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Connect AWS Secrets Manager & Jupyter

Integrating AWS Secrets Manager into a Jupyter Workflow

Teams that use Jupyter for feature-rich collaborations need access to datasources, containers, and other technical resources. strongDM controls access to your multi-cloud infrastructure and integrates with AWS Secrets Manager to safely handle API keys, passwords, and other secrets.

AWS Secrets Manager is an Amazon service that securely stores, rotates and retrieves database credentials, OAuth tokens, API keys and other secrets throughout their lifecycle. It has built-in integration for Amazon RDS, Amazon Redshift, and Amazon DocumentDB. The strongDM proxy fetches credentials from AWS Secrets Manager, reinforcing the safe handling of those secrets. Jupyter Notebook is a tool built for collaboration. Teams use Jupyter to share live code, explanatory text, multimedia visualizations, and more within the context of a web page. The strongDM proxy fetches data from a variety of sources, so Jupyter users can collaborate on projects with no interruptions to workflow.

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AWS Secrets Manager: Integrating into a Jupyter workflow
Collect logs with AWS Secrets Manager from Jupyter
Use AWS Secrets Manager with Jupyter
Use AWS Secrets Manager and Jupyter
Use AWS Secrets Manager and Jupyter
Connect AWS Secrets Manager + Jupyter
Connect AWS Secrets Manager + Jupyter
Connect AWS Secrets Manager + Jupyter
Connect AWS Secrets Manager using Jupyter

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🤝 Jupyter

AWS Secrets Manager 🤝 Jupyter

To get started integrating AWS Secrets Manager into your Jupyter workflow, sign up for a free trial account on strongDM, then visit Configure AWS Secrets Manager as a Secret Store linked below.

To get started integrating AWS Secrets Manager into your Jupyter workflow, sign up for a free trial account on strongDM, then visit Configure AWS Secrets Manager as a Secret Store linked below.

To set up one-click access to AWS Secrets Manager and start integrating it into your Jupyter workflow, sign up for a free trial account on strongDM, then visit Configure AWS Secrets Manager as a Secret Store linked below.

To get started collecting access and session logs with AWS Secrets Manager from Jupyter, sign up for a free trial account on strongDM, then visit Configure AWS Secrets Manager as a Secret Store linked below. 

To get started connecting AWS Secrets Manager and Jupyter, sign up for a free trial account on strongDM, then visit Configure AWS Secrets Manager as a Secret Store linked below. 

Configure AWS Secrets Manager as a Secret Store
documentation
AWS Secrets Manager documentation
documentation
Jupyter documentation
AWS Secrets Manager Jupyter
AWS Secrets Manager

The strongDM proxy fetches credentials from AWS Secrets Manager, reinforcing the safe handling of those secrets.

AWS Secrets Manager is an Amazon service that securely stores, rotates and retrieves database credentials, OAuth tokens, API keys and other secrets throughout their lifecycle. It has built-in integration for Amazon RDS, Amazon Redshift, and Amazon DocumentDB.

Jupyter

The strongDM proxy fetches data from a variety of sources, so Jupyter users can collaborate on projects with no interruptions to workflow.

Jupyter Notebook is a tool built for collaboration. Teams use Jupyter to share live code, explanatory text, multimedia visualizations, and more within the context of a web page.

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