Number of folders processed (integer)
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  - user_count: Number of users processed (integer)
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  - team_count: Number of teams processed (integer)
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  - alert_count: Number of alerts processed (integer)
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  - snapshot_count: Number of snapshots processed (integer)
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  - annotation_count: Number of annotations processed (integer)
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  - library_element_count: Number of library elements processed (integer)
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  - archive_size_bytes: Size of created archive in bytes (integer)
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  - total_files: Total number of files created (integer)
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  - error_count: Number of errors encountered (integer)
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  - api_calls: Number of Grafana API calls made (integer)
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  - avg_api_response_time: Average API response time in milliseconds (float)
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```
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### Example InfluxDB Query
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Query backup operation metrics:
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```sql
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-- Get recent backup operations
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SELECT * FROM grafana_backup 
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WHERE time > now() - 24h 
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AND operation_type = 'backup'
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-- Calculate average backup duration by component set
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SELECT MEAN(duration) as avg_duration
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FROM grafana_backup 
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WHERE time > now() - 7d 
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AND operation_type = 'backup'
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GROUP BY components
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-- Monitor backup success rate
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SELECT COUNT(*) as total_operations,
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       SUM(CASE WHEN operation_status = 'success' THEN 1 ELSE 0 END) as successful_operations
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FROM grafana_backup 
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WHERE time > now() - 30d
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```
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## Monitoring Dashboards
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### Grafana Dashboard Integration
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Create Grafana dashboards to visualize backup metrics:
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#### Backup Operation Overview
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- **Success rate**: Percentage of successful backup operations
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- **Operation frequency**: Number of backups per day/week
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- **Duration trends**: Backup duration over time
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- **Component breakdown**: Items backed up by component type
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#### Performance Monitoring
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- **API performance**: Grafana API response times
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- **Throughput metrics**: Data processing rates
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- **Resource utilization**: System resource usage during backups
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- **Error tracking**: Error counts and types over time
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#### Operational Health
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- **Last successful backup**: Time since last successful backup
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- **Backup size trends**: Archive size growth over time
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- **Component changes**: Changes in component counts over time
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- **Cloud upload status**: Success rate of cloud storage uploads
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### Alerting Integration
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Set up alerts based on backup metrics:
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```sql
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-- Alert on backup failures
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SELECT COUNT(*) FROM grafana_backup 
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WHERE time > now() - 6h 
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AND operation_status != 'success'
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-- Alert on backup duration anomalies
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SELECT duration FROM grafana_backup 
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WHERE time > now() - 1h 
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AND duration > (SELECT MEAN(duration) * 2 FROM grafana_backup WHERE time > now() - 7d)
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-- Alert on missing backups
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SELECT COUNT(*) FROM grafana_backup 
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WHERE time > now() - 25h 
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AND operation_type = 'backup'
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HAVING COUNT(*) = 0
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```
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## Integration Benefits
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### Operational Visibility
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InfluxDB integration provides comprehensive operational visibility:
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- **Backup health monitoring**: Track backup success rates and identify issues
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- **Performance optimization**: Identify bottlenecks and optimize backup processes
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- **Capacity planning**: Monitor backup size growth and resource requirements
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- **Compliance reporting**: Generate reports on backup frequency and success
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### Automation and Alerting
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Enable automated monitoring and alerting:
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- **Proactive issue detection**: Alert on backup failures before they become critical
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- **Performance regression detection**: Identify performance degradation trends
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- **Capacity alerts**: Warning when backup sizes or durations exceed thresholds
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- **Compliance monitoring**: Ensure backup schedules meet organizational requirements
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## Best Practices
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### Monitoring Configuration
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- **Dedicated database**: Use a dedicated InfluxDB database for backup metrics
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- **Retention policies**: Configure appropriate data retention for metrics
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- **Security**: Use dedicated monitoring credentials with minimal required permissions
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- **Network security**: Secure InfluxDB communication with TLS when possible
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### Dashboard Design
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- **Key metrics focus**: Prioritize the most important operational metrics
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- **Time range selection**: Provide multiple time range options for analysis
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- **Drill-down capability**: Enable detailed investigation of issues
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- **Alert integration**: Link dashboards to alerting systems
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### Alerting Strategy
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- **Threshold tuning**: Set appropriate alert thresholds based on historical data
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- **Alert fatigue prevention**: Avoid overly sensitive alerts that create noise
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- **Escalation procedures**: Define clear escalation paths for different alert types
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- **Documentation**: Maintain runbooks for common alert scenarios
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The monitoring integration provides essential operational visibility for production backup operations, enabling proactive management and continuous improvement of backup processes.