Amazon AWS EC2
Amazon EC2 provides a wide range of instance types, each optimized for different use cases, performance requirements, and cost considerations. Here are some of the most common instance types and their use cases:
General Purpose (e.g., t3, m5): These instances provide a balance of CPU, memory, and network resources, making them well-suited for a wide range of workloads, including web servers, small databases, and development/test environments.
Memory-Optimized (e.g., r5, x1): These instances are designed to deliver high memory capacity and fast performance, making them ideal for memory-intensive workloads such as in-memory databases, real-time big data analytics, and high-performance computing.
Compute-Optimized (e.g., c5, c6g): These instances offer high CPU performance, making them well-suited for compute-intensive workloads, such as batch processing, scientific modeling, and machine learning inference.
Storage-Optimized (e.g., i3, d2): These instances offer high disk throughput and I/O performance, making them ideal for data-intensive workloads, such as big data analytics, data warehousing, and log processing.
GPU Instances (e.g., p3, g4): These instances provide access to powerful graphics processing units (GPUs), making them ideal for workloads such as machine learning, video encoding, and scientific simulations.
High I/O Instances (e.g., hi1, i2): These instances are optimized for high I/O performance, making them well-suited for workloads such as NoSQL databases, data warehousing, and search engines.
Burstable Instances (e.g., t2, t3a): These instances provide a baseline level of CPU performance, with the ability to burst to higher levels when needed, making them ideal for workloads with intermittent or variable traffic, such as web applications and development/test environments.
These are just some of the many instance types available in Amazon EC2, and users can choose the instance type that best fits their workload requirements and budget.
Get Cloud Native Applications Design Course here
