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Jobs - Tutorials

The Vantage platform provites lifecycle and collaboration for job-scripts, job-templates, and job-submissions.

Access Methods​

You can submit, monitor, and manage jobs using several powerful interfaces:

1. Vantage Web UI​

The Vantage Web UI offers an intuitive, user-friendly interface for:

  • Submitting new jobs to any connected cluster
  • Monitoring job status and logs in real time
  • Managing job templates and job history
  • Visualizing resource usage and job outcomes

2. jobbergate-cli (Command Line Interface)​

For users who prefer the command line, the jobbergate-cli tool provides:

  • Job submission and management directly from your terminal
  • Automation of batch job workflows
  • Integration with scripts and CI/CD pipelines

Install with:

pip install jobbergate-cli

See the jobbergate-cli documentation for usage examples.

3. Vantage Compute API​

Advanced users and developers can interact with jobs programmatically using the Vantage Compute Jobbergate API:

  • Submit, query, and manage jobs via REST endpoints
  • Integrate Vantage with external systems and custom applications
  • Automate complex workflows at scale

Explore the API documentation for details and code samples.

4. jobbergate-core Python Library​

For Python developers, the jobbergate-core library enables:

  • Programmatic job submission and management from Python scripts
  • Building custom job templates and automation tools
  • Deep integration with scientific and engineering workflows

What You'll Learn​

These job tutorials cover:

  • Job Submission: Creating and submitting various types of computational jobs
  • Resource Management: Optimizing CPU, GPU, and memory allocation
  • Job Monitoring: Tracking job progress and performance metrics
  • Workflow Automation: Building complex multi-step computational pipelines
  • Optimization Techniques: Improving job performance and resource utilization
  • Troubleshooting: Diagnosing and resolving common job execution issues

Prerequisites​

Before starting these tutorials, you should have:

  • Access to a Vantage Compute environment with configured clusters
  • Basic understanding of command-line interfaces
  • Familiarity with computational workloads and resource requirements
  • Sample datasets or computational tasks to practice with

Tutorial Series​

Basic Job Submission​

Difficulty: Beginner
Duration: 30-45 minutes

Learn the fundamentals of job submission, including creating job scripts, specifying resource requirements, and monitoring job execution.

Advanced Job Management​

Difficulty: Intermediate
Duration: 1-2 hours

Explore complex job configurations, dependency management, array jobs, and advanced scheduling techniques.

Workflow Automation​

Difficulty: Advanced
Duration: 2-3 hours

Build sophisticated computational pipelines with multiple steps, conditional execution, and automated result processing.

Common Job Types​

These tutorials cover various computational scenarios:

  • CPU-intensive workloads: Scientific simulations, data processing, and analysis
  • GPU computing: Machine learning training, rendering, and parallel computing
  • Memory-intensive tasks: Large dataset analysis and in-memory computing
  • I/O-heavy jobs: Data transfer, file processing, and database operations
  • Interactive jobs: Development and debugging workflows

Optimization Strategies​

Learn to optimize jobs for:

  • Performance: Maximizing computational throughput
  • Cost: Minimizing resource costs while meeting deadlines
  • Resource Utilization: Efficient use of CPU, GPU, and memory
  • Queue Time: Reducing wait times through smart scheduling
  • Energy Efficiency: Sustainable computing practices

Best Practices Covered​

Throughout these tutorials, you'll learn:

  • Resource Estimation: Accurately predicting job requirements
  • Error Handling: Building robust jobs that handle failures gracefully
  • Data Management: Efficient input/output strategies
  • Monitoring Setup: Establishing comprehensive job monitoring
  • Security: Implementing proper access controls and data protection

Getting Help​

If you encounter issues during these tutorials:

  • Check the troubleshooting sections within each tutorial

  • Contact support for additional assistance

Next Steps​

After completing these tutorials, consider exploring: