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master-slave-architecture

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☕ A Distributed Task Scheduling System is a software infrastructure that allows for the distribution and execution of tasks across multiple nodes in a network. It enhances the efficiency and scalability of large-scale computation and data processing tasks by dividing complex tasks into smaller sub-tasks and distributing them.

  • Updated May 26, 2025
  • Java

basic implementation of distributed computing using Python's socket programming. It showcases how a master node can distribute tasks to multiple slave nodes and aggregate the computed results. This example is intended for educational purposes to understand the fundamentals of network programming and distributed computing architectures.

  • Updated Mar 16, 2024
  • Python

This repository provides a practical implementation of a PostgreSQL master-slave replication setup using Change Data Capture (CDC) and RisingWave. It demonstrates how to configure logical replication between a master and slave PostgreSQL instance, and how to stream real-time changes into RisingWave for further processing.

  • Updated Jun 30, 2025
  • Python

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