We use essential cookies and similar tools that are necessary to provide our site and services. We use performance cookies to collect anonymous statistics, so we can understand how customers use our site and make improvements. Essential cookies cannot be deactivated, but you can choose “Customize” or “Decline” to decline performance cookies.
If you agree, AWS and approved third parties will also use cookies to provide useful site features, remember your preferences, and display relevant content, including relevant advertising. To accept or decline all non-essential cookies, choose “Accept” or “Decline.” To make more detailed choices, choose “Customize.”
Customize cookie preferences
We use cookies and similar tools (collectively, "cookies") for the following purposes.
Essential
Essential cookies are necessary to provide our site and services and cannot be deactivated. They are usually set in response to your actions on the site, such as setting your privacy preferences, signing in, or filling in forms.
Performance
Performance cookies provide anonymous statistics about how customers navigate our site so we can improve site experience and performance. Approved third parties may perform analytics on our behalf, but they cannot use the data for their own purposes.
Allowed
Functional
Functional cookies help us provide useful site features, remember your preferences, and display relevant content. Approved third parties may set these cookies to provide certain site features. If you do not allow these cookies, then some or all of these services may not function properly.
Allowed
Advertising
Advertising cookies may be set through our site by us or our advertising partners and help us deliver relevant marketing content. If you do not allow these cookies, you will experience less relevant advertising.
Allowed
Blocking some types of cookies may impact your experience of our sites. You may review and change your choices at any time by selecting Cookie preferences in the footer of this site. We and selected third-parties use cookies or similar technologies as specified in the AWS Cookie Notice.
Your privacy choices
We display ads relevant to your interests on AWS sites and on other properties, including cross-context behavioral advertising. Cross-context behavioral advertising uses data from one site or app to advertise to you on a different company’s site or app.
To not allow AWS cross-context behavioral advertising based on cookies or similar technologies, select “Don't allow” and “Save privacy choices” below, or visit an AWS site with a legally-recognized decline signal enabled, such as the Global Privacy Control. If you delete your cookies or visit this site from a different browser or device, you will need to make your selection again. For more information about cookies and how we use them, please read our AWS Cookie Notice.
El contenido no se encuentra disponible en el idioma seleccionado. Trabajamos continuamente para proveer nuestro contenido en dicho idioma. Agradecemos su comprensión.
AWS Fargate is a serverless, pay-as-you-go compute engine that lets you focus on building applications without managing servers. It is compatible with both Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS). AWS Fargate makes it easy to scale and manage cloud applications by shifting as much management of the underlying infrastructure resources to AWS so development teams can focus on writing code that solve business problems. Moving tasks such as server management, resource allocation, and scaling to AWS does not only improve your operational posture, but also accelerates the process of going from idea to production on the cloud and lowers the total cost of ownership (TCO).
AWS Fargate manages capacity needs, operating system (OS) updates, compliance requirements, resiliency, and more, freeing you to focus on applications, not servers. Deploy any OCI compliant container image to AWS Fargate and move the undifferentiated heavy lifting of managing the underlying infrastructure to AWS.
Serverless compute for stateful workloads
For customers running stateful workload in containers, you can leverage Amazon EFS with AWS Fargate to externalize data outside of your application.
Virtualization boundary for containerized workloads
For sensitive, multi-tenant, or regulated containerized workloads, AWS Fargate provides a secure virtualization boundary between every Amazon ECS task or Amazon EKS pod. Each task / pod is deployed on to a dedicated single use, single tenant piece of compute, providing secure isolation between workloads.
Secure and monitor network traffic with Amazon Virtual Private Networks (VPC)
AWS Fargate connects applications to existing investments in Virtual Private Networks (VPC), providing load balancing, segmentation through VPC security groups, and traffic monitoring with VPC Flow Logs. For client-based routing and out of the box traffic observability, workloads can be configured with Amazon ECS Service Connect for inter-service communication.
Compliant foundation for regulated industries
For customers that need to run containerized workloads in regulated or controlled environments, AWS Fargate has been approved by numerous industry-standard compliance programs from HIPAA to PCI to FedRAMP, and is available in AWS GovCloud (US) regions.
Secure terminal access for debugging
To help with troubleshooting and debugging Amazon ECS Exec provides secure access to running containers without logging into SSH to underlying servers. Amazon ECS Exec commands are recorded for audit purposes in AWS CloudTrail and Amazon CloudWatch.
Modernize .NET applications for improved performance and utility
You can deploy .NET Framework applications with Windows Containers on Amazon ECS and AWS Fargate, providing a seamless deployment story, improved monitoring and observability, and removing the management and licensing expenses of maintaining Windows Server instances.
With AWS Fargate you pay by the task size and only for the time for which resources are consumed by the task. By adding a tag to Amazon ECS tasks, you can use AWS Cost Explorer to visualize costs, identify opportunities for savings, and provide granular per workload billing.
Flexible pricing models
Use Compute Savings Plans to lock in savings over one or three year increments, choose between On-Demand and Fargate Spot to blend cost and availability, and select AWS Graviton for improved cost-performance. AWS Compute Optimizer uses machine learning to analyze historical usage and provide recommendations on sizing tasks to reduce cost.