Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://docs.aws.amazon.com/AmazonECS/latest/developerguide/ecs-arm64.html below:

Amazon ECS task definitions for 64-bit ARM workloads

Amazon ECS supports using 64-bit ARM applications. You can run your applications on the platform that's powered by AWS Graviton Processors. It's suitable for a wide variety of workloads. This includes workloads such as application servers, micro-services, high-performance computing, CPU-based machine learning inference, video encoding, electronic design automation, gaming, open-source databases, and in-memory caches.

Before you begin deploying task definitions that use the 64-bit ARM architecture, consider the following:

• The applications can use the Fargate or EC2 launch types.

• The applications can only use the Linux operating system.

• For the Fargate type, the applications must use Fargate platform version 1.4.0 or later.

• The applications can use Fluent Bit or CloudWatch for monitoring.

• For the Fargate launch type, the following AWS Regions do not support 64-bit ARM workloads:

  • US East (N. Virginia), the use1-az3 Availability Zone

• For the Amazon EC2 launch type, see the following to verify that the Region that you're in supports the instance type you want to use:

  You can also use the Amazon EC2 describe-instance-type-offerings command with a filter to view the instance offering for your Region.

  aws ec2 describe-instance-type-offerings --filters Name=instance-type,Values=instance-type --region region

  The following example checks for the M6 instance type availability in the US East (N. Virginia) (us-east-1) Region.

  aws ec2 describe-instance-type-offerings --filters "Name=instance-type,Values=m6*" --region us-east-1

  For more information, see describe-instance-type-offerings in the Amazon EC2 Command Line Reference.

Specifying deep learning in a task definition

Specifying the ARM architecture in a task definition

Did this page help you? - Yes

Thanks for letting us know we're doing a good job!

If you've got a moment, please tell us what we did right so we can do more of it.

Did this page help you? - No

Thanks for letting us know this page needs work. We're sorry we let you down.

If you've got a moment, please tell us how we can make the documentation better.

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4