At zeb, we understand the critical importance of real-time data processing and analysis in the fast-paced business environment. As an AWS Advanced Tier Consulting Partner, we use IoT devices to stream data to Amazon Kinesis, where it is rigorously validated and transformed before analysis and visualization. This approach allows clients to make swift data-driven decisions, enhancing operational efficiency and fostering business growth.

Our AWS-native system handles large volumes of real-time data from diverse sources, such as energy meters, vehicles, industrial sensors, medical devices, and solar panels. It ensures high performance and reliability, suitable for sectors like utilities, transportation, healthcare, and renewable energy. With features like customizable alerts, audit trails, and intuitive dashboards, our solution enables efficient monitoring, anomaly detection, and compliance, driving efficiency and innovation across various applications. This strategic solution drives efficiency and innovation, whether optimizing energy distribution, enhancing fleet management, monitoring patient health, or maximizing solar energy production.

Key Features

• Real-Time Data Streaming from IoT Devices: Utilize Amazon Kinesis Data Streams to securely connect and manage various IoT devices, enabling real-time data ingestion and processing for instant insights.
• Data Enhancement and Validation: Implement AWS Glue for data cleansing, normalization, and validation, ensuring high-quality data for accurate analysis and decision-making in real time.
• Scalable Data Storage: Leverage Amazon RDS for PostgreSQL to provide robust relational storage of IoT data, enabling efficient querying and retrieval of historical data for in-depth analysis.
• Advanced Analytics and Machine Learning: Utilize AWS SageMaker to build, train, and deploy machine learning models for predictive analytics and anomaly detection on IoT data streams.
• Real-Time Custom Notifications: Implement Amazon Simple Email Service (SES) to send instant and customized alerts when specific conditions or anomalies are detected in the data streams, ensuring timely notifications to relevant stakeholders.
• Interactive Dashboards: Develop custom visualization dashboards using Amazon QuickSight, providing real-time insights and historical trend analysis.
• Edge Computing Capabilities: Leverage AWS IoT Greengrass for edge computing, enabling data processing and decision-making closer to the IoT devices for reduced latency and bandwidth usage.

Deliverables

• Future-State Architecture Diagram: A detailed architectural blueprint outlining the integration of IoT devices, Amazon Kinesis, AWS services, and analytics components tailored to your specific requirements.
• Total Cost of Ownership (TCO) Estimation: A precise projection of the operational expenses associated with the proposed IoT data streaming and analytics solution using our pre-configured AWS Pricing Calculator.
• Integration and Deployment Support Plan: A comprehensive plan outlining the steps for integrating the IoT solution into your existing infrastructure and workflows, ensuring minimal disruption to your operations during the transition.
• Ongoing Monitoring, Optimization, and Support: A strategy for continuous monitoring and optimization of your IoT data pipeline, including support plans for fine-tuning analytics models and enhancing the system to adapt to your evolving business needs.

Timeline

The assessment and road-mapping phase typically spans approximately 2-3 weeks, while the implementation activities may require 6-16 weeks (depending on the scope, size of the project, and availability of your project sponsor and technical teams).

Next Steps

Our typical next steps involve showcasing our previously implemented solutions, submitting a proposal for implementation services, including future-state architecture recommendations, technical design, implementation, testing, and production cut-over.