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IBM Spectrum Conductor with Spark Basic Configuration and Administration for Linux


The course is designed for the tuition of IBM Spectrum Conductor with Spark v2.2.
The course is designed to give system administrators the knowledge required to implement and maintain a working Conductor with Spark environment. They will gain solid understanding of the product's architecture and main features as well as workload resource management, cluster setup, configuration, and administration.
The workshops provide valuable hands-on experience with the installation of Conductor with Spark, cluster configuration and administration. The system administrators will also learn helpful hints and tips and develop fundamental troubleshooting skills.
Learning Journeys or Training Paths that reference this course:

  • IBM Spectrum Computing with Spark
    System administrators with basic knowledge of Linux, Spectrum LSF, and Spectrum Symphony, especially EGO.
    Introduction to Conductor with Spark
    Installation and configuration
    Cluster management
    Spark workload
    Scheduling and sharing
    Troubleshooting and debugging
    Additional features
    GPU scheduling
    Conductor with Spark on Docker
    Describe the product features and value proposition
    List the product basic concepts
    Describe the high-level architecture or Conductor with Spark
    Explain EGO resource manager
    List the product prerequisites
    Define the required settings and variables
    Perform a step-by-step installation
    Provide tools and tips for troubleshoot a failed or incomplete installation
    Check how to find setup guides for different installation options
    Perform cluster management operations
    Manage and monitor Spark applications
    Describe REST API integration
    Describe how scheduling works in Conductor with Spark
    Schedule batch applications by using the GUI
    Schedule batch applications by using the CLI
    Retrieve useful information (logs)
    Debug and troubleshoot Conductor with Spark
    Explain the performance achieved by Conductor with Spark under benchmark execution
    List additional features of Conductor with Spark and identify the suitable use cases
    Use GPUs in Conductor with Spark environments
    Explain the GPU workload scheduling mechanisms and GPU shuffle service
    Describe how the product integrates with Docker
    Use Docker with Conductor with Spark

Prezzo di listino

1.200,00 EUR + IVA


  • 14 ore
  • 2 giorni


Basic knowledge of Linux systems administration.
Basic knowledge about HPC solutions.
Previous experience in an EGO-based solution like IBM Spectrum Symphony or IBM Spectrum LSF is highly recommended.

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