AWS decision-guides documentation change
Summary
Entire documentation file removed including content about AWS compute services selection criteria, security considerations, compliance references, and service overviews
Security assessment
The deletion removes general compute service documentation including existing security/compliance sections (HIPAA/GDPR/SOC references, Nitro System security details). However, there's no evidence this removal addresses a specific security vulnerability. This appears to be routine content removal/restructuring rather than security-related patching.
Diff
diff --git a/decision-guides/latest/compute-on-aws-how-to-choose/choosing-aws-compute-service.md b/decision-guides/latest/compute-on-aws-how-to-choose/choosing-aws-compute-service.md index 3f602ff30..8b1378917 100644 --- a//decision-guides/latest/compute-on-aws-how-to-choose/choosing-aws-compute-service.md +++ b//decision-guides/latest/compute-on-aws-how-to-choose/choosing-aws-compute-service.md @@ -1 +0,0 @@ -[](/pdfs/decision-guides/latest/compute-on-aws-how-to-choose/compute-on-aws-how-to-choose.pdf#choosing-aws-compute-service "Open PDF") @@ -3,876 +1,0 @@ -[Documentation](/index.html)[AWS Decision Guides](https://aws.amazon.com/getting-started/decision-guides/)[AWS Decision Guide](choosing-aws-compute-service.html) - -IntroductionUnderstandConsiderChooseUseExplore - -# Choosing an AWS compute service - -**Taking the first step** - -**Purpose** | Help determine which AWS compute service is the best fit for your organization. ----|--- -**Last updated** | February 17, 2025 -**Covered services** | - - * [Amazon EC2](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/concepts.html) - * [Amazon EC2 Spot Instances](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/using-spot-instances.html) - * [Amazon EC2 Auto Scaling](https://docs.aws.amazon.com/autoscaling/ec2/userguide/what-is-amazon-ec2-auto-scaling.html) - * [AWS Batch](https://docs.aws.amazon.com/batch/latest/userguide/what-is-batch.html) - * [AWS Elastic Beanstalk](https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/Welcome.html) - * [Amazon Elastic Container Service](https://docs.aws.amazon.com/AmazonECS/latest/developerguide/Welcome.html) - * [Amazon ECS Anywhere](https://docs.aws.amazon.com/AmazonECS/latest/developerguide/ecs-anywhere.html) - * [Amazon Elastic Container Registry](https://docs.aws.amazon.com/AmazonECR/latest/userguide/what-is-ecr.html) - * [Amazon Elastic Kubernetes Service](https://docs.aws.amazon.com/eks/latest/userguide/what-is-eks.html) - * [Amazon EKS Anywhere](https://anywhere.eks.amazonaws.com/docs/) - * [AWS Fargate](https://docs.aws.amazon.com/AmazonECS/latest/developerguide/AWS_Fargate.html) - * [AWS Lambda](https://docs.aws.amazon.com/lambda/latest/dg/welcome.html) - * [AWS Local Zones](https://docs.aws.amazon.com/local-zones/latest/ug/what-is-aws-local-zones.html) - * [AWS Dedicated Local Zones](https://aws.amazon.com/dedicatedlocalzones/faqs/) - * [AWS Outposts](https://docs.aws.amazon.com/outposts/latest/userguide/what-is-outposts.html) - * [AWS Wavelength](https://docs.aws.amazon.com/wavelength/latest/developerguide/what-is-wavelength.html) - * [Savings Plans](https://docs.aws.amazon.com/savingsplans/latest/userguide/what-is-savings-plans.html) - * [AWS Compute Optimizer](https://docs.aws.amazon.com/compute-optimizer/latest/ug/what-is-compute-optimizer.html) - * [EC2 Image Builder](https://docs.aws.amazon.com/imagebuilder/latest/userguide/what-is-image-builder.html) - * [Elastic Load Balancing](https://docs.aws.amazon.com/elasticloadbalancing/latest/userguide/what-is-load-balancing.html) - * [Amazon Lightsail](https://docs.aws.amazon.com/lightsail/latest/userguide/what-is-amazon-lightsail.html) - - - -## Introduction - -AWS compute services are designed to meet the varied demands of modern applications, from small-scale projects to enterprise-grade solutions. These services provide scalable computing power that helps you to build, deploy, and manage applications. - -To get the most from your investment in these services, it's important to choose the right services for the right task or use case, whether it involves processing simple web app requests or running complex, data-intensive algorithms. - -You can, for example, use: - - * [Amazon Elastic Compute Cloud (Amazon EC2)](https://docs.aws.amazon.com/ec2/) to launch and manage virtual servers - - * [AWS Elastic Beanstalk](https://docs.aws.amazon.com/elasticbeanstalk/) to quickly deploy and manage web applications with minimal management of the infrastructure that runs those applications - - * [AWS Lambda](https://docs.aws.amazon.com/lambda/?icmpid=docs_homepage_featuredsvcs) to run code without having to provision or manage servers - - * [Amazon Elastic Container Service (Amazon ECS)](https://docs.aws.amazon.com/AmazonECS/latest/developerguide/Welcome.html) or [Amazon Elastic Kubernetes Service (Amazon EKS)](https://docs.aws.amazon.com/eks/latest/userguide/what-is-eks.html) to run and