Based on our record, Luigi should be more popular than Azure Container Instances. It has been mentiond 9 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.
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 / 8 months ago
Maybe if your use case is “smallish” and doesn’t require the whole studio suite you could check out apscheduler for doing python “tasks” on a schedule and luigi to build pipelines. Source: almost 2 years ago
What are you trying to do? Distributed scheduler with a single instance? No database? Are you sure you don't just mean "a scheduler" ala Luigi? https://github.com/spotify/luigi. - Source: Hacker News / almost 2 years ago
It's good to know what Airflow is not the only one on the market. There are Dagster and Spotify Luigi and others. But they have different pros and cons, be sure that you did a good investigation on the market to choose the best suitable tool for your tasks. - Source: dev.to / over 2 years ago
MLOps is a HUGE area to explore, and not surprisingly, there are many startups showing up in this space. If you want to get it on the latest trends, then I would look at workflow orchestration frameworks such as Metaflow (started off at Netflix, is now spinning off into its own enterprise business, https://metaflow.org/), Kubeflow (used at Google, https://www.kubeflow.org/), Airflow (used at Airbnb,... Source: about 2 years ago
Https://azure.microsoft.com/en-us/products/container-instances and as /u/re-thc posted, GKE Autopilot can be that for Google Cloud. Source: about 1 year ago
Containerize and deploy the application using one of the container delivery services on Azure like App Services, Container Instances, or Kubernetes Services. - Source: dev.to / over 1 year ago
Apache APISIX is an open-source Microservice API gateway and platform designed for managing microservices requests of high availability, fault tolerance, and distributed system. You can install Apache APISIX by the different methods (Docker, Helm, or RPM) and run it in the various public cloud providers because of its cloud-native behavior. In this post, you will learn how easily run Apache APISIX API Gateway in... - Source: dev.to / almost 2 years ago
Yeah datafactory isn’t appropriate for this task. There are custom df tasks you can script up in c# but doesn’t help you here. You have a couple of options but I would suggest azure container instances given your constraints. If you want to orchestrate it using the rest call option in df and long polling then status is the best but you can use logic app as well. ACI is serverless in the sense you maintain no... Source: about 2 years ago
Azure Container Instances may be your best fit: https://azure.microsoft.com/en-us/services/container-instances/. Source: almost 3 years ago
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
Metaflow - Framework for real-life data science; build, improve, and operate end-to-end workflows.
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.
Azkaban - Azkaban is a batch workflow job scheduler created at LinkedIn to run Hadoop jobs.
Apache Mesos - Apache Mesos abstracts resources away from machines, enabling fault-tolerant and elastic distributed systems to easily be built and run effectively.