​Amazon Elastic Compute Service (EC2)



 ​Amazon Elastic Compute Service (EC2) offers a diverse range of instance types tailored to various application requirements. These include general purpose, compute optimized, memory optimized, and storage optimized instances, each designed to provide optimal performance for specific workloads.

General Purpose Instances

General purpose instances provide a balanced mix of compute, memory, and networking resources, making them suitable for a broad range of applications. For example, the M5 instances are ideal for web and application servers, small and mid-sized databases, and development environments .

Compute Optimized Instances

Compute optimized instances are designed for compute-intensive applications that benefit from high-performance processors. These instances are ideal for batch processing workloads, media transcoding, high-performance web servers, scientific modeling, and machine learning inference 

Memory Optimized Instances

Memory optimized instances are designed to deliver fast performance for workloads that process large data sets in memory. These instances are suitable for high-performance databases, real-time big data analytics, and in-memory caches 

Storage Optimized Instances

Storage optimized instances are 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 .​

Choosing the Right Instance Type

Selecting the appropriate instance type depends on the specific performance and storage requirements of your application. By understanding the characteristics of each instance family, you can optimize your workloads for cost and performance.

Recommended Product

To manage and monitor your EC2 instances effectively, consider using the AWS CloudWatch service. It provides data and actionable insights to monitor your applications, understand and respond to system-wide performance changes, and optimize resource utilization.


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