docs: case study on flint cloud #339
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This Pull Request has not seen any activity for the past 45 days. If this Pull Request would not see any further updates in the next 10 days, it would be automatically closed. Please tag a maintainer to have it reviewed and merged for you. We truly appreciate your contributions and would love to hear your thoughts on the same! |
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Thanks for raising a Pull Request! We at moja global appreciate your contributions. We capitalize on fostering a welcoming environment for all our contributors. This Pull Request was closed because it has been stalled for 10 days with no activity. If you would like to discuss it further, please reach out to a maintainer to have it opened and reviewed. We truly appreciate your contributions and would love to hear your thoughts on the same! |
aornugent
requested review from
derha,
Iheanacho-ai,
padmajabhol and
sarahhaggarty
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Nice one @Namyalg - sorry it's taken so long to review |
sarahhaggarty
requested changes
Oct 23, 2022
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Nice one @Namyalg! I've made some suggestions to fix typos, missing full stops, and suggest different wording.
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| FLINT Cloud is a project being developed to demonstrate the abilities of the [FLINT](https://docs.moja.global/en/master/FLINT/index.html) and its associated services on remote cloud resources. The project aims to build a continuous deployment pipeline to offer FLINT as a SaaS over cloud |
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Suggested change
| FLINT Cloud is a project being developed to demonstrate the abilities of the [FLINT](https://docs.moja.global/en/master/FLINT/index.html) and its associated services on remote cloud resources. The project aims to build a continuous deployment pipeline to offer FLINT as a SaaS over cloud | |
| FLINT Cloud is a project being developed to demonstrate the abilities of the [FLINT](https://docs.moja.global/en/master/FLINT/index.html) and its associated services on remote cloud resources. The project aims to build a continuous deployment pipeline that can offer FLINT as a SaaS over cloud. |
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| FLINT Cloud is a project being developed to demonstrate the abilities of the [FLINT](https://docs.moja.global/en/master/FLINT/index.html) and its associated services on remote cloud resources. The project aims to build a continuous deployment pipeline to offer FLINT as a SaaS over cloud | ||
| It provides an abstraction of the underlying implementation while offering the users a simple way to understand the functionality of the FLINT |
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| It provides an abstraction of the underlying implementation while offering the users a simple way to understand the functionality of the FLINT | |
| It provides an abstraction of the underlying implementation while offering the users a simple way to understand the functionality of the FLINT. |
| It provides an abstraction of the underlying implementation while offering the users a simple way to understand the functionality of the FLINT | ||
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| ## Why is it needed? | ||
| - Today, remote cloud resources are extremely accessible. Providers like Amazon, Google, and Microsoft offer great flexibility and scalability. They also offer very generous free tiers, which will allow users to perform smaller runs. |
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Suggested change
| - Today, remote cloud resources are extremely accessible. Providers like Amazon, Google, and Microsoft offer great flexibility and scalability. They also offer very generous free tiers, which will allow users to perform smaller runs. | |
| - Today, remote cloud resources are extremely accessible. Providers like Amazon, Google, and Microsoft offer great flexibility and scalability. They also offer very generous free tiers that allow users to perform smaller runs. |
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| ## Why is it needed? | ||
| - Today, remote cloud resources are extremely accessible. Providers like Amazon, Google, and Microsoft offer great flexibility and scalability. They also offer very generous free tiers, which will allow users to perform smaller runs. | ||
| - Thus, in deploying the FLINT on remote cloud resources the main objective is to increase ease of use and reduce the dependency on local systems, configurations, etc |
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Suggested change
| - Thus, in deploying the FLINT on remote cloud resources the main objective is to increase ease of use and reduce the dependency on local systems, configurations, etc | |
| - Thus, in deploying the FLINT on remote cloud resources, the main objective is to increase ease of use and reduce the dependency on local systems, configurations, etc. |
| ## Why is it needed? | ||
| - Today, remote cloud resources are extremely accessible. Providers like Amazon, Google, and Microsoft offer great flexibility and scalability. They also offer very generous free tiers, which will allow users to perform smaller runs. | ||
| - Thus, in deploying the FLINT on remote cloud resources the main objective is to increase ease of use and reduce the dependency on local systems, configurations, etc | ||
| - Developers experienced with the FLINTcloud framework will be able to support existing users with CI/CD pipelines, simplify model development and deployment, and leverage auto-scaling for large FLINT runs. |
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Suggested change
| - Developers experienced with the FLINTcloud framework will be able to support existing users with CI/CD pipelines, simplify model development and deployment, and leverage auto-scaling for large FLINT runs. | |
| - Developers who are already experienced with the FLINT cloud framework will be able to support existing users with building CI/CD pipelines, simplifying model development and deployment, and leveraging auto-scaling for large FLINT runs. |
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| ## Architecture | ||
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| The FLINT is a CLI-based tool. In order to move it into a cloud-based environment, it is packaged into a web server making the use of RESTful API. |
