About This Architecture

TaskManager scheduling and execution flow coordinates asynchronous task processing across clients, timers, workers, and persistent storage. The Client submits tasks to TaskManager, which orchestrates scheduling via a Scheduler/Timer, persists task state in a multi-table Database (tasks, notification_tasks, nextcloud_tasks), and delegates execution to Task Executor/Worker instances. TaskManager acts as the central hub, managing task lifecycle from submission through completion with bidirectional communication to all components. This architecture decouples task submission from execution, enabling scalable, resilient background job processing. Fork this diagram on Diagrams.so to customize task types, add retry logic, or integrate additional workers and data stores.

People also ask

How does a TaskManager coordinate task scheduling, execution, and persistence across multiple workers and clients?

A TaskManager acts as a central orchestrator receiving tasks from clients, persisting them in a multi-table database (tasks, notification_tasks, nextcloud_tasks), triggering execution via a Scheduler/Timer, and delegating work to Task Executor/Worker instances. This decoupled architecture enables scalable asynchronous processing with reliable state management.

TaskManager Scheduling and Execution Flow

Autointermediatetask-schedulingasynchronous-processingjob-queueworker-patterndatabase-persistenceorchestration
Domain: Software ArchitectureAudience: backend engineers designing task scheduling and execution systems
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Created by

August 10, 2026

Updated

August 11, 2026 at 8:30 AM

Type

sequence

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