VoiceBase

Improving the stability of an AI-based platform for real-time analysis of conversational interactions, optimizing performance and reliability.

IndustryAI
DurationOngoing
Team5 members

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.

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