https://haojian.github.io/DSC102SP24/static_files/presentations/6CloudComputing.pdf

Main idea:

Compute, storage, memory, networking, etc. are virtualized and exist on remote servers; rented by application users

Pros:

• Manageability: Managing hardware is not user’s problem
• Pay-as-you-go: Fine-grained pricing economics based on actual usage (granularity: seconds to years!)
• Elasticity: Can dynamically add or reduce capacity based on actual workload’s demand

Infrastructure as a Service

• Compute: EC2, Lambda
• Storage: S3, Glacier, EBS
• Network: Cloudfront, VPC

AWS EC2 has a wide range of use cases since almost everything can be configured when using this service. The most common use cases of AWS EC2 are:

• Hosting web sites
• Developing and testing applications or complex environments
• High performance computing
• Disaster recovery

General use cases of AWS Lambda:

• Automating tasks
• Processing objects uploaded to Amazon S3
• Real-time log analyzing