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| The FLINT is a CLI-based tool. In order to move it into a cloud-based environment, it is packaged into a web server making the use of RESTful API. | |
| The FLINT is a CLI-based tool. In order to move it into a cloud-based environment, it is packaged into a web server by using RESTful API. |
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| The FLINT is a CLI-based tool. In order to move it into a cloud-based environment, it is packaged into a web server making the use of RESTful API. | ||
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| A wrapper REST API is created to provide the different endpoints which point to the different operations of the CLI tool. The functionality of the FLINT and GCBM examples are provided through REST APIs written in Flask. |
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Suggested change
| A wrapper REST API is created to provide the different endpoints which point to the different operations of the CLI tool. The functionality of the FLINT and GCBM examples are provided through REST APIs written in Flask. | |
| A wrapper REST API is created to provide the different endpoints that point to the different operations of the CLI tool. The functionality of the FLINT and GCBM examples are provided through REST APIs written in Flask. |
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| ## Significance of FLINT Cloud in the ecosystem | ||
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| The development of the FLINT Cloud project has been instrumental in leading to the development of projects like [FLINT-UI](https://github.com/moja-global/FLINT-UI) and Data-driven integration with [CML and DVC](https://cml.dev/). The goal of DVC is to bring agility, reproducibility, and collaboration into existing data science workflows. |
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| The development of the FLINT Cloud project has been instrumental in leading to the development of projects like [FLINT-UI](https://github.com/moja-global/FLINT-UI) and Data-driven integration with [CML and DVC](https://cml.dev/). The goal of DVC is to bring agility, reproducibility, and collaboration into existing data science workflows. | |
| The development of the FLINT Cloud project has been instrumental in the development of projects like [FLINT-UI](https://github.com/moja-global/FLINT-UI) and data-driven integration with [Data version control (DVC) and software Continuous Machine Learning (CML)](https://cml.dev/). The goal of DVC is to bring agility, reproducibility, and collaboration into existing data science workflows. |
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| The development of the FLINT Cloud project has been instrumental in leading to the development of projects like [FLINT-UI](https://github.com/moja-global/FLINT-UI) and Data-driven integration with [CML and DVC](https://cml.dev/). The goal of DVC is to bring agility, reproducibility, and collaboration into existing data science workflows. | ||
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| FLINT-UI is a frontend interface written in Vue to interact with the FLINT Cloud APIs. This allows people from various technical and non-technical backgrounds to interact with the web application, run simulations and visualize results |
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| FLINT-UI is a frontend interface written in Vue to interact with the FLINT Cloud APIs. This allows people from various technical and non-technical backgrounds to interact with the web application, run simulations and visualize results | |
| FLINT-UI is a frontend interface written in Vue to interact with the FLINT Cloud APIs. This allows people from various technical and non-technical backgrounds to interact with the web application, run simulations and visualize results. |
| FLINT-UI is a frontend interface written in Vue to interact with the FLINT Cloud APIs. This allows people from various technical and non-technical backgrounds to interact with the web application, run simulations and visualize results | ||
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| The second project is based on the concepts of reproducible science. | ||
| Data version control (DVC) and software Continuous Machine Learning (CML) provide a framework to continuously reproduce analyses using Github Actions as well as saving the output of the configuration phase to reuse for subsequent builds. The basic idea is to track the inputs provided to the model and monitor the outputs generated in various simulations over time. Though this feature isn’t natively required for the FLINT cloud project, it provides users with a way to incorporate them in their implementations. |
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Suggested change
| Data version control (DVC) and software Continuous Machine Learning (CML) provide a framework to continuously reproduce analyses using Github Actions as well as saving the output of the configuration phase to reuse for subsequent builds. The basic idea is to track the inputs provided to the model and monitor the outputs generated in various simulations over time. Though this feature isn’t natively required for the FLINT cloud project, it provides users with a way to incorporate them in their implementations. | |
| DVC and software CML provide a framework to continuously reproduce analyses using GitHub Actions as well as saving the output of the configuration phase for reuse in subsequent builds. The basic idea is to track the inputs provided to the model and monitor the outputs generated in various simulations over time. Though this feature isn’t natively required for the FLINT cloud project, it provides users with a way to incorporate them in their implementations. |
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Hey @sarahhaggarty |
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This Pull Request has not seen any activity for the past 45 days. If this Pull Request would not see any further updates in the next 10 days, it would be automatically closed. Please tag a maintainer to have it reviewed and merged for you. We truly appreciate your contributions and would love to hear your thoughts on the same! |
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I will continue to work on this, and will possibly finish this by next weekend! |
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Pull Request Template
Description
This PR is a Case study on FLINT Cloud
Fixes #338
Case study preview : https://contributor-website-v2-git-fork-namyalg-flin-45222d-moja-global.vercel.app/case-studies/flint-cloud
Type of change
cc : @aornugent @shubhamkarande13 @chicken-biryani @HarshCasper