Backup and Disaster Recovery¶

This guide covers backup and disaster recovery strategies for RAG Modulo deployment on IBM Cloud, ensuring data protection and business continuity.

Overview¶

The backup and disaster recovery strategy provides:

Data Protection: Automated backups of all critical data
Business Continuity: Rapid recovery from disasters
Compliance: Meet regulatory requirements for data retention
Testing: Regular validation of backup and recovery procedures
Documentation: Clear procedures for disaster response

Architecture¶

graph TB
    subgraph "Production Environment"
        PG[PostgreSQL]
        OS[Object Storage]
        ZL[Zilliz Cloud]
        ES[Event Streams]
        BE[Backend App]
        FE[Frontend App]
    end

    subgraph "Backup Services"
        PG_BK[PostgreSQL Backups]
        OS_BK[Object Storage Backups]
        ZL_BK[Zilliz Cloud Backups]
        ES_BK[Event Streams Backups]
    end

    subgraph "Disaster Recovery"
        DR_REGION[DR Region]
        DR_PG[DR PostgreSQL]
        DR_OS[DR Object Storage]
        DR_ZL[DR Zilliz Cloud]
        DR_ES[DR Event Streams]
        DR_APPS[DR Applications]
    end

    subgraph "Backup Storage"
        COS[Cloud Object Storage]
        CR[Container Registry]
        SECRETS[Secrets Manager]
    end

    PG --> PG_BK
    OS --> OS_BK
    ZL --> ZL_BK
    ES --> ES_BK

    PG_BK --> COS
    OS_BK --> COS
    ZL_BK --> COS
    ES_BK --> COS

    COS --> DR_REGION
    CR --> DR_REGION
    SECRETS --> DR_REGION

    DR_REGION --> DR_PG
    DR_REGION --> DR_OS
    DR_REGION --> DR_ZL
    DR_REGION --> DR_ES
    DR_REGION --> DR_APPS

Backup Strategy¶

1. PostgreSQL Database Backups¶

Automated Backups¶

# PostgreSQL backup configuration
postgresql_backup:
  enabled: true
  service: "ibm-cloud-databases-for-postgresql"
  plan: "standard"

  # Backup settings
  backup_settings:
    frequency: "daily"
    retention_days: 30
    point_in_time_recovery: true
    cross_region_replication: true

  # Backup schedule
  schedule:
    time: "02:00"
    timezone: "UTC"
    days: ["monday", "tuesday", "wednesday", "thursday", "friday", "saturday", "sunday"]

  # Backup storage
  storage:
    location: "us-south"
    bucket: "rag-modulo-postgresql-backups"
    encryption: "AES256"
    compression: true

Manual Backup Script¶

#!/bin/bash
# PostgreSQL backup script

set -e

# Configuration
BACKUP_DIR="/backups/postgresql"
DATE=$(date +%Y%m%d_%H%M%S)
BACKUP_FILE="postgresql_backup_${DATE}.sql"
S3_BUCKET="rag-modulo-postgresql-backups"
S3_PREFIX="postgresql/"

# Create backup directory
mkdir -p "$BACKUP_DIR"

# Create database backup
echo "Creating PostgreSQL backup..."
pg_dump "$DATABASE_URL" > "$BACKUP_DIR/$BACKUP_FILE"

# Compress backup
echo "Compressing backup..."
gzip "$BACKUP_DIR/$BACKUP_FILE"
BACKUP_FILE="${BACKUP_FILE}.gz"

# Upload to S3
echo "Uploading backup to S3..."
aws s3 cp "$BACKUP_DIR/$BACKUP_FILE" "s3://$S3_BUCKET/$S3_PREFIX$BACKUP_FILE"

# Verify upload
echo "Verifying backup upload..."
aws s3 ls "s3://$S3_BUCKET/$S3_PREFIX$BACKUP_FILE"

# Clean up local backup
echo "Cleaning up local backup..."
rm "$BACKUP_DIR/$BACKUP_FILE"

echo "Backup completed successfully: $BACKUP_FILE"

