JBoss Community

Mentors: Student: Siddhant Chaturvedi

SQLite is widely used in mobile, desktop, and edge applications but has no production-ready Change Data Capture connector. This project builds a Debezium source connector for SQLite that captures row-level changes by directly parsing the SQLite Write-Ahead Log (WAL) binary file by decoding B-tree leaf pages, diffing old and new page states, and producing standard Debezium change events with correct before and after values, without any application modifications. Deliverables include a deployable Kafka Connect plugin with full WAL binary parsing, initial snapshot, streaming with safe checkpoint lifecycle management, transaction metadata support, and a complete test suite with documentation.

Mentors: Student: Kartik Angiras

Milvus currently lacks a Debezium source connector, meaning data can flow into Milvus (via sink connectors) but not out of it into the broader data ecosystem. This critical gap forces users into manual workarounds for data replication, auditing, and prevents the creation of hybrid pipelines that join vector search results with relational data. The plan is to implement a Hybrid strategy focused exclusively on the future-proof Milvus 2.6+ StreamingNode architecture. This approach will leverage two separate sources to guarantee a complete and ordered change stream: Woodpecker Streaming Service (WAL): Used as the only source for all Data Manipulation Language (DML) events (inserts and deletes). Etcd Watch: Used as the cleanest source for all Data Definition Language (DDL) events (schema changes), which simplifies parsing and aligns with Debezium's schema history mechanism.

Mentors: Student: KMohnishM

Modern AI systems relying on Retrieval-Augmented Generation (RAG) often suffer from stale data due to batch-based updates. This project, PyDebeziumAI, aims to solve this by enabling real-time synchronization between databases and LLM pipelines using Debezium Change Data Capture (CDC). The project will extend pydbzengine to stream CDC events directly into LangChain and LangGraph by transforming database changes into semantic Document objects and updating vector stores in real time. Key deliverables include: - A Python library integrating Debezium with LangChain/LangGraph - Real-time vector store synchronization (Chroma, PGVector, Milvus) - Pluggable document transformation and ID strategies - End-to-end examples (RAG chatbot, reactive agent, dashboard) - Full documentation, testing, and PyPI release This will provide a production-ready bridge between CDC systems and AI frameworks, ensuring always up-to-date LLM context.

Mentors: Student: Binayak Das

Debezium lacks a developer-friendly CLI for managing CDC pipelines. I will build a dbz, a native CLI using Quarkus and Picocli, with two subsystems: a build subsystem that resolves connector dependencies and assembles trimmed OCI images using Jib, and a platform subsystem that wraps the Debezium Platform REST API for full pipeline lifecycle management including sources, destinations, and live log streaming.

Mentors: Student: Milan P Samuel

This project proposes building jws diag, a read only diagnostic CLI for JBoss Web Server that helps operators and SREs to inspect runtime and configuration state more easily. The tool will provide concise installation and deployment summaries, effective connector TLS and proxy configuration reporting, validation checks for common misconfigurations, structured JSON output, and realistic test coverage for troubleshooting and automation use cases.