multi-cloud

## What I do - Design multi-cloud architectures - Manage resources across multiple cloud providers - Implement cloud-agnostic abstractions - Configure cross-cloud networking - Build disaster recovery across clouds - Optimize costs across providers ## When to use me - When avoiding vendor lock-in - When meeting regulatory requirements - When building global applications - When implementing disaster recovery - When leveraging best-of-breed services - When optimizing costs across providers ## Key Concepts ### Multi-Cloud Architecture ``` ┌──────────────────┐ │ Internet │ └────────┬─────────┘ │ ┌──────────────┼──────────────┐ │ │ │ ┌──────▼──────┐ ┌─────▼─────┐ ┌──────▼──────┐ │ AWS │ │ Azure │ │ GCP │ │ (Primary) │ │(Secondary)│ │ (Backup) │ └──────┬──────┘ └─────┬─────┘ └──────┬──────┘ │ │ │ └──────────────┼──────────────┘ │ ┌────────▼─────────┐ │ Cross-Cloud │ │ Load Balancer │ └──────────────────┘ ``` ### Cross-Cloud Networking ```hcl # AWS to GCP via Cloud Interconnect resource "aws_dx_connection" "aws_to_gcp" { name = "aws-gcp-interconnect" bandwidth = "1Gbps" location = "EqDC2" provider = aws.aws_primary } # Azure to AWS via VPN resource "azurerm_virtual_network_gateway" "azure_to_aws" { name = "azure-vpn-gateway" location = "eastus" resource_group_name = "rg-main" type = "Vpn" vpn_type = "RouteBased" ip_configuration { public_ip_address_id = azurerm_public_ip.vpn.id subnet_id = azurerm_subnet.gateway.id } } ``` ### Kubernetes Multi-Cloud ```yaml # Federation V2 apiVersion: core.kubefed.io/v1beta1 kind: KubeFedConfig metadata: name: kubefed spec: scope: Namespaced featureGates: - name: PushReconciler configuration: Enabled - name: SchedulerPreferences configuration: Enabled --- # Federated Deployment apiVersion: types.kubefed.io/v1beta1 kind: FederatedDeployment metadata: name: myapp spec: template: spec: replicas: 3 selector: matchLabels: app: myapp placement: clusters: - name: aws-cluster - name: azure-cluster ``` ### Cloud-Agnostic Tools | Category | Tools | |----------|-------| | IaC | Terraform, Pulumi | | Containers | Kubernetes, Docker | | Orchestration | Nomad, Kubernetes | | Monitoring | Prometheus, Grafana | | Service Mesh | Istio, Linkerd | | Serverless | Knative, OpenFaaS | ### Cross-Cloud Identity ```yaml # AWS IAM Roles Anywhere - role: arn: arn:aws:iam::123456789012:role/CrossCloudRole credential_source: environment: name: AWS_ACCESS_KEY_ID # Azure AD with AWS resource "azuread_application" "multi_cloud" { display_name = "MultiCloudApp" } resource "azuread_service_principal" "multi_cloud" { application_id = azuread_application.multi_cloud.application_id } ``` ### Disaster Recovery Strategy ``` RTO (Recovery Time Objective): 1 hour RPO (Recovery Point Objective): 15 minutes Active-Passive: Primary: AWS (eu-west-1) Secondary: Azure (eastus) Replication: Async database replication Failover: DNS switch Active-Active: Primary: AWS (us-east-1) Secondary: GCP (us-central1) Sync: Multi-region database Traffic: Weighted DNS ``` ### Cost Optimization ```python # Multi-cloud cost analysis class CloudCostAnalyzer: def __init__(self): self.aws_client = boto3.client('ce') self.azure_client = azure.mgmt.costmanagement.QueryClient() def get_total_cost(self): aws_costs = self.aws_client.get_cost_and_usage( TimePeriod={'Start': '2024-01-01', 'End': '2024-01-31'}, Granularity='MONTHLY', Metrics=['UnblendedCost'] ) azure_costs = self.azure_client.query( scope=f"/subscriptions/{self.azure_sub_id}", parameters={ 'type': 'ActualCost', 'timeframe': 'MonthToDate', } ) return self.aggregate_costs(aws_costs, azure_costs) ``` ### Best Practices - Use abstraction layers for portability - Implement observability across all clouds - Standardize on common tooling - Plan for network latency between clouds - Implement consistent security policies - Document cloud-specific configurations