Fine-Grained Access Control is supported by AWS Batch now

AWS Batch allows developers, scientists, and engineers to simply and efficiently execute hundreds of batch computing jobs on AWS to configure resources and schedule data analytics workloads. AWSBatch enables you to define execution parameters, job dependencies, and facilitates integration with a wide scale of famous batch computing workflow engines and languages like Pegasus WMS, Luigi, and AWS Step Functions. You can submit your code for your batch job by using AWS Management Console, CLIs, or SDKs with the help of AWS Batch. AWS Batch plans, schedules, and runs your batch computing workloads over the entire scale of AWS compute services and features, like Amazon EC2 and Spot Instances. AWS Batch gives default job queues and compute domain definitions which allows you to start rapidly. You do not require to install and handle batch computing software or server bunch which you utilize to execute your jobs, granting you to concentrate on analyzing results and solving problems.

Upgraded Identity and Access Management (IAM)-based fine-grained access controls is now supported by the AWS Batch. IAM-based controls allows administrators to link Portable Operating System Interface (POSIX) controls with their IAM users in AWS Batch. Besides POSIX support, administrators can write IAM policies which handle ingress to Job Definitions and Job Queues when submitting Jobs to AWS Batch. For more information on AWS Batch, click here.