awesome-repositories.com
Blog
MCP
awesome-repositories.com

Entdecke die besten Open-Source-Repositories mit KI-gestützter Suche.

EntdeckenKuratierte SuchenOpen-Source-AlternativenSelf-hosted SoftwareBlogSitemap
ProjektÜber unsRanking-MethodikPresseMCP-Server
RechtlichesDatenschutzAGB
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·
douyu avatar

douyu/jupiter

0
View on GitHub↗
4,564 Stars·711 Forks·Go·Apache-2.0·4 Aufrufejupiter.douyu.com↗

Jupiter

Jupiter ist eine umfassende Suite für Task-Scheduling, Performance-Observability, Service-Governance, Projekt-Bootstrapping und Abhängigkeitsanalyse innerhalb von Service-Meshes. Sie bietet ein Microservice-Governance-Framework zur Verwaltung von Service-Discovery, Load-Balancing und Kommunikation über verteilte Systeme hinweg.

Das Projekt zeichnet sich durch ein Service-Mesh-Management-Tool aus, das Service-Abhängigkeiten analysiert und die Registrierung in mehreren Rechenzentren sowie die Laufzeitkonfiguration verwaltet. Es enthält einen dedizierten Microservice-Projekt-Bootstrapper über ein Command-Line-Tool, um standardisierte Projektstrukturen für die Erstellung und Bereitstellung neuer Dienste zu generieren.

Das System deckt ein breites Spektrum an Funktionen ab, einschließlich verteiltem Tracing und Monitoring zum Sammeln von Latenz- und Fehlermetriken, einem verteilten Task-Scheduler zur Koordination zeitgesteuerter Aufgaben über Serverinstanzen hinweg sowie zentralisierter Konfigurations- und Berechtigungsverwaltung. Es bietet zudem Laufzeit-Performance-Profiling durch Echtzeit-Sampling und standardisierte Fehlercode-Trennung, um die Ursachenanalyse zu beschleunigen.

Features

  • Service Governance - Provides a microservice governance framework to manage service discovery, load balancing, and communication across distributed systems.
  • Microservice Project Scaffolding - Ships a command-line tool for generating standardized project structures to simplify the creation and deployment of new services.
  • Centralized Configuration Management - Syncs service settings across different environments and versions through a remote center to control runtime behavior.
  • Distributed Task Coordination - Coordinates and synchronizes the execution of timed tasks across multiple server instances for consistent reliability.
  • Distributed Recurring Task Scheduling - Coordinates the execution of timed tasks across multiple server instances to ensure consistency and prevent duplicates.
  • Runtime Configuration Control - Enables real-time modification of running service behavior and dependency updates by syncing with remote configuration centers.
  • Service Meshes - Implements a service mesh management tool for analyzing dependencies and managing multi-data center registration.
  • Distributed Service Communications - Implements a governance framework for registering services across multiple data centers and managing network load balancing.
  • Service Discovery - Registers services across various physical locations and applies load balancing strategies to distribute network traffic.
  • Service Configuration Management - Syncs settings through files or remote centers to track versions and update dependencies across different environments.
  • Distributed Tracing - Collects latency, traffic, and error metrics with integrated slow log capture for distributed performance observability.
  • Service Dependency Analysis - Analyzes service configurations and module files to generate topology maps and version data for inter-service dependencies.
  • Real-Time Performance Profilers - Profiles live services through real-time sampling of resource consumption and latency to identify performance bottlenecks.
  • Centralized Permission Management - Features a centralized engine that restricts resource access and user roles to ensure secure feature availability.
  • Project Bootstrapping Tools - Provides a command-line tool to generate standardized project structures for the creation and deployment of new services.
  • Standardized Development - Bootstraps projects with a consistent structure and unified error coding to accelerate development.
  • Real-Time Application Performance Monitors - Tracks latency, traffic, and error metrics through real-time profiling and dashboards to identify system bottlenecks.
  • Connection Interception Observability - Intercepts database and cache connections to automatically capture performance metrics, slow logs, and distributed traces.
  • Data Access Observability - Wraps database and cache connections to automatically capture performance metrics, slow logs, and distributed traces.
  • Server Activity Logs - Records high-performance logs that automatically adjust detail levels based on the environment and capture slow requests.
  • Service Health Monitoring - Tracks application metrics and logs through visual dashboards to observe the current operational state of services.
  • Performance Profilers - Profiles live services using real-time sampling to identify performance bottlenecks and resource consumption.
  • Business Error Separation - Separates system errors from business errors to automatically generate documentation and accelerate root-cause analysis.
  • System-Business Error Separation - Divides system errors from business logic errors to automate documentation and accelerate root-cause analysis.

