Introduction to CICS Timing Metrics and Analysis
Concepts that enable you to optimize the value you can derive from the nearly 100 timing metrics captured in the CICS Transaction data are introduced in this video.
IntelliMagic Vision Adds CICS Statistics Automated Analysis
Nov 5, 2021 | IntelliMagic Vision for z/OS release 10.9.0 includes major enhancements to reporting on CICS SMF data letting you monitor the performance and resource usage of your mission critical applications and transactions.
The Most Comprehensive Mainframe Analytics Solution: IntelliMagic Vision
A comprehensive solution that is suitable for everyone from executives looking for cost savings and managing availability risks, to the experienced analyst looking for the most detailed insights.
Integrating RMF 71 Memory & Large Frame Metrics with SMF
Since Db2 is typically the largest exploiter of memory in general as well as of 1 MB and 2 GB large frames, visibility into memory, paging, and large frame metrics from RMF 71 data is of particular interest to Db2 teams.
Buffer Efficiency from Integrating IFCID 199 and SMF 42 Data
Integrating IFCID 199 and SMF 42 data provides a view of buffer efficiency enabling buffer misses (I/Os) to be further subdivided into cache hits and misses, which can be leveraged to further refine buffer pool tuning methodologies.
Is Some Automation Unnecessary Noise or Just Lower Priority Work?
Computers are great at doing what we tell them. They don’t get tired, bored, or complain about the endless work we have them doing. But sometimes automation is running in not so obvious places. Learn some practical guidance for managing those workloads.
zAcademy: z/OS Infrastructure Operations - 2020’s Biggest Challenges and Trends for 2021 Part 2
Learn best practices for an optimal environment, ranging from CPU Consumption and new pricing models to performance issues in Db2, CICS, and systems components.
zAcademy: z/OS Infrastructure Operations - 2020’s Biggest Challenges and Trends for 2021
Learn best practices for an optimal environment, ranging from CPU Consumption and new pricing models to performance issues in Db2, CICS, and systems components.
A Better Mainframe Gearbox for your DevOps Environment
DevOps is here, and it will continue to evolve. Learn how to optimize your DevOps environment and how to integrate your teams into the DevOps oriented environment.
Health Insights and Change Detection
To help enhance the value you can derive from that SMF data, IntelliMagic Vision provides two complementary types of automated anomaly detection: health insights and change detection.
CICS Max Tasks: Automated Change Detection Use Case 7
View a CICS Max Tasks use case where Change Detection and Health Assessments play complementary roles in flagging serious issues.
Batch Job Elapsed Time: Automated Change Detection Use Case 6
Elapsed and CPU times can be of interest for batch jobs, especially those on the critical path for key business job cycles. This use case reflects an abnormally long run time for a daily batch job, and illustrates how potential causes might be investigated.