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What Is AWS EC2? Explaining Elastic Compute Cloud’s Features, Instance Types & More 

What is AWS EC2? Read on to discover how Amazon Web Services Elastic Compute Cloud revolutionizes cloud computing with scalable virtual servers. Learn about its instance types, key features and pricing, plus the best use cases for cloud projects.

Kevin KiruriAleksander HougenIgor Kurtz

Written by Kevin Kiruri (Writer)

Reviewed by Aleksander Hougen (Co-Chief Editor)

Facts checked by Igor Kurtz (Fact-checking editor)

Last Updated:

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what is amazon elastic compute cloud

Key Takeaways: What Is AWS EC2?

  • Amazon Web Services Elastic Compute Cloud (AWS EC2) offers flexible and scalable cloud computing power to allow users to quickly launch and manage virtual servers.
  • AWS offers a wide range of instance types optimized for compute, memory, storage and GPU workloads. Selecting the right instance ensures that organizations optimize performance and cost for their environments.
  • Amazon EC2 integrates with other AWS services such as storage, security and networking for a complete cloud solution. The integration helps users build secure, high-performing and highly available cloud environments.

Facts & Expert Analysis: Amazon Elastic Compute Cloud 

  • Amazon EC2 powers a significant portion of global cloud infrastructure: Amazon Web Services holds approximately 29% of the global cloud market, with EC2 being one of the most heavily used services across all regions and availability zones.
  • Intel Advanced Vector Extensions (AVX) enhance performance for compute-intensive workloads: Many Amazon EC2 instances powered by Intel Xeon Scalable processors, such as C5 and M5 instances, leverage Intel AVX to accelerate operations involving floating-point calculations, cryptographic algorithms and data compression.
  • Instance limits vary based on instance family and account configuration: By default, AWS limits new accounts to running 20 EC2 instances per region across all instance types. However, organizations may submit a service quota increase request to increase their limits for production workloads.

Amazon Web Services Elastic Compute Cloud (AWS EC2) is a major service used in modern cloud computing applications. EC2 offers an alternative to traditional bare-metal instances and offers resizable compute capacity in the cloud. It is ideal for workloads such as running web applications, processing big data and training machine learning models.

AWS EC2 is suitable for all business sizes, from startups aiming to deploy their first applications to enterprises seeking to optimize their performance. It offers a variety of pricing models — such as On-Demand Instances, Spot Instances and Reserved Instances — that allow businesses to optimize their performance while keeping costs under control.

In this article, we will explore how AWS EC2 works, as well as its functionalities, instance types, key features, pricing models and more, to provide a comprehensive understanding of how to leverage EC2 to meet various computing requirements. 

What Is AWS EC2?

Elastic Compute Cloud, or EC2, is an AWS web service that provides secure and resizable compute capacity in the cloud. It allows users to launch virtual servers, known as “instances,” as needed. This eliminates the need to invest in hardware upfront. Users can choose from a variety of operating systems for the virtual servers, such as Linux, Windows or macOS.

Amazon EC2
AWS EC2 helps users manage and customize virtual servers
for scalable cloud computing solutions.

AWS EC2 Key Features

Amazon EC2’s features are designed to deliver flexible, secure and high-performance cloud computing. These capabilities help businesses deploy applications quickly, dynamically scale resources and optimize costs efficiently. The features are designed to support a variety of workloads to meet users’ computing requirements with enterprise-grade reliability.

What Is AWS EC2 Used For? 

AWS EC2 is designed to give users flexible compute capacity in the cloud. It empowers users to run applications, host services and carry out complex computations without the overhead of managing physical servers. AWS EC2 supports a wide range of real-world use cases across industries. 

EC2 Use Case Example

The flexibility that AWS EC2 instances offer makes them ideal for diverse workloads, from small-scale web apps to enterprise-grade systems. Here are some of the most common use cases for Amazon EC2.

Deep Dive: Hosting Web Applications

Many businesses rely on Amazon EC2 to host dynamic websites, e-commerce platforms or content management systems (CMS). Auto-scaling groups can be used to automatically adjust capacity based on traffic spikes. For example, an e-commerce platform can increase the number of instances during peak traffic periods and scale back during quieter times.

