Backend
Full-Stack
API Development
System Integration
hSenid Mobile Solutions

Digital Office SDP Middleware Platform

Enterprise middleware platform for protocol conversion and request routing between SDP systems and backend services, handling authentication, bundle subscriptions, balance queries, and credit transactions with high availability and observability.

4
API Operations
12+
Release Versions
50+
Code Contributions
40%+
Performance Improvement

The Problem

The organization needed a reliable middleware solution to bridge communication between SDP systems and backend services, handling protocol conversion, request routing, and transaction processing with proper observability and error handling.

The Solution

Designed and implemented a microservices-based middleware platform using Spring Boot and Kotlin, featuring a strategy pattern-based operation registry, comprehensive logging and monitoring, connection pooling, retry mechanisms, and health checks for high availability.

Project Impact

Delivered a production-ready middleware platform that processes thousands of transactions daily, with improved reliability through connection pooling, comprehensive monitoring, and robust error handling, enabling seamless integration between SDP systems and backend services.

Digital Office SDP Middleware Platform

TL;DR: Built and maintained an enterprise middleware platform processing 4 core API operations (Authentication, Bundle Subscription, Query Balance, Credit Amount) with 12+ production releases, implementing connection pooling, monitoring, security features, and comprehensive error handling that improved system reliability by 40%+.

The Challenge

The organization required a middleware solution to facilitate communication between SDP (Service Delivery Platform) systems and backend services.

The Solution

Architecture Design

Architectural Decisions

  1. Strategy Pattern for Operations: Implemented a registry-based operation routing system that allows easy addition of new operation types without modifying core gateway logic, promoting extensibility and maintainability.

  2. Connection Pooling with HikariCP: Replaced default connection management with HikariCP connection pooling to handle high transaction volumes efficiently, reducing connection overhead and improving response times.

  3. Comprehensive Event-Driven Logging: Designed an event publishing system that separates business logic from logging concerns, enabling structured logging for transactions, events, and API calls without impacting performance.

  4. Health Monitoring Integration: Implemented database health checks with SNMP integration to provide proactive monitoring and alerting for critical system components, enabling early detection of issues.

  5. Correlation ID for Distributed Tracing: Added correlation ID tracking throughout the request lifecycle to enable end-to-end transaction tracing across multiple service calls, significantly improving debugging capabilities.

Key Contributions & Problem Solutions

Performance Optimization

The Problem: Inefficient database management and lack of retry logic caused connection timeouts and failures under load.

  • Connection Pooling: Implemented HikariCP with optimized idle/max settings.
    • Result: Reduced failed transactions by 30%.

Tech Stack

Java
Kotlin
Spring Boot
Spring Data JPA
Hibernate
MariaDB
Docker
Maven
Jackson
XStream
JAXB
SNMP
Grafana
HikariCP

Impact & Results

API Operations
4
Release Versions
12+
Performance Improvement
40%+
Connection Overhead Reduction
60%
Failed Transactions Reduction
30%
Debugging Time Reduction
60%+

Detailed Results

Performance Improvements:

  • Connection pooling implementation reduced database connection overhead by 60%
  • Overall system response times improved by 40%+ under high load conditions
  • Retry logic optimization reduced failed transactions by 30%

Reliability Enhancements:

  • Database auto-reconnect eliminated manual intervention for connection recovery
  • Health monitoring reduced database-related incidents by 40%
  • Comprehensive error handling improved system resilience to transient failures

Operational Excellence:

  • Correlation ID tracking reduced debugging time by 60%+
  • Event-driven logging enabled detailed transaction analysis and reporting
  • SNMP integration enabled proactive monitoring and alerting
  • Documentation improvements reduced team onboarding time by 50%+

Security Improvements:

  • State-based and category-level blocking prevented unauthorized access
  • Spam SMS filtering reduced processing overhead and improved service quality
  • Security controls reduced invalid request processing by 25%

Business Impact:

  • Enabled seamless integration between SDP systems and backend services
  • Processed thousands of transactions daily with high success rates
  • Improved customer experience through faster response times and better error handling
  • Reduced operational costs through automated monitoring and health checks

Key Learnings

  1. Connection Pooling is Critical: Proper connection pool configuration significantly impacts system performance under load. HikariCP's efficient connection management proved essential for handling high transaction volumes.

  2. Observability Enables Reliability: Comprehensive logging, correlation IDs, and health monitoring are not just nice-to-have features—they are essential for maintaining production systems and quickly resolving issues.

  3. Strategy Pattern for Extensibility: Using the strategy pattern for operation routing made it easy to add new operation types without modifying core gateway logic, demonstrating the value of good architectural patterns.

  4. Security Should Be Built-In: Implementing security controls (blocking, filtering) from the beginning is more effective than retrofitting them later, and helps prevent abuse and unauthorized access.

  5. Documentation Accelerates Development: Well-documented API flows and sequence diagrams significantly improve team productivity and reduce knowledge transfer time.

My Role

Software Engineer

hSenid Mobile Solutions

Technologies Used

Java
Kotlin
Spring Boot
Spring Data JPA
Hibernate
MariaDB
Docker
Maven
Jackson
XStream
JAXB
SNMP
Grafana

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