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

What's inside

1. Level 1: How Google Cloud Is OrganisedFree
   How organisations, folders, projects, billing accounts, regions and zones fit together, how pricing and support work, and how to read the dated tables in this course.
2. Level 2: ComputeFree
   Every current Google Cloud compute service, from Compute Engine machine families to Spot VMs, sole-tenant nodes and specialised hosts, mapped to AWS and Azure one row per job.
3. Level 3: Serverless and App Hosting
   Cloud Run, Cloud Run functions, App Engine and the other hosting services, with former names, anything retiring and their AWS and Azure equivalents.
4. Level 4: Containers
   GKE Standard and Autopilot, Artifact Registry and the related container services, mapped to the AWS and Azure container platforms.
5. Level 5: Storage
   Cloud Storage classes, block, file and backup services, mapped to AWS and Azure storage, with notes on location types, retrieval charges and minimum storage durations.
6. Level 6: Databases
   Relational, globally distributed, NoSQL, in-memory and managed open-source databases on Google Cloud, mapped to AWS and Azure, with any retiring services noted.
7. Level 7: Analytics
   BigQuery, data processing, streaming, orchestration, catalogue and BI services on Google Cloud, with their AWS and Azure equivalents and the gaps between them.
8. Level 8: AI and Machine Learning
   Google Cloud's current AI platform, model access, agent tooling and pre-trained APIs, mapped to the AWS and Azure AI stacks as they stood when the tables were dated.
9. Level 9: Networking
   Global VPCs, load balancing, Cloud CDN, Cloud DNS, Cloud Interconnect, VPN and Cloud NAT, mapped to AWS and Azure, with notes on where the network model itself is different.
10. Level 10: Security and Identity
    IAM, Cloud Identity, key and secret management, perimeter controls, and threat detection services on Google Cloud, mapped to AWS and Azure security services.
11. Level 11: Integration and Messaging
    Pub/Sub, Eventarc, Workflows, Cloud Tasks, Cloud Scheduler, API management and integration services, mapped to AWS and Azure messaging and integration.
12. Level 12: Management and Monitoring
    Google Cloud Observability (Monitoring, Logging, Trace), infrastructure as code, cost management and governance tools, mapped to AWS and Azure operations services.
13. Level 13: Hybrid and Edge
    Google Distributed Cloud, fleet management for clusters outside Google Cloud, and edge offerings, mapped to AWS Outposts and edge services and Azure Arc and Azure Local.
14. Level 14: Developer Tools and Migration
    Cloud Build, Cloud Deploy, Artifact Registry, Cloud Shell and cloud workstations, plus the migration and transfer services, mapped to AWS and Azure.
15. Level 15: Terms That Mean Different Things
    Words such as project, account, subscription, region, zone, availability zone, service account, role, policy and reservation, which mean different things in each of the three clouds.
16. Level 16: Working Across Clouds
    Workload identity federation, cross-cloud network links, egress charges, data residency and the operating cost of running two clouds side by side.
17. Level 17: The Cross-Cloud Equivalence Sheet
    One consolidated, dated sheet that brings together every category mapping, with flags for judgement calls, mismatches and anything retiring.
18. Level 18: Final Challenge: Multi-Cloud Selection Exam
    A multi-cloud selection scenario that draws on every category and on working across clouds, ending in a short written record of the services chosen and why.

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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