EC2 instances can also be integrated with various AWS services to enhance web applications. Developers can attach EBS volumes for persistent storage and use security groups to protect the instances from malicious traffic. 

Pairing EC2 with EBS can provide a backend database service. Amazon CloudFront can be used for content caching to deliver low-latency performance globally, and developers can use pre-configured AMIs for faster development.

Deep Dive: Running Machine Learning and Batch-Processing Workloads

Training machine learning models demands massive computational power. Researchers, data scientists and enterprises can leverage compute-optimized or accelerated computing instances with high-performance processors. This dramatically reduces the time needed to train complex models. EC2’s flexibility helps provision large clusters of instances for distributed analytics.

Batch workloads such as video encoding and scientific modeling benefit from spot instances, which allow users to assess unused AWS capacity at high discounts. When these applications are built to be fault-tolerant to interruptions, businesses can achieve massive savings without sacrificing speed. 

EC2’s versatility makes it an excellent platform for compute-heavy jobs where speed, scalability and budget optimization are critical.

What Are EC2 Instances in AWS? 

An EC2 instance is a virtual server running in the AWS cloud environment. When you launch an instance, you rent computing power, memory, networking and storage from AWS to run applications like you would on a physical machine. 

At its core, an EC2 instance acts like a standalone computer but has the advantages of elastic scalability, high availability and pay-as-you-go pricing.

EC2 instances are launched using an Amazon machine image (AMI), which is a preconfigured template containing the OS and software stack. AWS offers pre-built AMIs but also lets you create customized ones for specialized workloads. Instances can be scaled vertically (upgraded to a larger type) or horizontally (increased in number) using auto-scaling groups.

Amazon EC2 Instance Types

AWS offers a range of EC2 instance types, each of which is optimized for specific workloads and performance requirements. The instance types are grouped into families based on their optimal compute, memory, storage or networking capabilities. AWS offers users the flexibility to select the most suitable instance based on their needs.

AWS EC2 Instance Types
AWS allows users to select the instance type when launching EC2 instances.

General-Purpose Instances

General-purpose instances offer a balanced ratio of compute, memory and networking resources. They are ideal for general workloads that do not require extreme CPU or memory optimization, such as small and medium databases, web servers, development and test environments, and backend servers. Instance types in this family include M5, M5a, M6a, M7i, M8g, T2, T3, T3a, T4g and Mac1.

Compute-Optimized Instances

Compute-optimized instances are designed for CPU-intensive workloads. They feature latest-generation processors with high clock speeds and enhanced vector processing. These instances are ideal for gaming servers, video encoding, scientific modeling and scientific simulations. Some of the instance types include C8g, C7g, C6a, C5 and C4.

Memory-Optimized Instances

Memory-optimized instances are designed to deliver fast performance for memory-heavy applications. They offer high RAM-to-vCPU ratios and fast data processing. These instances are suitable for in-memory databases, large-scale caching and real-time big data processing. Examples of instance types are R8g, R7i, R5, X8g, X2gd, X1 and z1d.

Accelerated Computing Instances

Accelerated computing instances utilize hardware accelerators or co-processors to handle specialized tasks. They are perfect for workloads such as deep learning training, generative AI applications, 3D rendering and video transcoding. Some of the instance types in this instance family include P5, P4, G6e, G6, G5, Trn1, Inf1, F2 and VT1.

Storage-Optimized Instances

Storage-optimized instances have high-throughput, low-latency local storage, making them ideal for applications with intensive disk I/O. They are designed for workloads requiring sequential read and write access to large datasets on local storage. 

Use cases include large-scale data warehousing, OLTP systems, log processing and file servers. Some of the instance types in this family include I8g, I7ie, I3, D3, D2 and H1.

HPC-Optimized Instances

HPC (high-performance computing) instances are built to optimize the cost of large-scale high-performance computing on AWS. They’re best for applications that run on high-performance processors. Use cases include scientific modeling, distributed analytics and engineering simulations, and instance types include Hpc7g, Hpc7a, Hpc6id and Hpc6a.

How Are EC2 Instances Managed? 

Managing EC2 instances helps users run reliable and scalable applications in the AWS cloud. AWS offers various tools to help users keep the infrastructure optimized, secure and cost-effective. The easiest way to manage EC2 instances is through the AWS Management Console, which lets users launch, configure, monitor and terminate EC2 instances.

