ShadowStream: Enterprise Change Data Capture Platform

Overview

ShadowStream is a Change Data Capture (CDC) system that streams database changes in real time, buffers them through Redis Streams, archives them to Kafka, and provides controlled replay over gRPC APIs. Built for reliability, scalability, and observability.

Features

• Real-time Change Capture — PostgreSQL logical replication via WAL streaming

• Dual Storage Pipeline — Redis streams (low latency) + Kafka (durable archival)

• Parallel Processing — Kafka consumer groups for high-throughput workloads

• Controlled Replay — Speed-controlled, time-travel replay via gRPC

• Exactly-Once Semantics — Transactional guarantees across Redis + Kafka

• Real-time Monitoring — gRPC progress streaming

• Admin Dashboard — Django-based UI for managing replays

Quick Start

1. Prerequisites

   Docker & Docker Compose

   Python 3.12+

2. Clone & Setup git clone https://github.com/mrinalxdev/shadowstream.git cd shadowstream

3. Start Infrastructure docker-compose up -d postgres redis kafka

4. Initialize Database docker-compose exec postgres psql -U postgres -d shadowdb
   -c "CREATE USER repluser WITH REPLICATION LOGIN PASSWORD 'replpass';"

5. Start Services

# Start ingestor
docker-compose up -d ingestor
# Start control panel (Django)
docker-compose up -d control
# Start replayer
docker-compose up -d replayer

5. Access Dashboard

Admin Panel: http://localhost:8000/admin

Kafka UI: http://localhost:8081

Configuration

Environment Variables

PostgreSQL

PG_HOST=postgres
PG_USER=repluser
PG_PASSWORD=replpass 

Redis

 REDIS_URL=redis://redis:6379/0 

Kafka

KAFKA_BROKERS=kafka:9092

Kafka Topics

• shadowstream.archive — archived change events

• Consumer groups: analytics-group, backup-group

API Documentation

gRPC Services

serviceIngestor {
rpcPushChange(ChangeRecord) returns (PushResponse);
}
serviceReplayer {
rpcReplayEvent(ReplayRequest) returns (ReplayResponse);
}
serviceProgressTracker {
rpcStreamProgress(ReplayRequest) returns (streamProgressUpdate);
}