CICS CPU Per Transaction: Automated Change Detection Use Case 3
This example identifies significant increases in CPU per transaction for selected transactions, isolates it to specific CICS regions, and investigates that further.
CPU by WLM Importance Level: Automated Change Detection Use Case 2
Leveraging context-sensitive drilldowns, based on an unanticipated finding of a spike in CPU consumption for the highest importance “Systems” work, this video investigates the address space(s) driving that.
CPU by System: Automated Change Detection Use Case 1
One common use case for Change Detection is identifying significant variances in key metrics at the system level including: CPU usage, zIIP usage, percent utilization of the CPC, etc.
Introduction to Automated Change Detection for z/OS Performance Management
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 Views
Troubleshoot High CPU and zIIP Utilization in WebSphere Application Server
A common problem performance analysts encounter is high CPU utilization on a server or application without the ability to identify the root cause of the problem quickly and easily.
Monitor WebSphere Data Volumes
This video introduces the topic of transaction reporting based on the SMF 120 subtype 9 record, specifically in terms of data volume per request/response.
Monitor WebSphere Response Times
This video introduces the topic of transaction response time reporting based on the SMF 120 subtype 9 record.
Monitor WebSphere Transactions
Each request that comes into WebSphere is considered a transaction and can be reported down to the level of URI name. These URI’s give you the names of specific resources or applications requested, and each individual request is logged.
How Do I Detect Imbalances in HPE 3PAR?
Not all imbalances are bad, but there are some that are potentially disastrous. In this video we will show you how you can easily identify and correct front-end imbalances within an HPE 3PAR storage system.