MultiCloud Classroom notes 14/Sep/2024

Compute contd

Compute Services are generally charged for using hardware from CSP
CSP offer virtual machines of different sizes for different needs
Generally All the CSP’s give the following categories
- General Purpose Compute:
  - These are categories of machines designed to have balanced cpu to RAM ratio for general purposes
  - Usecases:
    - Dev, QA env..
    - medium scale servers
- Compute Optimized:
  - This category offers more CPU to RAM
  - Usecases:
    - Large scale web servers
    - Algorithm executions
- Memory Optimized:
  - This category offers more RAM to CPU RATIO
  - Usecases:
    - Cache Servers
- Storage Optimized:
  - This category offers more storage speeds
  - Usecases:
    - High frequency databases (SAP HANA, big data)
- High Performance Compute:
  - This is for large scale scientific application etc..
- GPU (Graphical Processing Unit):
  - This is Parallel Processing
  - Usecases:
    - Gaming
    - Machine Learning
Datacenter Refer Here
In AWS and Azure we have different series of machine types or instance types.
Each series is an different hardware specificiation and series will have generations as well
When we select any virtual machine in AWS/Azure we select a vm instance size which selects
- number of vCPUs
- size of RAM
There can be additional factors depending on CSP

On-demand Pricing (No commitments)
- highest price
Reservations (1 year or 3 year)
- less price
Spot Pricing
- least price
- but when actual demand increase your machine will be taken by

The service for creating virtual Machines is referred as Azure virtual Machines
Azure Virtual Machine by types Refer Here
In each type we have different series which correspond to differnt hardware specifications
Pattern: Refer Here and Refer Here

The service for creating virtual machines is referred as EC2
EC2 instance Types by purpose Refer Here
In each purpose we have different series which correspond to differnt hardware specifications
Naming Convention Refer Here