Category: AWS Fargate

Many customers prefer to use Docker images with AWS Batch and AWS Cloudformation for cost-effective and faster processing of complex jobs. To run batch workloads in the cloud, customers have to consider various orchestration needs, such as queueing workloads, submitting to a compute resource, prioritizing jobs, handling dependencies and retries, scaling compute, and tracking utilization […]

Building an Apache Kafka data processing Java application using the AWS CDK Piotr Chotkowski, Cloud Application Development Consultant, AWS Professional Services Using a Java application to process data queued in Apache Kafka is a common use case across many industries. Event-driven and microservices architectures, for example, often rely on Apache Kafka for data streaming and […]

In a previous AWS Blog, I shared an application orchestration process to run Amazon Elastic Container Service (Amazon ECS) Tasks on AWS Fargate using AWS Step Functions. This blog will be similar continuation but here we will be running the same application on Amazon EKS as a Kubernetes job on Fargate using StepFunctions. Amazon EKS […]

In our previous blog, we showed you how to build a Microsoft.NET Web API application with Amazon Aurora Database using AWS CloudFormation. In this blog, we will leverage the development capabilities of defining cloud infrastructure as code using AWS Cloud Development Kit (AWS CDK) which provisions it through AWS CloudFormation. The AWS CDK is an open source […]

AWS is happy to announce that the aws-rails-provisioner gem for Ruby is now in developer preview and available for you to try! What is aws-rails-provisioner? The new aws-rails-provisioner gem is a tool that helps you define and deploy your containerized Ruby on Rails applications on AWS. It currently only supports AWS Fargate. aws-rails-provisioner is a […]