Job Creation: Allow users to create and define jobs, specifying parameters such as job name, description, execution commands, and dependencies.
Job Configuration: Enable configuration of job-specific settings, including priority, retries, timeout, and resource requirements.
Scheduling and Execution
Scheduling: Provide options to schedule jobs at specific times or intervals (e.g., hourly, daily, weekly). Support cron-style scheduling for complex timing requirements.
Execution: Automatically execute jobs according to the defined schedule and handle job start, stop, and restart operations.
Dependency Management
Job Dependencies: Define and manage job dependencies, ensuring that jobs are executed in the correct order based on their dependencies.
Conditional Execution: Support conditional execution of jobs based on the success or failure of previous jobs.
Resource Management
Resource Allocation: Manage and allocate system resources required for job execution (e.g., CPU, memory, storage).
Resource Scheduling: Ensure efficient utilization of resources by managing job execution times and resource allocation.
Monitoring and Reporting
Job Monitoring: Monitor the status of running, scheduled, and completed jobs, including real-time updates and alerts for job status changes.
Reporting: Generate reports on job execution history, job performance, and resource usage. Provide detailed logs for troubleshooting and analysis.
Alerting and Notifications
Alerts: Send alerts for job failures, delays, or any issues encountered during job execution. Support customizable alert thresholds and conditions.
Notifications: Provide notifications via email, SMS, or in-system messages to inform users about job status and important events.
User Management and Access Control
User Roles: Define and manage user roles with specific permissions related to job scheduling, configuration, and monitoring.
Access Control: Implement role-based access control to ensure users can only access features and data relevant to their roles.
Job Lifecycle Management
Job Execution History: Maintain a history of job executions, including timestamps, statuses, and execution details.
Job Archiving: Provide options for archiving completed jobs and their associated data for future reference.
Error Handling and Recovery
Error Detection: Detect and log errors or failures during job execution. Provide detailed error messages for troubleshooting.
Retry Mechanism: Implement retry mechanisms for failed jobs based on configurable parameters.
Integration
External Systems: Integrate with other systems and tools, such as databases, applications, and enterprise resource planning (ERP) systems, for job execution and data exchange.
APIs: Provide APIs for programmatic access to job scheduling, monitoring, and configuration.
Non-Functional Requirements
Performance
Response Time: Ensure quick response times for job scheduling, execution, and monitoring.
Scalability: Design the system to handle increasing numbers of jobs and users without performance degradation.
Reliability
Uptime: Aim for high system availability with minimal downtime (e.g., 99.9% uptime).
Fault Tolerance: Implement fault-tolerant mechanisms to ensure continuous operation even in case of system failures.
Security
Data Protection: Encrypt sensitive data related to job configurations, execution details, and user information.
Access Control: Implement strong authentication and authorization mechanisms to prevent unauthorized access to the system.
Usability
User Interface: Design an intuitive and user-friendly interface for job scheduling, configuration, and monitoring.
Accessibility: Ensure the system is accessible to users with disabilities, complying with standards such as WCAG (Web Content Accessibility Guidelines).
Compatibility
Platform Support: Ensure compatibility with various operating systems, environments, and job execution platforms.
Integration: Support integration with other tools and systems, including job management and monitoring tools.
Maintainability
Code Quality: Develop clean, well-documented code to facilitate maintenance and future updates.
Modular Design: Use a modular architecture to allow for easy enhancements and scalability.
Backup and Recovery
Data Backup: Implement regular automated backups of job configurations, schedules, and execution history.
Disaster Recovery: Develop and test a disaster recovery plan to restore system functionality in case of major failures.
Support and Documentation
Help Desk: Provide support through helpdesk tickets, live chat, or email.
Documentation: Offer comprehensive user guides, system manuals, and troubleshooting documentation.
Scalability
System Growth: Design the system to accommodate future growth in the number of jobs, users, and system complexity.
Load Handling: Ensure the system can manage varying loads and peak usage times effectively.
Data Integrity
Consistency: Ensure the consistency and accuracy of job scheduling data and execution results.
Validation: Implement data validation rules to prevent incorrect or incomplete job configurations.
