stuck thread in createQueueConnection - jms

I am getting the stuck thread error often while trying to send the JMS message to another manager server within the domain in our production environment.
Initially, we felt that it might be due to Load on the server but issue occurred randomly Even at the time of less load and system processing well some high volume time
We are not able to find the reason for the same.
Error Information:
weblogic.jms.client.JMSConnectionFactory.createQueueConnection(JMSConnectionFact
ory.java:199)

Related

503 Error while Running JMeter for Thread 400,Is it Because of Server issues?

Getting 503 Error while Running the JMeter for the Thread User 400,Is it Because of Server issues.? When I run the thread group for 100 user with ramp up period 25 seconds then it will be working fine but for the user 400 users its giving 503 error.
Given you don't experience any issues with 100 users and have issues with 400 users most probably it's a server issue connected with the overload so congratulations on finding the bottleneck.
You can either report it as is or perform a little bit deeper investigation in order to find the cause, suggested steps:
Instead of kicking off 400 users at once try increasing the load gradually at the same time looking at Response Times vs Threads and Transaction Throughput vs Threads charts. Ideally response time should remain the same and throughput should be growing as the number of threads increase. When response time starts increasing and throughput starts decreasing it indicates the saturation point and at this stage you can state that this is the maximum number of users your application can support
Check your application logs and configuration as it might be not properly tuned for the high loads, you can use 15 Simple ASP.NET Performance Tuning Tips as a reference or look for a similar guide for your application technology stack
Ensure that your application has enough headroom to operate in terms of CPU, RAM, Network, etc. as it might be the case that it's basically a lack of resources, it can be done using i.e. JMeter PerfMon Plugin
Repeat your test with profiler tool telemetry in place, this way you will be able to localize the problem and state where is the problematic piece of code or inefficient algo lives.
If server isn't down/restarted, then yes, 503 indicate overload
Common causes are a server that is down for maintenance or that is overloaded
You need to find what stop server from serving 400 concurrent requests/users
Notice that if you are testing on a test environment which isn't equal/similar to production environment, it may not reflect the load that production server can endure

502 server error in Google App Engine Flexible when load testing with JMeter

I have deployed a simple Spring boot app in Google App Engine Flexible. The app. has two APIs, one to add the user data into the DB (xxx.appspot.com/add) the other to get all the user data from the DB (xxx.appspot.com/all).
I wanted to see how GAE scales for the load, hence used JMeter to create a load with 100 user concurrency ramped up in 10 seconds and calls these two APIs in half a second delay, forever. While it runs fine for sometime (with just one instance), it starts to fail after 30 seconds or so with a "java.net.SocketException" or "The server responded with a status of 502".
After this error, when I try to access the same API from the browser, it displays,
Error: Server Error
The server encountered a temporary error and could not complete your
request. Please try again in 30 seconds.
The service is back to normal after 30 mins or so, and whenever the load test happens it repeats the same behavior as mentioned above. I expect GAE to auto-scale based on the load coming in to handle it without any down time (using multiple instances), instead it just crashes or blocks the service (without any information in the log). My app.yaml configuration is,
runtime: java
env: flex
service: hello-service
automatic_scaling:
min_num_instances: 1
max_num_instances: 10
I am a bit stuck with this one, Any help would be greatly appreciated. Thanks in advance.
The solution was to increase the resource configuration, details below.
Given that I did not set a resource parameter, it defaulted to the pre-defined values for both CPU and Memory. In this case, the default
memory was set at 0.6GB. App Engine Flex instances uses about 0.4GB
for overhead processes. Given Java is known to consume higher memory, there is a
great likelihood that the overhead processes consumed more than the
approximate 0.4GB value. Now instances in App Engine are restarted due
to a variety of reasons including optimization due to memory use. This
explains why your instances went off and it shows Tomcat is starting
up (they got restarted) and ends up in 502 error due to the nginx is
not able to complete the request. Fixing the above may lessen if not completely eliminate the 502s.
After I have specified the resources attribute and increased the configuration in app.yaml 502 error seems to be gone.

