5 dépôts
Controls and limits the maximum execution time allowed for automated tasks.
Distinct from Async Task Timeouts: The candidates focus on networking async timeouts or agentic cancellation rather than general build task time limits.
Explore 5 awesome GitHub repositories matching development tools & productivity · Task Timeout Management. Refine with filters or upvote what's useful.
定时任务管理系统
Stop a task that runs longer than a set limit to prevent runaway processes.
DataX Web is a web-based management platform for scheduling, building, executing, and monitoring distributed data synchronization jobs powered by DataX. It provides a visual console for creating and managing DataX tasks without manual JSON configuration, with a distributed executor cluster that auto-registers worker nodes and supports configurable routing and blocking strategies for task distribution. The platform offers cron-based task scheduling with dynamic start, stop, and immediate status changes, along with incremental sync capabilities that pass dynamic parameters to extract only new o
Set custom timeout and retry counts for tasks, with automatic interruption on timeout and email-based failure alerts that can extend to other channels.
Ce projet est un guide complet de programmation de performance et une référence pour le langage Go, se concentrant sur l'efficacité du runtime et l'optimisation de la mémoire. Il fournit une collection de modèles et de techniques conçus pour augmenter la vitesse d'exécution en réduisant la surcharge du garbage collector et en optimisant l'utilisation de la mémoire. La ressource se distingue par des implémentations de référence détaillées pour l'optimisation mémoire, telles que l'analyse d'échappement (escape analysis), le pooling d'objets et l'alignement mémoire des structures. Elle propose des stratégies spécifiques pour réduire la taille des binaires et améliorer l'efficacité du cache CPU grâce à l'optimisation de la disposition mémoire des structures et à l'utilisation de placeholders sans allocation. Le projet couvre un large éventail de capacités d'ingénierie backend, incluant la gestion de la concurrence avec des pools de workers et des primitives de synchronisation, le routage RPC et HTTP haute performance, et des stratégies de mise en cache distribuée. Il inclut également des conseils sur l'observabilité via le profilage CPU et mémoire, ainsi que des modèles d'assurance qualité pour les tests unitaires fonctionnels et la génération d'objets mock. Le contenu est structuré comme une série de tutoriels, d'exemples architecturaux et de guides de benchmarking pour aider les développeurs à analyser et corriger les goulots d'étranglement de performance.
Implements timers to detect when tasks exceed allotted time limits to prevent resource leaks.
Moon is a monorepo build system and task runner designed to orchestrate complex projects with multiple packages. It functions as a dependency graph orchestrator that executes build targets in topological order and utilizes input hashing to cache results and skip redundant work. The project features a polyglot toolchain manager that automates the installation and versioning of language runtimes and CLI tools to ensure environment consistency. It also includes a plugin framework based on WebAssembly, allowing developers to extend build logic and toolchain behavior using any supported language.
Limits the maximum execution time for a task before it is automatically cancelled.
Spring Retry is a Java library that provides exception handling, automated operation reattempts, backoff strategies, and recovery mechanisms for application workflows. It handles transient operation failures through declarative annotations, programmatic templates, stateful context storage, and fallback recovery paths. The library controls retry behavior by specifying attempt counts, timeouts, and inclusion or exclusion rules for specific exception types. It pauses execution between attempts using fixed, exponential, or randomized backoff intervals, and caches retry state outside the call stac
Controls retry behavior by specifying maximum attempt counts, timeouts, and inclusion or exclusion rules.