AWS vs GCP vs Azure
summary
Comparison of AWS, GCP and Azure highlighting concrete differences: AWS focuses on fast VM boot (~36s), container options (ECS/Fargate) with later EKS Kubernetes support, developer tools like Amplify and DynamoDB; GCP leads in Kubernetes and machine learning with TPU hardware that outperforms rivals for TensorFlow and Cloud Run for one‑line build+deploy; Azure targets enterprise integration through Active Directory, hub‑and‑spoke/daisy‑chain VNet topologies and native regional availability. The talk also compares infrastructure-as-code tooling (ARM/CloudFormation/Deployment Manager vs Terraform) and notes large numbers of new cloud services appearing each year.
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chapters (16)
- 0:00Introduction
- 1:06Speakers
- 2:32Cloud history
- 8:49IaaS
- 17:17Networking and availability
- 26:31Resilience and fault tolerance
- 31:07IaC
- 46:12Containers and orchestration
- 1:00:03PaaS
- 1:21:14Q&A
- 1:27:55Cloud Run demo
- 1:59:30Elastic Beanstalk demo
- 2:10:58App Service demo
- 2:33:52Serverless and functions
- 2:41:19GraphQL and API Gateway
- 2:53:51Summary
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