AWS Instance Types

There are different types of AWS instances. Here you will also know for which requirement a particular instance type has to be used. Let’s start with the naming convention of the instance types.

AWS Naming conventions:

m5.2xlarge

m: instance class

5: Generation

2xlarge: size within the instance class

General Purpose:

Mostly for diversified workloads with balanced resources.

The balance between Compute, Memory, Networking

Use cases:

• Webservers
• Code Repositories

Compute Optimized:

Mostly used for compute-intensive tasks which require high-performance processors

Use cases:

• Batch processing workloads
• Media transcoding
• High-performance web servers
• High-performance computing (HPC)
• Scientific modelling and machine learning
• Dedicated gaming servers

Memory Optimized:

Mostly for workloads which process large data sets in memory.

Use cases:

• High-performance, relational/non-relational databases
• Distributed web-scale cache stores
• In-memory databases optimized for BI(Business intelligence)
• Applications performing real-time processing of big unstructured data

Storage Optimized:

Mostly used for storage-intensive tasks which require high, sequential read and write access to large data sets on local storage.

Use Case:

• High-frequency online transaction processing (OLTP) systems
• Relational and NoSQL databases
• Data warehousing applications
• Cache for in-memory databases like Redis, Memcache
• Distributed file systems

All information on EC2instances is available at ec2instances.info