2. Object Storage Backups¶

Cross-Region Replication¶

# Object Storage backup configuration
object_storage_backup:
  enabled: true
  service: "ibm-cloud-object-storage"

  # Replication settings
  replication:
    enabled: true
    source_region: "us-south"
    target_region: "us-east"
    target_bucket: "rag-modulo-backups-us-east"

  # Lifecycle policies
  lifecycle_policies:
    - name: "standard_to_ia"
      rule_id: "standard_to_ia"
      status: "Enabled"
      transitions:
        - days: 30
          storage_class: "STANDARD_IA"
    - name: "ia_to_glacier"
      rule_id: "ia_to_glacier"
      status: "Enabled"
      transitions:
        - days: 90
          storage_class: "GLACIER"
    - name: "glacier_to_deep_archive"
      rule_id: "glacier_to_deep_archive"
      status: "Enabled"
      transitions:
        - days: 365
          storage_class: "DEEP_ARCHIVE"

Backup Script¶

#!/bin/bash
# Object Storage backup script

set -e

# Configuration
SOURCE_BUCKET="rag-modulo-app-data"
BACKUP_BUCKET="rag-modulo-backups"
DATE=$(date +%Y%m%d_%H%M%S)
BACKUP_PREFIX="object-storage-backup-$DATE/"

# Create backup
echo "Creating Object Storage backup..."
aws s3 sync "s3://$SOURCE_BUCKET" "s3://$BACKUP_BUCKET/$BACKUP_PREFIX" \
  --storage-class STANDARD_IA \
  --metadata "backup-date=$DATE,backup-type=object-storage"

# Verify backup
echo "Verifying backup..."
aws s3 ls "s3://$BACKUP_BUCKET/$BACKUP_PREFIX" --recursive | wc -l

echo "Object Storage backup completed successfully"

3. Vector Database Backups¶

Zilliz Cloud Backups¶

# Zilliz Cloud backup configuration
zilliz_backup:
  enabled: true
  service: "zilliz-cloud"

  # Backup settings
  backup_settings:
    frequency: "daily"
    retention_days: 30
    cross_region_replication: true

  # Backup collections
  collections:
    - name: "documents"
      backup_enabled: true
    - name: "embeddings"
      backup_enabled: true
    - name: "metadata"
      backup_enabled: true

  # Backup storage
  storage:
    location: "us-south"
    bucket: "rag-modulo-zilliz-backups"
    encryption: "AES256"

Backup Script¶

#!/usr/bin/env python3
# Zilliz Cloud backup script

import os
import json
import boto3
from datetime import datetime
from zilliz import MilvusClient

def backup_zilliz_collections():
    """Backup Zilliz Cloud collections"""

    # Configuration
    zilliz_endpoint = os.getenv('MILVUS_HOST')
    zilliz_api_key = os.getenv('MILVUS_API_KEY')
    s3_bucket = os.getenv('BACKUP_BUCKET', 'rag-modulo-zilliz-backups')
    backup_prefix = f"zilliz-backup-{datetime.now().strftime('%Y%m%d_%H%M%S')}/"

    # Initialize clients
    milvus_client = MilvusClient(uri=zilliz_endpoint, token=zilliz_api_key)
    s3_client = boto3.client('s3')

    # Get all collections
    collections = milvus_client.list_collections()

    for collection_name in collections:
        print(f"Backing up collection: {collection_name}")

        # Export collection data
        export_result = milvus_client.export_collection(
            collection_name=collection_name,
            output_path=f"/tmp/{collection_name}_backup.json"
        )

        # Upload to S3
        s3_key = f"{backup_prefix}{collection_name}_backup.json"
        s3_client.upload_file(
            f"/tmp/{collection_name}_backup.json",
            s3_bucket,
            s3_key,
            ExtraArgs={'ServerSideEncryption': 'AES256'}
        )