Azure in role cache exceptions when service scales

I am using Windows Azure SDK 2.2 and have created an Azure cloud service that uses an in-role cache.
I have 2 instances of the service running under normal conditions.
When the services scales (up to 3 instances, or back down to 2 instances), I get lots of DataCacheExceptions. These are often accompanied by Azure db connection failures from the process going in inside the cache. (If I don't find the entry I want in the cache, I get it from the db and put it into the cache. All standard stuff.)
I have implemented retry processes on the cache gets and puts, and use the ReliableSqlConnection object with a retry process for db connection using the Transient Fault Handling application block.
The retry process uses a fixed interval retrying every second for 5 tries.
The failures are typically;
Microsoft.ApplicationServer.Caching.DataCacheException: ErrorCode:SubStatus:There is a temporary failure. Please retry later
Any idea why the scaling might cause these exceptions?
Should I try a less aggressive retry policy?
Any help appreciated.
I have also noticed that I am getting a high percentage (> 70%) cache miss rate and when the system is struggling, there is high cpu utilisation (> 80%).
Well, I haven't been able to find out any reason for the errors I am seeing, but I have 'fixed' the problem, sort of!
When looking at the last few days processing stats, it is clear the high cpu usage corresponds with the cloud service having 'problems'. I have changed the service to use two medium instances instead of two small instances.
This seems to have solved the problem, and the service has been running quite happily, low cpu usage, low memory usage, no exceptions.
So, whilst still not discovering what the source of the problems were, I seem to have overcome them by providing a bigger environment for the service to run in.
--Late news!!! I noticed this morning that from about 06:30, the cpu usage started to climb, along with the time taken for the service to process as it should. Errors started appearing and I had to restart the service at 10:30 to get things back to 'normal'. Also, when restarting the service, the OnRoleRun process threw loads of DataCacheExceptions before it started running again, 45 minutes later.
Now all seems well again, and I will monitor for the next hours/days...
There seems to be no explanation for this, remote desktop to the instances show no exceptions in the event log, other logging is not showing application problems, so I am still stumped.

Troubleshooting MVC4 Web API Performance Issues

I have an asp.net mvc4 web api interface that gets about 54k requests a day.
http://myserv.x.com/api/123/getstuff?whatstuff=thisstuff
I have 3 web servers behind a load balancer that are setup to handle the http requests.
On average response times are ~300ms. However, lately something has gone awry (or maybe it has always been there) as there is sporadic behavior of response times coming back in 10-20sec. This would be for the same request hitting the same server directly instead of through the load balancer.
GIVEN:
- System has been passed down to me so there may be gaps with IIS confiuration, etc,.
- Database: SQL Server 2008R2
- Web Servers: Windows Server 2008R2 Enterprise SP1
- IIS 7.5
- Using MemoryCache aggressively with Model and Business Objects with eviction set to 2hrs
- Looked at the logs but really don't see anything significantly relevant
- One application pool...no other LOB applications running on this server
Assumptions & Ask:
Somehow I'm thinking that something is recycling the application pool or IIS worker threads are shutting down and restarting thus causing each new request to warmup and recache itself. It's so sporadic that it's tough to trouble shoot right now. The same request to the same server comes back fast as expected (back to back N requests) since it was cached in about 300ms....but wait about 5-10-20min and that same request to the same server takes 16seconds.
I have limited tracing to go by as these are prod systems so I can only expose so much logging details. Any help and information attacking this or similar behavior somebody else has run into is appreciated. Thx
UPDATE:
The w3wpe.exe process grows to ~3G. Somehow it gets wiped out and the PID changes so itself or something is killing it every 3-4min I see tons of warnings in my webserver (IIS) log:
A process serving application pool 'MyApplication' suffered a fatal
communication error with the Windows Process Activation Service. The
process id was '1732'. The data field contains the error number.
After 4-5 days of assessing IIS and configuration vs internal code issues I finally found the issue with little to no help with windbg or debugdiag IIS tools. Those tools contain so much information even with mini dumps or log trace stacks that they can be red herrings. Best bet was to reproduce it by setting up a "copy intelligently" instance of a production system, which we did not have at the time and took a bit for ops to set something up.
Needless to say the problem had to do with over cacheing business objects. There was one race condition where updates on a certain table were updating an attribute to that corresponding business object (updates were coming from multiple servers) which was causing an OOC stackoverflow that pretty much caused the cacheing to recursively cache itself to death thus causing the w3wp.exe process to die and psuedo-recycle itself. It was one of those edge cases that was incredibly hard to test and repro in a non-production environment.

Meaning/cause of RPC Exception 'No interfaces have been exported.'

We have a fairly standard client/server application built using MS RPC. Both client and server are implemented in C++. The client establishes a session to the server, then makes repeated calls to it over a period of time before finally closing the session.
Periodically, however, especially under heavy load conditions, we are seeing an RPC exception show up with code 1754: RPC_S_NOTHING_TO_EXPORT.
It appears that this happens in the middle of a session. The user is logged on for a while, making successful calls, then one of the calls inexplicably returns this error. As far as we can tell, the server receives no indication that anything went wrong - and it definitely doesn't see the call the client made.
The error code appears to have permanent implications, as well. Having the client retry the connection doesn't work, either. However, if the user has multiple user sessions active simultaneously between the same client and server, the other connections are unaffected.
In essence, I have two questions:
Does anyone know what RPC_S_NOTHING_TO_EXPORT means? The MSDN documentation simply says: "No interfaces have been exported." ... Huh? The session was working fine for numerous instances of the same call up until this point...
Does anyone have any ideas as to how to identify the real problem? Note: Capturing network traffic is something we would rather avoid, if possible, as the problem is sporadic enough that we would likely go through multiple gigabytes of traffic before running into an occurrence.
Capturing network traffic would be one of the best ways to tackle this issue. If you can't do that, could you dump the client process and debug with WinDBG or Visual Studio? Perhaps compare a dump when operating normally versus in the error state?

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