manage [containers](https://aws.amazon.com/what-are-containers) - - * [AWS Fargate](https://docs.aws.amazon.com/AmazonECS/latest/developerguide/AWS_Fargate.html) to run containers on AWS managed compute, or [AWS Batch](https://docs.aws.amazon.com/batch/latest/userguide/what-is-batch.html) to process large volumes of data in parallel - - - - -You can also use multiple types of compute solutions in a single workload, as each one has its own advantages. - -This guide will help you select the AWS compute services and tools that are the best fit for your needs and your organization. - -This two minute excerpt is from a presentation at re:Invent 2023 by Lorenzo Winfrey, an AWS Senior Business Development Specialist. He provides a quick overview of AWS compute application use cases. - -## Understand - -AWS compute services provide secure and resizable compute capacity in the cloud. AWS offers a range of compute services to meet various application requirements. These include Amazon EC2 for resizable virtual servers, Elastic Beanstalk for deploying web applications on your choice of a number of popular platforms, AWS Lambda for serverless computing, Amazon ECS and EKS for container orchestration, and AWS Fargate for serverless containers. - -Furthermore, AWS Batch facilitates batch computing. AWS hybrid and edge services such as [AWS Local Zones](https://docs.aws.amazon.com/local-zones/latest/ug/what-is-aws-local-zones.html) and [AWS Outposts](https://docs.aws.amazon.com/outposts/latest/userguide/what-is-outposts.html) bring AWS infrastructure and services to metropolitan areas, on-premises locations, and edge sites, addressing requirements for low latency, digital sovereignty, and local data processing. Additionally, Amazon EC2 Auto Scaling automatically adjusts capacity. These services cater to different workload needs, from basic virtual machines (VMs) to fully managed serverless and container solutions. - - - -**Amazon EC2 services** - -Amazon EC2 offers a wide range of instance types tailored to different workloads and applications. You can choose from a range of configurations, including different combinations of CPU, memory, storage, and networking capacity. EC2 provides a large variety of compute capacity options optimized for various workloads: general purpose, compute optimized, memory optimized, storage optimize, accelerated computing, and high-performance computing. - - * [Amazon EC2](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/concepts.html): Amazon EC2 provides on-demand, scalable computing capacity in the Amazon Web Services (AWS) Cloud, including AWS Graviton4 instances for improved price-performance and lower latency in compute-intensive applications, Trn2 instances for high-performance AI/ML training and inference, and P5eN instances optimized for deep learning (DL), high-performance computing (HPC) workloads, and generative AI applications. - - * [Amazon EC2 Auto Scaling](https://docs.aws.amazon.com/autoscaling/ec2/userguide/what-is-amazon-ec2-auto-scaling.html): Amazon EC2 Auto Scaling helps you maintain application availability and lets you automatically add or remove Amazon EC2 instances by using scaling policies that you define. - - * [EC2 Image Builder](https://docs.aws.amazon.com/imagebuilder/latest/userguide/what-is-image-builder.html): EC2 Image Builder is a fully managed AWS service that helps you to automate the creation, management, and deployment of customized, secure, and up-to-date server images. - - * [AWS Elastic Beanstalk](https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/Welcome.html): AWS Elastic Beanstalk supports applications developed in Python, Node.js, Java, .NET, PHP, Ruby, and GO. Elastic Beanstalk also supports Docker platforms. With Docker containers you can choose your own programming language and application dependencies that may not be supported by the other Elastic Beanstalk platforms. - - * [Amazon Lightsail](https://docs.aws.amazon.com/lightsail/latest/userguide/what-is-amazon-lightsail.html): Amazon Lightsail provides an easy way to build web applications providing instances, container services, managed databases, content delivery network distributions, load balancers, SSD-based storage, and DNS management. - - - - -**Container services** - -AWS container compute options are designed to help you deploy, manage, and scale containerized applications efficiently. Amazon ECS, for example, allows you to run and manage Docker containers at scale, handling cluster management and orchestration of containers. Amazon EKS provides a fully managed Kubernetes service, simplifying the deployment, management, and scaling of containerized applications using Kubernetes. - -You have the option of running containers on EC2 instances that you manage, or you can run them on Fargate on AWS managed compute. Additionally, AWS offers Amazon Elastic Container Registry (Amazon ECR), a fully managed Docker container registry. - - * [Amazon