        # Clean up local file
        os.remove(f"/tmp/{collection_name}_backup.json")

        print(f"Collection {collection_name} backed up successfully")

    print("Zilliz Cloud backup completed successfully")

if __name__ == "__main__":
    backup_zilliz_collections()

4. Application Configuration Backups¶

Configuration Backup¶

#!/bin/bash
# Application configuration backup script

set -e

# Configuration
BACKUP_DIR="/backups/config"
DATE=$(date +%Y%m%d_%H%M%S)
BACKUP_FILE="config_backup_${DATE}.tar.gz"
S3_BUCKET="rag-modulo-config-backups"

# Create backup directory
mkdir -p "$BACKUP_DIR"

# Backup configuration files
echo "Creating configuration backup..."
tar -czf "$BACKUP_DIR/$BACKUP_FILE" \
  deployment/terraform/ \
  deployment/ansible/ \
  .github/workflows/ \
  docker-compose*.yml \
  env.example

# Upload to S3
echo "Uploading configuration backup to S3..."
aws s3 cp "$BACKUP_DIR/$BACKUP_FILE" "s3://$S3_BUCKET/$BACKUP_FILE"

# Verify upload
echo "Verifying backup upload..."
aws s3 ls "s3://$S3_BUCKET/$BACKUP_FILE"

# Clean up local backup
echo "Cleaning up local backup..."
rm "$BACKUP_DIR/$BACKUP_FILE"

echo "Configuration backup completed successfully: $BACKUP_FILE"

Disaster Recovery¶

1. Recovery Time Objectives (RTO)¶

Component	RTO	RPO
PostgreSQL	60 minutes	15 minutes
Object Storage	30 minutes	5 minutes
Vector Database	90 minutes	30 minutes
Applications	30 minutes	0 minutes
Overall System	60 minutes	15 minutes

2. Recovery Procedures¶

PostgreSQL Recovery¶

#!/bin/bash
# PostgreSQL disaster recovery script

set -e

# Configuration
RESTORE_DATABASE_URL="$1"
BACKUP_FILE="$2"
S3_BUCKET="rag-modulo-postgresql-backups"

if [ -z "$RESTORE_DATABASE_URL" ] || [ -z "$BACKUP_FILE" ]; then
    echo "Usage: $0 <database_url> <backup_file>"
    exit 1
fi

# Download backup from S3
echo "Downloading backup from S3..."
aws s3 cp "s3://$S3_BUCKET/$BACKUP_FILE" "/tmp/$BACKUP_FILE"

# Decompress backup
echo "Decompressing backup..."
gunzip "/tmp/$BACKUP_FILE"
RESTORE_FILE="/tmp/${BACKUP_FILE%.gz}"

# Restore database
echo "Restoring PostgreSQL database..."
psql "$RESTORE_DATABASE_URL" < "$RESTORE_FILE"

# Verify restoration
echo "Verifying database restoration..."
psql "$RESTORE_DATABASE_URL" -c "SELECT COUNT(*) FROM information_schema.tables;"

# Clean up
echo "Cleaning up temporary files..."
rm "/tmp/$RESTORE_FILE"

echo "PostgreSQL recovery completed successfully"

Object Storage Recovery¶

#!/bin/bash
# Object Storage disaster recovery script

set -e

# Configuration
RESTORE_BUCKET="$1"
BACKUP_PREFIX="$2"
S3_BUCKET="rag-modulo-backups"

if [ -z "$RESTORE_BUCKET" ] || [ -z "$BACKUP_PREFIX" ]; then
    echo "Usage: $0 <restore_bucket> <backup_prefix>"
    exit 1
fi

# Restore from backup
echo "Restoring Object Storage from backup..."
aws s3 sync "s3://$S3_BUCKET/$BACKUP_PREFIX" "s3://$RESTORE_BUCKET/"

