Apache Airflow might be a bit more popular than Amazon ECS. We know about 65 links to it since March 2021 and only 46 links to Amazon ECS. 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.
For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules. - Source: dev.to / 3 months ago
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows. Source: 6 months ago
Airflow is the most widely used and well-known tool for orchestrating data workflows. It allows for efficient pipeline construction, scheduling, and monitoring. - Source: dev.to / 6 months ago
AIRFLOW This is more of a library in my opinion, but Airflow has become an essential tool for scheduling in my work. All our ML training pipelines are ordered and scheduled with Airflow and it works seamlessly. The dashboard provided is also fantastic! Source: 7 months ago
I agree there are many options in this space. Two others to consider: - https://airflow.apache.org/ - https://github.com/spotify/luigi There are also many Kubernetes based options out there. For the specific use case you specified, you might even consider a plain old Makefile and incrond if you expect these all to run on a single host and be triggered by a new file... - Source: Hacker News / 7 months ago
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 / 3 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 / 9 months ago
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.
Microsoft Power Automate - Microsoft Power Automate is an automation platform that integrates DPA, RPA, and process mining. It lets you automate your organization at scale using low-code and AI.
Google Kubernetes Engine - Google Kubernetes Engine is a powerful cluster manager and orchestration system for running your Docker containers. Set up a cluster in minutes.
Make.com - Tool for workflow automation (Former Integromat)
OpenShift Container Platform - Red Hat OpenShift Container Platform is the secure and comprehensive enterprise-grade container platform based on industry standards, Docker and Kubernetes.