cherry-on-py
buildpacks
cherry-on-py | buildpacks | |
---|---|---|
1 | 6 | |
75 | 938 | |
- | 0.3% | |
0.0 | 9.2 | |
about 1 year ago | 5 days ago | |
Python | 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.
cherry-on-py
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🎨 Image processing as a service 🐍
Check out the source code on GitHub.
buildpacks
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How do you run scheduled tasks in Google Cloud without the 10 minute cutoff?
You're better off using Cloud Run. In some ways, it's easier than App Engine. You can use a buildpack (blog, blog, GitHub) to automatically build a docker image with Go using the code you provide. You can then configure Cloud Run to allow up to 60 minutes of time per invocation.
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Deploy Node app to GCR without Docker?
Under the covers this uses Google Buildpacks to create a container image from your app: https://github.com/GoogleCloudPlatform/buildpacks
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🎨 Image processing as a service 🐍
Cloud Build is indirectly called to containerize your app. One of its core components is Google Cloud Buildpacks, which automatically builds a production-ready container image from your source code. Here are the main steps:
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Build containers without using Docker
This explicitly uses the Buildpacks provided by Google. You can find more information about these on Github
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Insight on the cloud function environment?
The function is containerized using Google Cloud buildpacks.
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I am not sure what I should expect for a developer test environment for my new job.
As for being able to run your own instance of things in isolation, that really depends on the fidelity you want. Firebase has an emulator you could use, and Cloud Functions/AppEngine can be built into docker images locally using the public buildpacks (but won't have the full suite of attached services), but I'd probably recommend good service mocks/stubs/fakes your services plus a pipeline that spins up a full project with Terraform, runs integration tests, then tears it down for e2e testing.
What are some alternatives?
PySceneDetect - :movie_camera: Python and OpenCV-based scene cut/transition detection program & library.
dockerfile-samples - Dockerfile samples to make your life easier
pytorch-toolbelt - PyTorch extensions for fast R&D prototyping and Kaggle farming
kaniko - Build Container Images In Kubernetes
shot_matcher - Blender add-on: match colors between images for compositing
faas-cli - Official CLI for OpenFaaS
content-analysis-on-aws - As of August 30, 2023, this AWS Solution is no longer available. Existing deployments will continue to run. The functionality provided by Content Analysis on AWS will be superseded with functionality in Media2Cloud on AWS and Content Localization on AWS. We encourage you to explore these solutions.
dbmate - :rocket: A lightweight, framework-agnostic database migration tool.
asciiclip - CLI tool that applies an ASCII filter to video or image.