# Verify restoration
echo "Verifying Object Storage restoration..."
aws s3 ls "s3://$RESTORE_BUCKET/" --recursive | wc -l

echo "Object Storage recovery completed successfully"

Vector Database Recovery¶

#!/usr/bin/env python3
# Zilliz Cloud disaster recovery script

import os
import json
import boto3
from zilliz import MilvusClient

def restore_zilliz_collections(restore_endpoint, restore_api_key, backup_prefix):
    """Restore Zilliz Cloud collections from backup"""

    # Configuration
    s3_bucket = os.getenv('BACKUP_BUCKET', 'rag-modulo-zilliz-backups')

    # Initialize clients
    milvus_client = MilvusClient(uri=restore_endpoint, token=restore_api_key)
    s3_client = boto3.client('s3')

    # List backup files
    response = s3_client.list_objects_v2(
        Bucket=s3_bucket,
        Prefix=backup_prefix
    )

    for obj in response.get('Contents', []):
        collection_name = obj['Key'].split('/')[-1].replace('_backup.json', '')
        print(f"Restoring collection: {collection_name}")

        # Download backup file
        s3_client.download_file(
            s3_bucket,
            obj['Key'],
            f"/tmp/{collection_name}_restore.json"
        )

        # Import collection data
        milvus_client.import_collection(
            collection_name=collection_name,
            data_path=f"/tmp/{collection_name}_restore.json"
        )

        # Clean up local file
        os.remove(f"/tmp/{collection_name}_restore.json")

        print(f"Collection {collection_name} restored successfully")

    print("Zilliz Cloud recovery completed successfully")

if __name__ == "__main__":
    import sys
    if len(sys.argv) != 4:
        print("Usage: python restore_zilliz.py <endpoint> <api_key> <backup_prefix>")
        sys.exit(1)

    restore_zilliz_collections(sys.argv[1], sys.argv[2], sys.argv[3])

3. Full System Recovery¶

Recovery Orchestration¶

# Full system recovery playbook
---
- name: RAG Modulo Disaster Recovery
  hosts: localhost
  gather_facts: false
  vars:
    recovery_region: "{{ recovery_region | default('us-east') }}"
    backup_date: "{{ backup_date | default('latest') }}"
    recovery_environment: "{{ recovery_environment | default('production') }}"

  tasks:
    - name: Validate recovery parameters
      ansible.builtin.assert:
        that:
          - recovery_region is defined
          - backup_date is defined
          - recovery_environment is defined
        fail_msg: "Recovery parameters are not defined"

    - name: Set up recovery environment
      ansible.builtin.shell: |
        ibmcloud target -r "{{ recovery_region }}"
        ibmcloud target -g "{{ resource_group_id }}"
      environment:
        IBMCLOUD_API_KEY: "{{ ibmcloud_api_key }}"

    - name: Provision recovery infrastructure
      ansible.builtin.shell: |
        cd deployment/terraform/environments/ibm
        terraform init
        terraform plan -var-file="recovery.tfvars"
        terraform apply -var-file="recovery.tfvars" -auto-approve
      environment:
        IBMCLOUD_API_KEY: "{{ ibmcloud_api_key }}"

    - name: Restore PostgreSQL database
      ansible.builtin.shell: |
        ./scripts/restore_postgresql.sh "{{ postgresql_url }}" "{{ backup_date }}"

    - name: Restore Object Storage
      ansible.builtin.shell: |
        ./scripts/restore_object_storage.sh "{{ object_storage_bucket }}" "{{ backup_date }}"

    - name: Restore Vector Database
      ansible.builtin.shell: |
        python scripts/restore_zilliz.py "{{ zilliz_endpoint }}" "{{ zilliz_api_key }}" "{{ backup_date }}"

    - name: Deploy applications
      ansible.builtin.shell: |
        ansible-playbook -i inventories/ibm/hosts.yml playbooks/deploy-rag-modulo.yml -e "environment={{ recovery_environment }}"

