AWS Compute Blog

Category: AWS Batch

Visualizing AWS Step Functions workflows from the AWS Batch console

This post written by Dhiraj Mahapatro, Senior Specialist SA, Serverless. AWS Step Functions is a low-code visual workflow service used to orchestrate AWS services, automate business processes, and build serverless applications. Step Functions workflows manage failures, retries, parallelization, service integrations, and observability so builders can focus on business logic. AWS Batch is one of the […]

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API Gateway caching

Building well-architected serverless applications: Optimizing application performance – part 3

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. This series of blog posts uses the AWS Well-Architected Tool with the Serverless Lens to help customers build and operate applications using best practices. In each post, I address the serverless-specific questions identified by the Serverless Lens along with the recommended best practices. See […]

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High-level diagram showing event flow

How to authenticate private container registries using AWS Batch

This post was contributed by Clayton Thomas, Solutions Architect, AWS WW Public Sector SLG Govtech. Many AWS Batch users choose to store and consume their AWS Batch job container images on AWS using Amazon Elastic Container Registries (ECR). AWS Batch and Amazon Elastic Container Service (ECS) natively support pulling from Amazon ECR without any extra […]

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Introducing Spot Blueprints, a template generator for frameworks like Kubernetes and Apache Spark

This post is authored by Deepthi Chelupati, Senior Product Manager for Amazon EC2 Spot Instances, and Chad Schmutzer, Principal Developer Advocate for Amazon EC2 Customers have been using EC2 Spot Instances to save money and scale workloads to new levels for over a decade. Launched in late 2009, Spot Instances are spare Amazon EC2 compute […]

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Introducing retry strategies for AWS Batch

This post is contributed by Christian Kniep, Sr. Developer Advocate, HPC and AWS Batch. Scientists, researchers, and engineers are using AWS Batch to run workloads reliably at scale, and to offload the undifferentiated heavy lifting in their day-to-day work. But even with a slight chance of failure in the stack, the act of mitigating these […]

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DCV Client connected to a running session

How to run 3D interactive applications with NICE DCV in AWS Batch

This post is contributed by Alberto Falzone, Consultant, HPC and Roberto Meda, Senior Consultant, HPC. High Performance Computing (HPC) workflows across industry verticals such as Design and Engineering, Oil and Gas, and Life Sciences often require GPU-based 3D/OpenGL rendering. Setting up drivers and applications for these types of workflows can require significant effort. Similar GPU […]

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application using AWS Batch

Orchestrating an application process with AWS Batch using AWS CloudFormation

This post is written by Sivasubramanian Ramani In many real work applications, you can use custom Docker images with AWS Batch and AWS CloudFormation to execute complex jobs efficiently.   This post provides a file processing implementation using Docker images and Amazon S3, AWS Lambda, Amazon DynamoDB, and AWS Batch. In this scenario, the user […]

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