AWS offers many instance types for users to choose from in order to meet their specific needs. These instance types include:
• EC2 instances – These are the most common types of AWS instances. They are lightweight and portable, making them perfect for use in development, testing, and small-scale production deployments.
EC2 instances run on Amazon Web Services’ virtualized infrastructure and come with a variety of pre-installed software and tools.
• Standard EC2 instances – These are the most popular EC2 instances. They come with a variety of features and options, including a greater number of memory and storage options, faster networking, and longer lifetimes.
• High-CPU EC2 instances – These instances are designed for high-performance applications that require more processing power than lower- CPU EC2 instances can provide.
• High- Memory EC2 instances – These instances are designed for high-memory applications that require more memory than lower-memory EC2 instances can provide.
• Compute instances – These instances are designed for using machine learning, big data, and other high-performance compute workloads.
• Storage instances – These instances are designed for using storage resources, such as HDFS, S3, and EBS.
AWS also offers a variety of instance types for use with its Lambda services. These instance types include:
• Node.js instances – These instances are designed for serving Node.js applications.
They come with a variety of options, including a high number of cores and memory, to make them perfect for use with Node.js.
• Java instances – These instances are designed for serving Java applications. They come with a variety of options, including a high number of cores and memory, to make them perfect for use with Java.
• Python instances – These instances are designed for serving Python applications. They come with a variety of options, including a high number of cores and memory, to make them perfect for use with Python.
• RInstance – These instances are designed for serving R applications. They come with a variety of options, including a high number of cores and memory, to make them perfect for use with R.
• S3 instances – These instances are designed for using Amazon S3 storage. They come with a variety of options, including a high number of cores and memory, to make them perfect for use with Amazon S3.
• EBS instances – These instances are designed for using Amazon EBS storage. They come with a variety of options, including a high number of cores and memory, to make them perfect for use with Amazon EBS.
• DynamoDB instances – These instances are designed for using Amazon DynamoDB storage. They come with a variety of options, including a high number of cores and memory, to make them perfect for use with Amazon DynamoDB.
• SES instances – These instances are designed for using Amazon SES messaging. They come with a variety of options, including a high number of cores and memory, to make them perfect for use with Amazon SES.
• CloudFront instances – These instances are designed for using Amazon CloudFront distribution. They come with a variety of options, including a high number of cores and memory, to make them perfect for use with Amazon CloudFront.
• Redshift instances – These instances are designed for using Amazon Redshift data storage. They come with a variety of options, including a high number of cores and memory, to make them perfect for use with Amazon Redshift.
• Elastic Beanstalk instances – These instances are designed for using Amazon Elastic Beanstalk application deployment. They come with a variety of options, including a high number of cores and memory, to make them perfect for use with Amazon Elastic Beanstalk.
• AppStream instances – These instances are designed for using the Amazon AppStream platform. They come with a variety of options, including a high number of cores and memory, to make them perfect for use with the Amazon AppStream platform.