OA65848: CONTINUOUS DELIVERY SL 15

Obtain the fix for this APAR.

APAR status

• Closed as new function.

Error description

• Continuous Delivery SL 15
  

Local fix

Problem summary

• ****************************************************************
  * USERS AFFECTED: All user of IBM Z Anomaly Analytics 5.1      *
  ****************************************************************
  * PROBLEM DESCRIPTION: These PTFs are a continuous delivery    *
  *                      release fixing problems and adding      *
  *                      functionality.  See the Problem Summary *
  *                      for the list.                           *
  ****************************************************************
  * RECOMMENDATION: Install these PTFs.                          *
  ****************************************************************
  Log-based machine learning and metric-based machine learning
  cannot be deployed together on the same platform. Log-based
  machine learning can only be deployed on Linux and metric-based
  machine learning can only be deployed on z/OS UNIX System
  Services. Deploying different components of the product on
  different platforms increases the time and coordination between
  platforms required to install and configure the product.
  
  Metric-based machine learning takes a long time to deploy.
  There are many prerequisites required and configuration options
  that must be set. This makes installation and configuration
  time-consuming and error-prone.
  
  Metric-based machine learning uses significant CPU (both GP and
  zIIP) for scoring.
  

Problem conclusion

• Beginning with service level 5.1.x.15 (this PTF), metric-based
  machine learning can be deployed on Linux alongside of
  log-based machine learning and the Problem Insights server.
  This decreases the time and coordination between platforms
  required to install and configure the product. Z Common Data
  Provider is the only component that must still be deployed on
  z/OS.
  
  Beginning with service level 5.1.x.15 (this PTF), metric-based
  machine learning can be deployed on Linux. When metric-based
  machine learning is deployed in this way, Machine Learning for
  IBM z/OS and Db2 for z/OS are not required or used. Training of
  analysis models and scoring are performed internally, and data,
  scores and models are stored in an internal document store.
  Also, the configuration options are reduced by more than 95%.
  This significantly decreases the time required to install and
  configure the product.
  
  
  Beginning with service level 5.1.x.15 (this PTF), metric-based
  machine learning can be deployed on Linux. When metric-based
  machine learning is deployed in this way, scoring throughput is
  significantly improved and CPU overhead is significantly
  reduced. Memory utilization is also improved.
  

Temporary fix

Comments

APAR Information

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

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

  OA65875 UJ94842

Modules/Macros

• AIH071PG AIH074RQ AIH1001  AIH10021 AIH10023 AIH10041 AIH10062
  AIH10091 AIH115BP AIH115CF AIH115S2 AIH6E210 AIH6E262 AIHI4502
  AIHI4506 AIHI56FA AIHIMGP2
  

Fix information

• Fixed component name

  Z ANAL ANALYTIC

• Fixed component ID

  5698ABH06

Applicable component levels

• R510 PSY UJ94842

     UP24/03/19 P F403  

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.