Design and Implement a High-Availability, Reactive Data Storage System for Real-Time Monitoring

The client manages a large fleet of devices under constant analysis, necessitating a storage solution capable of ingesting high rates of metrics efficiently. Existing infrastructure is fragmented, pre-cloud, and inefficient, leading to resource wastage and unreliable performance. They require a robust, highly available storage system that ensures responsiveness, fault-tolerance, and data persistence to support real-time monitoring and analytics.

A mid-sized enterprise specializing in device monitoring and analytics, requiring scalable data ingestion and reliable storage for real-time observations.

• Develop a fault-tolerant, distributed storage solution capable of high-throughput data ingestion and retrieval.
• Implement a reactive system architecture that supports scalability, fast recovery, and data persistence.
• Enhance system responsiveness and availability to handle the increasing volume of device metrics efficiently.
• Achieve high test coverage and simplify system modularity for easier maintenance and performance scaling.
• Optimize configuration to reach maximum operational efficiency and resilience from deployment.

• High-performance data ingestion pipeline supporting large throughput of device metrics.
• Real-time data processing using streaming frameworks to enable instant analytics and visualization.
• Distributed storage infrastructure ensuring high availability and fault tolerance.
• Data persistence with scalable, distributed database technology.
• RESTful APIs for data access and system management.
• Integration with search and analytics engines for rapid query and issue identification.
• Modular architecture supporting easy scalability and maintenance.

• Data sources from device telemetry systems
• Monitoring dashboards for real-time data visualization
• Alerting and notification systems based on data thresholds

• System must support high availability with minimal downtime
• Achieve high throughput to handle millions of metrics per second
• Ensure data durability and persistent storage
• Design for fault tolerance and quick recovery from failures
• Optimize for low latency and high responsiveness in data processing

The implementation of the new high-availability, reactive data storage system is expected to significantly improve data ingestion efficiency and system responsiveness. It will reduce resource wastage caused by fragmented infrastructure, enhance fault tolerance, and support scalable growth. The system aims to enable near real-time analytics and device monitoring, fostering improved decision-making and operational reliability.