Azure Container Service VS Amazon EMR

Azure Kubernetes Service (AKS) Azure Kubernetes Service (AKS) is a managed Kubernetes offering from Microsoft Azure. It enables users to deploy and manage containerized applications using Kubernetes without the need to manage the underlying infrastructure. AKS integrates with Azure services like Azure Container Registry, Azure Monitor, and Azure Active Directory, providing a comprehensive solution for deploying... - Source: dev.to / 3 months ago

Container Orchestration tools: These are used to automate the deployment, scaling, monitoring, and management of containerized applications. These tools simplify the complexities of managing and coordinating containers across a cluster of machines. They include Kubernetes, Docker Swarm, Amazon ECS, Microsoft AKS, Google Kubernetes Engine (GKE), etc. - Source: dev.to / 4 months ago

When you want the "full" Nuxt experience, you will need to host the Node.js process. This can be done with Azure app service, Azure container instances, Azure container apps or even AKS. Source: 11 months ago

Microsoft recently announced the general availability release of AKS Edge Essentials, a new Azure Kubernetes Service (AKS) offering designed to simplify edge computing for developers and IT professionals. See InfoQ News item: https://www.infoq.com/news/2023/03/aks-edge-essentials-ga/. Source: about 1 year ago

UNIX is irrelevant on the cloud, unless one is stuck deploying legacy workloads on VMs, this is what we use in modern applications not stuck in the past. https://aws.amazon.com/eks/ https://azure.microsoft.com/en-us/products/kubernetes-service https://cloud.google.com/kubernetes-engine/ https://cloud.google.com/appengine https://azure.microsoft.com/en-us/products/app-service https://aws.amazon.com/lambda/... - Source: Hacker News / about 1 year ago

There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: about 1 year ago

I'm going to guess you want something like EMR. Which can take large data sets segment it across multiple executors and coalesce the data back into a final dataset. Source: almost 2 years ago

This is exactly the kind of workload EMR was made for, you can even run it serverless nowadays. Athena might be a viable option as well. Source: almost 2 years ago

Apache Spark is one of the most actively developed open-source projects in big data. The following code examples require that you have Spark set up and can execute Python code using the PySpark library. The examples also require that you have your data in Amazon S3 (Simple Storage Service). All this is set up on AWS EMR (Elastic MapReduce). - Source: dev.to / over 2 years ago

Check out https://aws.amazon.com/emr/. Source: about 2 years ago