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OA58662: LEVEL SET FIXES FOR IBM Z OPERATIONS ANALYTICS

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APAR status

  • Closed as program error.

Error description

  • Level set fixes for IBM Z Operations Analytics
    

Local fix

Problem summary

  • ****************************************************************
    * USERS AFFECTED: All users of IBM Z Operations Analytics      *
    *                 version 4.1                                  *
    ****************************************************************
    * PROBLEM DESCRIPTION: February 2020 Continuous Delivery       *
    *                      Updates                                 *
    ****************************************************************
    The following changes have been made:
    
    (1) This PTF significantly improves the anomaly detection
    algorithm for the metric-based machine learning capabilities
    released in IBM Z Operations Analytics 4.1.
    
    (2) This PTF further provides the following key enhancements,
    usability improvements and defect fixes:
    - 88: Ability to update Problem Insights insight packs in a
    single action
    - 120: db2health_pi.tar incorrectly named after SMP/E
    installation
    - 151: Create log collection utility for the machine learning
    system and Problem Insights server
    - 240: Support hostnames other than 'localhost' in the Problem
    Insights server configuration
    - 335: Provide utilities in the machine learning system CLI to
    tune Enterprise Data Warehouse performance
    - 427: Ability to configure ciphers for the Problem Insights
    server authentication
    - 466: Correctly display Subsystem Scorecard data in local
    browser time
    - 490: Enhanced Subsystem Scorecard UI in support of improved
    anomaly detection algorithm
    - 493: Improved behavior of Subsystem Scorecard UI time picker
    - 523: Ability to configure TCP/IP resolver in the Problem
    Insights server starter task
    - 1365: Ability to configure machine learning pipeline stages
    at runtime
    - 1435: Support for Elastic Stack V7
    - 1511: Ability to configure scoring interval of the
    Scoring Agent
    - 1553: Ability to configure machine learning parameters
    at runtime
    
    To deploy this PTF after installation, perform the following
    steps:
    (1) Back up any previously used configuration files.
    (2) Remove previously created instances of the machine learning
    system.
    (3) Remove any previously installed runtime environment for
    the machine learning system or the Problem Insights server.
    (4) Create a new runtime environment.
    (5) Create a new machine learning system instance.
    (6) Re-load any historical SMF data into the new instance.
    (7) Re-train any historical SMF data into the new instance.
    (8) Re-score any batch-scored SMF data into the new instance.
    See ++HOLD actions for further detail.
    

Problem conclusion

  • IZOA v4.1 is updated to introduce new features and fix the key
    problems described above
    

Temporary fix

Comments

APAR Information

  • APAR number

    OA58662

  • Reported component name

    IOAZ IDS

  • Reported component ID

    5698ABH02

  • Reported release

    410

  • Status

    CLOSED PER

  • PE

    NoPE

  • HIPER

    YesHIPER

  • Special Attention

    NoSpecatt / Xsystem

  • Submitted date

    2019-11-13

  • Closed date

    2020-02-19

  • Last modified date

    2020-03-02

  • APAR is sysrouted FROM one or more of the following:

  • APAR is sysrouted TO one or more of the following:

    UJ02155

Modules/Macros

  • GLA1001  GLA10081 GLA110TT GLACHPIT GLACHTGZ GLADBTGZ GLADHPIT
    GLAMBTGZ GLAMLTGZ GLAPISRV GLAPIZIP GLASETUP
    

Fix information

  • Fixed component name

    IOAZ IDS

  • Fixed component ID

    5698ABH02

Applicable component levels

  • R410 PSY UJ02155

       UP20/02/25 P F002 ¢

Fix is available

  • Select the PTF appropriate for your component level. You will be required to sign in. Distribution on physical media is not available in all countries.

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Document Information

Modified date:
14 December 2020