IoT Data Platform on AWS | Scalable & Secure Cloud Architecture

Client

Our client is an Industry 4.0 / IoT technology company seeking to build a cost-effective, scalable data platform on AWS — capable of collecting, processing, and visualizing large-scale IoT data. They needed end-to-end support: from AWS account setup, infrastructure provisioning, deployment pipelines, to ongoing monitoring and maintenance.

Challenge

The client faced several core challenges:

1. Scalability: The infrastructure needed to handle large volumes of telemetry data from distributed IoT sensors and devices.
2. Security: Cloud environment needed strict access control, encryption, and isolation between environments.
3. Observability: They wanted a centralized, intuitive monitoring solution to track device health, application performance, and infrastructure-level metrics.
4. Flexibility: Deliver a cost-efficient architecture that is modular enough to evolve into a full SaaS offering in future stages and handle more clients.

Solution Overview

1. Account: Separate AWS account for development and production environment.
2. VPC: VPC was configured with public and private subnets, NAT gateways, route tables, and IAM roles with least-privilege access policies.
3. Compute Layer: AWS EC2 instances with the latest Amazon Linux AMIs. Usage of spot instances for cost savings during development and testing periods.
4. Software: Containerized applications running on the EC2 instances.
5. Observability Stack: CloudWatch and Grafana.
6. Web Security: AWS WAF as a Web Application Firewall.
7. Infrastructure as Code: Terraform.
8. IoT Backend Development: Backend for controlling MQTT-enabled IoT devices, written in Go.

Results & Value Delivered

1. Provisioned the AWS account and implemented a secure, production-ready cloud infrastructure.
2. Developed backend services in Go for managing MQTT-based IoT device communication.
3. All applications were containerized and deployed on EC2 instances.
4. Delivered support under SLA, including troubleshooting, monitoring, and operational guidance.

Technologies Used

1. Cloud Platform: AWS (EC2, VPC, IAM, CloudWatch, WAF, AWS Site-to-Site VPN, Amazon Linux)
2. Infrastructure as Code: Terraform
3. Monitoring: Grafana, CloudWatch
4. Development Language: Go (Golang)
5. Protocol: MQTT for IoT communication, REST
6. Containerization: Docker