Backup & Disaster Recovery Guide

Comprehensive backup automation and disaster recovery procedures

RTO: 2 hours (Recovery Time Objective) RPO: 24 hours (Recovery Point Objective - daily backups) Backup Storage: Hetzner Object Storage (S3-compatible)

Backup Strategy
Automated Backup System
Restore Procedures
Disaster Recovery Scenarios
Testing & Validation
Backup Monitoring

Backup Strategy

Backup Scope

What Gets Backed Up:

Components Backed Up:

PostgreSQL Database: Daily (3 AM), 7 days/4 weeks/12 months retention, Hetzner Object Storage (~500MB compressed)
Redis Data: Hourly (RDB) + AOF, 7 days retention, Local disk + S3 daily (~100MB)
Environment Variables: On change, Indefinite (Git), Private Git repo (<1MB)
Dokploy Configuration: Weekly, 4 weeks retention, Hetzner Object Storage (~10MB)
SSL Certificates: Weekly, 4 weeks retention, Hetzner Object Storage (<1MB)
Application Code: On commit, Indefinite, GitHub (N/A source control)
User Uploads: Daily, 30 days, Vercel Blob (already backed up, Variable size)

What Does NOT Get Backed Up:

Docker images (rebuilt from source)
Node modules (rebuilt from package.json)
Temporary files and caches
System packages (reinstalled from OS)

Backup Retention Policy

Grandfather-Father-Son Strategy:

Daily Backups (Son):
  Frequency: Every day at 3 AM UTC
  Retention: 7 days
  Location: s3://ripplecore-backups/postgres/daily/

Weekly Backups (Father):
  Frequency: Every Sunday at 3 AM UTC
  Retention: 4 weeks
  Location: s3://ripplecore-backups/postgres/weekly/

Monthly Backups (Grandfather):
  Frequency: 1st of month at 3 AM UTC
  Retention: 12 months
  Location: s3://ripplecore-backups/postgres/monthly/

Storage Cost Estimate:

Daily: 500MB × 7 = 3.5GB
Weekly: 500MB × 4 = 2GB
Monthly: 500MB × 12 = 6GB
Total: ~12GB × €0.005/GB = €0.06/month

Recovery Objectives

RTO (Recovery Time Objective): 2 hours

Time from disaster to full service restoration
Breakdown:
- Provision new server: 15 minutes
- Install software: 30 minutes
- Restore database: 30 minutes
- Deploy applications: 30 minutes
- DNS propagation: 15 minutes

RPO (Recovery Point Objective): 24 hours

Maximum acceptable data loss
Daily backups at 3 AM = worst case 24 hours of data loss
Can be reduced to 1 hour with hourly backups (additional cost)

Service Level Agreement:

Uptime Target: 99.5% (3.6 hours downtime/month acceptable)
Data Durability: 99.999999999% (11 nines - Hetzner Object Storage)
Backup Success Rate: 100% (validated weekly)

Automated Backup System

Hetzner Object Storage Setup

Step 1: Create Object Storage Bucket

Via Hetzner Cloud Console:

Navigate to: Cloud → Object Storage → Create Bucket

Bucket Name: ripplecore-backups
Region: eu-central (Falkenstein)
Versioning: Enabled (retain 3 versions)
Lifecycle Rules:
  - Delete daily backups older than 7 days
  - Delete weekly backups older than 28 days
  - Delete monthly backups older than 365 days

Step 2: Generate Access Keys

Object Storage → Credentials → Generate New Key

Key Name: db-backup-production
Permissions: Read/Write
Buckets: ripplecore-backups

# Save credentials securely
Access Key: S3RVER1234567890
Secret Key: <long-secret-string>

Step 3: Install s5cmd (Fast S3 Client)

On database server:

# Download s5cmd (faster than aws-cli)
curl -L https://github.com/peak/s5cmd/releases/download/v2.2.2/s5cmd_2.2.2_Linux-64bit.tar.gz \
  | tar xz -C /usr/local/bin

# Verify installation
s5cmd version

# Configure credentials
mkdir -p ~/.aws
cat > ~/.aws/credentials <<EOF
[default]
aws_access_key_id = YOUR_ACCESS_KEY
aws_secret_access_key = YOUR_SECRET_KEY
EOF

cat > ~/.aws/config <<EOF
[default]
region = eu-central
endpoint_url = https://fsn1.your-objectstorage.com
EOF

PostgreSQL Backup Automation

Backup Script: /root/scripts/backup-db.sh

See scripts/backup-db.sh for complete implementation.

