10 repositorios
An invoker that triggers functions through HTTP requests or publish-subscribe messaging for event-driven workloads.
Distinct from Event-Driven Triggers: Distinct from Event-Driven Triggers: focuses on the invoker component that triggers serverless functions specifically, not general workflow initiation.
Explore 10 awesome GitHub repositories matching devops & infrastructure · Serverless Function Invokers. Refine with filters or upvote what's useful.
Kubeless is a Kubernetes-native serverless framework that deploys and runs stateless functions as custom resources managed by an in-cluster controller. It functions as a Function-as-a-Service platform, launching function runtime pods on demand and scaling them to zero when idle to optimise resource usage. Functions are invoked automatically through HTTP requests or a publish-subscribe messaging bus, enabling event-driven execution for workloads and microservices. The platform supports running functions written in Golang, Python, Node.js, Ruby, PHP, .NET, and Ballerina, with the ability to add
An invoker that triggers functions through HTTP requests or publish-subscribe messaging for event-driven workloads.
Kubernetes-based, scale-to-zero, request-driven compute
Invokes a serverless function automatically when a matching CloudEvent arrives through the eventing mesh.
Inngest is a durable execution framework and event-driven automation engine designed to orchestrate background workflows. It enables developers to build resilient, stateful processes by memoizing function steps, ensuring that long-running tasks can automatically resume from the last successful operation after failures, timeouts, or infrastructure restarts. The platform distinguishes itself through its event-driven architecture, which uses a schema-validated bus to trigger functions and coordinate complex, multi-step logic. It employs an onion-model middleware approach for cross-cutting concer
Provides mechanisms to trigger and await results from asynchronous workflow functions to compose complex, multi-step processes.
ZenML is an orchestration platform designed for building, deploying, and monitoring reproducible machine learning pipelines and agentic workflows. It provides a unified framework that manages the entire lifecycle of machine learning assets, from data processing and model training to the deployment of persistent inference services. By decoupling pipeline logic from underlying compute and storage, the platform enables teams to transition workflows seamlessly from local development environments to production-grade cloud infrastructure. The platform distinguishes itself through a service-oriented
Publishes versioned pipeline routes and invokes them by tag or version for automated deployment workflows.
Este es un SDK de backend-as-a-service que conecta aplicaciones web y móviles a una suite de servicios en la nube. Proporciona una interfaz unificada para gestionar la identidad del usuario, ejecutar lógica serverless y manejar almacenamiento de objetos en la nube. El kit de herramientas se caracteriza por su sincronización de datos en tiempo real, que permite que los datos de documentos NoSQL se mantengan consistentes en múltiples clientes con persistencia offline integrada. Facilita el acceso seguro del usuario a través de una variedad de proveedores de identidad y gestiona la invocación de funciones serverless para ejecutar lógica de backend en respuesta a solicitudes HTTPS o eventos de base de datos. El SDK cubre una amplia gama de capacidades operativas, incluyendo gestión de bases de datos NoSQL y relacionales, monitoreo de fallos y análisis de comportamiento del usuario. También proporciona herramientas para la configuración remota de aplicaciones, notificaciones push dirigidas y la integración de modelos de lenguaje grandes para características potenciadas por IA. El proyecto está implementado en TypeScript y proporciona librerías específicas de lenguaje que abstraen APIs REST y WebSocket en métodos de alto nivel.
Provides a tool to trigger and execute remote serverless backend logic via HTTPS requests or event-driven triggers.
supabase-js is a comprehensive client library designed to integrate frontend applications with a hosted backend-as-a-service. It provides a unified interface for interacting with a PostgreSQL database, identity management systems, cloud object storage, and real-time data synchronization. The library features an isomorphic client design that operates across both browser and server environments. It distinguishes itself through a type-safe approach, utilizing TypeScript to map database schemas directly to client-side definitions, and employs a PostgREST-based API to translate JavaScript calls in
Invokes serverless edge functions and database procedures to execute custom business logic.
This is a serverless deployment command-line interface used for packaging, deploying, and managing the lifecycle of serverless functions in a cloud environment. It acts as a cloud service orchestrator to coordinate remote service registries, environment configurations, and custom domain routing. The tool provides a remote function invoker that maps local procedure calls to cloud endpoints via HTTPS and a distributed log aggregator to monitor execution logs for remote debugging. It manages secure access through a cloud identity manager that handles authentication tokens for API requests. The
Maps local procedure calls to remote cloud endpoints via HTTPS to trigger the execution of serverless functions.
This project serves as a comprehensive technical guide and framework for building, deploying, and managing event-driven applications. It focuses on serverless architecture development, providing patterns and practices for implementing cloud-native services that execute code in response to triggers without requiring persistent server infrastructure. The repository distinguishes itself by offering a unified approach to polyglot runtime orchestration, allowing developers to manage components written in multiple programming languages within a single project. It emphasizes local cloud emulation, e
Triggers deployed functions through command-line interfaces to test logic and inspect output in real-time.
The Event Gateway is a unified routing layer designed to connect HTTP requests and cloud events to serverless functions across multiple providers and infrastructure environments. It functions as a centralized platform for managing event-driven architectures, enabling developers to register, map, and trigger remote functions in response to incoming web traffic or asynchronous system events. The platform distinguishes itself through a plugin-based middleware pipeline that allows for custom logic execution during the request lifecycle, enabling developers to intercept, validate, or transform eve
Executes registered functions by triggering them via standard HTTP requests to specific paths.
El Functions Framework para Python es una biblioteca diseñada para construir y desplegar funciones serverless portátiles. Permite a los desarrolladores escribir código modular que se ejecuta en respuesta a solicitudes HTTP entrantes o eventos en la nube, abstrayendo la necesidad de gestionar la infraestructura de servidor subyacente o la lógica compleja de manejo de solicitudes. El framework se distingue por proporcionar un entorno de ejecución consistente que empaqueta el código en imágenes de contenedor portátiles, asegurando un comportamiento idéntico en diversas plataformas cloud-native. Utiliza el registro basado en decoradores para definir puntos de entrada de funciones e incluye un servidor de desarrollo local que emula entornos de producción, permitiendo probar y depurar en una máquina local antes del despliegue. El framework maneja la traducción de solicitudes web entrantes y eventos en la nube en objetos estructurados, adhiriéndose a definiciones de esquema de eventos estandarizadas y protocolos de interfaz de gateway. También incorpora la interceptación centralizada de errores para gestionar excepciones y facilitar respuestas personalizadas durante la ejecución de la función.
Provides a library for writing portable Python functions that execute in response to HTTP requests or cloud events.