Cloud Pro Crash Course: AWS Services Compared with Azure and Google Cloud

What's inside

1. Level 1: How AWS Is Organised and How to Use This CourseFree
   Learn how AWS is organised: Organizations, organizational units and member accounts, then Regions, Availability Zones and edge locations. Then learn how pricing and support plans work, and how this course's dated service and equivalence tables are built and should be read.
2. Level 2: Compute: AWS Services Mapped to Azure and GCPFree
   Review every current AWS compute service, including EC2 and its purchase options, Auto Scaling, Lightsail, Batch and specialised instances, and map each job to its Azure and Google Cloud equivalent, noting where the match breaks.
3. Level 3: Serverless and App Hosting Across Three Clouds
   Review AWS's serverless and app hosting services, including Lambda, Elastic Beanstalk, App Runner, Amplify Hosting and related services, and map each job to Azure and Google Cloud, with notes on runtime limits, cold starts and pricing models.
4. Level 4: Containers: ECS, EKS, Fargate and Their Peers
   Review AWS's container services, covering registries, orchestration, serverless container capacity and on-premises options, and map them to AKS, Azure Container Apps, GKE, Cloud Run and their registries.
5. Level 5: Storage: Object, Block, File and Backup
   Review AWS's storage services, covering S3 and its storage classes, EBS, EFS, the FSx family, Storage Gateway, Backup and data transfer appliances, and map each job to Azure and Google Cloud storage equivalents.
6. Level 6: Databases: Relational, NoSQL and Specialised
   Review AWS's database services, including RDS, Aurora, DynamoDB, ElastiCache, DocumentDB, Neptune, Keyspaces, Timestream and others, and map each to Azure and Google Cloud databases, with notes on engine compatibility and scaling behaviour.
7. Level 7: Analytics: Warehousing, Lakes and Streaming
   Review AWS's analytics services, including Redshift, Athena, EMR, Glue, Kinesis, managed Kafka (MSK), OpenSearch, QuickSight, Lake Formation and the SageMaker-branded data and analytics experience, and map them to Azure and Google Cloud analytics services.
8. Level 8: AI and Machine Learning Services Mapped
   Review AWS's AI and ML services, covering Bedrock, SageMaker AI and the prebuilt AI services for vision, speech, language and documents, and map them to Azure AI Foundry, Azure AI services, Vertex AI and Google Cloud's AI APIs.
9. Level 9: Networking: VPCs, Load Balancing, DNS and CDN
   Review AWS's networking services, including VPC, Transit Gateway, Cloud WAN, Direct Connect, Site-to-Site VPN, Elastic Load Balancing, Route 53, CloudFront, Global Accelerator and VPC Lattice, and map each job to Azure and Google Cloud.
10. Level 10: Security and Identity Across the Three Clouds
    Review AWS's security, identity and compliance services, including IAM, IAM Identity Center, Organizations policies, KMS, Secrets Manager, GuardDuty, Security Hub, WAF, Shield and Inspector, and map them to Entra ID, Defender, Key Vault and Google Cloud's IAM and Security Command Center.
11. Level 11: Integration and Messaging: Queues, Events, Flows
    Review AWS's integration services, including SQS, SNS, EventBridge, Step Functions, MQ, AppFlow and API Gateway, and map them to Azure Service Bus, Event Grid, Logic Apps, API Management and Google Cloud Pub/Sub, Eventarc and Workflows.
12. Level 12: Management and Monitoring Services Mapped
    Review AWS's management and governance services, including CloudWatch, CloudTrail, Config, Systems Manager, Control Tower, CloudFormation, Trusted Advisor and the cost management tools, and map them to Azure Monitor, Azure Policy, Cloud Monitoring, Cloud Logging and the related services.
13. Level 13: Hybrid and Edge: Outposts, Local Zones and IoT
    Review AWS's hybrid, edge and IoT services, including Outposts, Local Zones, Wavelength, the Snow family, ECS and EKS Anywhere and the IoT services, and map them to Azure Arc, Azure Local, Google Distributed Cloud and their IoT offerings.
14. Level 14: Developer Tools and Migration Services Mapped
    Review AWS's developer tools and its migration and transfer services, including the CodeBuild, CodeDeploy and CodePipeline family, CDK, the AI coding assistants, Application Migration Service, Database Migration Service, DataSync and Transfer Family, and map them to Azure and Google Cloud equivalents.
15. Level 15: Terms That Mean Different Things in Each Cloud
    Learn the terms that look the same but mean different things across AWS, Azure and Google Cloud, such as account, subscription and project, region and zone, resource group, role and principal, and availability or durability claims.
16. Level 16: Working Across Clouds: Identity, Links, Egress, Cost
    Learn the practical mechanics of running across two clouds: identity federation and workload identity, private network links between clouds, egress charges and where data sits, and the ongoing operating cost of a second cloud.
17. Level 17: The Consolidated Cross-Cloud Equivalence Sheet
    Put every category table together into one dated AWS, Azure and Google Cloud equivalence sheet. Each row is marked as a direct match, a judgement call or no direct equivalent, and the sheet comes with a plan for keeping it current.
18. Level 18: Final Challenge: A Multi-Cloud Selection Record Exam
    Apply the whole course to a realistic multi-cloud scenario. Select services across categories, justify cross-cloud placement against identity, network, egress and cost, and write a short dated decision record of your choices.

Access

The first 2 levels are free with a free account. Every level, the podcast edition and the AI tutor come with All Access at £4.99/month or any Creator plan — see pricing.

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