Features:

PostgreSQL full dump (pg_dump with custom format)
Gzip compression (~70% size reduction)
Upload to Hetzner Object Storage (S3)
Grandfather-Father-Son retention
Backup verification (checksum)
Slack notification on success/failure
Automatic cleanup of old backups

Schedule (crontab):

# Edit root crontab on database server
crontab -e

# Daily backup at 3 AM UTC
0 3 * * * /root/scripts/backup-db.sh >> /var/log/backup.log 2>&1

# Weekly restore test (Sundays at 4 AM)
0 4 * * 0 /root/scripts/test-restore.sh >> /var/log/backup.log 2>&1

Redis Backup Strategy

Persistence Configuration:

File: /etc/redis/redis.conf (or Docker volume mount)

# RDB Snapshots (point-in-time backups)
save 900 1      # Save if 1 key changed in 15 minutes
save 300 10     # Save if 10 keys changed in 5 minutes
save 60 10000   # Save if 10,000 keys changed in 1 minute

# RDB file location
dir /data/redis
dbfilename dump.rdb

# Enable compression
rdbcompression yes
rdbchecksum yes

# AOF (Append-Only File) for durability
appendonly yes
appendfilename "appendonly.aof"
appendfsync everysec  # Sync to disk every second

# AOF rewrite (compact log file)
auto-aof-rewrite-percentage 100
auto-aof-rewrite-min-size 64mb

Redis Backup Script: /root/scripts/backup-redis.sh

#!/bin/bash
set -e

BACKUP_DIR="/backups/redis"
S3_BUCKET="s3://ripplecore-backups/redis"
DATE=$(date +%Y%m%d_%H%M%S)

mkdir -p $BACKUP_DIR

# Trigger Redis background save
docker exec ripplecore-redis redis-cli BGSAVE

# Wait for save to complete
while [ $(docker exec ripplecore-redis redis-cli LASTSAVE) -eq $(docker exec ripplecore-redis redis-cli LASTSAVE) ]; do
  sleep 1
done

# Copy RDB file
docker cp ripplecore-redis:/data/dump.rdb $BACKUP_DIR/redis_$DATE.rdb

# Compress
gzip $BACKUP_DIR/redis_$DATE.rdb

# Upload to S3
s5cmd cp $BACKUP_DIR/redis_$DATE.rdb.gz $S3_BUCKET/

# Cleanup old local backups (keep last 7 days)
find $BACKUP_DIR -name "*.rdb.gz" -mtime +7 -delete

echo "Redis backup complete: redis_$DATE.rdb.gz"

Schedule:

# Daily Redis backup at 3:30 AM (after PostgreSQL)
30 3 * * * /root/scripts/backup-redis.sh >> /var/log/backup.log 2>&1

Configuration Backup

Dokploy Configuration Export:

#!/bin/bash
# /root/scripts/backup-dokploy.sh

BACKUP_DIR="/backups/dokploy"
S3_BUCKET="s3://ripplecore-backups/config"
DATE=$(date +%Y%m%d_%H%M%S)

mkdir -p $BACKUP_DIR

# Export Dokploy database (SQLite)
docker exec dokploy-db sqlite3 /app/data/dokploy.db ".backup /tmp/dokploy_$DATE.db"
docker cp dokploy-db:/tmp/dokploy_$DATE.db $BACKUP_DIR/

# Backup Traefik configuration
docker cp dokploy-traefik:/etc/traefik $BACKUP_DIR/traefik_$DATE/

# Backup SSL certificates
docker cp dokploy-traefik:/letsencrypt $BACKUP_DIR/letsencrypt_$DATE/

# Compress everything
tar czf $BACKUP_DIR/dokploy_config_$DATE.tar.gz \
  $BACKUP_DIR/dokploy_$DATE.db \
  $BACKUP_DIR/traefik_$DATE/ \
  $BACKUP_DIR/letsencrypt_$DATE/

# Upload to S3
s5cmd cp $BACKUP_DIR/dokploy_config_$DATE.tar.gz $S3_BUCKET/

# Cleanup
rm -rf $BACKUP_DIR/dokploy_$DATE.db $BACKUP_DIR/traefik_$DATE/ $BACKUP_DIR/letsencrypt_$DATE/
find $BACKUP_DIR -name "*.tar.gz" -mtime +28 -delete

echo "Dokploy configuration backup complete"