    - name: Verify recovery
      ansible.builtin.shell: |
        curl -f "https://{{ frontend_url }}/health" || exit 1
        curl -f "https://{{ backend_url }}/health" || exit 1

Testing¶

1. Backup Testing¶

Automated Backup Testing¶

#!/bin/bash
# Automated backup testing script

set -e

# Configuration
TEST_DATABASE_URL="$1"
BACKUP_FILE="$2"
S3_BUCKET="rag-modulo-postgresql-backups"

if [ -z "$TEST_DATABASE_URL" ] || [ -z "$BACKUP_FILE" ]; then
    echo "Usage: $0 <test_database_url> <backup_file>"
    exit 1
fi

# Create test database
echo "Creating test database..."
createdb "$TEST_DATABASE_URL"

# Download and restore backup
echo "Testing backup restoration..."
aws s3 cp "s3://$S3_BUCKET/$BACKUP_FILE" "/tmp/$BACKUP_FILE"
gunzip "/tmp/$BACKUP_FILE"
RESTORE_FILE="/tmp/${BACKUP_FILE%.gz}"

psql "$TEST_DATABASE_URL" < "$RESTORE_FILE"

# Verify backup integrity
echo "Verifying backup integrity..."
TABLE_COUNT=$(psql "$TEST_DATABASE_URL" -t -c "SELECT COUNT(*) FROM information_schema.tables;")
echo "Tables found: $TABLE_COUNT"

if [ "$TABLE_COUNT" -gt 0 ]; then
    echo "✅ Backup test passed"
else
    echo "❌ Backup test failed"
    exit 1
fi

# Clean up
echo "Cleaning up test database..."
dropdb "$TEST_DATABASE_URL"
rm "/tmp/$RESTORE_FILE"

echo "Backup testing completed successfully"

Weekly Backup Testing¶

# Weekly backup testing schedule
backup_testing:
  schedule: "0 3 * * 0"  # Every Sunday at 3 AM
  tests:
    - name: "postgresql_backup_test"
      script: "scripts/test_postgresql_backup.sh"
      timeout: "30m"
    - name: "object_storage_backup_test"
      script: "scripts/test_object_storage_backup.sh"
      timeout: "15m"
    - name: "zilliz_backup_test"
      script: "scripts/test_zilliz_backup.sh"
      timeout: "45m"

2. Disaster Recovery Testing¶

Quarterly DR Drills¶

# Quarterly disaster recovery testing
dr_testing:
  schedule: "0 2 1 */3 *"  # First day of every quarter at 2 AM
  tests:
    - name: "full_system_recovery"
      script: "scripts/test_full_system_recovery.sh"
      timeout: "2h"
    - name: "database_recovery"
      script: "scripts/test_database_recovery.sh"
      timeout: "1h"
    - name: "application_recovery"
      script: "scripts/test_application_recovery.sh"
      timeout: "30m"

DR Test Script¶

#!/bin/bash
# Disaster recovery test script

set -e

# Configuration
TEST_ENVIRONMENT="dr-test"
TEST_REGION="us-east"
BACKUP_DATE="latest"

echo "Starting disaster recovery test..."

# Create test environment
echo "Creating test environment..."
ibmcloud target -r "$TEST_REGION"
ibmcloud target -g "$RESOURCE_GROUP_ID"

# Run recovery playbook
echo "Running disaster recovery playbook..."
ansible-playbook -i inventories/ibm/hosts.yml playbooks/disaster-recovery.yml \
  -e "recovery_region=$TEST_REGION" \
  -e "backup_date=$BACKUP_DATE" \
  -e "recovery_environment=$TEST_ENVIRONMENT"

# Test application functionality
echo "Testing application functionality..."
curl -f "https://$TEST_ENVIRONMENT-frontend.example.com/health" || exit 1
curl -f "https://$TEST_ENVIRONMENT-backend.example.com/health" || exit 1

