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5 repositorios

Awesome GitHub RepositoriesWeb-Based Job Management

Interfaces for deploying and managing distributed jobs via a web browser.

Distinct from Web Service Deployments: Shortlist candidates focus on web hosting or UI rendering; this is about operational job deployment via a dashboard.

Explore 5 awesome GitHub repositories matching devops & infrastructure · Web-Based Job Management. Refine with filters or upvote what's useful.

Awesome Web-Based Job Management GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • zhisheng17/flink-learningAvatar de zhisheng17

    zhisheng17/flink-learning

    15,071Ver en GitHub↗

    This project is a collection of educational resources and reference implementations for the Apache Flink stream processing framework. It provides a learning resource focused on mastering distributed stream processing through implementation guides, performance tuning tutorials, and practical examples. The repository features detailed walkthroughs for building real-time data pipelines using the DataStream and Table APIs. It includes specific integration examples for connecting Apache Flink with Kafka brokers and Elasticsearch indices, as well as reference implementations for real-time deduplica

    Allows uploading binaries and specifying entry classes to launch tasks via a web interface.

    Javaclickhouseelasticsearchflink
    Ver en GitHub↗15,071
  • travis-ci/travis-ciAvatar de travis-ci

    travis-ci/travis-ci

    8,490Ver en GitHub↗

    Travis CI is a continuous integration platform and CI/CD pipeline orchestrator that automates the testing and building of code changes from version control systems. It functions as a multi-language test runner and build infrastructure manager, ensuring software quality through automated testing across various programming languages and runtimes. The platform is distinguished by its use of virtual-machine-based isolation for reproducible environments and a configuration-driven approach to pipeline generation. It supports complex testing strategies through parallel matrix execution, allowing job

    Provides a web-based dashboard to monitor build status, job progress, and execution logs.

    Ver en GitHub↗8,490
  • weiye-jing/datax-webAvatar de WeiYe-Jing

    WeiYe-Jing/datax-web

    6,009Ver en GitHub↗

    DataX Web is a web-based management platform for scheduling, building, executing, and monitoring distributed data synchronization jobs powered by DataX. It provides a visual console for creating and managing DataX tasks without manual JSON configuration, with a distributed executor cluster that auto-registers worker nodes and supports configurable routing and blocking strategies for task distribution. The platform offers cron-based task scheduling with dynamic start, stop, and immediate status changes, along with incremental sync capabilities that pass dynamic parameters to extract only new o

    Generates DataX JSON configuration files through a web interface for job management.

    Java
    Ver en GitHub↗6,009
  • jhuckaby/cronicleAvatar de jhuckaby

    jhuckaby/Cronicle

    5,745Ver en GitHub↗

    Cronicle is a distributed job scheduler that replaces traditional cron with a browser-based management interface. It runs scheduled tasks across a cluster of servers with automatic failover, using a custom cron parser that intersects day-of-month and day-of-week constraints when both are specified. The system executes jobs through a plugin framework that runs command-line scripts in any language, communicating via JSON over standard input and output. The scheduler provides a web-based real-time dashboard for monitoring running jobs with live logs, resource usage charts, and progress updates.

    Provides a browser-based interface for real-time job monitoring, event configuration, and system dashboards.

    JavaScript
    Ver en GitHub↗5,745
  • google/clusterfuzzAvatar de google

    google/clusterfuzz

    5,574Ver en GitHub↗

    ClusterFuzz is an automated platform that runs coverage-guided fuzzers at scale to find security and stability bugs in software. It orchestrates libFuzzer and AFL++ across distributed clusters of worker bots, collecting coverage feedback to guide input mutation and discover crashes. The platform provides a web-based dashboard for configuring fuzzing jobs, monitoring progress, and inspecting crash reports, with role-based access control to restrict sensitive features. The system automates the full fuzzing lifecycle, from build pipeline integration and corpus management to crash triage and bug

    Provides a browser interface for defining and managing fuzzing jobs through environment variables and options.

    Pythonfuzzingsecuritystability
    Ver en GitHub↗5,574
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