rds

MLflow plugins adding AWS RDS IAM auth for tracking and model registry stores

This project is a working example for managing a database in Amazon RDS Aurora with GitLab and Terraform

Traffic Message Channel (TMC) for Android. Requires either USB OTG support and a Si470x USB tuner, or a Bluetooth GNS FM9 tuner.

Setup a S3 backend for terraform. Follow process describe on this link: Terraform S3 Backend Best Practices

The EC2 instance should always use the latest amazon 2 linux ami

Everything should be done in the prod VPC

EC2 should allow SSH traffic from everywhere

Ec2 and RDS connectivity

The RDS security group should only allow communication from the EC2 SG

The output of the terraform deployment should be the public IP of the instance.

The dev team did supply us with the userdata script that is ready to use

RDS cloudwatch dashboard

Create cloudwatch alerts for RDS instance

AWS (serverless/cloudformation) backend for 'pawprices' (tracking available apartment prices in the building I live in)

This script gives the automated process of creating a backup of MySQL DB on AWS RDS Instance from an existing DB Instance in AWS RDS and saving it in the AWS S3 bucket.

This script gives the automated process of creating a backup of MySQL DB on AWS RDS Instance from an existing DB Instance in AWS RDS and saving it in the AWS S3 bucket.

This script gives the automated process of creating a Read Replica DB Instance from an existing DB Instance in AWS RDS.

This script gives the automated process of creating a Read Replica DB Instance from an existing DB Instance in AWS RDS.

Create a postgres database on AWS RDS

Simplified RDS Instances within Salte!

A multi-container app for Techna. Essentially a datalake with multidimensional rivulets

Clean data files estimated from different open sources