Cineyma

CRUD API with PostgreSQL and Redis

Build a production-ready REST API using actors for database and cache management.

Architecture Overview

This example demonstrates a clean actor-based architecture for a typical web API with PostgreSQL for persistence and Redis for caching:

Actor-based architecture separating concerns into dedicated actors

Request Flow

Here's how a typical read request flows through the system with cache:

Cache-aside pattern: check cache first, fallback to database

Project Setup

Cargo.toml
toml
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Define Messages

messages.rs
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Cache Actor (Redis)

The CacheActor manages all Redis interactions, keeping cache logic isolated:

cache_actor.rs
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Database Actor (PostgreSQL)

The DatabaseActor handles all SQL operations:

db_actor.rs
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User Service Actor

The UserService orchestrates between cache and database:

UserService coordinates cache and database actors
user_service.rs
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HTTP Handlers (Axum)

handlers.rs
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Main Entry Point

main.rs
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Database Schema

migrations/001_create_users.sql
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Why This Architecture?

Isolation

Each actor handles one concern. Database failures don't affect cache operations.

Testability

Actors can be tested independently. Mock the database actor to test business logic.

Scalability

Add more database or cache actors for connection pooling per-actor.

Resilience

Add supervision strategies to restart failed actors automatically.

Next Steps

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Build a real-time chat server with streams

Distributed KV Store

Build a clustered key-value store