Performance Efficiency - Compute performance options

Question 1

Compute Considerations

Answer 1

• Understand your workload: gather and analyze data
• Understand AWS compute
• Test, test, and test

Question 2

EC2 - Characteristics

Answer 2

• It’s the default option. You own OS, and choose resources (IaaS)
• Resources: vCPUs, memory, storage and network
• Auto scaling options: based on metrics, based on schedule, and based on health to maintain capacity

Question 3

EC2 - Benefits

Answer 3

• Burstable: some instance types bank capacity so they can be used later when there’s excess workload
• Offers GPU focused instances
• Also provides FPGA focused instances (filled programable gate arrays): customized hardware accelerators

Question 4

EC2 - Instance types

Answer 4

• General purpose
• Compute optimized
• Memory optimized
• Accelerated computing: includes GPU and FPGA focused instances
• Storage optimized
• Bare metal to support licensing needs

Question 5

ECS - Characteristics

Answer 5

• Useful for similar workloads as EC2: long running apps, batch processing, and microservices
• Benefits: provides better use of resources, ELB, and Autoscaling
• AWS Fargate: lets you manage instances of containers for a serverless experience

Question 6

Lambda - Characteristics

Answer 6

• Useful for backend, event, stream, and data processing
• Types of triggers: AWS resource triggers and API endpoints
• Must identify memory, so AWS will provide CPU to process it
• Benefits: simply execute code, automatic scaling, fault tolerant, and pay only for the usage. In the case of EC2 and ECS you pay for instances even the system isn’t using it