Design and implement architectures that span AWS, Azure, and GCP, covering patterns for workload placement, inter-cloud networking, and vendor lock-in prevention.
Workload distribution, active-active deployments, cloud-bursting, and data gravity considerations for multi-cloud architectures.
VPN and interconnect options between AWS VPC, Azure VNet, and GCP VPC. DNS federation and traffic management across providers.
Terraform multi-provider configurations, Kubernetes as a portable compute layer, and container-based deployment strategies.
Centralized logging, metrics aggregation, and distributed tracing across cloud providers using tools like Datadog, Grafana, and OpenTelemetry.
Deploy the same application to EKS, AKS, and GKE with unified CI/CD.
Replicate data between AWS S3, Azure Blob, and GCP Cloud Storage with consistency checks.
Provision resources across all three clouds from a single Terraform configuration.
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