DAY -2 What is EC2

• Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides secure, resizable compute capacity in the cloud.

  Amazon EC2 reduces hardware costs so you can develop and deploy applications faster. You can use Amazon EC2 to launch as many or as few virtual servers as you need, configure security and networking, and manage storage.

  Instance types

• Instance types are named based on their family, generation

  

  The first position of the instance type name indicates the instance family, for example c. The second position indicates the instance generation, for example 7. The third position indicates the processor family, for example g. The remaining letters before the period indicate additional capabilities, such as instance store volumes. After the period (.) is the instance size, such as small or 4xlarge, or metal for bare metal instances.

• General purpose

General Purpose instances are designed to deliver a balance of compute, memory, and network resources. They are suitable for a wide range of applications, including web servers, small databases, development and test environments.

• Compute-optimized

  Compute Optimized instances provide a higher ratio of compute power to memory. They excel in workloads that require high-performance processing such as batch processing, scientific modeling, gaming servers, and high-performance web servers.

• Memory optimized

  Memory Optimized instances are designed to handle memory-intensive workloads. They are suitable for applications that require large amounts of memory, such as in-memory databases, real-time big data analytics, and high-performance computing.

• Storage optimized

  Storage Optimized instances are optimized for applications that require high, sequential read and write access to large datasets. They are ideal for tasks like data warehousing, log processing, and distributed file systems.

• Accelerated computing

  Accelerated Computing Instances typically come with one or more types of accelerators, such as Graphics Processing Units (GPUs), Field Programmable Gate Arrays (FPGAs), or custom Application Specific Integrated Circuits (ASICs). These accelerators offload computationally intensive tasks from the main CPU, enabling faster and more efficient processing for specific workloads.