Enhancing AWS Infrastructure and Backup Solutions for Tenvos AI

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Enhancing AWS Infrastructure and Backup Solutions for Tenvos AI
Tenvos AI
OVERVIEW

Tenvos AI is a private company headquartered in West Sacramento, California, specializing in AI-powered impairment detection solutions. Their mission is to proactively manage workplace impairment risks, such as fatigue and sleep deprivation, through non-intrusive and affordable methods. The company is led by founder and CEO Rima Seiilova-Olson, a former competitive programmer with extensive experience in developing and productizing machine learning models.

Project Objectives

Tenvos AI sought to enhance the robustness and security of their AWS infrastructure, focusing on:

  • Implementing comprehensive backup solutions for critical services, including S3, RDS, and Lambda.
  • Establishing separate environments for production and non-production to bolster security and compliance.
  • Developing reusable Terraform modules for efficient provisioning and management of AWS resources.
  • Providing detailed runbooks to empower their engineering team in managing AWS resources independently.
Enhancing AWS Infrastructure and Backup Solutions for Tenvos AI
Solutions Implemented

1. S3 Backup Enhancements

  • Enabled versioning on critical S3 buckets to maintain object versions and prevent data loss.
  • Configured S3 endpoints to ensure traffic remained within the AWS internal network, optimizing costs and enhancing security.

2. RDS Backup and Management

  • Activated automated backups for RDS databases to ensure regular data snapshots.
  • Captured RDS configurations in Terraform for reproducibility and version control.
  • Tested and documented the time required to create RDS instances and restore data from backups.
  • Implemented access management in RDS based on defined roles and groups to secure data access.

3. Lambda Function Management

  • Captured Lambda functions and their associated permissions in Terraform for consistent deployment and management.

4. Environment Separation

  • Created a new AWS account to segregate production and non-production environments, enhancing security and compliance.

5. Terraform Modules and Runbooks

  • Developed reusable Terraform modules for provisioning AWS resources, including S3, RDS, API Gateway, Lambda, EC2, and networking components.
  • Provided detailed runbooks with step-by-step instructions for engineers and researchers to independently create and manage AWS resources using Terraform.

6. Production Environment Security Review

  • Reviewed and configured networking and security groups in the production environment to ensure that only essential resources were exposed, adhering to the principle of least privilege.
Outcomes

The implementation of these solutions resulted in:

  • Enhanced data protection through robust backup strategies and versioning.
  • Improved security posture by segregating environments and enforcing strict access controls.
  • Streamlined infrastructure management with reusable Terraform modules and comprehensive runbooks.
  • Empowered engineering teams capable of independently managing and scaling AWS resources.