6 dépôts
Utilities for managing server process lifecycles, including preforking and multi-core scaling.
Distinguishing note: Focuses on process-level concurrency and infrastructure scaling rather than application-level request handling.
Explore 6 awesome GitHub repositories matching devops & infrastructure · Process Management. Refine with filters or upvote what's useful.
Claude-mem is an agentic memory persistence system designed to provide AI assistants with long-term context across multiple development sessions. It functions as a background orchestrator that captures, summarizes, and indexes interaction history, allowing models to maintain continuity and recall technical decisions from past tasks. By utilizing a vector-augmented context engine, the system injects relevant historical observations into active sessions, ensuring that AI agents remain informed without exceeding finite token budgets. The project distinguishes itself through an endless memory arc
Manages worker processes using standardized scripts for status checks, starting, stopping, and logging.
Fiber is a high-performance web framework designed for building scalable HTTP services with minimal memory overhead. It provides a comprehensive runtime environment for managing the full request lifecycle, utilizing an optimized radix tree for high-speed route matching and an object pooling system to reduce garbage collection pressure during traffic processing. The framework distinguishes itself through its multi-process architecture, which supports prefork socket reuse to distribute incoming traffic across all available CPU cores. It offers a modular approach to application development, feat
The framework improves server performance on multi-core systems by spawning multiple child processes that share the same network port using operating system socket reuse.
Vapor is a comprehensive server-side web framework designed for building scalable, high-performance applications and APIs in Swift. It provides a non-blocking, event-loop-based runtime that manages concurrent task processing, background job queues, and asynchronous request handling. The framework is built around a dependency injection container that manages the lifecycle and resolution of services, configurations, and database connections throughout the request pipeline. The framework distinguishes itself through a protocol-oriented design that emphasizes type safety across all layers of the
Manages application processes with automatic restart and environment handling.
Linux-dash is a web-based system monitoring dashboard for Linux environments. It provides a visual interface for tracking hardware performance, system load, and real-time resource utilization. The project includes dedicated monitors for tracking the performance and resource usage of virtualized containers alongside a process manager for analyzing active system processes across the operating system. The dashboard covers several observability areas, including hardware performance monitoring for CPU and RAM, storage metrics for disk and swap space, and high-level system status overviews encompa
Provides oversight of active system processes and their resource consumption to identify server bottlenecks.
This project is a web development tutorial site and a Ruby on Rails learning resource designed as a beginner programming guide. It serves as a technical workshop curriculum and a structured framework for organizing and coaching community-led programming events. The site functions as a static site generator that converts Markdown content and templates into pre-rendered HTML pages. This architecture supports the delivery of step-by-step guides and instructional materials used to teach new learners how to build web applications. The content covers a broad range of capabilities, including Ruby o
Explains how to manage server processes, including restarting crashed instances and scaling resources.
This is an open-source, crowd-sourced wiki textbook that teaches Linux system programming in C. It covers the core operating system concepts of process management through the fork-exec-wait model, dynamic memory allocation using implicit free list heap allocators, inode-based file systems, inter-process communication via pipes and shared memory, POSIX threads with synchronization primitives, signal-based asynchronous notification, virtual memory with page table translation, and runtime diagnostics using Valgrind and GDB. The textbook distinguishes itself by providing practical, implementation
Teaches creating, forking, executing, and waiting for child processes with zombie cleanup.