I want to know, what do you mean by crash point & degradation in Load testing?
What are the differences between crash point & degradation ?
You will find degradation when doing load testing while you tuning the number of maximum concurrent users
One of the main load testing goals is to verify that your web server can work correctly with certain number of concurrent users.
You will find crash point when doing stress testing and trying to find a way to crash your application
The purpose of web server stress testing is to find the target application’s crash point.
The crash point is not always an error message or access violation. It can be a perceptible slowdown in the request processing.
Crash Point is a point where the sever or AUT stops responding or crashes.
Degradation point is a point from where the performance of the server/AUT starts degrading but still in working condition with slower response.
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I conducted performance testing on e-commerce website and I have the test results with some matrices. I already found some problems on some component for example on checkout or post login with high response time and error. But I also would like to find issues that are limiting the application to scale. I only did the testing on the application server. And I observed that CPU , I/O rate are very stable as well. But still the application gives high response time. Is there any other way I can determine from the test result why it is not scaling well? Thank!
From JMeter test result only - unlikely, JMeter just sends requests, waits for the responses and measures the time in-between plus collects some extra metrics like connect time and latency, see the JMeter Glossary for full list with explanations
The integrated system acts at the speed of its slowest component, possible reasons could be in:
Network issues (i.e. lack of bandwidth, faulty router, long DNS resolution time, etc.)
Your application is not properly configured for high loads. Inspect the current setup of the application in terms of thread pools, maximum number of open connections, any limitations on resource usage, etc. Look for documentation on performance tuning of individual middleware compoments as well.
Repeat your test run with a profiler tool telemetry enabled or look at the APM tool output for the test time frame if the tool is in place, it will allow you do perform a deep dive into what's going on under the hood of this or that function call as it might be inefficient algorithm or a slow database query
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
I am testing a web application login page loading time with 300 thread users and ramp up period of 300 secs.Most of my samples return response code 200.But few of them return response code 400,503.
My goal is to just check the performance of the web application if 300 users start using it.
I am new to Jmeter and have basic knowledge of programming.
My Question :-
1.Can i ignore these errors and focus just on timings from the summary report ?
2.If i really need to fix these errors, how to fix it ?
There are 2 different problems indicated by these errors:
HTTP Status 400 stands for Bad Request - it means that you're sending malformed requests which cannot be understood by the server. You should inspect request details and amend JMeter configuration as it is the problem in your script.
HTTP Status 503 stands for Service Unavailable - it indicates the problem on server side, i.e. server is not capable of handling the load you're generating. This is something you can already report as the application issue. You can try to identify the underlying cause by:
looking into your application log files
checking whether your application has enough headroom to operate in terms of CPU, RAM, Network, Disk, etc. It can be done using APM tool or JMeter PerfMon Plugin
re-running your test with profiler tool telemetry to deep dive into what's under the hood of the longest response times
So first of all you should ensure that your test is doing what it is supposed to be doing by running it with 1-2 users/loops and inspecting requests/response details. At this stage you should not be having any errors.
Going forward you should increase the load gradually and correlate the increasing number of virtual users with the increasing response time/number of errors
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Performance testing is different from load testing. What you are doing is load testing.
Performance testing is more about how quickly an action takes. I typically capture performance on a system not under load for a given action.
This gives a baseline that I can then refer to during load tests.
Hopefully, you’ve been given some performance figures to test. E.g. must be able to handle 300 requests in two minutes.
When moving onto load, I run a series of load tests with increasing number of users/threads and capture the results from each test.
Armed with this, I can see how load degrades performance to the point where errors start to show up. This gives you an idea of how much typical load the system can handle.
I’d also look to run soak tests too. This where I’d run JMeter for a long period with typical (not peak) load to make sure the system can handle sustained load.
In terms of the errors you’re seeing, no I would not ignore them. Assuming your test is calling the same endpoint, it seems safe to say the code is fine, its the infrastructure struggling with the load you’re throwing at it.
We have a PHP application to do load test. The application team wants to know that, up to how many users that the application can be capable to withstand without any crashes.
How to do the load test on the same.. Please help us.
Thanks in advance
Its a boardroom question, application system capacity depends upon the application design and server where application is hosted. Ultimately this depends the purpose of application (public or private) and customer requirements (number of users).
You can find notes on test strategy for loading application in MSDN website Real-World Load Testing Tips to Avoid Bottlenecks When Your Web App Goes Live. My suggestion is application should able to manage atleast 10% maximum expected user simultaneously (till its popular... !!!!).
Try record and run Jmeter.
Use Summary Report, Summary Error Report and View Results Tree to see your server's health.
Keep adding thread counts till you realized all your thread group assertion starts failing.
My application includes complex data retrieval from RDC using XML. If error are less than 2% total test, i consider it as healthy. My app can handle 50 threads consecutively easily. Try yours. good luck.
You can identify the number of actual users experimentally.
At the first, make virtual users behavior like real user. Follow this link to get it.
Then increase number of users and observe application behavior. To scedule increasing number of users, you can use Throughput Shaping Timer
We are experiencing slow processing of requests under heavy load. When looking at the currently running requests during these bursts I can see many requests to our web-service code.
The number of requests is not that large but they appear to be stuck in a preprocessing state. Below is an example:
We are running an IIS7 app pool in classic mode due to the need to support some legacy code.
Other requests continue to be processed but these stuck requests gradually seem to fill up the available threads leading to slow processing of other pages.
Does anyone have any idea on where these requests are getting stuck.
There appears to be no resource issue with the DB and the requests state show suggest this is all preprocessing.
We have run load tests on the code involved on local machines and can not replicate the issue.
Another possible factor is we are making use of MVC and UrlRouting.
Many thanks for any help.
Some issues only happen at production servers unfortunately, as load test can never simulate real world users.
You can try to capture hang dumps when performance is bad, and then analyze them (on your own or open a support case via http://support.microsoft.com to work with Microsoft support).
Usually you might have hit the famous thread pool bottleneck, http://support.microsoft.com/kb/821268. Dump analysis can easily tell the culprit and help locate a solution.
Why not move them into their own AppPool to separate them from the Classic ASP app - you'll then have more options to tune.