IBM’s MQ is a widely-used enterprise messaging solution, enabling independent and potentially non-concurrent applications to securely communicate with each other across platforms.
MQ administrators often indicate they face significant challenges leveraging the data contained in the MQ SMF 115 records. As a result they currently have limited visibility into the health and activity of their MQ subsystems. IntelliMagic Vision for z/OS provides the kind of automated intelligence needed to effectively manage today’s far-reaching MQ environments.
Automatically Manage MQ Performance
MQ performance is highly dependent upon data residing in buffer pools. The IntelliMagic Vision dashboard is automatically checking key metrics for the MQ Buffer Manager and can be a key enabler of proactive management of this critical aspect of the MQ configuration.
Key metrics include:
- Lowest Number of Free (Stealable) Buffers
- DASD Read Operations
- Deferred and Synchronous Write Threshold
- Suspended – No Free Buffers
Drilling down from here on subsystem MQTD (the red bubble) shows the deferred write threshold is being reached (causing asynchronous buffer destaging to occur) for buffer pools 2 and 5.
A further drill down shows how frequently this threshold is being reached and from what system(s). This information enables proactive action to be taken before performance could be impacted by severe buffer shortages.
MQ Log Manager
Another key component in the health of the MQ environment is the Log Manager. Numerous key metrics are continually checked by the IntelliMagic Vision Log Manager dashboard. In this example, the number of requests to force writes of log buffers to disk is highlighted for further analysis.
Log Manager Key Metrics:
- Write Request Rate
- Wait for Available Buffer
- Delayed Log Requests
- Resource Delayed Reads
- Log Write buffer Paged-in
- Checkpoints Issues
- Log Reads From Output Buffers, Active Log Data Set and Archive Log Data Set
- Compression and Decompress Failures
Additional analysis is available through drill-downs to indicate the frequency of these occurrences over the selected time interval.
IntelliMagic Vision applies built-in z/OS-specific subject matter expertise to check these MQ metrics and dozens of others to automatically check your MQ environment. It identifies areas that may represent risks to availability or performance that may warrant further investigation.
Reporting on z/OS Mainframe Application Performance – Part 1
Intelligent reporting on mainframe applications is very helpful to understand application performance and behavior on the mainframe, and how the applications are using your systems.
Integrating z/OS Performance Management with Splunk & Enterprise Dashboards
IntelliMagic Vision can export data into a Splunk-ready format, after which it can be imported into Splunk. This means not much data is ingested into Splunk, which can be a significant cost-saver.
Forecasting Usage and Capacity Growth
Processors are expensive, and that is why it is crucial to have an accurate understanding of how much capacity you are using and have left before you run out.