11 dépôts
Developing and debugging a microservice locally while it interacts with real cluster dependencies such as databases and other services.
Distinct from Microservices Development: Distinct from Microservices Development: focuses on local debugging with live cluster dependencies, not general microservice architecture.
Explore 11 awesome GitHub repositories matching software engineering & architecture · Local Cluster Dependency Debugging. Refine with filters or upvote what's useful.
Agones is a Kubernetes game server orchestrator designed for hosting, scaling, and managing dedicated multiplayer game servers. It extends the Kubernetes control plane using custom resource definitions to define game server and fleet objects, utilizing a dedicated fleet manager to maintain pools of warm server instances. The system provides a game server SDK and language-specific client libraries that allow server processes to signal readiness, health, and shutdown states directly to the controller. It distinguishes itself through specialized scaling logic, including the use of WebAssembly mo
Provides environment simulation and conformance checking to test client SDK implementations without a full cluster.
Wing est un langage de programmation pour l'infrastructure cloud et un framework d'infrastructure-as-code qui unifie les définitions de ressources cloud et le code d'exécution de l'application dans un modèle de programmation unique. Il fonctionne comme une couche d'abstraction de ressources cloud, fournissant une bibliothèque standardisée pour écrire du code agnostique au cloud qui fonctionne sur plusieurs fournisseurs d'infrastructure différents. Le système inclut un simulateur d'application cloud qui fournit un environnement local pour tester et déboguer la logique cloud sans nécessiter de déploiement chez un fournisseur réel. Il propose également une génération automatique de politiques d'accès à l'infrastructure, qui crée des politiques de sécurité cloud et des permissions en analysant le code source de l'application. Le projet couvre de larges domaines de capacités, notamment l'orchestration de ressources cloud, le développement d'applications multi-cloud et l'intégration d'infrastructures externes. Il fournit en outre des outils pour gérer les opérations cloud via une console visuelle centrée sur l'application.
Provides a local environment that mimics cloud provider behavior for testing and debugging distributed cloud logic.
Ce projet est une collection d'implémentations de référence, d'exemples de code et de kits de démarrage pour intégrer les services backend Firebase dans des applications web en utilisant le SDK JavaScript. Il sert de guide pratique pour amorcer des projets avec une authentification hébergée dans le cloud, des bases de données et une logique serverless. Le dépôt fournit des exemples spécifiques pour implémenter la synchronisation de données en temps réel, la gestion d'identité utilisateur et les fonctions cloud pilotées par événements. Il inclut également du code de référence pour utiliser des émulateurs de service locaux afin de tester la fonctionnalité cloud sur une machine locale avant le déploiement en production. La base de code couvre un large éventail de capacités, notamment le stockage de données no-sql et relationnel, l'hébergement d'assets statiques sur un CDN mondial et l'application de règles de sécurité déclaratives. Elle démontre également l'intégration de la vérification d'identité et l'exécution de logique côté serveur dans des environnements gérés.
Includes reference code for using local service emulators to simulate cloud environments for development and testing.
serverless-offline est un plugin du Serverless Framework qui fournit un simulateur d'infrastructure cloud locale. Il agit comme un émulateur local AWS Lambda et un mock AWS API Gateway, permettant le développement et le test de fonctions serverless sur une machine locale sans déploiement vers un fournisseur distant. Le projet se distingue en simulant des connexions WebSocket bidirectionnelles et le routage de messages, ainsi qu'en mimant le cycle de vie des requêtes d'une passerelle HTTP. Il inclut un pipeline d'autorisation d'identité mock pour vérifier les jetons et JWT localement, et prend en charge le montage de couches de dépendances virtuelles dans l'environnement d'exécution. Globalement, l'outil couvre l'exécution de fonctions sur plusieurs runtimes avec des modes d'exécution isolés, l'émulation de passerelle cloud pour le routage des requêtes, et la simulation de déclencheurs d'événements planifiés pour la logique temporelle. Il fournit également des capacités de simulation d'invocation SDK et de mock de contexte de requête pour faciliter les tests d'intégration locaux.
Provides a comprehensive local simulation of serverless events, WebSocket connections, and SDK invocations.
mirrord is a developer tool that runs a local process inside the network, environment, and filesystem context of a live Kubernetes pod. It duplicates a pod's incoming traffic, environment variables, and file system onto the local machine, making the local process behave as if it were deployed in the cluster — without modifying code or redeploying. The tool achieves this through a combination of eBPF-based system call interception and a lightweight sidecar agent deployed in the target pod. eBPF intercepts network, file, and process calls from the local process, routing them through the cluster
Run a locally debugged process inside a cluster container to receive real traffic and inherit its environment.
Weaver is a distributed application framework and remote procedure call system that allows developers to organize logic into independent components. It provides a multi-process execution environment where these components communicate via automated serialization, enabling applications to run as a single unit locally or as a distributed system across multiple cloud machines. The framework distinguishes itself through a configuration-driven topology mapping that allows the same logic to execute as a local function call or a remote network request without altering the business logic. It includes
Enables developers to run and debug distributed component logic on a local machine before deploying to the cloud.
This project is an edge computing development toolkit and serverless command line interface used to develop, test, and deploy serverless functions to a global edge network. It serves as an edge runtime bundler and resource orchestrator, managing the entire lifecycle of edge projects from local development to worldwide distribution. The toolkit distinguishes itself through distributed workflow management, coordinating stateful instances and the durable execution of long-running processes across the edge. It also provides specialized integrations for edge AI, including the management of vector
Emulates a cloud-based execution environment locally to test and debug worker scripts.
Floem is a native desktop UI framework and cross-platform toolkit for building high-performance user interfaces. It functions as a reactive UI library that uses a signal-based state management system to automatically synchronize the interface with data changes via lightweight observable primitives. The framework utilizes a GPU-accelerated rendering engine to ensure visual consistency and high performance across different desktop operating systems. It features a layout engine based on flexible box and grid models to create responsive screens that adapt to various window sizes. The toolkit cov
Routes network traffic from remote clusters to a local machine for real-time inspection and debugging.
This project is a serverless application framework used to define and deploy cloud infrastructure, serverless APIs, and static frontends through infrastructure as code. It functions as a full stack deployment pipeline and a cloud infrastructure orchestrator for provisioning resources like databases and storage buckets across multiple cloud accounts. The framework includes a local cloud development environment that allows for testing and debugging API endpoints and cloud functions on a local machine before deployment. It also features a containerized build pipeline specifically designed to con
Provides a local execution engine to simulate and debug cloud functions and API endpoints before deployment.
This project is a declarative container orchestration standard and a vendor-neutral application model. It provides a portable configuration format for describing multi-container applications, including their services and dependencies, to enable consistent deployments across different environments. The specification focuses on cloud-agnostic deployment, allowing application definitions to be translated into platform-specific resources for various container orchestrators and cloud provider APIs, including Kubernetes. It facilitates portability from local development to production by separating
Implements a mocking layer that replaces production-grade secrets and cloud configurations with local file-system equivalents.
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
Simulates production cloud environments on local machines to validate function logic and infrastructure configurations.