laravel/octane
Octane
Octane ist ein PHP-Anwendungsserver-Beschleuniger und Prozessmanager, der eine Anwendung in den Arbeitsspeicher lädt, um den Start-Overhead zu eliminieren, der mit jeder einzelnen Anfrage verbunden ist. Er fungiert als Laufzeitbrücke für High-Concurrency-Engines wie Swoole und RoadRunner und nutzt persistente Worker-Prozesse, um eingehende HTTP-Anfragen zu verarbeiten.
Das Projekt enthält einen In-Memory-Anwendungszustandsmanager, der atomare Tabellen verwendet, um Daten über Worker hinweg zu teilen, sowie einen Concurrent-Task-Runner, der mehrere Operationen parallel ausführt, um die Gesamtlatenz der Anfragen zu reduzieren. Es verwaltet zudem Worker-Lebenszyklen, indem Prozesse nach einer festgelegten Anzahl von Anfragen neu gestartet werden, um Speicherlecks zu verhindern.
Zusätzliche Funktionen decken periodische Hintergrundaufgabenplanung und automatisiertes Development-Reloading ab, das den Quellcode auf Änderungen überwacht, um Server-Neustarts auszulösen.
Features
- In-Memory Residency - Maintains the application framework in memory across requests to eliminate repetitive startup overhead.
- PHP Application Servers - Implements a high-performance server that boots the application into memory to eliminate request startup overhead.
- Worker Process Shared Memory - Uses atomic in-memory tables to share and synchronize data rapidly across multiple worker processes.
- Concurrent Task Execution - Runs multiple operations in parallel using background workers to reduce total request completion time.
- Bootstrapping Optimizations - Accelerates request handling by keeping the application booted in memory to eliminate per-request startup overhead.
- PHP Process Managers - Manages the lifecycle of PHP worker processes, including automatic cycling to prevent memory leaks.
- Worker Mode Runtimes - Integrates with high-concurrency engines like Swoole and RoadRunner to provide a worker-based execution model.
- Concurrent Task Runners - Provides a mechanism to execute multiple PHP operations in parallel to reduce request latency.
- Parallel Task Execution - Implements a system for executing multiple asynchronous operations simultaneously to reduce total request latency.
- Multi-Process Request Handling - Distributes HTTP requests to a pool of long-lived worker processes to maximize concurrency and throughput.
- High-Performance Data Infrastructures - Implements high-performance in-memory tables for rapid read and write operations across server workers.
- In-Memory State Stores - Provides an atomic in-memory table system to share application state across multiple worker processes.
- In-Memory Worker State - Shares and updates high-speed application state across multiple server workers using in-memory tables.
- Process Cycling - Restarts worker processes after a set number of requests to mitigate potential memory leaks.
- Worker Process Management - Manages the number of active workers and implements request limits to ensure stable resource usage.
- Fixed Interval Schedulers - Executes recurring background logic at fixed time intervals using a persistent server loop.
- Recurring Task Schedulers - Runs recurring application logic and startup callbacks at fixed intervals without using external cron jobs.
- Request Performance Metrics - Boosts performance by removing the time spent reloading core components during every incoming request.