Schedule:

# Weekly on Sundays at 5 AM
0 5 * * 0 /root/scripts/backup-dokploy.sh >> /var/log/backup.log 2>&1

Restore Procedures

PostgreSQL Database Restore

Scenario: Restore production database from backup

Prerequisites:

Database server is running
Backup file is available in S3 or local storage
No active connections to database (stop apps first)

Procedure:

# 1. List available backups
s5cmd ls s3://ripplecore-backups/postgres/daily/

# 2. Download desired backup
BACKUP_FILE="db_20250123_030000.dump.gz"
s5cmd cp s3://ripplecore-backups/postgres/daily/$BACKUP_FILE /tmp/

# 3. Decompress
gunzip /tmp/$BACKUP_FILE
# Result: /tmp/db_20250123_030000.dump

# 4. Stop applications (prevent writes during restore)
docker stop ripplecore-app ripplecore-api ripplecore-web

# 5. Drop existing database (DESTRUCTIVE - confirm first)
docker exec ripplecore-postgres psql -U ripplecore -c "DROP DATABASE ripplecore;"

# 6. Create fresh database
docker exec ripplecore-postgres psql -U ripplecore -c "CREATE DATABASE ripplecore;"

# 7. Restore from backup
docker exec -i ripplecore-postgres pg_restore \
  -U ripplecore \
  -d ripplecore \
  --verbose \
  --clean \
  --if-exists \
  < /tmp/db_20250123_030000.dump

# 8. Verify restoration
docker exec ripplecore-postgres psql -U ripplecore -d ripplecore -c "\dt"
docker exec ripplecore-postgres psql -U ripplecore -d ripplecore -c "SELECT COUNT(*) FROM users;"

# 9. Restart applications
docker start ripplecore-app ripplecore-api ripplecore-web

# 10. Verify applications are healthy
curl https://app.your-domain.com/api/health

# 11. Cleanup
rm -f /tmp/db_20250123_030000.dump

Estimated Time: 20-30 minutes (depending on database size)

Redis Data Restore

Scenario: Restore Redis cache/sessions from backup

# 1. Download Redis backup
s5cmd cp s3://ripplecore-backups/redis/redis_20250123_033000.rdb.gz /tmp/

# 2. Decompress
gunzip /tmp/redis_20250123_033000.rdb.gz

# 3. Stop Redis container
docker stop ripplecore-redis

# 4. Replace RDB file
docker cp /tmp/redis_20250123_033000.rdb ripplecore-redis:/data/dump.rdb

# 5. Start Redis
docker start ripplecore-redis

# 6. Verify data restored
docker exec ripplecore-redis redis-cli DBSIZE
docker exec ripplecore-redis redis-cli INFO keyspace

# 7. Cleanup
rm -f /tmp/redis_20250123_033000.rdb

Note: Redis restores are non-destructive to applications since Redis is a cache. Sessions will be recreated on next user login.

Selective Table Restore

Scenario: Restore only specific table from backup (e.g., accidentally deleted data)

# 1. Download and decompress backup
s5cmd cp s3://ripplecore-backups/postgres/daily/db_20250123_030000.dump.gz /tmp/
gunzip /tmp/db_20250123_030000.dump.gz

# 2. Restore to temporary database
docker exec ripplecore-postgres psql -U ripplecore -c "CREATE DATABASE ripplecore_temp;"
docker exec -i ripplecore-postgres pg_restore \
  -U ripplecore \
  -d ripplecore_temp \
  < /tmp/db_20250123_030000.dump

# 3. Extract specific table data
docker exec ripplecore-postgres psql -U ripplecore -d ripplecore_temp -c "\COPY kindness TO '/tmp/kindness_restore.csv' CSV HEADER"

# 4. Import to production database
docker exec ripplecore-postgres psql -U ripplecore -d ripplecore -c "\COPY kindness FROM '/tmp/kindness_restore.csv' CSV HEADER"

# 5. Verify restoration
docker exec ripplecore-postgres psql -U ripplecore -d ripplecore -c "SELECT COUNT(*) FROM kindness;"

# 6. Cleanup temporary database
docker exec ripplecore-postgres psql -U ripplecore -c "DROP DATABASE ripplecore_temp;"
rm -f /tmp/db_20250123_030000.dump /tmp/kindness_restore.csv

