EC2 (Virtual Machine)
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General purpose instances provide a balance of compute, memory and networking resources, and can be used for a variety of diverse workloads. These instances are ideal for applications that use these resources in equal proportions such as web servers and code repositories.
Compute Optimized instances are ideal for compute bound applications that benefit from high performance processors. Instances belonging to this family are well suited for batch processing workloads, media transcoding, high performance web servers, high performance computing (HPC), scientific modeling, dedicated gaming servers and ad server engines, machine learning inference and other compute intensive applications.
Designed to deliver fast performance for workloads that process large data sets in memory, such as hosting database
Designed for workloads that require high, sequential read and write access to very large data sets on local storage. They are optimized to deliver tens of thousands of low-latency, random I/O operations per second (IOPS) to applications.
On Demand: Pay per second after first minute
Reserved Instances: Reserve the instance for at least 1 year for getting discount
Spot Instance: Instance can be lost at any time, if other works are needed for getting discount
Dedicated Host: A physical server is fully dedicated for your use, the most expensive option
A network drive that attach to EC2 instance
Allow persisting data even after termination
Can be detached and attached to other instance quickly
Locked in a AZ, so the AZ of EC2 and EBS must be the same
Make a backup of EBS at a point in time
can be restored across AZ or region
SSD: better i/o ops
HDD: higher volume
For io1/io2 class, the same volume can be attached to multiple instances
Up to 16 instances at a time
Advanced version of EBS
Better I/O performance
Lose the storage if EC2 are stopped so better for keeping temporary data
Managed network file system that can mounted in many EC2
Work with EC2s with multiple A-Z
Highly available and scalable
Put virtual machines into the same hardware to achieve low latency between them
Spread different virtual machines into different hardwares
Split the virtual machines into different partitions
Each partition belongs to different hardwares
Virtual machines in the same partition belongs to same hardware
Provide high availbility across the zones
Expose single of access to application
Separate the public traffic from private traffic
Layer 7 of load balancer
Based on the route, query params
Layer 4 of load balancer
Based on port number
User with the cookie will always go to the same instances
Evenly disturb the traffic across all instances in all AZ