Star-Verlauf

Star-Verlauf für douyu/jupiterStar-Verlauf für douyu/jupiter

KI-Suche

Entdecke weitere awesome Repositories

Beschreibe in einfachen Worten, was du brauchst — die KI bewertet tausende kuratierte Open-Source-Projekte nach Relevanz.

Start searching with AI

Häufig gestellte Fragen

Was macht douyu/jupiter?

Jupiter ist eine umfassende Suite für Task-Scheduling, Performance-Observability, Service-Governance, Projekt-Bootstrapping und Abhängigkeitsanalyse innerhalb von Service-Meshes. Sie bietet ein Microservice-Governance-Framework zur Verwaltung von Service-Discovery, Load-Balancing und Kommunikation über verteilte Systeme hinweg.

Was sind die Hauptfunktionen von douyu/jupiter?

Die Hauptfunktionen von douyu/jupiter sind: Service Governance, Microservice Project Scaffolding, Centralized Configuration Management, Distributed Task Coordination, Distributed Recurring Task Scheduling, Runtime Configuration Control, Service Meshes, Distributed Service Communications.

Welche Open-Source-Alternativen gibt es zu douyu/jupiter?

Open-Source-Alternativen zu douyu/jupiter sind unter anderem: apache/dubbo-spring-boot-project — This project is an integration framework that bootstraps Apache Dubbo remote procedure call services within Spring… thinkgem/jeesite — Jeesite is a full-stack low-code development framework designed for building enterprise administrative portals using… apache/dubbo-go — Apache Dubbo Go is a Go language implementation of the Apache Dubbo framework designed for building high-performance… moleculerjs/moleculer — Moleculer is a Node.js microservices framework designed for building distributed systems. It functions as a… sofastack/sofa-rpc — Sofa-rpc is a high-performance remote procedure call framework designed for building distributed Java applications. It… zlt2000/microservices-platform — This project is a comprehensive enterprise architecture for building multi-tenant distributed systems, implemented as…

Open-Source-Alternativen zu Jupiter

Ähnliche Open-Source-Projekte, sortiert nach der Anzahl der gemeinsamen Funktionen mit Jupiter.
  • apache/dubbo-spring-boot-projectAvatar von apache

    apache/dubbo-spring-boot-project

    5,389Auf GitHub ansehen↗

    This project is an integration framework that bootstraps Apache Dubbo remote procedure call services within Spring Boot applications. It serves as a microservice communication framework that enables the implementation of RPC services, service discovery, and distributed governance through automated configuration. The project distinguishes itself by providing a cross-language RPC bridge, allowing services written in different languages to communicate via standards such as gRPC and Protobuf. It further enables the exposure of backend microservices as REST endpoints using the Triple protocol for

    Javadubbo
    Auf GitHub ansehen↗5,389
  • thinkgem/jeesiteAvatar von thinkgem

    thinkgem/jeesite

    8,044Auf GitHub ansehen↗

    Jeesite is a full-stack low-code development framework designed for building enterprise administrative portals using Spring Boot, MyBatis, and Vue. It functions as a comprehensive platform for creating administrative dashboards with integrated role-based access control and organizational data permission systems. The framework distinguishes itself through a combination of automated CRUD code generation and an integrated RAG platform that connects large language models to enterprise data via vector stores. It further incorporates a BPMN-based workflow engine to automate complex business process

    Vue
    Auf GitHub ansehen↗8,044
  • apache/dubbo-goAvatar von apache

    apache/dubbo-go

    4,938Auf GitHub ansehen↗

    Apache Dubbo Go is a Go language implementation of the Apache Dubbo framework designed for building high-performance microservices. It serves as a cross-language RPC framework and microservices communication layer that enables remote procedure calls between services written in different programming languages. The framework functions as a service governance toolset and a distributed service mesh proxy, allowing data planes to connect with external control planes in proxy or proxyless modes. It specifically provides a compatibility layer to facilitate communication between Go and Java-based ser

    Gogohttp2microservices
    Auf GitHub ansehen↗4,938
  • moleculerjs/moleculerAvatar von moleculerjs

    moleculerjs/moleculer

    6,373Auf GitHub ansehen↗

    Moleculer is a Node.js microservices framework designed for building distributed systems. It functions as a distributed service broker, task orchestrator, and service mesh framework, enabling a decentralized architecture with built-in service discovery and load balancing. The project differentiates itself through a pluggable transport layer supporting protocols such as NATS, Redis, TCP, and Kafka, as well as a dedicated microservices API gateway that maps external HTTP and WebSocket requests to internal service actions. It includes built-in fault tolerance mechanisms, including circuit breake

    JavaScript
    Auf GitHub ansehen↗6,373
Alle 30 Alternativen zu Jupiter anzeigen→