v1.0.0 - Stable pipeline architecture

This release marks the first stable version of TrStream, a distributed real-time transaction processing pipeline.

Highlights

• End-to-end streaming pipeline built on Kafka and S3-compatible storage
• Horizontally scalable producers and consumers
• Immutable Parquet-based data lake with explicit lifecycle stages
• Dedicated partitioning and compaction services for analytical workloads
• SQL query layer powered by DuckDB with a Streamlit-based editor
• Fully containerized local environment with Docker Compose
• Kafka UI integration for observability

Architecture

The pipeline models a modern fintech-style data flow:

• event-driven ingestion
• durable raw event storage for auditing
• lakehouse-style optimization for analytics

Tooling

• Helper scripts for build, run, scaling and shutdown
• Health checks and deterministic startup order
• Clear separation of responsibilities across services

Status

This release is intended as a stable foundation.
Future work will focus on:

• integration with real transaction APIs (e.g. Stripe, Revolut)
• metrics and observability improvements
• advanced analytics and fraud detection use cases