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Introduction to Multi-Cloud

1 - Definitions​

1.1 Multi-Cloud vs Hybrid Cloud​

TypeDefinition
Multi-CloudUse of multiple public clouds (AWS + Azure + GCP)
Hybrid CloudCombination of public cloud + on-premises infrastructure
Poly-CloudMulti-cloud where each workload uses the best cloud for its needs

1.2 Why Multi-Cloud?​

  • Avoid vendor lock-in: Reduce dependence on a single provider
  • Resilience: Service continuity if one provider has issues
  • Best-of-breed: Use the best services from each cloud
  • Compliance: Meet regional regulatory requirements
  • Costs: Optimize by using the most competitive prices

2 - The 3 major Cloud Providers​

2.1 Comparison​

ServiceAWSAzureGCP
ComputeEC2, ECS, EKSVMs, AKSCompute Engine, GKE
ServerlessLambdaFunctionsCloud Functions
DatabaseRDS, DynamoDBSQL Database, Cosmos DBCloud SQL, Firestore
StorageS3Blob StorageCloud Storage
KubernetesEKSAKSGKE
CI/CDCodePipelineAzure DevOpsCloud Build

2.2 Strengths of each cloud​

3 - Benefits of Multi-Cloud​

3.1 Resilience and availability​

3.2 Best-of-Breed​

WorkloadRecommended cloudReason
Machine LearningGCPTensorFlow, TPU
Enterprise AppsAzureMicrosoft integration
E-commerceAWSProven scalability
Big DataGCPBigQuery
GamingAWSGameLift

3.3 Cost optimization​

  • Spot instances / Preemptible VMs based on prices
  • Reserved instances on the primary cloud
  • Burst to the cheapest cloud

4 - Challenges of Multi-Cloud​

4.1 Complexity​

ChallengeDescription
SkillsTeams must master multiple clouds
ToolingDifferent tools per cloud
NetworkingComplex interconnection
SecurityUnified policies are difficult
CostsHard to optimize

4.2 Data Gravity​

Data attracts workloads. Transferring data between clouds is:

  • Expensive (egress fees)
  • Slow (latency)
  • Complex (compliance)

4.3 Consistency​

5 - Use cases​

5.1 Disaster Recovery​

Scenario: Production on AWS, DR on Azure

# Typical configuration
Primary:
  Provider: AWS
  Region: eu-west-1
  Services:
    - EKS cluster
    - RDS PostgreSQL
    - S3 storage

DR:
  Provider: Azure
  Region: westeurope
  Services:
    - AKS cluster
    - Azure Database
    - Blob Storage
  
Replication:
  Database: Async (15 min RPO)
  Storage: Real-time
  DNS: 60s TTL

5.2 Geo-Distribution​

Scenario: Global application with regional presence

RegionCloudReason
AmericasAWSStrong presence
EuropeAzureGDPR compliance
AsiaGCPHigh-performance network

5.3 Vendor Diversification​

Scenario: Avoid critical dependence

  • Critical services on 2+ clouds
  • Workload portability (containers)
  • Abstractions with Terraform/Kubernetes

6 - Multi-Cloud tools​

6.1 Infrastructure as Code​

ToolTypeMulti-Cloud
TerraformIaCNative
PulumiIaCNative
CrossplaneKubernetes-native IaCNative

6.2 Orchestration​

ToolUsage
KubernetesContainer orchestration
RancherMulti-cluster management
AnthosGoogle multi-cloud platform
Azure ArcMicrosoft multi-cloud platform

6.3 Monitoring​

ToolType
DatadogSaaS monitoring
GrafanaVisualization
PrometheusMetrics
ELK StackLogging

Summary​

In this chapter, we discovered:

  • The definitions (Multi-Cloud vs Hybrid)
  • The benefits of Multi-Cloud
  • The challenges to overcome
  • Common use cases
  • The available tools

Next step​

In the next chapter, we will explore Multi-Cloud Strategies.

→ Next chapter: Multi-Cloud Strategies

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