Disaster Recovery Scenarios

Scenario 1: Database Corruption

Detection:

PostgreSQL errors in logs: corrupted page detected
Application errors: relation does not exist
Backup validation failures

Response (RTO: 1 hour):

# 1. Immediately stop applications (prevent further corruption)
docker stop ripplecore-app ripplecore-api ripplecore-web

# 2. Assess corruption extent
docker exec ripplecore-postgres pg_dumpall --schema-only > /tmp/schema_check.sql

# 3. If corruption is severe, restore from latest backup
# Follow "PostgreSQL Database Restore" procedure above

# 4. If corruption is minor, attempt repair
docker exec ripplecore-postgres psql -U ripplecore -d ripplecore -c "REINDEX DATABASE ripplecore;"

# 5. Verify database integrity
docker exec ripplecore-postgres psql -U ripplecore -d ripplecore -c "SELECT * FROM pg_stat_database WHERE datname='ripplecore';"

# 6. Restart applications
docker start ripplecore-app ripplecore-api ripplecore-web

# 7. Monitor for errors
docker logs ripplecore-app --follow | grep ERROR

Prevention:

Enable PostgreSQL checksums (detect corruption early)
Regular backup validation (weekly automated tests)
Monitor disk health (SMART monitoring)

Scenario 2: Complete Server Failure

Detection:

Server unreachable via SSH
Hetzner Cloud Console shows server offline
All applications down simultaneously

Response (RTO: 2 hours):

Step 1: Provision New Server (15 minutes)

# Via Hetzner Cloud Console
# 1. Create new server (same specs: CPX32 for app, CPX22 for DB)
# 2. Use same SSH key
# 3. Assign to same private network (10.0.1.0/24)
# 4. Reassign floating IP to new server (instant failover)

Step 2: Install Base Software (30 minutes)

# SSH into new server
ssh root@new-server-ip

# Install Docker
curl -fsSL https://get.docker.com | sh

# Install Dokploy (if replacing CI/CD server)
curl -sSL https://dokploy.com/install.sh | sh

# Install monitoring
bash <(curl -Ss https://my-netdata.io/kickstart.sh)

Step 3: Restore Database (30 minutes)

# Start PostgreSQL container
docker run -d \
  --name ripplecore-postgres \
  -e POSTGRES_USER=ripplecore \
  -e POSTGRES_PASSWORD=<secret> \
  -p 5432:5432 \
  -v postgres-data:/var/lib/postgresql/data \
  postgres:18-alpine

# Restore from backup (follow procedure above)
s5cmd cp s3://ripplecore-backups/postgres/daily/db_latest.dump.gz /tmp/
gunzip /tmp/db_latest.dump.gz
docker exec -i ripplecore-postgres pg_restore -U ripplecore -d ripplecore < /tmp/db_latest.dump

Step 4: Deploy Applications (30 minutes)

# Deploy via Dokploy (if configured) or manual Docker
# Follow deployment instructions in DEPLOYMENT.md

# Verify health
curl https://app.your-domain.com/api/health

Step 5: DNS Update (if not using floating IP)

# Update DNS A records to point to new server IP
# Propagation time: 5-60 minutes depending on TTL

Scenario 3: Accidental Data Deletion

Detection:

User reports missing data
Database shows unexpected DELETE operations in logs

Response (RTO: 30 minutes):

# 1. Identify deletion timestamp
# Ask user: "When did you last see the data?"
DELETION_TIME="2025-01-23 14:30:00"

# 2. Find backup before deletion
# List backups before that time
s5cmd ls s3://ripplecore-backups/postgres/daily/ | grep "20250123"

# 3. Download backup before deletion
s5cmd cp s3://ripplecore-backups/postgres/daily/db_20250123_030000.dump.gz /tmp/

# 4. Restore to temporary database (follow "Selective Table Restore" above)

# 5. Extract deleted records
docker exec ripplecore-postgres psql -U ripplecore -d ripplecore_temp \
  -c "SELECT * FROM kindness WHERE created_at < '$DELETION_TIME' AND id NOT IN (SELECT id FROM ripplecore.kindness);" \
  > /tmp/deleted_records.csv

# 6. Import recovered records
docker exec -i ripplecore-postgres psql -U ripplecore -d ripplecore \
  < /tmp/deleted_records.csv

# 7. Verify with user
# "Please check if your data is restored"

Prevention:

