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Based on our record, Amazon ECS should be more popular than Apache Camel. It has been mentiond 46 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
In this article, a WEB application using the latest version of Angular in a built Docker image will be hosted on Amazon EC2 (Elastic Compute Cloud) and deployed by Amazon ECS (Elastic Container Service) using an Amazon ECR (Elastic Container Registry) containers repository. - Source: dev.to / 2 months ago
You can use this in a couple of ways on AWS including with the Elastic Container Service (ECS) https://aws.amazon.com/ecs/ or within an Elastic Kuberneters Service (EKS) cluster. When used with EKS you will need to have an always on EKS control plane which will cost you money. - 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
Amazon Elastic Container Service (ECS) is a fully managed container orchestration service that helps you to deploy, manage, and scale containerized applications. ECS provides a simple way to run Docker containers on AWS, without the need to set up and manage your own container infrastructure. - Source: dev.to / 5 months ago
After the image has been uploaded to the created ECR repository, the terraform script which will be used to deploy the container on Amazon Elastic Container service Amazon ECS is then created. - Source: dev.to / 10 months ago
"correct" is a value judgement that depends on lots of different things. Only you can decide which tool is correct. Here are some ideas: - https://camel.apache.org/ - https://www.windmill.dev/ Your idea about a queue (in redis, or postgres, or sqlite, etc) is also totally valid. These off-the-shelf tools I listed probably wouldn't give you a huge advantage IMO. - Source: Hacker News / 8 months ago
This reminds me more of Apache Camel[0] than other things it's being compared to. > The process initiator puts a message on a queue, and another processor picks that up (probably on a different service, on a different host, and in different code base) - does some processing, and puts its (intermediate) result on another queue This is almost exactly the definition of message routing (ie: Camel). I'm a bit doubtful... - Source: Hacker News / about 1 year ago
Since you're writing a Java app to consume this, I highly recommend Apache Camel to do the consuming of messages for it. You can trivially aim it at file systems, message queues, databases, web services and all manner of other sources to grab your data for you, and you can change your mind about what that source is, without having to rewrite most of your client code. Source: over 1 year ago
For a simple sequential Pipeline, my goto would be Apache Camel. As soon as you want complexity its either Apache Nifi or a micro service architecture. Source: over 1 year ago
🐪 Apache Camel : Camel JBang, A JBang-based Camel app for easily running Camel routes. - Source: dev.to / over 1 year ago
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