Node.js Production Process Manager with a built-in Load Balancer.
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Updated
Jul 1, 2022 - JavaScript
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Node.js Production Process Manager with a built-in Load Balancer.
Native GraphQL Database with graph backend
A curated list of Site Reliability and Production Engineering resources.
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Open source permissions database inspired by Google Zanzibar
The checklist that is used when a project is going live
Staffjoy V1, aka "Suite" - a scheduling application for hundreds of workers
A tool to help you debug TransactionTooLargeExceptions on Android 7+
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
Loads environment variables from .env.[development|test|production][.local] files for Node.js® projects.
Ethereum contract for Bitcoin SPV: Live on https://etherscan.io/address/0x41f274c0023f83391de4e0733c609df5a124c3d4
A curated list of Site Reliability and Production Engineering Tools
Production Data Science: a workflow for collaborative data science aimed at production
Redux DevTools for production (web and React Native) with a highly flexible API.
Deploy and scale serverless machine learning app - in 4 steps.
Even if you’re the right typer, couldn’t hurt to use Typerighter!
We'd like to push the headline down on interview articles so that it no longer overlaps the main media. The aim is to have it sit below the main media, as it does on dotcom.
It would also be good to increase the gap between the headline and the standfirst on interviews; it looks a bit tight at the moment.
The "headline tag", the word "Interview" above the headline, overlaps the ma
Add a description, image, and links to the production topic page so that developers can more easily learn about it.
To associate your repository with the production topic, visit your repo's landing page and select "manage topics."
We need to support writing to and reading from TFRecord format.
Reference doc: https://www.tensorflow.org/tutorials/load_data/tfrecord
More on TypeTransfomers can be found here.
Related PR that adds PyTorch tensor and module as Flyte types: flyteorg/flytekit#1032