Implement soft deletes (mark as deleted instead of DROP)
Database triggers for audit logging
Point-in-time recovery (requires WAL archiving - see Advanced section)

Scenario 4: Ransomware Attack

Detection:

Files encrypted with unusual extensions
Ransom note in file system
Database access errors

Response (RTO: 3 hours):

DO NOT PAY RANSOM

# 1. Immediately isolate infected server
# Hetzner Console → Server → Network → Disable all interfaces

# 2. Provision completely new infrastructure
# Fresh servers, new IP addresses

# 3. Restore from OFFLINE backups (S3 versioned backups)
# Verify backups were NOT accessed by attacker
s5cmd ls s3://ripplecore-backups/ --show-versions

# 4. Restore to new infrastructure
# Follow "Complete Server Failure" procedure

# 5. Audit attack vector
# Review SSH logs, application logs
# Implement additional security (fail2ban, 2FA for SSH)

# 6. Report to authorities and customers (if PII compromised - GDPR)

Prevention:

Immutable backups (S3 Object Lock)
Network segmentation (private database network)
Regular security updates
fail2ban for brute-force protection

Testing & Validation

Weekly Automated Restore Test

Script: /root/scripts/test-restore.sh

See scripts/test-restore.sh for complete implementation.

Purpose:

Verify backups are restorable (not corrupted)
Validate backup automation is working
Practice disaster recovery procedures
Meet compliance requirements

Features:

Download latest backup from S3
Restore to temporary database
Run data integrity checks
Compare record counts with production
Send Slack notification with results
Cleanup temporary resources

Success Criteria:

Backup file downloads successfully
Restore completes without errors
Record counts match production (within 24h delta)
All critical tables present

Schedule:

# Every Sunday at 4 AM (after weekly backup)
0 4 * * 0 /root/scripts/test-restore.sh >> /var/log/backup.log 2>&1

Manual DR Drill (Quarterly)

Purpose: Practice complete disaster recovery

Procedure (2-3 hour exercise):

Simulate Disaster (10 minutes)
- Pretend production server is completely destroyed
- Document start time
Execute DR Plan (2 hours)
- Provision new server
- Restore from backups
- Deploy applications
- Verify functionality
Measure Actual RTO (5 minutes)
- Document end time
- Calculate actual recovery time
- Compare to 2-hour RTO objective
Document Lessons Learned (30 minutes)
- What went well?
- What took longer than expected?
- Update DR procedures accordingly
Update Runbooks (15 minutes)
- Incorporate improvements
- Update time estimates
- Add missing steps

Next Drill: Schedule 3 months from now

Backup Monitoring

Backup Success Verification

Daily Health Check:

#!/bin/bash
# /root/scripts/verify-backups.sh
# Run daily at 6 AM (3 hours after backup)

DATE=$(date +%Y%m%d)

# Check if today's backup exists in S3
if s5cmd ls s3://ripplecore-backups/postgres/daily/ | grep -q "db_${DATE}"; then
  echo "✅ Today's backup exists: db_${DATE}"
else
  echo "❌ Today's backup missing: db_${DATE}"
  curl -X POST $SLACK_WEBHOOK_URL \
    -H 'Content-Type: application/json' \
    -d "{\"text\":\"🚨 Database backup failed for $DATE\"}"
  exit 1
fi

# Verify backup size is reasonable (>100MB compressed)
BACKUP_SIZE=$(s5cmd ls s3://ripplecore-backups/postgres/daily/db_${DATE}_*.dump.gz | awk '{print $3}')
if [ $BACKUP_SIZE -gt 100000000 ]; then
  echo "✅ Backup size is healthy: $BACKUP_SIZE bytes"
else
  echo "⚠️ Backup size is suspiciously small: $BACKUP_SIZE bytes"
  curl -X POST $SLACK_WEBHOOK_URL \
    -H 'Content-Type: application/json' \
    -d "{\"text\":\"⚠️ Database backup for $DATE is smaller than expected: $BACKUP_SIZE bytes\"}"
fi

Schedule:

0 6 * * * /root/scripts/verify-backups.sh >> /var/log/backup.log 2>&1

Slack Notifications

Backup Success:

