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Development of a Scalable and Resilient Storage System for High-Volume Metrics Processing

scalac.io

Information technology

Security

Software development

Business Challenges

The client required a storage system capable of ingesting and processing high volumes of metrics from network devices under constant analysis. Existing infrastructure faced scalability limitations, lacked fault tolerance, and struggled with data persistence requirements. Legacy systems running on baremetal servers caused resource inefficiencies and operational bottlenecks.

About the Client

A technology company specializing in network infrastructure monitoring and analytics

Key Project Goals

Design a reactive storage system with high availability and fault tolerance
Implement a streaming data architecture using Akka Streams
Achieve feature-complete implementation with comprehensive test coverage
Optimize system performance through modular architecture
Create a resilient system with built-in failure recovery mechanisms

Core System Requirements

High-throughput metrics ingestion pipeline
Distributed data persistence layer
Real-time stream processing capabilities
Automated failure recovery mechanisms
Modular system architecture
Comprehensive monitoring and visualization dashboard

Technology Stack

Scala

Akka

Akka Streams

Akka HTTP

Apache Cassandra

Apache Kafka

Elasticsearch

System Integrations

Existing network monitoring infrastructure
Device management systems
Analytics visualization tools
Cloud-native deployment environments

Non-Functional Requirements

Horizontal scalability to handle increasing metrics volume
99.99% system availability
Low-latency stream processing
Data consistency across distributed nodes
Security-hardened communication channels
Resource-efficient operation

Expected Business Impact

The new system will enable 300% higher metrics processing throughput, reduce infrastructure costs by 40% through efficient resource utilization, and decrease system downtime by 90%. The modular architecture will allow for rapid feature additions while maintaining system stability, directly supporting business growth and customer satisfaction.