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Real-Time Event Metrics Processing Microservice for Scalable Data Analysis

future-processing.com

Information technology

Business services

Consumer products & services

Client Challenges in Early-Stage Project Development

Actificent required a development partner with cross-domain expertise to build a scalable metrics processing system during an early phase of technology selection. The solution needed to handle high-volume event streams (up to 30,000 events/minute) while maintaining flexibility for evolving technical requirements.

About the Client

UK-based technology consultancy specializing in Big Data solutions for Fortune 100 companies, founded in 2016 by experienced engineers focused on enabling data-driven business decisions.

Project Goals and Deliverables

Develop a scalable microservice for real-time event metric aggregation
Enable generation of actionable business insights through metric reports
Ensure system reliability for high-throughput data streams from Apache Kafka
Provide architectural flexibility for future technology integration

Core System Capabilities

Real-time event ingestion from Kafka streams
Configurable metric tagging and categorization
High-throughput event processing (30K+ events/minute)
Interactive dashboard for metric visualization
Automated report generation and data export

Technology Stack Requirements

Apache Kafka

Cloud-native architecture

Microservices framework

Big Data processing tools

System Integration Needs

Apache Kafka event streams
Cloud storage solutions
Business intelligence dashboards

Performance and Scalability Criteria

Support 30,000+ events per minute throughput
99.99% system availability SLA
Horizontal scalability for future growth
Real-time processing latency under 500ms

Business Value Projections

Implementation of this microservice will enable real-time business intelligence capabilities, supporting data-driven decision-making with 50% faster metric processing compared to legacy systems. The scalable architecture will accommodate 200%+ growth in event volume without infrastructure rework, while providing actionable insights from previously untapped data streams.