Case Study

Enabling Secure MongoDB Atlas Connectivity for 50% Improved Data Analytics Readiness on AWS

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Industry 

Technology, Information and Internet

Expertise 

Amazon VPC, Public Subnet, Private Subnet, Internet Gateway, NAT Gateway, Amazon S3, AWS Glue, Amazon Athena, Amazon QuickSight, MongoDB

Offerings/solutions 

Secure AWS networking architecture enabling controlled access between AWS Glue and MongoDB Atlas for analytics and reporting workloads.

About the Client

The organization is a technology-driven provider of electric vehicle (EV) charging solutions, focused on enabling the adoption of sustainable mobility. It offers a comprehensive EV charging ecosystem that includes smart charging infrastructure, software platforms, monitoring capabilities, and operational support services. By leveraging innovative technology and data-driven insights, the company helps businesses and communities deploy, manage, and scale EV charging networks efficiently while enhancing the overall charging experience for end users.

Highlights

~50%

Data Connectivity Efficiency Improved

~60%

Networking Complexity Reduced

~40%

Security Enhanced

The Challenge

The client needed a secure and scalable way to access operational data stored in MongoDB Atlas for analytics and reporting. MongoDB Atlas was protected through IP-based access controls, and AWS Glue jobs running in private subnets lacked a fixed public IP address. Establishing secure connectivity while maintaining network security, compliance, and scalability for future analytics workloads became a key challenge.

Solutions

• Designed a dedicated Amazon VPC architecture with public and private subnets.
• Configured secure route tables and network segmentation following AWS best practices.
• Provisioned an Internet Gateway for controlled internet connectivity.
• Allocated a static Elastic IP address to provide a fixed outbound public IP.
• Deployed a NAT Gateway within the public subnet for secure outbound internet access.
• Configured private subnet routing to direct outbound traffic through the NAT Gateway.
• Implemented Security Groups to restrict traffic and enforce least-privilege access.
• Shared the Elastic IP with the customer for whitelisting within MongoDB Atlas.
• Configured AWS Glue networking components to utilize the private subnet architecture.
• Performed connectivity validation and end-to-end testing to ensure successful communication between AWS Glue and MongoDB Atlas.

The Results

Improved data connectivity efficiency by ~50%, reduced networking complexity by ~60%, and enhanced security by ~40% through secure AWS Glue-to-MongoDB Atlas integration using managed AWS networking services.

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