Overview of EC2 Instance Types and Their Use Cases

1. General Purpose:
   • Description: Balanced compute, memory, and networking resources for a variety of workloads.
   • Examples: T series (burstable performance) and M series (balanced performance).
   • Use Cases: Web servers, small to medium databases, and development environments.
2. Compute Optimized:
   • Description: Designed for compute-intensive applications that benefit from high-performance processors.
   • Examples: C series.
   • Use Cases: High-performance web servers, batch processing, and gaming.
3. Memory Optimized:
   • Description: Provides large amounts of memory for memory-intensive applications.
   • Examples: R series (for high-performance databases) and X series (for in-memory databases).
   • Use Cases: Big data analytics, in-memory databases (like Redis), and high-performance computing (HPC).
4. Storage Optimized:
   • Description: Designed for applications that require high, sequential read and write access to large data sets on local storage.
   • Examples: I series (optimized for I/O performance) and D series (high storage throughput).
   • Use Cases: Data warehousing, large relational or NoSQL databases, and distributed file systems.
5. Accelerated Computing:
   • Description: Instances that use hardware accelerators, or co-processors, to perform functions such as floating-point number calculations, graphics processing, and data pattern matching.
   • Examples: P series (GPU-based for machine learning and deep learning) and G series (graphics-intensive applications).
   • Use Cases: Machine learning, scientific simulations, and graphics rendering.

Summary

When choosing an EC2 instance type, consider the workload requirements (CPU, memory, storage, and network performance) to select the most appropriate instance type for your application's needs.