ECS](https://docs.aws.amazon.com/AmazonECS/latest/developerguide/Welcome.html): Amazon ECS is a fully managed container orchestration service that helps you easily deploy, manage, and scale containerized applications. - - * [Amazon ECS Anywhere](https://docs.aws.amazon.com/AmazonECS/latest/developerguide/ecs-anywhere.html): Amazon ECS Anywhere provides support for registering an _external instance_ such as an on-premises server or VM, to your Amazon ECS cluster. - - * [Amazon EKS](https://docs.aws.amazon.com/eks/latest/userguide/what-is-eks.html): Amazon EKS is a managed service that helps you easily deploy, manage, and scale containerized applications using Kubernetes on AWS infrastructure. Amazon EKS removes the need to install, operate, and maintain your own Kubernetes control plane on AWS. - - * [Amazon EKS Anywhere](https://anywhere.eks.amazonaws.com/docs/): Amazon EKS Anywhere is a container management software built by AWS that makes it easier to run and manage Kubernetes clusters on-premises and at the edge. - - * [Amazon ECR](https://docs.aws.amazon.com/AmazonECR/latest/userguide/what-is-ecr.html): Amazon ECR is an AWS managed container image registry service that is secure, scalable, and reliable. - - * [AWS Batch](https://docs.aws.amazon.com/batch/latest/userguide/what-is-batch.html): AWS Batch is a fully managed batch computing service that plans, schedules, and runs your containerized batch machine learning, simulation, and analytics workloads across the full range of AWS compute offerings, such as Amazon ECS, Amazon EKS, Fargate, and Spot or On-Demand Instances. - - - - -**Serverless compute** - -AWS offers serverless compute options, including AWS Lambda and AWS Fargate, which allow you to run your workloads without provisioning or managing servers. As a result, developers can focus on writing code by shifting as much management of the underlying infrastructure resources to AWS. - - * [AWS Fargate](https://docs.aws.amazon.com/AmazonECS/latest/developerguide/AWS_Fargate.html): AWS Fargate is a technology that you can use with Amazon ECS to run containers without having to manage servers or clusters of Amazon EC2 instances. - - * [AWS Lambda](https://docs.aws.amazon.com/lambda/latest/dg/welcome.html): Lambda runs your code on a high-availability compute infrastructure and performs all of the administration of the compute resources, including server and operating system maintenance, capacity provisioning and automatic scaling, and logging. - - - - -**On-premises and edge compute** - -AWS provides hybrid and edge compute options that allow you to extend AWS infrastructure and services to your premises and the edge. These edge and hybrid compute options provide flexibility and scalability for a wide range of use cases across different network environments. - - * [AWS Local Zones](https://docs.aws.amazon.com/local-zones/latest/ug/what-is-aws-local-zones.html): AWS Local Zones places compute, storage, database, and other select AWS resources close to large population and industry centers. You can use Local Zones to provide your users with low-latency access to your applications. - - * [AWS Dedicated Local Zones](https://aws.amazon.com/dedicatedlocalzones/faqs/): AWS Dedicated Local Zones are a type of AWS Infrastructure that is fully managed by AWS, built for exclusive use by a customer or community, and placed in a customer-specified location or data center to comply with regulatory requirements. - - * [AWS Outposts](https://docs.aws.amazon.com/outposts/latest/userguide/what-is-outposts.html): AWS Outposts is a fully managed service that extends AWS infrastructure, services, APIs, and tools to customer premises. - - * [AWS Wavelength](https://docs.aws.amazon.com/wavelength/latest/developerguide/what-is-wavelength.html): AWS Wavelength helps developers to build applications that deliver ultra-low latencies to mobile devices and end users. Wavelength deploys standard AWS compute and storage services to the edge of communications service providers' (CSPs') 5G networks. - - - - -**Cost optimization** - -AWS provides cost optimization services that allow you to reduce your AWS costs by committing to a usage level and generating recommendations to reduce the cost of your workloads. - - * [Savings Plans](https://docs.aws.amazon.com/savingsplans/latest/userguide/what-is-savings-plans.html): Savings Plans is a flexible pricing model that can help you reduce your bill compared to On-Demand prices, in exchange for a one- or three-year hourly spend commitment. - - * [AWS Compute Optimizer](https://docs.aws.amazon.com/compute-optimizer/latest/ug/what-is-compute-optimizer.html): AWS Compute Optimizer provides artificial intelligence and machine learning-based analytics to help you right size your workloads, reduce costs, and improve the performance of your workloads. - - * [Amazon EC2 Spot Instances](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/using-spot-instances.html): Amazon EC2 Spot Instances let you take advantage of unused EC2 capacity at a significant