# Test data integrity
echo "Testing data integrity..."
python scripts/test_data_integrity.py "$TEST_ENVIRONMENT"

# Clean up test environment
echo "Cleaning up test environment..."
ibmcloud ce project delete "$TEST_ENVIRONMENT" --force

echo "✅ Disaster recovery test completed successfully"

Monitoring and Alerting¶

1. Backup Monitoring¶

Backup Status Alerts¶

# Backup monitoring alerts
backup_alerts:
  - name: "backup_failed"
    condition: "backup_status == 'failed'"
    severity: "critical"
    description: "Backup process failed"

  - name: "backup_delayed"
    condition: "backup_delay > 2h"
    severity: "warning"
    description: "Backup is delayed by more than 2 hours"

  - name: "backup_size_anomaly"
    condition: "backup_size < 0.5 * avg_backup_size OR backup_size > 2 * avg_backup_size"
    severity: "warning"
    description: "Backup size is significantly different from average"

Backup Health Checks¶

#!/bin/bash
# Backup health check script

set -e

# Configuration
S3_BUCKET="rag-modulo-postgresql-backups"
EXPECTED_BACKUPS=7  # 7 days of backups

# Check backup count
echo "Checking backup count..."
BACKUP_COUNT=$(aws s3 ls "s3://$S3_BUCKET/" --recursive | wc -l)

if [ "$BACKUP_COUNT" -lt "$EXPECTED_BACKUPS" ]; then
    echo "❌ Insufficient backups found: $BACKUP_COUNT (expected: $EXPECTED_BACKUPS)"
    exit 1
fi

# Check latest backup
echo "Checking latest backup..."
LATEST_BACKUP=$(aws s3 ls "s3://$S3_BUCKET/" --recursive | sort | tail -1 | awk '{print $1, $2}')
echo "Latest backup: $LATEST_BACKUP"

# Check backup age
echo "Checking backup age..."
BACKUP_AGE=$(aws s3 ls "s3://$S3_BUCKET/" --recursive | sort | tail -1 | awk '{print $1, $2}' | xargs -I {} date -d {} +%s)
CURRENT_TIME=$(date +%s)
AGE_HOURS=$(( (CURRENT_TIME - BACKUP_AGE) / 3600 ))

if [ "$AGE_HOURS" -gt 25 ]; then
    echo "❌ Latest backup is too old: $AGE_HOURS hours"
    exit 1
fi

echo "✅ Backup health check passed"

2. Recovery Monitoring¶

Recovery Time Monitoring¶

# Recovery time monitoring
recovery_monitoring:
  - name: "recovery_time_exceeded"
    condition: "recovery_time > 60m"
    severity: "critical"
    description: "Recovery time exceeded RTO of 60 minutes"

  - name: "data_loss_detected"
    condition: "data_loss > 15m"
    severity: "critical"
    description: "Data loss exceeds RPO of 15 minutes"

Documentation¶

1. Recovery Procedures¶

Emergency Contact List¶

# Emergency contact list
emergency_contacts:
  primary:
    - name: "DevOps Team"
      phone: "+1-555-0123"
      email: "devops@company.com"
      slack: "#devops-alerts"

  secondary:
    - name: "Engineering Manager"
      phone: "+1-555-0124"
      email: "eng-manager@company.com"
      slack: "#engineering"

  escalation:
    - name: "CTO"
      phone: "+1-555-0125"
      email: "cto@company.com"
      slack: "#executive"

Recovery Checklist¶

# Disaster Recovery Checklist

## Immediate Response (0-15 minutes)
- [ ] Assess the scope of the disaster
- [ ] Notify emergency contacts
- [ ] Activate incident response team
- [ ] Document initial assessment

## Assessment Phase (15-30 minutes)
- [ ] Identify affected systems
- [ ] Determine root cause
- [ ] Estimate recovery time
- [ ] Communicate status to stakeholders

