VoiceBase
Improving the stability of an AI-based platform for real-time analysis of conversational interactions, optimizing performance and reliability.
• Back-End Development
• Front-End Development
• Docker & Kubernetes for container orchestration
• Prometheus & Grafana for metrics and alerting
• Kotlin, Java & Spring for core services
• Kafka, Pulsar & NATS for messaging backbone
• gRPC & Socket.io for inter-service communication
• Redis for caching
• Twilio & RingCentral integrations
• Maven, SonarQube & JUnit 5 for build and testing
- Java Tech/Team Lead
- 2 Java Developers
- NodeJS Developer
- DevOps
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About the Client
An innovative US-based IT company delivering AI/ML-driven voice analytics solutions, enabling businesses to extract real-time insights from conversational data, enhancing decision-making and operational efficiency.
Challenge
• A fragmented microservice ecosystem used multiple communication protocols, leading to maintenance overhead, inconsistent event flows, and stability issues, impacting system performance.
• The client needed a unified, custom streaming protocol to reduce support costs and improve reliability.
• Expansion to cloud communications required seamless integration with Twilio and RingCentral APIs, ensuring smooth communication across cloud-based platforms.
Solution
Custom Stream-Based Architecture
Designed and implemented a generic communication framework, defining service topologies and event-action algorithms atop Kafka, Pulsar, or NATS, standardizing message flows across the platform to improve system integration.
Real-Time Metrics & Alerts
Integrated Prometheus exporters per microservice and configured Grafana dashboards and alerts, enabling rapid performance tuning and proactive incident response under high data volume, ensuring real-time monitoring and optimizations.
Automated Integration Testing
Built a CI/CD-integrated test harness using JUnit 5 and SonarQube rules, running end-to-end tests on gRPC and REST interfaces to validate real-time pipelines and accelerate bug detection.
Business
Value
In-depth analysis and specification of business needs enabled a robust protocol design, simplifying future service onboarding and feature expansion, while ensuring scalable infrastructure for long-term growth.
A unified streaming protocol, comprehensive monitoring, and automated tests delivered a resilient, low-maintenance platform, supporting growth into Twilio and RingCentral–based channels and optimizing system integration.
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