Development of a High-Throughput Event Metric Counting Microservice for Big Data Analytics

The client faces challenges in processing and analyzing exceptionally high volumes of event data generated by user interactions, such as tagging, accessing, or downloading files, from various platforms. Existing systems lack scalable solutions capable of handling up to 30,000 events per minute, limiting the ability to run timely and comprehensive metric reports and draw actionable insights from Big Data streams.

A large-scale digital media organization or marketing firm that captures and analyzes massive streams of user interaction data to inform decision-making and optimize campaigns.

• Create a microservice capable of processing up to 30,000 event-based metrics per minute to support real-time analytics.
• Enable the client to generate detailed metric reports and derive insights from processed Big Data streams.
• Design the system with scalability, reliability, and performance efficiency in mind to accommodate future data growth.
• Implement a low-risk, flexible architecture adaptable to evolving technology choices.

• Real-time ingestion of event streams from message brokers such as Apache Kafka.
• High-throughput processing capable of handling up to 30,000 events per minute.
• Event categorization based on types such as tagging, accessing, or downloading files.
• Persistent storage optimized for efficient retrieval and reporting.
• APIs for querying metrics and generating reports.
• Scalable architecture allowing horizontal expansion to manage increased data loads.

• Stream processing systems for data ingestion (Apache Kafka or similar)
• Business intelligence and reporting tools for analysis
• Data storage solutions optimized for large-scale event data

• Ability to process up to 30,000 events per minute without degradation
• High availability and fault tolerance to ensure continuous operation
• Secure data handling compliant with relevant privacy standards
• Scalable to support future increases in event volume
• Low latency in data processing to enable near real-time reporting

The microservice is expected to support up to 30,000 events per minute, enabling the client to efficiently generate comprehensive metric reports and derive actionable insights from Big Data streams. This scalability will enhance decision-making, improve reaction times, and reinforce the client’s position as a data-driven leader in its industry.