geospatial-data-lake
aws-cdk
geospatial-data-lake | aws-cdk | |
---|---|---|
5 | 264 | |
32 | 11,177 | |
- | 0.9% | |
0.0 | 9.9 | |
about 1 year ago | 3 days ago | |
Python | TypeScript | |
MIT License | 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.
geospatial-data-lake
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A curated list of questionable installation instructions
One option is to trust on first use, checksum the installation script and at least casually verify the diff each time the checksum changes[1].
Pros:
- Protects against simple hijacking.
- Reproducible as long as the installer doesn't also call out to a moving target, such as example.com/releases/latest.
Cons:
- Build breaks as soon as the installer is bumped. If it's bumped often (or just before an important release) this can cause pain.
- TOFU may not be acceptable, but of course you could review the code thoroughly before even the first use.
[1] https://github.com/linz/geostore/blob/b3cd162605109da8a3a688...
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Ask HN: Good Python projects to read for modern Python?
I'd recommend a project from work, Geostore[1]. Highlights:
- 100% test coverage (with some typical exceptions like `if __name__ == "__main__":` blocks)
- Randomises test sequence and inputs reproducibly
- Passes Pylint with max McCabe complexity of 6
- Passes `mypy --strict`
- Formatted using Black and isort
[1] https://github.com/linz/geostore
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Python Best Practices for a New Project in 2021
The current work project[1] has all of these: Pyenv, Poetry, Pytest, pytest-cov with 100% branch coverage, pre-commit, Pylint rather than Flake8, Black, mypy (with a stricter configuration than recommended here), and finally isort. These are all super helpful.
There's also a simpler template repo[2] with almost all of these.
[1] https://github.com/linz/geostore/
[2] https://github.com/linz/template-python-hello-world
- Codecov bash uploader was compromised
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AWS CloudFormation Best Practices
As someone who's used CDK for a few months and never handcoded CF, that sounds completely correct. If you're comfortable with Python, here's a simple but non-trivial architecture you can check out: https://github.com/linz/geospatial-data-lake/blob/master/app....
aws-cdk
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Pyinfra: Automate Infrastructure Using Python
https://github.com/aws/aws-cdk#at-a-glance is the "generate cloudformation using code," and is the AWS version of troposphere as best I can tell
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Deploy Laravel API To AWS Lambda
environment: Specifies the environment variable that will be available to our Lambda function. In this case I wrote an environment for RDS Database. Anyway, later I will write about AWS CDK using Python for creating database clusters, etc.
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Building an Amazon Location Service Resources with AWS CDK and AWS CloudFormation
Today, I will show you how to build Amazon Location Service, which allows you to build location-based applications within your AWS environment using AWS Cloud Development Kit (AWS CDK) and AWS CloudFormation. I will also show examples of the recently popular CDK Migrate and AWS CloudFormation IaC generator.
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DevSecOps with AWS- IaC at scale - Building your own platform - Part 1
AWS Cloud Development Kit (CDK): is an open-source software development framework to define your cloud application resources using familiar programming languages.
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Cloud, why so difficult? 🤷♀️
I am not one to build programming languages on a whim. In fact, I've spent the last five years building the AWS CDK, which is a multi-language library that addresses some of the challenges I am talking about by allowing developers to define cloud infrastructure using their favorite programming language.
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Create a Next.js Server Component S3 Picture Uploader with SST
I recently started exploring SST as an alternative to my favorite full-stack set consisting of Projen, AWS CDK, and React. I have been thoroughly impressed with the experience so far. In this article, I will demonstrate how to create a Next.js App Router S3 Picture Uploader using SST.
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Starting My AWS Certification Journey as a Certified Cloud Practitioner
AWS CDK
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Cloud Garbage 🗑️
For KMS 🔑, Each key is ~$1/mo, and with CDK, keys are generated on a massive scale, if not centralized.
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Building Serverless Applications On AWS: A Practical Guide To Managing Event Processing
Here is a github repository containing the code and instructions on how to automate this whole setup using AWS CDK.
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How to Implement and Deploy a Smart Contract Event Listener with AWS CDK
Now that you have a working smart contract event listener, we'll deploy the resources to AWS using AWS CDK, which is an Infrastructure as Code (IaC) tool. AWS CDK allows you to configure, deploy, and manage AWS cloud resources using popular programming languages such as TypeScript.
What are some alternatives?
pydantic-factories - Simple and powerful mock data generation using pydantic or dataclasses
sst - Build modern full-stack applications on AWS
template-python-hello-world - :triangular_ruler: Python Hello World | Minimal template for Python development
aws-cdk-local - Thin wrapper script for using the AWS CDK CLI with LocalStack
asgi-correlation-id - Request ID propagation for ASGI apps
middy - 🛵 The stylish Node.js middleware engine for AWS Lambda 🛵
dev-tasks - Automated development tasks for my own projects
ts-node - TypeScript execution and REPL for node.js
pip - The Python package installer
diy-sveltekit-cdk-adapter - An exercise on deploying SvelteKit with CDK
devpi - Python PyPi staging server and packaging, testing, release tool
SvelteKit - web development, streamlined