Based on our record, Puppet should be more popular than Metaflow. It has been mentiond 30 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.
Prior the repositories have been handed over from Puppet Inc to Puppet Community, the container images were using the Puppet server and PuppetDB versions, which were used inside the container. - Source: dev.to / 4 months ago
There was still some confusion between Devs and the Ops folks with their tasks, and even though the word ‘DevOps’ was popping up here and there, it wasn’t used as a concrete methodology/practice in organizations. Hence, during this phase, the focus shifted from merely merging teams to fostering a cultural change emphasizing collaboration, shared responsibility, and continuous improvement. Automation played a... - Source: dev.to / 11 months ago
Had an itch I've been meaning to scratch for a while. I build my Puppet environment using Terraform, which makes it nice and easy to tear things down and rebuild them. That is great, but it does leave me with an issue when it comes to the console SSL certificates. - Source: dev.to / about 1 year ago
Hi friend! This sub is for the configuration management tool, Puppet. You may be looking for r/puppetry or r/puppeteer. Source: over 1 year ago
What a pleasant surprise - but this was the wrong subreddit. You might have better luck on /r/puppets - this subreddit is for the configuration tool https://puppet.com/. Source: over 1 year 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
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Konfigure - APARTMENTS | VILLA | WORKSPACE | RETAIL
Luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs.
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