CloudFormation templates to accelerate getting started on AWS.
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Updated
Mar 14, 2022 - Python
CloudFormation templates to accelerate getting started on AWS.
A fast, extensible static site generator implemented in Python. ✨
A user-friendly client for AWS Aurora Serverless's Data API
Sendbird's Online Schema Change Tool for Aurora MySQL
An advanced monitoring system for Amazon Aurora PostgreSQL that is completely serverless, based on AWS Lambda and Amazon CloudWatch
Modern toolbox for impurity transport, neutrals and radiation modeling in magnetically-confined plasmas
A simpler way to use Aurora Serverless Data API with Python.
AUROra MApping Toolkit - Python library / CLI tools for creating and working with georeferenced images for aurora research.
This sample code can be used to manage Aurora global database endpoints. After failover the global database writer endpoints swap from one region to the other. This solution automates creation and management of Route 53 based endpoints, so the applications don't have to change the connections strings.
AWS Aurora Multi Master Demonstration
Python library for data access and analysis support of All-Sky Imager (ASI) data
A plug and play solution to automatically stop your RDS instances or Aurora clusters once restarted by AWS in order not to fall behind maintenance activities.
detect features in noisy ionospheric data: optical, passive radar, incoherent scatter radar
Prototype implementation of the DCP Query Service, a metadata search engine for HCA
A collection of scripts and code to analyse meteor and aurora data
This application is built in four stages using infrastructure as code with CDK with Python to deploy. In the first stage, an Amazon Aurora PostgreSQL vector database is set up. In the second stage, the Knowledge Base for Amazon Bedrock is created using the established database. The third stage involves creating an Amazon
Analyse database activity with Aurora Database Activity Streams and send findings to Security Hub
Block data import and export between .csv format and the most popular databases IBM DB2, Oracle, AWS AuroraDB, MongoDB, PostgreSQL, MySQL, SQLite3
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