rds-starter-templates | CloudFormation template to create a RDS instances | AWS library
kandi X-RAY | rds-starter-templates Summary
kandi X-RAY | rds-starter-templates Summary
This set of templates are a complete set of CloudFormation templates to build out a AWS RDS instances in a secure manner by provisioning an SSM parameter and encrypting it with an KMS key. A password is randomly generated and placed in the encrypted SSM parameter and also applied to the RDS instance as the master password. Please see the diagram for a visual representation of the resources provisioned.
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Top functions reviewed by kandi - BETA
- Event handler for Lambda Function
- Send an event to CloudWatch
- Write a password to SSM
- Get the SSM password from a parameter
- Generate password
rds-starter-templates Key Features
rds-starter-templates Examples and Code Snippets
Community Discussions
Trending Discussions on rds-starter-templates
QUESTION
I am trying to create a RDS and Redshift resource using cloud formation yaml file
In RDS and Redshift there would be one cluster
name as testcluster
and one database
name as testdb
inside
Its in us-east-2 region, both are postgressql11
I went though link https://github.com/1Strategy/rds-starter-templates/tree/master/aurora
there so many parameters they are declaring which is not required
I just need to create a Aurora DB instance with Cluster and DB name with out password
Below is the sample template, Here i need to use the username and password which is saved in secret manager nameed as "general_secret"
...ANSWER
Answered 2020-Dec-08 at 19:07Here i need to use the username and password which is saved in secret manager nameed as "general_secret"
Assuming secrets:
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Vulnerabilities
No vulnerabilities reported
Install rds-starter-templates
You can use rds-starter-templates like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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