Confluent for Kubernetes (CFK) Blueprints
Kubernetes-native “blueprint” tool for one-click, standardized deployment and management of the Confluent data streaming platform.
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Team Lead & Full-Stack Architect
Primary Responsibilities:
- Designed and architected the entire four-layer system architecture (Data Source Layer, Confluent Processing Layer, AI Inference Layer, Application Layer)
- Implemented the microservices architecture using FastAPI and React
- Created comprehensive deployment strategies for both local (Docker Compose) and cloud (Kubernetes/GKE) environments
- Developed the real-time dashboard with WebSocket support for live data visualization
- Integrated Google Cloud Platform services (Vertex AI, BigQuery ML) with the streaming pipeline
- Wrote extensive documentation including architecture guides, deployment instructions, and troubleshooting resources
Key Achievements:
- Successfully integrated Confluent Platform (Kafka, ksqlDB, Schema Registry) with Kubernetes
- Implemented end-to-end real-time data processing pipeline with sub-second latency
- Created automated deployment scripts for seamless cloud migration
- Designed and implemented the anomaly detection and alerting system
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