Dino Explorer 2018


WLM Performance Reports to finetune WLM rules

  • Near real-time access to WLM metrics: Dino Explorer 2018 is now collecting SMF 72 related to WLM data. This helps users analyze and tune their WLM rules.
  • WLM performance follow-up: Users can track high priority workloads using the Performance Indicator feature. Thanks to graphs and tables, mainframe users can confirm goals are being met. If they are not, they can identify the cause and test the effect of corrections.
  • Profile analysis for WLM performance: In MSU Explorer, users can easily identify their WLM performance profile. They can understand the degree of normality or recurrence of a problem. With this information, experts can focus their efforts where and when it’s needed the most.
  • zIIP eligibility: MSU Explorer allows users to see the percentage of zIIP workloads running on CP. With this information, experts can determine if an investment on new zIIP processors is relevant to reduce mainframe costs.

Resource Consumption Reports to optimize system usage

  • MSU consumption follow-up: MSU Explorer helps users verify that system activity is well prioritized. For those experiencing performance issues, understanding consumption distribution can help uncover optimization opportunities.
  • Drill-down from sysplex to job name: Having a highly-specific view of consumption by importance allows global analysis of the WLM configuration. In the event system adjustments are necessary, an understanding of which LPARs, services classes, and jobs are involved helps uncover new optimization opportunities. Dino Explorer 2018 allows users to drill down into these questions directly from the graph.
  • Change of analysis axis on the fly: Users can now switch from one axis of analysis to another based on a selected data. This feature simplifies data analysis by providing an additional navigation method that complements the drill-down.
  • Container consumption follow-up: MSU Explorer shows MSU consumption by Tenant Resource Group. This makes it easier to track container consumption through TRG.
  • Processor load analysis: MSU Explorer shows the percentage of CPU usage to know if they are overused or not, depending on their type. This helps to understand whether it is necessary to invest in additional CPs or whether it is possible to optimize the use of zIIPs.
  • Capture ratio evolution: MSU Explorer shows evolution of the capture ratio that evaluates the machine’s performance and identify if there is not a problem at the machine level (production vs. internal management).

Hardware Performance Reports to track system bottlenecks

  • Near real-time access to HIS metrics: Users now have access to SMF 113 related to Hardware Instrumentation Services (HIS).
  • Cycles per instruction (CPI) follow-up: MSU Explorer shows the number of cycles per instruction of each LPAR. Users can now evaluate the performance of their hardware configuration and contact IBM if an anomaly is detected.
  • Relative Nest Intensity (RNI) follow-up: MSU Explorer displays the activity to the memory nest, namely, the distribution of activity to the shared caches and memory. The RNI (Relative Nest Intensity) enables users to track the level of activity to this part of the memory hierarchy. Put it simply: The higher the RNI, the deeper into the memory hierarchy the processor must go to retrieve the instructions and data for a workload.
  • Impact of cryptography on hardware performance: MSU Explorer allows to monitor the consumption dedicated to cryptography. Users can therefore know if they have enough cryptographic engines and if their sizing is correct to avoid delays on CP.

Soft Capping Performance Reports to analyze ASC’s decisions

  • Capping impact on system performance: AutoSoftCapping users can now track MSU and R4H consumption from CPC to LPAR and quickly identify capping periods. This allows them to understand how their machine works with ASC and adapt parameters accordingly.

MLC Cost Reports to monitor & optimize mainframe costs

  • SCRT analysis for cost optimization: Users can now load their SCRT reports inside MSU Explorer to analyze MLC costs in greater details. They can track the billing hour and related cost for each product and analyze product contribution to SCRT hour by hour.


RACF for Production Monitoring

  • RACF events analysis: Dino Explorer 2018 now collects SMF 80 related to RACF events. This allows users to understand if the slowdown or failure of a job is the result of a security access problem.

New metrics for Job Performance reports

  • New fields available for job analysis: Dino Explorer 2018 displays new fields related to jobs: Instruction counters, MSU consumption, zIIP on CP, zEDC activity (compression). This allows users to have more details on the execution of jobs and therefore to better understand their performance.

Dino Dataloader enhancements

  • Purge process optimization: Users can now limit the size of backup data and speed up the purge process by choosing a row count limit.
  • SCRT reports importation: Users can now upload their SCRT reports inside the Dino Explorer database.
  • DB2 & IMS data improvements: Aggregation of DB2 & IMS data has been improved to optimize storage space and speed up Dino Explorer queries.