Advanced administrators mostly leverage the AWS CLI (command-line interface) and SDKs (software development kits) to automate deployments from code repositories, which enable operations across multiple EC2 instances. This programmatic approach is best suited for DevOps workflows in which a few commands can be used to manage the instances.

At scale, Infrastructure as Code (IaC) becomes essential for managing complex environments. Tools like AWS CloudFormation and Terraform help teams define their cloud computing infrastructure in configuration files. This helps create reproducible environments and version-controlled changes.

AWS has powerful monitoring and optimization tools. Amazon CloudWatch delivers real-time metrics on CPU performance, memory usage and network traffic, while AWS Systems Manager automates patching and instance storage management. EC2 instance security is managed through IAM roles, elastic IP addresses and EBS snapshots for data protection.

Why Is Amazon Elastic Compute Cloud Useful? 

Amazon Elastic Compute Cloud (EC2) has revolutionized how businesses approach IT infrastructure by offering a highly flexible, scalable and secure cloud computing environment for a wide range of workloads. The list below details some of the reasons why organizations may find AWS EC2 useful for their infrastructure.

  1. Flexibility and scalability: Amazon EC2 allows users to easily scale their resources up or down depending on their workload demands. Services such as auto-scaling and elastic load balancing adjust the environment to traffic spikes or seasonal demands without manual intervention.
  2. Cost optimization: EC2 has flexible pricing models, such as On-Demand Instances, Reserved Instances, Spot Instances and Savings Plans, which help businesses achieve the best pricing performance based on their needs. This flexibility helps companies allocate their budgets more efficiently.
  3. Built-in security and compliance: AWS EC2 has powerful security features to protect accounts and instances. IAM roles, security groups and network access control lists help users control access to instances. AWS also complies with major regulatory standards, helping companies in strict industries meet requirements.
  4. High performance for diverse workloads: EC2 offers a wide range of instance types that are optimized to perform specific tasks, from general-purpose applications to compute-intensive tasks. This makes EC2 useful for all types of workloads within an organization.
  5. Simplified management and automation: EC2 can be integrated into management and automation tools to reduce an organization’s operational overhead. AWS Systems Manager helps monitor, patch and back up a collective group of instances. Amazon CloudWatch helps track performance metrics, and Infrastructure-as-Code tools such as Terraform help create reproducible deployments.

What Are the Challenges of Using AWS EC2? 

Though Amazon EC2 offers powerful cloud computing capabilities, it also presents challenges that organizations must navigate to maximize efficiency and cost-effectiveness. Managing EC2 instances effectively requires thoughtful planning, skillful configuration and an understanding of both technical and business needs. 

We go over some of the common challenges that businesses and developers encounter when using Amazon EC2 below.

  1. Cost management complexity: AWS offers flexible pricing models such as On-Demand Instances, Reserved Instances and Spot Instances. However, failing to choose the right model can lead to unnecessary costs. Cost-optimization tools like AWS Cost Explorer and AWS Budgets can help users manage their EC2 costs.
  2. Managing security and access control: AWS offers robust security features, but misconfigurations are a major cause of data breaches. Common pitfalls include overly permissive security groups, unencrypted EBS volumes and poor IAM policies. Organizations should enforce least-privilege access, enable AWS GuardDuty for threat detection and use automated compliance checks with AWS Config.
  3. Operational complexity for large environments: As businesses grow, their EC2 environment may grow to hundreds or thousands of instances. Tracking instance health, handling incoming application traffic and achieving high CPU utilization across fleets can be overwhelming without proper automation. Organizations should set up monitoring and automation tools such as auto-scaling, Amazon CloudWatch and AWS Systems Manager, which may require technical expertise.

EC2 vs Other AWS Products

AWS offers a vast ecosystem of cloud solutions, each of which is designed for specific use cases. While EC2 provides scalable virtual servers, other services specialize in serverless computing, storage, containers and more. Understanding the differences can help organizations choose the best services for their architecture.

Let’s compare EC2 to some of the most commonly used AWS services.

