rust-distributed

What problem does it solve?

This Skill addresses the complexities of building reliable and consistent distributed systems in Rust, tackling challenges like data consistency, fault tolerance, and coordination across multiple services.

Core Features & Use Cases

• Consensus Algorithms: Implements and explains concepts like Raft for achieving agreement in distributed environments.
• Distributed Transactions: Details two-phase commit (2PC) for managing transactions across services.
• Consistency Models: Explores different consistency guarantees (strong, eventual, sequential) and their trade-offs.
• Distributed ID Generation: Provides patterns for generating unique IDs in a distributed system (e.g., Snowflake).
• Distributed Locking: Demonstrates mechanisms for acquiring and releasing locks across a network.
• Event Sourcing: Explains the event sourcing pattern for state management.
• Use Case: Designing a microservices architecture where data must remain consistent across different services, even in the face of network partitions or node failures.

Quick Start

Use the rust-distributed skill to understand how to implement the Raft consensus algorithm in Rust.