Metaflow Reviews

Amazon AWS Reviews

1. macloughlin

   | AV engineer | 10 months ago
   The best cloud platform out there

   You could say a lot of things about AWS, but among the cloud platforms (and I've used quite a few) AWS takes the cake. It is logically structured, you can get through its documentation relatively easily, you have a great variety of tools and services to choose from [from AWS itself and from third-party developers in their marketplace]. There is a learning curve, there is quite a lot of it, but it is still way easier than some other platforms. I've used and abused AWS and EC2 specifically and for me it is the best.

   👍 Pros:    Great documentation|Website structure visualization|You have control over everything|Flexibility

   👎 Cons:    Learning curve|A lot of dashboards for different things

Metaflow mentions (12)

• What are some open-source ML pipeline managers that are easy to use?

  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

• Needs advice for choosing tools for my team. We use AWS.

  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

• Selfhosted chatGPT with local contente

  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: over 1 year ago

• [OC] Gender diversity in Tech companies

  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

• Going to Production with Github Actions, Metaflow and AWS SageMaker

  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 / almost 2 years ago

Amazon AWS mentions (370)

• How to Setup a Project That Can Host Up to 1000 Users for Free

  Heroku runs on top of Amazon Web Services (AWS). Key benefits for me are:. - Source: dev.to / 6 days ago

• Top External Email Providers for Your Strapi Application

  First navigate to AWS at - https://aws.amazon.com create an account and then on the dashboard search for Amazon SES, click get started and then you should be directed to a dashboard like this. - Source: dev.to / 6 days ago

• AWS ParallelCluster High-Performance Computing for Software Developers

  AWS Account Setup: If you don't have one, you can create a free account. - Source: dev.to / 10 days ago

• Best Hosting Options for Developers in 2024

  Amazon Web Services is a leading cloud platform offering a vast array of services, from compute and storage to machine learning and IoT. AWS is known for its scalability, handling anything from small projects to enterprise-level applications. - Source: dev.to / 16 days ago

• Deploy a Static React Site Using AWS S3 and CloudFront

  In this tutorial, I will walk you through building a quick static site by doing a static build using ReactJS & create-react-app, then show you how to deploy that static site on AWS using S3 buckets as well as how to cache it & add SSL certificates with CloudFront CDN & Certificate Manager. - Source: dev.to / 16 days ago