discount to On-Demand pricing, allowing you to lower your Amazon EC2 costs significantly. - - - - -**Elastic Load Balancing** - -[Elastic Load Balancing (ELB)](https://docs.aws.amazon.com/elasticloadbalancing/latest/userguide/what-is-load-balancing.html) automatically distributes your incoming traffic across multiple targets, such as EC2 instances, containers, and IP addresses, in one or more Availability Zones. - - * [Application Load Balancer](https://docs.aws.amazon.com/elasticloadbalancing/latest/application/introduction.html): An Application Load Balancer functions at the application layer, the seventh layer of the OSI model. After the load balancer receives a request, it evaluates the listener rules in priority order to determine which rule to apply, and then selects a target from the target group for the rule action. - - * [Network Load Balancer](https://docs.aws.amazon.com/elasticloadbalancing/latest/network/introduction.html): A Network Load Balancer functions at the fourth layer of the Open Systems Interconnection (OSI) model. It can handle millions of requests per second. After the load balancer receives a connection request, it selects a target from the target group for the default rule. - - * [Gateway Load Balancers](https://docs.aws.amazon.com/elasticloadbalancing/latest/gateway/introduction.html): Gateway Load Balancers help you to deploy, scale, and manage virtual appliances, such as firewalls, intrusion detection and prevention systems, and deep packet inspection systems. - - - - -## Consider - -Here are some key factors to consider when choosing an AWS compute service. Choosing the right AWS compute service involves balancing these factors to match your specific workload needs, technical requirements, and business objectives, to help you optimize for performance, cost, and ease of management. - -Workload type and requirements - - -Workload planning involves understanding the operational patterns and technical demands of your applications. For instance, **batch processing jobs** , which often involve running a series of tasks or a program on a large volume of data, require robust compute capacity, which can be scaled down upon job completion to manage costs effectively. - -**Web applications** , on the other hand, demand high availability and consistent performance to serve end-user requests at any scale. These workloads typically need a compute service that can dynamically adjust to fluctuating traffic patterns, ensuring smooth user experiences during demand surges and cost savings during quieter periods. Elastic Beanstalk is specifically designed for running web applications. It provides the runtime on EC2 instances so you just need to deploy your application code. - -**Machine learning models** introduce a different set of requirements, with distinct phases for training and inference. Training is computationally intensive and often requires specialized hardware accelerators such as GPUs or custom chips for a limited duration but at a high-performance level. Inference, however, might call for a highly available environment that can quickly respond to prediction requests, often benefitting from optimized compute services that support auto-scaling and low-latency processing. - -Choosing the right compute service entails matching these workload characteristics with the specific capabilities of each service to achieve operational efficiency, performance optimization, and cost management. - -Performance needs - - -Performance encompasses the compute power—CPU and GPU capabilities—for processing, the memory for data caching and operations, storage I/O for data throughput, and network bandwidth for data transfer. - -**High-performance applications** , such as those involving complex calculations or data-intensive processing, might require robust and fast CPUs or GPUs, found in compute-optimized or GPU-based EC2 instances. In contrast, **memory-intensive applications** , like those running large databases or in-memory caches, necessitate memory-optimized instances with a higher memory-to-CPU ratio. - -Furthermore, applications with **heavy input/output operations** , such as high-traffic web applications or big data processing systems, need storage-optimized instances with high I/O throughput. Lastly, network performance is crucial for **distributed systems and applications** that require rapid data transfer across instances or services. - -Optimizing for performance means choosing services that not only meet your current demands but can also scale with your application's growth, ensuring consistent, high-quality user experiences without overspending on resources. - -Scalability - - -Scalability is a critical criterion in the selection of AWS compute services, as it defines the ability of the system to handle growth and manage increased demand. Effective scalability ensures that your application can accommodate more users, handle more transactions, and process larger datasets without degrading performance. -