About Company

Company is a cutting-edge blockchain & IOT technology company specializing in providing innovative solutions tailored for businesses seeking to harness the power of decentralized technology. With expertise in blockchain development, dApps, tokenomics, and smart contracts, it delivers secure and scalable solutions across industries. Their mission is to redefine business processes with blockchain’s transformative potential.

The Challenge

The client, an IoT health device company, struggled with managing high volumes of real-time device state data efficiently. Their existing system faced delays in event processing, lacked synchronized access to shared data across multiple instances, and was unable to scale effectively to meet the growing number of devices. A robust, scalable, and efficient solution was needed to address these challenges.

Discovery

We initiated the project by conducting comprehensive discovery sessions with the IoT health device company. These sessions served as the foundation for the project and enabled us to:

• Gain a detailed understanding of the client’s existing setup for managing real-time device state data.
• Identify challenges in event handling, shared data synchronization, and horizontal scalability.
• Understand the specific requirements for efficient event processing, consistent state management, and scalability to support an increasing number of IoT devices.
• Review and validate the existing infrastructure design using the five pillars of the AWS Well-Architected Framework to identify gaps and areas for improvement.

The findings from these sessions were compiled into a Gap Analysis Report, accompanied by a proposed Remediation Plan to address the challenges and implement a robust solution for real-time IoT device state management.

Onboarding

With the project parameters and remediation plan finalized, we proceeded with the onboarding process for the IoT health device company, which included:

=> Integrating Amazon SQS for Event Handling:

• Configured Amazon SQS to handle high volumes of incoming events from IoT devices, ensuring reliable and efficient message processing.
• Set up dead-letter queues to capture unprocessed messages for troubleshooting and analysis.

=> Configuring AWS EFS for Shared Storage:

• Deployed AWS EFS as a shared volume accessible by all pods in the AWS EKS cluster.
• Configured EFS to store the last 5 minutes of device state data, ensuring consistent and synchronized access for all pods.
• Implemented lifecycle policies to optimize storage costs by automatically archiving older data.

=> Deploying AWS EKS for Scalability and Reliability:

• Set up an AWS EKS cluster to manage containerized workloads for IoT event processing and state management.
• Enabled horizontal pod scaling to handle dynamic workloads and support the growing number of IoT devices.

=> Implementing Access and Security Controls:

• Configured AWS IAM policies to ensure secure access to EFS and SQS while maintaining data integrity and security.

=> Workshops and Training:

• Conducted sessions with the client’s technical team to familiarize them with the new architecture, including managing EKS, EFS, and SQS configurations.
• Provided training on monitoring and performance optimization to ensure efficient system operation.

This onboarding process ensured a seamless transition to the new system, providing the client with a scalable, reliable, and efficient solution for managing IoT device state data. It also empowered their team to maintain and optimize the architecture as their business requirements evolved.

Operations & Support

To ensure the long-term success of the project, we provided ongoing operational support and maintenance for the IoT health device company as part of their business-as-usual (BAU) operations. This included:

=> Monitoring and Alerts:

• Configured Amazon CloudWatch to monitor EKS pod performance, SQS queue activity, and EFS usage with proactive alerting for potential issues.

=> Change Management:

• Assisted with infrastructure updates, including adjusting SQS queue settings, modifying EFS policies, and scaling EKS pods to meet evolving business needs.

=> Incident Handling:

• Provided rapid resolution for issues such as message processing delays, data synchronization errors, or storage access problems.

=> Optimization Updates:

• Conducted regular reviews of the architecture to ensure the system remained efficient, secure, and scalable.
• Implemented recommendations for cost-saving measures and performance improvements based on system usage patterns.

These support services ensured that the IoT health device company could focus on delivering reliable device services while maintaining a robust and optimized cloud environment.

Optimisation & Advisory

Our team provided consultative services to the IoT health device company as a Cloud Subject Matter Expert (SME), ensuring their cloud environment remained efficient, scalable, and optimized for performance. Key services included:

=> Usage and Cost Analysis:

• Monitored and analyzed platform usage, identifying opportunities to optimize costs for EKS, EFS, and SQS.

=> Right-Sizing Opportunities:

• Recommended adjustments to EFS storage configurations and SQS queue policies based on usage patterns to balance performance and costs.

=> Architectural Improvements:

• Suggested enhancements to the EKS deployment for better resource allocation and scaling, ensuring high availability and throughput.

=> Service Recommendations:

• Provided insights into new AWS features and tools that could further streamline event handling and state management processes.

Through these advisory services, the IoT health device company was able to achieve a highly efficient, scalable, and cost-effective architecture, enabling them to focus on delivering reliable services to their customers.