aws-serverless-scheduler
prefect-deployment-patterns
| aws-serverless-scheduler | prefect-deployment-patterns | |
|---|---|---|
| 1 | 1 | |
| 10 | 93 | |
| - | - | |
| 10.0 | 0.0 | |
| over 1 year ago | over 1 year ago | |
| Python | Python | |
| - | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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-serverless-scheduler
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AWS open source newsletter, #135
aws-serverless-scheduler this repo from Agus Marchi is a fork of a similar project (aws-scheduler) but with a narrower focus, scheduling webhook-related tasks. How does it work? The docs have you covered, but to schedule a trigger you have to publish an event (format spec is provided in the docs). There are some limitations to check out, but if you are looking for a way to schedule large amounts of point in time events with a great time precision, and they are webhook related, then this is a project for you my friend.
prefect-deployment-patterns
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[D] Should I go with Prefect, Argo or Flyte for Model Training and ML workflow orchestration?
Have you used infrastructure blocks in Prefect? You could easily build a block for Sagemaker deploying infrastructure for the flow running with GPUs, then run other flow in a local process, yet another one as Kubernetes job, Docker container, ECS task, AWS batch, etc. Super easy to set up, even from the UI or from CI/CD. There are a bunch of templates and examples here: https://github.com/anna-geller/prefect-deployment-patterns
What are some alternatives?
tutor-scheduler-django - A Django web app for scheduling peer tutor sessions in Boarding Schools' Academic Resource Center
Taipy - Turns Data and AI algorithms into production-ready web applications in no time.
chalice - Python Serverless Microframework for AWS
Udacity-Data-Engineering-Projects - Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development.
Zappa - Serverless Python
buildflow - BuildFlow, is an open source framework for building large scale systems using Python. All you need to do is describe where your input is coming from and where your output should be written, and BuildFlow handles the rest. No configuration outside of the code is required.
AWS-serverless-starter - AWS Lambda serverless stack via Serverless framework
weather_data_pipeline - This is a PySpark-based data pipeline that fetches weather data for a few cities, performs some basic processing and transformation on the data, and then writes the processed data to a Google Cloud Storage bucket and a BigQuery table.The data is then viewed in a looker dashboard
fastapi-serverless-aws-backend-service - FastAPI python backend server with multi-stage CI/CD deployment
canarypy - CanaryPy - A light and powerful canary release for Data Pipelines
Zappa - Serverless Python
f1-data-pipeline - F1 Data Pipeline