https://github.com/paganini2008/amber-job
Amber Job is a state-of-the-art distributed task scheduling framework built on Spring Cloud and Quartz, designed for seamless microservices integration. It features a powerful Web UI for dynamically creating, modifying, and managing tasks with real-time monitoring and detailed execution logs.
https://github.com/paganini2008/amber-job
angular postgresql quartz springcloud
Last synced: about 1 month ago
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Amber Job is a state-of-the-art distributed task scheduling framework built on Spring Cloud and Quartz, designed for seamless microservices integration. It features a powerful Web UI for dynamically creating, modifying, and managing tasks with real-time monitoring and detailed execution logs.
- Host: GitHub
- URL: https://github.com/paganini2008/amber-job
- Owner: paganini2008
- License: mit
- Created: 2025-01-01T08:52:52.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-05T05:34:53.000Z (over 1 year ago)
- Last Synced: 2025-01-05T06:23:45.878Z (over 1 year ago)
- Topics: angular, postgresql, quartz, springcloud
- Language: HTML
- Homepage:
- Size: 163 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Amber Job
[](LICENSE)
[](https://spring.io/projects/spring-cloud)
[](https://www.quartz-scheduler.org/)
Amber Job is a cutting-edge **distributed task scheduling framework** designed to simplify and enhance job scheduling in modern microservices architectures. Built on top of **Spring Cloud** and **Quartz**, Amber Job enables dynamic and distributed task execution with built-in support for load balancing, failure handling, and extensive monitoring capabilities. With its flexible design and intuitive UI, it is an ideal solution for developers and enterprises aiming to manage complex scheduling ...
---
## Key Features
### 1. Dynamic Task Management with Intuitive UI
Amber Job provides a user-friendly web interface for managing tasks dynamically. Key capabilities include:
- **Create, Modify, and Delete Tasks**: Define task properties and schedules effortlessly.
- **Trigger Management**: Update task triggers in real-time without restarting services.
- **Detailed Logs**: View task execution details, including runtime logs and error traces, for precise debugging and monitoring.
---
### 2. Distributed Task Execution and Load Balancing
Amber Job leverages **Spring Cloud** and **Quartz** to achieve seamless distributed task execution. Features include:
- **Microservices Integration**: Execute tasks across multiple microservices in a coordinated manner.
- **Load Balancing**: Supports advanced load balancing algorithms, ensuring efficient resource utilization.
- **High Availability**: Automatically redistributes tasks in case of node failure, ensuring fault tolerance and reliability.
---
### 3. Robust Failure Handling and Retry Mechanisms
Amber Job incorporates sophisticated failure handling strategies to ensure task reliability:
- **Automatic Retries**: Retries failed tasks based on customizable retry policies.
- **Error Logging**: Maintains comprehensive error logs for detailed analysis.
- **Failure Notifications**: Alerts developers about task failures to facilitate proactive resolution.
---
### 4. Future-Ready Architecture
Amber Job is designed to adapt to evolving requirements with planned support for:
- **DAG (Directed Acyclic Graph)**: Define complex workflows with dependencies between tasks.
- **Batch Task Processing**: Execute bulk tasks with optimized performance and resource allocation.
- **Pluggable Algorithms**: Extend load balancing and retry mechanisms with custom algorithms.
---
### 5. Seamless Scalability and Extensibility
Amber Job’s architecture ensures seamless scalability and extensibility:
- **Horizontal Scaling**: Add nodes to the cluster dynamically to handle increasing workloads.
- **Customizable Modules**: Extend functionality with plugins for specialized use cases.
- **Cloud-Native Support**: Integrates effortlessly with cloud-based platforms and orchestration tools like Kubernetes.
---
## Getting Started
### Prerequisites
- **Java 17+**
- **Spring Cloud Environment**
- **Database Support** (MySQL, PostgreSQL, or others for Quartz persistence)
### Installation
1. Clone the repository:
```bash
git clone https://github.com/paganini2008/amber-job.git
cd amber-job
```
2. Build and run the application:
```bash
mvn clean install
java -jar target/amber-job.jar
```
3. Access the web UI at `http://localhost:8080` to start managing tasks.
---
## Documentation
For detailed guides and API references, visit the [Official Documentation](https://github.com/paganini2008/amber-job/wiki).
---
## Contributing
Contributions are welcome! Refer to the [Contributing Guide](CONTRIBUTING.md) for instructions.
---
## License
Amber Job is licensed under the MIT License. See the [LICENSE](LICENSE) file for more details.
---
Amber Job empowers developers to manage distributed tasks with precision, flexibility, and ease. Whether you are orchestrating simple schedules or complex workflows, Amber Job provides the tools and features to streamline your operations and maximize productivity.