Based on our record, Metaflow should be more popular than Azure Service Fabric. It has been mentiond 12 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.
For example, when you are using orchestrators like Kubernetes and Service Fabric periodically perform health checks and determine that a service/container is unhealthy, it stops routing requests to that instance. It also usually creates a new instance of that container. - Source: dev.to / almost 2 years ago
Azure Kubernetes Service, if you want a complete orchestration solution and if you need to manage your deployment and infrastructure. Azure Service Fabric for containers and services orchestration. Azure Compute, to build your own solution. - Source: dev.to / almost 2 years ago
I would recommend the following: - https://www.mage.ai/ - https://dagster.io/ - https://www.prefect.io/ - https://metaflow.org/ - https://zenml.io/home. Source: about 1 year ago
1) I've been looking into [Metaflow](https://metaflow.org/), which connects nicely to AWS, does a lot of heavy lifting for you, including scheduling. Source: about 1 year ago
Even for people who don't have an ML background there's now a lot of very fully-featured model deployment environments that allow self-hosting (kubeflow has a good self-hosting option, as do mlflow and metaflow), handle most of the complicated stuff involved in just deploying an individual model, and work pretty well off the shelf. Source: about 1 year ago
They had to figure out video compression that worked at the volume that they wanted to deliver. They had to build and maintain their own CDN to be able to have a always available and consistent viewing experience. Don’t even get me started on the resiliency tools like hystrix that they were kind enough to open source. I mean, they have their own fucking data science framework and they’re looking into using neural... Source: over 1 year ago
Github Actions, Metaflow and AWS SageMaker are awesome technologies by themselves however they are seldom used together in the same sentence, even less so in the same Machine Learning project. - Source: dev.to / over 1 year ago
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Helios - Docker container orchestration platform, by Spotify
Luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs.
SaltStack - SaltStack event-driven automation delivers security, cloud and configuration management for a software-defined world and enterprise complexity and scale.
Activeeon - ProActive Workflows & Scheduling is a java-based cross-platform workflow scheduler and resource manager that is able to run workflow tasks in multiple languages and multiple environments: Windows, Linux, Mac, Unix, etc.