{
  "text": "✅ Database Backup Successful",
  "blocks": [
    {
      "type": "section",
      "text": {
        "type": "mrkdwn",
        "text": "*Database Backup Completed*"
      }
    },
    {
      "type": "section",
      "fields": [
        {
          "type": "mrkdwn",
          "text": "*Date:*\n2025-01-23 03:00 UTC"
        },
        {
          "type": "mrkdwn",
          "text": "*Size:*\n456 MB (compressed)"
        },
        {
          "type": "mrkdwn",
          "text": "*Location:*\ns3://ripplecore-backups/postgres/daily/"
        },
        {
          "type": "mrkdwn",
          "text": "*Status:*\n✅ Success"
        }
      ]
    }
  ]
}

Backup Failure:

{
  "text": "🚨 Database Backup Failed",
  "blocks": [
    {
      "type": "section",
      "text": {
        "type": "mrkdwn",
        "text": "*Database Backup FAILED* 🚨"
      }
    },
    {
      "type": "section",
      "fields": [
        {
          "type": "mrkdwn",
          "text": "*Date:*\n2025-01-23 03:00 UTC"
        },
        {
          "type": "mrkdwn",
          "text": "*Error:*\nConnection to database failed"
        },
        {
          "type": "mrkdwn",
          "text": "*Action Required:*\nInvestigate immediately"
        }
      ]
    }
  ]
}

Backup Dashboard (Optional - Grafana)

Metrics to Track:

Backup success rate (target: 100%)
Backup duration (trend over time)
Backup size growth (capacity planning)
Last successful backup timestamp
Restore test success rate

Grafana Panel Queries (if using Prometheus):

# Backup success rate (last 7 days)
rate(backup_success_total[7d]) / rate(backup_attempts_total[7d]) * 100

# Time since last successful backup
time() - backup_last_success_timestamp

# Backup size growth (30-day trend)
increase(backup_size_bytes[30d])

Advanced Topics

Point-in-Time Recovery (PITR)

Use Case: Restore database to exact moment before corruption/deletion

Requirements:

PostgreSQL WAL (Write-Ahead Logging) archiving
Continuous archiving to S3
Base backup + WAL files

Setup (add to future roadmap):

-- Enable WAL archiving in PostgreSQL
ALTER SYSTEM SET wal_level = replica;
ALTER SYSTEM SET archive_mode = on;
ALTER SYSTEM SET archive_command = 's5cmd cp %p s3://ripplecore-backups/postgres/wal/%f';

-- Restart PostgreSQL
SELECT pg_reload_conf();

Recovery Command:

# Restore to specific point in time
pg_restore --target-time='2025-01-23 14:29:00' ...

Cost: ~€5-10/month for WAL storage (recommend only for production)

Encrypted Backups

Use Case: Comply with GDPR/regulations for sensitive data

Implementation:

# Encrypt backup before upload
gpg --symmetric --cipher-algo AES256 /tmp/db_backup.dump
s5cmd cp /tmp/db_backup.dump.gpg s3://ripplecore-backups/postgres/daily/

# Decrypt during restore
s5cmd cp s3://ripplecore-backups/postgres/daily/db_backup.dump.gpg /tmp/
gpg --decrypt /tmp/db_backup.dump.gpg > /tmp/db_backup.dump

Key Management: Store GPG passphrase in 1Password/Bitwarden

Infrastructure Overview: See ARCHITECTURE.md
CI/CD Pipeline: See CI_CD_PIPELINE.md
Monitoring Setup: See MONITORING.md
Disaster Recovery Runbook: See ../runbooks/disaster-recovery.mdx

Document Version: 1.0 Last Updated: 2025-01-23 Review Cycle: After each DR drill or incident

Backup & Disaster Recovery

Backup & Disaster Recovery Guide

Table of Contents

Backup Strategy

Backup Scope

Backup Retention Policy

Recovery Objectives

Automated Backup System

Hetzner Object Storage Setup

PostgreSQL Backup Automation

Redis Backup Strategy

Configuration Backup

Restore Procedures

PostgreSQL Database Restore

Redis Data Restore

Selective Table Restore

Disaster Recovery Scenarios

Scenario 1: Database Corruption

Scenario 2: Complete Server Failure

Scenario 3: Accidental Data Deletion

Scenario 4: Ransomware Attack

Testing & Validation

Weekly Automated Restore Test

Manual DR Drill (Quarterly)

Backup Monitoring

Backup Success Verification

Slack Notifications

Backup Dashboard (Optional - Grafana)

Advanced Topics

Point-in-Time Recovery (PITR)

Encrypted Backups

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