Don't Put All Your Eggs in One Cloud Basket

Your weekly dose of actionable cloud wisdom to start the week right

The Problem

Your entire business runs on AWS, and then eu-west-1 goes down for 6 hours. Or Azure has a global authentication outage. Or Google Cloud has a networking issue. You’re completely offline, losing revenue every minute, whilst your competitors who planned for multi-cloud resilience keep serving customers.

The Solution

Implement a multi-cloud backup strategy that protects against provider outages, vendor lock-in, and regional disasters. You don’t need to run everything everywhere – just ensure you can recover when your primary cloud provider has a bad day.

Multi-Cloud Backup Strategies:

1. Cross-Cloud Database Backups

# AWS RDS to Azure Blob Storage
aws rds create-db-snapshot --db-snapshot-identifier daily-backup-$(date +%Y%m%d)
aws rds copy-db-snapshot --source-db-snapshot-identifier daily-backup-$(date +%Y%m%d) \
    --target-db-snapshot-identifier cross-cloud-backup

# Export to Azure using AzCopy
azcopy copy "s3://my-rds-exports/*" "https://backupstorage.blob.core.windows.net/rds-backups/"

2. File Sync Across Providers

# Sync AWS S3 to Google Cloud Storage
gsutil -m rsync -d -r s3://my-aws-bucket gs://my-gcp-backup-bucket

# Sync Azure Blob to AWS S3
az storage blob download-batch \
    --destination ./temp-backup \
    --source backups \
    --account-name myazurestorage

aws s3 sync ./temp-backup s3://my-cross-cloud-backups/azure-backup/

3. Infrastructure as Code Replication

# Terraform modules that work across providers
module "database" {
  source = "./modules/database"
  
  # AWS configuration
  aws_region = "eu-west-1"
  aws_instance_class = "db.t3.micro"
  
  # Azure configuration (dormant until needed)
  azure_location = "UK South"
  azure_sku = "Basic"
  
  # GCP configuration (dormant until needed)
  gcp_region = "europe-west2"
  gcp_tier = "db-f1-micro"
}

4. Application Deployment Automation

# GitHub Actions for multi-cloud deployment
name: Multi-Cloud Backup Deployment
on:
  workflow_dispatch:
    inputs:
      target_cloud:
        description: 'Deploy to which cloud?'
        required: true
        default: 'aws'
        type: choice
        options:
        - aws
        - azure
        - gcp

jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
      - name: Deploy to AWS
        if: github.event.inputs.target_cloud == 'aws'
        run: |
          # AWS deployment commands
          
      - name: Deploy to Azure
        if: github.event.inputs.target_cloud == 'azure'
        run: |
          # Azure deployment commands
          
      - name: Deploy to GCP
        if: github.event.inputs.target_cloud == 'gcp'
        run: |
          # GCP deployment commands

Multi-Cloud Strategy Levels

Level 1: Data Backup (Start Here)

Daily database exports to different cloud provider
File synchronisation between cloud storage services
Configuration backups stored in multiple locations
Documentation of recovery procedures

Level 2: Warm Standby

Infrastructure code ready to deploy elsewhere
DNS failover configured for quick switching
Application deployments tested on backup cloud
Monitoring of backup systems

Level 3: Active-Active (Advanced)

Load balancing across cloud providers
Database replication in real-time
Automatic failover with health checks
Cost optimisation across providers

Why It Matters

Business Continuity: Keep serving customers during outages
Negotiating Power: Avoid vendor lock-in and improve contract terms
Compliance: Many regulations require geographically distributed backups
Risk Management: Protect against provider-specific risks

Try This Week

Audit your current setup – How dependent are you on one provider?
Choose your backup cloud – Pick a secondary provider for critical data
Start with data backup – Export your most critical databases/files
Document recovery procedures – Write down the steps to restore from backup

Quick Win: Cross-Cloud Storage Sync

# Set up automated daily sync (using cron)
#!/bin/bash
# daily-backup.sh

# Export critical data
aws s3 sync s3://production-data ./backup-staging/
azcopy copy "./backup-staging/*" "https://backup.blob.core.windows.net/daily-backups/"

# Clean up local staging
rm -rf ./backup-staging/*

# Log success
echo "$(date): Cross-cloud backup completed" >> /var/log/backup.log

Cost-Effective Multi-Cloud Tips

Use cold storage for backups (Amazon Glacier, Azure Archive, GCP Coldline)
Compress data before cross-cloud transfer to reduce egress costs
Schedule transfers during off-peak hours for better rates
Monitor costs – set up billing alerts for backup storage

Recovery Testing

Monthly tests: Restore a small dataset from backup cloud
Quarterly drills: Full application recovery exercise
Document everything: Time to recover, issues encountered, lessons learned
Automate testing: Use scripts to verify backup integrity

Common Pitfalls to Avoid

Egress costs: Moving data out of clouds can be expensive
Authentication complexity: Manage credentials securely across providers
Data sovereignty: Ensure backups comply with local regulations
Version compatibility: Test that backups work with current application versions

Pro Tip: Start small with just your most critical data. It’s better to have 90% of your data in one cloud and 10% backed up elsewhere than to have 100% of your data at risk from a single provider outage.

Successfully recovered from a cloud outage using multi-cloud backups? I’d love to hear your war stories and lessons learned – they make the best case studies!