cloud

What I do

• Design cloud architectures
• Choose appropriate cloud services
• Optimize cloud costs
• Ensure cloud security
• Implement cloud-native patterns

When to use me

When building cloud-native applications, migrating to cloud, or designing scalable systems.

Cloud Service Models

IaaS (Infrastructure as a Service)

• Virtual machines
• Networking
• Storage
• Examples: AWS EC2, GCP Compute Engine, Azure VMs
• Pros: Full control, flexibility
• Cons: Management overhead

PaaS (Platform as a Service)

• Runtime environments
• Databases
• Message queues
• Examples: Heroku, Cloud Run, App Service
• Pros: Less management
• Cons: Less control

SaaS (Software as a Service)

• Complete applications
• Examples: Salesforce, Office 365, Slack
• Pros: No management
• Cons: Least customization

Cloud Concepts

Compute

• Virtual machines
• Containers (ECS, EKS, AKS, GKE)
• Serverless (Lambda, Cloud Functions, Azure Functions)
• Container instances

Storage

• Object storage (S3, GCS, Blob)
• Block storage (EBS, PD, Managed Disks)
• File storage (EFS, Filestore)
• Archive storage (Glacier, Archive)

Networking

• VPCs and subnets
• Load balancers
• CDN
• DNS
• VPN/Direct Connect
• Private endpoints

Databases

• RDBMS (RDS, Cloud SQL, Azure SQL)
• NoSQL (DynamoDB, Cosmos DB, MongoDB Atlas)
• Caching (ElastiCache, Memorystore)
• Data warehousing (Redshift, BigQuery, Synapse)

Security

• Identity management (IAM)
• Security groups
• Encryption at rest/transit
• Key management (KMS)
• Firewall rules
• Compliance certifications

Cost Optimization

• Right-sizing resources
• Reserved instances
• Spot/preemptible instances
• Savings plans
• Cost monitoring
• Auto-scaling

Cloud-Native Patterns

• Microservices
• Containerization
• Orchestration
• Service mesh
• Observability
• CI/CD automation
• Infrastructure as Code