belfy
terraform-provider-iterative
| belfy | terraform-provider-iterative | |
|---|---|---|
| 8 | 24 | |
| 97 | 287 | |
| - | 0.3% | |
| 6.8 | 6.0 | |
| 3 months ago | 5 months ago | |
| TypeScript | Go | |
| Apache License 2.0 | 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.
belfy
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Show HN: A CLI to create your Node.js application's boilerplate
A CLI I'm working on that creates boilerplates and templates for various languages/frameworks now supports Node.js.
https://github.com/utopiops/utopiops
In case of Node.js, at this early stage, it supports Express frameworks, creates the folder structure, mongoose, passport.js, sets up git, linting and testing tool.
- A CLI to create your Node.js application's boilerplate
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Show HN: A CLI to kick-start any language
Also soon, you'll be able to deploy your applications to AWS with a single command.
Appreciate your feedbacks and all the contributions are welcome.
https://github.com/utopiops/utopiops
- A CLI to kick-start any language
- A CLI more than ng
- How to publish a package to npm
- A CLI more than CRA
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Ask HN: What license should I choose for my software?
I've been building a platform that is going to make DevOps work on any cloud 10x easier and faster, meaning you either won't need to deal with DevOps at all or you will do only the tiny part which is really specific to you.
I've managed to build a lot of the features I wanted and now I want to make it open-source/code available.
My question is what license is the best? Can I start with CC and move to MIT later?
https://github.com/utopiops/utopiops
terraform-provider-iterative
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Using Ansible to create Deep Learning VM
You should look at terraform, and at the provider from iterative, the guys begind DVC, https://registry.terraform.io/providers/iterative/iterative/latest/docs
- Terraform Provider for Machine Learning
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Terraform Provider Iterative (TPI) - a CLI tool offering full lifecycle management of computing resources from several cloud vendors (AWS, Azure, GCP, K8s) for machine learning
TPI tool offers full lifecycle management of computing resources (including GPUs and respawning spot instances) from several cloud vendors (AWS, Azure, GCP, K8s) without needing to be a cloud expert: Terraform Provider Iterative (TPI) - Terraform Registry
- Terraform plugin for machine learning workloads
- Terraform plugin for machine learning workloads: spot instance recovery and auto-termination on AWS, GCP, Azure, Kubernetes, on-premise, etc. - TPI
- Terraform Provider Iterative - open-source Python plugin for ML workloads: spot instance recovery and auto-termination on AWS, GCP, Azure, Kubernetes, on-premise, etc.
- TPI - Terraform open-source plugin for ML workloads: spot instance recovery and auto-termination on AWS, GCP, Azure, Kubernetes, on-premise, etc.
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Terraform plugin for ML workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetes
Terraform Provider Iterative (TPI) address the specific needs of machine learning teams - it is an open-source tool extending the functionality of Terraform, the world's most widely used multi-cloud provisioning product. The tool enables full lifecycle management of computing resources and is designed specifically for machine learning pipelines: Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetes
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Managing ML workloads automatically for spotting instance recovery and auto-termination - Terraform plugin for on-premise and top cloud providers - AWS, GCP, Azure, and others
TPI is a Terraform plugin built with machine learning in mind. This CLI tool offers full lifecycle management of computing resources (including GPUs and respawning spot instances) from several cloud vendors (AWS, Azure, GCP, K8s) without needing to be a cloud expert: Terraform Provider Iterative (TPI) - GitHub
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Monthly 'Getting into DevOps' thread - 2022/05
Hey all, we (at https://iterative.ai) just launched TPI - Terraform Provider Iterative: https://github.com/iterative/terraform-provider-iterative It was designed for machine learning (ML/AI) teams and optimizes CPU/GPU expenses.
What are some alternatives?
dora-metrics - Small backend project to calculate DORA Metrics
Terraform-Guide - Terraform Guide
cookiecutter - A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
salami - Infrastructure as Natural Language
cloud-functions-typescript-template - TypeScript template for Google Cloud Functions
cloud-service-broker - OSBAPI service broker that uses Terraform to provision and bind services. Derived from https://github.com/GoogleCloudPlatform/gcp-service-broker
Pulumi - Pulumi - Infrastructure as Code in any programming language. Build infrastructure intuitively on any cloud using familiar languages 🚀
carbonifer - Control carbon emission of your cloud infrastructure - Carbon-aware cloud infra
grucloud - Generate code and diagrams from cloud infrastructures: AWS, Azure, GCP, Kubernetes
tensordock-cli - TensorDock CLI Client
yeoman - Yeoman - a set of tools for automating development workflow
Grant - OAuth Proxy