Skip to main content

Distributed Task Runner in Rust

A high-performance distributed task-runner built using Rust, Tokio, Actix-Web, message queues, and structured logging.

  • Rust
  • Distributed Systems
  • Backend Engineering
Rust distributed task-runner - main architecture screenshot

Concurrent Job Execution

The task-runner uses Tokio's multi-threaded runtime to execute jobs concurrently across distributed worker pools. Workers listen for jobs, pull them from queues, and process them asynchronously with full isolation.

Failures are handled with structured retries, exponential backoff, and detailed logging for full transparency into worker behavior.

Rust worker pool and job scheduling flow

Tokio Runtime & Queue Architecture

Workers subscribe to distributed queues where tasks are published through Actix-Web services. The system ensures predictable scaling, high throughput, and complete decoupling between producers and consumers.

Tokio async code snippet
Tokio runtime logo
Tokio scheduling example

Observability & Logging

The task-runner integrates structured logs, metrics, and distributed tracing. This provides insight into queue delays, worker utilization, and system bottlenecks — critical for debugging distributed workloads.

Project Outcomes

The system delivers high performance under load, predictable job execution, and strong reliability. Built with clean modular architecture and modern Rust async features, it is suitable for production-grade distributed systems.

Final architecture visualization