Use case
Provisioning of MongoDB Atlas Cluster
with private link through IaC
- Pruthviraj Rajput
About the Customer
SpaceFlow is the developer of a GenAI visualization platform used in real estate space planning. This platform employs generative AI to automate the creation of space layouts, integrating architectural data and best practices to quickly generate multiple optimized designs and 3D visualizations. It’s designed to speed up decision-making for architects, brokers, and landlords by allowing them to input design criteria and receive various layout options. The platform’s use of geometrical optimization engines and parallel cloud computing facilitates the production of numerous AI-generated designs, aiming to streamline space planning while considering regulatory compliance, cost efficiency, and space utilization.
Customer Challenge
The customer needed a secure, scalable, and efficient way to manage private database connections with MongoDB Atlas, while automating resource creation to minimize manual efforts.
The company also required a solution that could seamlessly integrate its AWS infrastructure with MongoDB, ensuring that all database traffic remained private and secure.
Additionally, customer wanted to improve the consistency of its deployments across environments by adopting Infrastructure as Code (IaC) practices. Without a solution, customer risked operational inefficiencies, increased manual errors, and potential security vulnerabilities due to exposed database traffic.
Solution
To address the customer’s needs for secure, efficient, and private database connection between AWS resources and Mongo Atlas cluster, a solution was implemented involving Mongo-Atlas cluster setup, AWS PrivateLink integration, and Infrastructure as Code (IaC) principles.
1. Infrastructure as Code (IaC):
Leveraged Infrastructure as Code (IaC) principles to manage and provision all resources programmatically, reducing the risk of human error and ensuring consistency across environments
Implemented version control for Terraform scripts, allowing for easy tracking of changes, rollbacks, and collaboration among team members.
2. Mongo-Atlas Cluster Setup:
Configured the Mongo-Atlas cluster using Terraform to meet the customer’s specifications for performance, availability, and scalability.
Implemented best practices for MongoDB setup, including appropriate instance types, storage options, and backup configurations.
3. AWS PrivateLink Integration:
- Established secure, private connectivity between the Mongo-Atlas cluster and the customer’s AWS services using AWS PrivateLink.
Configured VPC endpoints and security groups to restrict access and enhance security, ensuring that all database traffic remains within the AWS networ
High Level Architecture Diagram
Results and Benefits
Qualitative:
Secure and private connection between AWS services and MongoDB via AWS Private Link.
Automated, repeatable, and consistent deployment process using Terraform.
Enhanced security posture by limiting public exposure of the database.
Quantitative:
Improved deployment speed, with the entire setup process completing in less than 15 minutes.
Decreased potential misconfigurations and errors by using Infrastructure as Code (IaC).
Elimination of manual effort in setting up and configuring Mongo-Atlas clusters.
About IAMOPS
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