Cloud Platforms

Cloud Platforms

AWS Services and Best Practices

Compute Services

• EC2 (Elastic Compute Cloud): Virtual servers in the cloud
• Use instance types appropriate for workload requirements
• Implement Auto Scaling Groups for elasticity
• Use Spot Instances for fault-tolerant, interruptible workloads
• Leverage EC2 Fleet for diverse instance strategies

• Lambda: Serverless compute service
• Ideal for event-driven architectures
• Use for short-lived, stateless functions
• Implement dead-letter queues for failed invocations
• Monitor with CloudWatch metrics and logs

• ECS (Elastic Container Service): Container orchestration
• Use Fargate for serverless container execution
• Implement task definitions with resource limits
• Use service auto-scaling based on metrics
• Configure load balancing with ALB/NLB

• EKS (Elastic Kubernetes Service): Managed Kubernetes
• Use managed node groups for simplified operations
• Implement pod autoscaling (HPA, VPA)
• Use AWS VPC CNI for networking
• Integrate with IAM for service accounts

Storage Services

• S3 (Simple Storage Service): Object storage
• Use lifecycle policies for cost optimization
• Implement versioning for data protection
• Use S3 Transfer Acceleration for faster uploads
• Configure CORS for cross-origin access
• Enable S3 Event Notifications for automation

• EBS (Elastic Block Store): Block storage
• Choose volume type based on workload (gp3, io2, etc.)
• Use multi-attach for high availability
• Implement snapshots for backup
• Monitor volume metrics for performance

Database Services

• RDS (Relational Database Service): Managed relational databases
• Use Multi-AZ deployments for high availability
• Enable read replicas for scaling reads
• Use automated backups and point-in-time recovery
• Implement parameter groups for configuration

• DynamoDB: NoSQL database
• Design partition keys for even distribution
• Use on-demand mode for unpredictable workloads
• Implement TTL for automatic data expiration
• Use DynamoDB Accelerator (DAX) for caching

Infrastructure as Code

• CloudFormation: AWS native IaC
• Use stacks for resource organization
• Implement nested stacks for modularity
• Use change sets for safe updates
• Leverage CloudFormation exports for cross-stack references

Networking

• VPC (Virtual Private Cloud): Isolated network environment
• Use public and private subnets for tiered architecture
• Implement NAT Gateways for private subnet outbound access
• Use VPC endpoints for private connectivity to AWS services
• Configure route tables and security groups properly

Azure Services and Best Practices

Compute Services

• Azure Virtual Machines: Virtual servers
• Use managed disks for storage
• Implement availability sets for high availability
• Use Azure Spot VMs for cost savings
• Configure extensions for monitoring and management

• Azure Functions: Serverless compute
• Use Consumption plan for event-driven workloads
• Implement Durable Functions for stateful orchestrations
• Use Application Insights for monitoring
• Configure function app scaling

• Azure Kubernetes Service (AKS): Managed Kubernetes
• Use Azure CNI for advanced networking
• Implement cluster autoscaler
• Use Azure AD integration for authentication
• Configure pod identity for secure access to Azure resources

Storage Services

• Azure Blob Storage: Object storage
• Use access tiers (Hot, Cool, Archive) for cost optimization
• Implement lifecycle management policies
• Use blob versioning for data protection
• Configure CORS and shared access signatures

• Azure Disk Storage: Block storage
• Choose disk type based on workload (Premium SSD, Ultra Disk)
• Use Azure Disk Encryption for data at rest
• Implement snapshots for backup
• Monitor disk performance metrics

Database Services

• Azure SQL Database: Managed SQL database
• Use vCore-based or DTU-based purchasing models
• Implement geo-replication for disaster recovery
• Use transparent data encryption
• Configure automatic backups

• Azure Cosmos DB: Globally distributed NoSQL database
• Choose appropriate API (SQL, MongoDB, Cassandra, etc.)
• Use multi-master replication for global availability
• Implement consistency levels based on requirements
• Use throughput provisioning with RU/s

Infrastructure as Code

• Azure Resource Manager (ARM) Templates: Azure native IaC
• Use parameter files for environment-specific configurations
• Implement linked templates for modularity
• Use deployment scripts for post-deployment actions
• Leverage template specs for reusability

Networking

• Azure Virtual Network (VNet): Isolated network
• Use subnets for network segmentation
• Implement NSGs for security rules
• Use Azure Firewall for network protection
• Configure VNet peering for connectivity

GCP Services and Best Practices

Compute Services

• Compute Engine: Virtual machines
• Use custom machine types for optimized workloads
• Implement instance groups for auto-scaling
• Use preemptible VMs for cost savings
• Configure startup and shutdown scripts

• Cloud Functions: Serverless compute
• Use 2nd generation functions for better performance
• Implement event triggers for automation
• Use Cloud Logging and Cloud Monitoring
• Configure function deployment settings

• Google Kubernetes Engine (GKE): Managed Kubernetes
• Use Autopilot for fully managed clusters
• Implement node auto-provisioning
• Use Workload Identity for secure access
• Configure network policies for pod security

Storage Services

• Cloud Storage: Object storage
• Use storage classes (Standard, Nearline, Coldline, Archive)
• Implement lifecycle management rules
• Use object versioning for data protection
• Configure signed URLs and ACLs

• Persistent Disks: Block storage
• Choose disk type (Standard, Balanced, Extreme)
• Use regional disks for high availability
• Implement snapshots for backup
• Monitor disk I/O and throughput

Database Services

• Cloud SQL: Managed relational databases
• Use high availability configuration
• Implement read replicas for scaling
• Use automated backups and point-in-time recovery
• Configure SSL/TLS connections

• Cloud Spanner: Globally distributed SQL database
• Use multi-region configuration for global availability
• Design schema for optimal performance
• Implement instance sizing and scaling
• Use database roles for access control

Infrastructure as Code

• Deployment Manager: GCP native IaC
• Use Jinja or Python templates
• Implement composite types for reusability
• Use deployment manifests for organization
• Configure preview deployments

Networking

• Virtual Private Cloud (VPC): Isolated network
• Use subnets for network segmentation
• Implement VPC peering for connectivity
• Use Cloud NAT for private subnet outbound access
• Configure firewall rules for security

Multi-Cloud Strategies and Considerations

Multi-Cloud Approaches

• Multi-Cloud for Resilience: Distribute workloads across providers for disaster recovery
• Best-of-Breed Services: Use specific services from each provider based on strengths
• Vendor Lockout Mitigation: Avoid single-provider dependencies
• Cost Optimization: Leverage competitive pricing and spot markets

Multi-Cloud Challenges

• Complexity: Increased operational complexity and management overhead
• Consistency: Maintaining consistency across different platforms
• Networking: Cross-cloud connectivity and latency considerations
• Identity and Access Management: Unified identity across providers

Multi-Cloud Best Practices

• Abstraction Layers: Use abstraction layers (Terraform, Pulumi) for multi-cloud deployments
• Standardization: Standardize on common tools and practices
• Observability: Implement unified monitoring and logging across clouds
• Security: Implement consistent security policies across all platforms