AWS Introduces Batch Support for AWS Fargate

AWS Introduces Batch Support for AWS Fargate

AWS Introduces Batch Support for AWS Fargate. During the first week of the annual re:invent, AWS introduced the ability to specify AWS Fargate as a computing resource for AWS Batch jobs. With the AWS Batch support for AWS Fargate, customers will have a way to run jobs on serverless compute resources.

During the first week of the annual re:invent, AWS introduced the ability to specify AWS Fargate as a computing resource for AWS Batch jobs. With the AWS Batch support for AWS Fargate, customers will have a way to run jobs on serverless compute resources, fully-managed from job submission to completion.

AWS first introduced AWS Batch back in December 2016 as a fully managed batch computing service that enables developers, scientists, and engineers to quickly and efficiently run hundreds of thousands of batch computing jobs on AWS. With AWS Batch, customers no longer had to do the heavy lifting of batch workload management by creating compute environments, managing queues, and launching the appropriate compute resources for their jobs.

With the integration of AWS Batch with Fargate, users can run compute-intensive workloads such as ML inference, map-reduce analysis, and other batch workloads without spending time on image maintenance and right-sizing of compute and monitoring. By selecting Fargate or Fargate Spot as a compute resource type in Batch, submitting a Fargate-compatible job definition, users can immediately benefit from the serverless computing engine. With Fargate, every job receives the exact amount of CPU and memory that it requests (within allowed Fargate SKUs); hence, there is no wasted resource time or need to wait for EC2 instance launches.

amazon amazon web services cloud aws aws fargate

What is Geek Coin

What is GeekCash, Geek Token

Best Visual Studio Code Themes of 2021

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

7 Reasons to Choose AWS as Your Cloud Platform

Amazon Web Services are widely used for cloud computing across the globe. While there are other platforms like Google Cloud, DigitalOcean, Heroku, and more, we will see the AWS benefits that make it stand out in the industry.These 7 reasons make AWS one of the best cloud platforms for your enterprise.

Best Cloud Computing (AWS) Development Company

Develop highly scalable apps on Amazon Cloud Services in India. Mobile App Development India Offers Amazon cloud web services (AWS) for app development, database storage solution, hosting solution etc.

Multi-cloud Spending: 8 Tips To Lower Cost

Mismanagement of multi-cloud expense costs an arm and leg to business and its management has become a major pain point. Here we break down some crucial tips to take some of the management challenges off your plate and help you optimize your cloud spend.

Top 10 AWS Cloud Migration Tools and Services

Take a look at some of the top cloud migration services you can use to migrate your services from on-premises to AWS Cloud. You need to understand the general terms of this field.

AWS Fargate for Amazon Elastic Kubernetes Service | Caylent

Easily run Kubernetes-based applications on AWS by leveraging AWS Fargate and Amazon Elastic Kubernetes Service together. Learn more here.