  1. AWS Lambda: While EC2 requires provisioning and managing servers with full control over the operating system, networking and scaling, AWS Lambda runs event-driven stateless functions where the user does not manage the servers.
  2. Amazon S3 (Simple Storage Service): Amazon S3 offers a highly durable object-level storage solution where users can store files, backups, videos and more without worrying about the underlying server management tasks.
  3. Amazon EBS (Elastic Block Store): EBS offers durable, high-performance elastic block storage volumes for use with EC2 instances. It acts like a hard drive for EC2 instances to store applications, the operating system and data. EC2 provides compute capacity to run applications, while EBS handles the data storage.
  4. Amazon ECS (Elastic Container Service): EC2 instances run traditional virtual machines where users manage the OS and applications, while Amazon ECS is used to deploy and manage containers at scale on EC2 instances or with AWS Fargate. ECS abstracts many server management tasks when running containers on EC2.
  5. Amazon RDS (Relational Database Service): Amazon RDS is a fully managed service for running relational databases in the cloud. While EC2 can be used to set up a database manually, RDS simplifies the entire process by managing tasks like backups, patching and automatic scaling.

AWS Billing 

Billing on Amazon EC2 is based on a flexible pay-as-you-go model that allows customers to pay only for the resources they consume. EC2 charges are primarily based on the instance type, size, region and duration. Pricing models such as On-Demand, Reserved Instances and Spot Instances give businesses options to match their usage patterns and budgets.

In addition to instance usage, AWS billing can include extra charges based on elastic IP addresses, block-level storage volumes and networking services. Customers can track and manage their spending in the AWS Management Console, where Billing and Cost Management provides detailed insights into resource consumption and monthly forecasts.

To manage budget overruns, users can set up billing alarms in Amazon CloudWatch to trigger notifications when costs exceed predefined thresholds. Additionally, AWS Trusted Advisor offers real-time recommendations for cost optimization, such as identifying idle instances.

AWS EC2 Pricing Tiers

AWS offers multiple pricing tiers to provide flexible options for businesses of all sizes and budget constraints. By choosing the right pricing tier, users can get the best price performance based on their application requirements, usage patterns and budget. The following is an overview of the primary AWS EC2 pricing options:

  1. On-Demand Instances: This plan allows users to pay for EC2 compute capacity by the hour or by the second without any long-term commitment. It is best for short-term, unpredictable workloads that cannot be interrupted. However, this is the most expensive option for long-running workloads.
  2. Reserved Instances: Users commit to a one- or three-year term for discounted rates of up to 72% off on-demand pricing on a specific instance type. The All Upfront, Partial Upfront and No Upfront payment options give users flexibility in how they manage their budget and payment schedule. This plan is best for steady-state workloads, such as databases and production environments.
  3. Spot Instances: Users bid for unused AWS capacity at discounts of up to 90% off on-demand pricing. This is best for fault-tolerant workloads such as ad serving or batch processing that can handle interruptions. AWS can terminate spot instances if the capacity is needed elsewhere, so it’s not ideal for critical or persistent workloads.
  4. Savings Plans: Instead of reserving a specific instance type, users commit to a consistent amount of compute usage, measured in dollars per hour over a one- or three-year term. Savings plans offer up to 72% savings and allow users to switch between instance types, regions or operating systems without losing the discount. This plan is best for steady workloads that need flexibility across instance types.
  5. Dedicated hosts: Dedicated hosts are physical servers dedicated entirely to an organization, mainly to help it meet compliance needs, use existing server-bound software licenses or maintain physical isolation. They are ideal for highly regulated industries or legacy applications that require licensing tied to a full CPU core count. 

Final Thoughts 

Amazon EC2 provides immense flexibility, scalability and processing power for businesses of all sizes. It offers a wide range of instance types that are designed to handle diverse business workloads. EC2 offers the flexibility and control needed for modern cloud deployments, helping organizations optimize performance and costs.

Choosing the right EC2 instance, using management tools to effectively manage them and selecting the right pricing tier is critical for organizations to achieve cost optimization and operational excellence. Users can implement strategies such as placing resources in the same region to reduce latency or setting up CPU credits for burstable workloads to maximize efficiency.

Thank you for reading. We would love to hear your thoughts. How do you manage your EC2 instances to maintain optimal performance? What challenges have you faced that required a network administrator’s help? Feel free to share your experiences in the comment section and ask any questions you may have.

FAQ: AWS EC2 Service 

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