This blog is designed to walk you through the process of pinpointing and resolving performance issues in a B2B Integrator.
Signs of a slow-performing application can manifest in different ways, including unusual
In such a scenario, the initial step involves checking the accessibility of the Queue Watcher UI, which is the monitoring interface packaged with Sterling Integrator.
If the Queue Watcher responds, it serves as a valuable tool for pinpointing the root cause of the issue.
Utilized for comprehending the current internal activity of the primary B2B processing engine, the QueueWatch interface aids in the identification of problematic code and provides insights necessary for accurately tuning the application.
Access Queue Watcher by navigating to https://yourB2BServerHostname:Port/QueueWatch.
To gain insights into the ongoing processes, click on the first link titled “View Active Threads for All Queues.“
From this point, you can observe all presently active processes, displayed at the bottom under “List of Working Threads,” along with the processing backlog indicated by “Queue Depth.”
In the provided illustration, 19 Business Processes are in queue 1, awaiting execution threads, with a maximum capacity of 1 thread. It is evident that the currently executing Business Process is sluggish, characterized by a substantial number of steps (i.e., 48034).
Here’s another example below, illustrating a scenario where over 100,000 business processes are queued in queue 7. This queue is currently utilizing 80 execution threads out of a maximum capacity of 120:
Queueing is a standard practice in the application, serving the purpose of ensuring efficient workload processing within the limits of current system resources and the configured maximum global threads. These queues are adaptable and can be fine-tuned to give priority to specific tasks.
It is also possible to change the queues configuration dynamically in Queue Watcher without restarting the application (tip unknown to many users). The dynamic changes, obviously, will be lost after restart.
For lasting modifications to the queue configuration, ensuring persistence between restarts, employ the Performance Tuning Wizard accessible through the Dashboard interface (Operations/System/Performance/Tuning). These changes can be saved in costumer_overrides.properties to make them permanent.
Dynamic adjustments to the queues can aid in promptly clearing queues under specific circumstances.
Here’s how to dynamically alter the queues configuration:
To enhance parallel processing, it’s necessary to modify the queue configuration to allow for a greater number of threads to run concurrently. In the given example, the maximum number of threads for Queue 1 was adjusted from 1 to 10:
Return to the “Active Threads for All Queues” page.
You should now notice the presence of multiple threads running concurrently:
While this post won’t delve into the details of tuning system queues, the tip provided could prove highly beneficial in certain scenarios.
Now, let’s revisit the initial question: Why is the application experiencing slow performance?
If you observe that the Business Processes (BPs) are taking longer than usual, you can inspect the thread execution stack trace (second tip):
On the Queue Watcher main page, locate the option for “View Queue Threads”:
Subsequently, click on the “stacksize” link, identified as the 13th link in blue below:
Now, you can examine precisely what your Business Process (BP) is doing.
In the provided example, it is evident that the thread is in a TIMED WAITING state. By scrutinizing the method details, it becomes clear that the code is currently within the SleepyService.
In the second example below, it is apparent that the Business Process (BP) is engaged in performing some database operations:
Following this, you can refresh the stack trace page to ascertain whether the Business Process (BP) is progressing or consistently stuck in the same operation. This provides an initial insight into where to focus your investigation.
Slowness can have different causes like:
Search for errors in critical categories such as Heap space, Out-of-Memory (OOM), JVM errors, database issues, file system (FS) problems, DNS errors, connectivity issues, and network errors within the application logs.
Initiate the investigation by examining logs related to noapp, system, sci, and perimeter if the slowness is pervasive across the entire system.
If the top output is showing system threads rather than BP threads, always think of taking a few thread dumps of the application to share with customer support. And never forget to look at the application logs!
An effective approach to identify the most resource-intensive application methods is through JMX (Java Management Extensions) monitoring.
SQL queries can be instrumental in identifying long-running processes and steps within the application.
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In today’s fast-paced world of data analytics and AI, optimizing your data infrastructure is key to unlocking valuable insights and driving innovation.
In today’s fast-paced world of data analytics and AI, optimizing your data infrastructure is key to unlocking valuable insights and driving innovation.
In today’s fast-paced world of data analytics and AI, optimizing your data infrastructure is key to unlocking valuable insights and driving innovation.
At Pragma Edge, we are a forward-thinking technology services provider dedicated to driving innovation and transformation across industries.
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IBM Partner Engagement Manager Standard is the right solution
addressing the following business challenges
IBM Partner Engagement Manager Standard is the right solution
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IBM Partner Engagement Manager Standard is the right solution
addressing the following business challenges