## Recovery Phase (30-60 minutes)
- [ ] Activate disaster recovery environment
- [ ] Restore database from latest backup
- [ ] Restore object storage data
- [ ] Restore vector database
- [ ] Deploy applications
- [ ] Verify system functionality

## Validation Phase (60-90 minutes)
- [ ] Test critical functionality
- [ ] Verify data integrity
- [ ] Monitor system performance
- [ ] Document recovery process

## Post-Recovery (90+ minutes)
- [ ] Conduct post-incident review
- [ ] Update recovery procedures
- [ ] Communicate resolution to stakeholders
- [ ] Schedule follow-up actions

2. Runbooks¶

Database Recovery Runbook¶

# PostgreSQL Database Recovery Runbook

## Prerequisites
- Access to IBM Cloud console
- Database backup files in S3
- Recovery environment provisioned

## Recovery Steps

### 1. Access Recovery Environment
```bash
ibmcloud target -r us-east
ibmcloud target -g production-resource-group

2. Provision Database¶

cd deployment/terraform/environments/ibm
terraform apply -var-file="recovery.tfvars"

3. Restore Database¶

./scripts/restore_postgresql.sh "$DATABASE_URL" "latest"

4. Verify Restoration¶

psql "$DATABASE_URL" -c "SELECT COUNT(*) FROM information_schema.tables;"

5. Test Connectivity¶

curl -f "https://backend-app.example.com/health"

Troubleshooting¶

If restoration fails, try previous backup
Check database logs for errors
Verify network connectivity
Contact database team if needed

```

Best Practices¶

1. Backup Strategy¶

3-2-1 Rule: 3 copies, 2 different media, 1 off-site
Regular Testing: Test backups weekly
Automation: Automate all backup processes
Monitoring: Monitor backup success/failure

2. Recovery Planning¶

Documentation: Maintain up-to-date procedures
Training: Regular team training on procedures
Testing: Quarterly disaster recovery drills
Communication: Clear communication protocols

3. Data Protection¶

Encryption: Encrypt all backups
Access Control: Limit backup access
Retention: Appropriate retention policies
Compliance: Meet regulatory requirements

4. Continuous Improvement¶

Post-Incident Reviews: Learn from incidents
Procedure Updates: Regular procedure updates
Technology Updates: Stay current with technology
Team Training: Ongoing team education

Backup and Disaster Recovery¶

Overview¶

Architecture¶

Backup Strategy¶

1. PostgreSQL Database Backups¶

Automated Backups¶

Manual Backup Script¶

2. Object Storage Backups¶

Cross-Region Replication¶

Backup Script¶

3. Vector Database Backups¶

Zilliz Cloud Backups¶

Backup Script¶

4. Application Configuration Backups¶

Configuration Backup¶

Disaster Recovery¶

1. Recovery Time Objectives (RTO)¶

2. Recovery Procedures¶

PostgreSQL Recovery¶

Object Storage Recovery¶

Vector Database Recovery¶

3. Full System Recovery¶

Recovery Orchestration¶

Testing¶

1. Backup Testing¶

Automated Backup Testing¶

Weekly Backup Testing¶

2. Disaster Recovery Testing¶

Quarterly DR Drills¶

DR Test Script¶

Monitoring and Alerting¶

1. Backup Monitoring¶

Backup Status Alerts¶

Backup Health Checks¶

2. Recovery Monitoring¶

Recovery Time Monitoring¶

Documentation¶

1. Recovery Procedures¶

Emergency Contact List¶

Recovery Checklist¶

2. Runbooks¶

Database Recovery Runbook¶

2. Provision Database¶

3. Restore Database¶

4. Verify Restoration¶

5. Test Connectivity¶

Troubleshooting¶

Best Practices¶

1. Backup Strategy¶

2. Recovery Planning¶

3. Data Protection¶

4. Continuous Improvement¶

Related Documentation¶