Code Exchange - Cross-Language Data Processing Service with Temporal

A practical demonstration of building a robust, scalable, and language-agnostic data processing pipeline using Temporal. Seamlessly orchestrates workflows across Go, Python, and TypeScript—perfectly suited for polyglot development teams.

Overview#

This project demonstrates how Temporal empowers teams to seamlessly orchestrate complex data processing workflows across multiple programming languages. Specifically, it showcases how Go, Python, and TypeScript can interoperate smoothly within a single, scalable workflow.

Key Features#

⚙️ Polyglot Workflow Integration: Easily orchestrate and manage services developed in multiple languages, providing flexibility and efficiency in your workflows.

🚀 Scalable and Extensible Architecture: Designed for horizontal scalability, allowing workflows to handle increasing workloads gracefully.

🛡️ Robust Error Handling: Implements Temporal’s powerful retry mechanisms, ensuring that workflows remain resilient and fault-tolerant.

Additional Resources#

📝 Detailed Guide: Building a Cross-Language Data Processing Service with Temporal

📁 Source Code & Examples: GitHub Repository

Workflow Architecture Diagram#

Cross-Language Data Processing Service with Temporal Workflow Architecture Diagram

Cross-Language Data Processing Service with Temporal Temporal UI