aws-cli
metaflow
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aws-cli | metaflow | |
---|---|---|
48 | 24 | |
14,885 | 7,586 | |
1.3% | 2.5% | |
9.8 | 9.2 | |
about 11 hours ago | 2 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
aws-cli
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Top 10 CLI Tools for DevOps Teams
The AWS CLI is a must-have tool if your team relies on Amazon Web Services. It lets you effortlessly interact with AWS services, orchestrate resource management, and automate tasks from the comfort of your terminal. Once you get used to the tool, you'll notice how convenient and quick it is to fit into your processes – especially compared to going through AWS's web-based user interface.
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My First Impressions of Nix
Just for your consideration, the network effect is very real with package managers, too:
https://search.nixos.org/packages?channel=23.05&show=awscli2 is 2.11.27 (even on the "unstable" channel), versus https://formulae.brew.sh/formula/awscli#default that is 2.12.1, which correctly is the most current (https://github.com/aws/aws-cli/tags)
- It is not possible to install ARM64 AWS CLI
- [Engineering_Stuff] S3FS-FUSE - Permet de monter votre lien de seau S3 / Minio vers votre répertoire local
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s3fs-fuse - allows to mount your s3/minio bucket link to your local directory
s3fs allows Linux, macOS, and FreeBSD to mount an S3 bucket via FUSE(Filesystem in Userspace). s3fs makes you operate files and directories in S3 bucket like a local file system. s3fs preserves the native object format for files, allowing use of other tools like AWS CLI.
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AWS Announces Open Source Mountpoint for Amazon S3
AFAIK it's still a Python package: https://github.com/aws/aws-cli/tree/2.11.6
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AWS S3 storage class invalid - DEEP_ARCHIVE - why?
Check CLI version, it looks like the earliest version that had DEEP_ARCHIVE support was 1.16.133 (https://github.com/aws/aws-cli/commit/55efab102f774ef17bf51ad32e939e4e03a5ff8a)
- Can we run AWS CLI to generate reports for all regions?
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Event Based System with Localstack (Elixir Edition): Uploading files to S3 with PresignedURL's
And this is the init_localstack.sh file content, a unique thing about localstack its that you can move all strings like an aws-cli tool, also the container deletes all the content and config once the container stops, so the script file must create all the resources that you need from Localstack
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You can update phone number using CLI
It can? I created a pull request for this that hasn't been merged yet: https://github.com/aws/aws-cli/pull/6365
metaflow
- FLaNK Stack 05 Feb 2024
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metaflow VS cascade - a user suggested alternative
2 projects | 5 Dec 2023
- In Need of Guidance: Implementing MLOps in a Complex Organization as a Junior Data Engineer
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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
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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.
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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.
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[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 networks to downscale video.. Sound familiar? That’s cause that’s practically the same thing as Nvidia’s DLSS (which upscales instead of downscales).
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Model artifacts mess and how to deal with it?
Check out Metaflow by Netflix
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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.
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Small to Reasonable Scale MLOps - An Approach to Effective and Scalable MLOps when you're not a Giant like Google
It's undeniable that leadership is instrumental in any company and project success, however I was intrigued with one of their ML tool choices that helped them reach their goal. I was so curious about this choice that I just had to learn more about it, so in this article will be talking about a sound strategy of effectively scaling your AI/ML undertaking and a tool that makes this possible - Metaflow.
What are some alternatives?
rclone - "rsync for cloud storage" - Google Drive, S3, Dropbox, Backblaze B2, One Drive, Swift, Hubic, Wasabi, Google Cloud Storage, Yandex Files
flyte - Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
boto3 - AWS SDK for Python
zenml - ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.
SAWS - A supercharged AWS command line interface (CLI).
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
httpie - 🥧 HTTPie CLI — modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more.
kedro-great - The easiest way to integrate Kedro and Great Expectations
thefuck - Magnificent app which corrects your previous console command.
clearml - ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
aws-vault - A vault for securely storing and accessing AWS credentials in development environments
dvc - 🦉 ML Experiments and Data Management with Git