I have an app deployed on a wildfly server on the Jelastic PaaS. This app functions normally with a few users. I'm trying to do some load tests, by using JMeter, in this case calling a REST api 300 times in 1 second.
This leads to around 60% error rate on the requests, all of them being 503 (service temporarily unavailable). I don't know what things I have to tweak in the environment to get rid of those errors. I'm pretty sure it's not my app's fault, since it is not heavy and i get the same results even trying to test the load on the Index page.
The topology of the environment is simply 1 wildfly node (with 20 cloudlets) and a Postgres database with 20 cloudlets. I had fancier topologies, but trying to narrow the problem down I cut the load balancer (NGINX) and the multiple wildfly nodes.
Requests via the shared load balancer (i.e. when your internet facing node does not have a public IP) face strict QoS limits to protect platform stability. The whole point of the shared load balancer is it's shared by many users, so you can't take 100% of its resources for yourself.
With a public IP, your traffic goes straight from the internet to your node and therefore those QoS limits are not needed or applicable.
As stated in the documentation, you need a public IP for production workloads (a load test should be considered 'production' in this context).
I don't know what things I have to tweak in the environment to get rid of those errors
we don't know either and as your question doesn't provide sufficient level of details we can come up only with generic suggestions like:
Check WildFly log for any suspicious entries. HTTP 503 is a server-side error so it should be logged along with the stacktrace which will lead you to the root cause
Check whether Wildfly instance(s) have enough headroom to operate in terms of CPU, RAM, et, it can be done using i.e. JMeter PerfMon Plugin
Check JVM and WildFly specific JMX metrics using JVisualVM or the aforementioned JMeter PerfMon Plugin
Double check Undertow subsystem configuration for any connection/request/rate limiting entries
Use a profiler tool like JProfiler or YourKit to see what are the slowest functions, largest objects, etc.
Related
I have a really simple setup: An azure load balancer for http(s) traffic, two application servers running windows and one database, which also contains session data.
The goal is being able to reboot or update the software on the servers, without a single request being dropped. The problem is that the health probe will do a test every 5 seconds and needs to fail 2 times in a row. This means when I kill the application server, a lot of requests during those 10 seconds will time out. How can I avoid this?
I have already tried running the health probe on a different port, then denying all traffic to the different port, using windows firewall. Load balancer will think the application is down on that node, and therefore no longer send new traffic to that specific node. However... Azure LB does hash-based load balancing. So the traffic which was already going to the now killed node, will keep going there for a few seconds!
First of all, could you give us additional details: is your database load balanced as well ? Are you performing read and write on this database or only read ?
For your information, you have the possibility to change Azure Load Balancer distribution mode, please refer to this article for details: https://learn.microsoft.com/en-us/azure/load-balancer/load-balancer-distribution-mode
I would suggest you to disable the server you are updating at load balancer level. Wait a couple of minutes (depending of your application) before starting your updates. This should "purge" your endpoint. When update is done, update your load balancer again and put back the server in it.
Cloud concept is infrastructure as code: this could be easily scripted and included in you deployment / update procedure.
Another solution would be to use Traffic Manager. It could give you additional option to manage your endpoints (It might be a bit oversized for 2 VM / endpoints).
Last solution is to migrate to a PaaS solution where all this kind of features are already available (Deployment Slot).
Hoping this will help.
Best regards
I have to perform load testing on a load balanced (clustered) system composed of three servers.
Is it a good practice to test via JMeter each server ? Or maybe it would be better testing the whole cluster calling the load balancer dedicated endpoint ?
Thanks !
Well behaved load test needs to mimic real life application usage as close as possible therefore if the load balancer acts as a single entry point to the system - JMeter needs to hit this endpoint only so the whole system will be like a "black box".
With regards to distributed systems testing best practices you can also consider the following couple of areas:
Load balancers may route requests depending on the origin so it might be a good idea to implement IP Spoofing so each JMeter virtual user could have its own source IP address.
Load Balancer endpoint host(s) may have multiple IP addresses so consider DNS Cache Manager to your Test Plan so each JMeter virtual user could resolve endpoint address on its own as due to caching of DNS calls on OS or JVM level your test can hit one node only while others will be idle.
Testing the whole system is always better. I mean you can find out problem with the load balancing management. It's always better to be in the same condition as the production environment.
After your assessment of the first test. You can regulate and find out that maybe one server is slowing down the chain with another test.
The answer is both (and you should find more cases.), You need to test your system on load as much as close to real environment to know its capabillities.
But also ,for example, when upgrading a version, sometimes only a few or even one server remain online and you need to know what load it can sustain .
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.
Apache Jmeter allows us to hit the server with simultaneous connections. On, the other hand I have 4 webservers - one acting as a load balancer and other 3 acting as a application server. So, i want to load test these servers at once to check its performance. Is there a way to load test a load balancer. Any tools that will be helpful to carry out. I will edit this question further with more information. For time being could someone point out a starting point.
Ramp your normal app-test as usual (through the load balancer).
Eventually, you'll get high response times. If you see your application servers are running fine, then it's (probably*) your load balancer that's the issue. If the application servers are falling over, then you don't need to worry about the performance of your load balancer- it's not the bottleneck.
*obviously, there could be other problems, eg, simple network throughput. But you should be able to tell what's going on with some simple monitoring.
Yes you can make a load test on your load balancer Apache server.
Target your http requests to the load balancer apache server. I'm assuming the LB will distribute the load evenly through the 3 backend servers. After the test you evaluate the response times. Are they good? Great.
If they aren't good you can make a second test targeting the 3 backend servers (don't let the requests pass by the LB). If the response times are better now then you know your LB is the problem, otherwise you may need to add more backend servers or optimize your applications (i guess this is what you'll do).
Can someone please tell me the pro's and con's of mod_jk vs mod_cluster.
We are looking to do very simple load balancing.. We are going to be using sticky sessions and just need something to route new requests to a new server if one server goes down. I feel that mod_jk does this and does a good job so why do I need mod_cluster?
If your JBoss version is 5.x or above, you should use mod_cluster, it will give you a better performance and reliability than mod_jk. Here you've some reasons:
better load balacing between app servers: the load balancing logic is calculated based on information and metrics provided directly by the applications servers (bear in mind they have first hand information about its load), in contrast with mod_jk with which the logic is calculated by the proxy itself. For that, mod_cluster uses an extra connection between the servers and the proxy (a part from the data one), used to send this load information.
better integration with the lifecycle of the applications deployed in the servers: the servers keep the proxy informed about the changes of the application in each respective node (for example if you undeploy the application in one of the nodes, the node will inform the proxy (mod_cluster) immediately, avoiding this way the inconvenient 404 errors.
it doesn't require ajp: you can also use it with http or https.
better management of the servers lifecycle events: when a server shutdowns or it's restarted, it informs the proxy about its state, so that the proxy can reconfigure itself automatically.
You can use sticky sessions as well with mod cluster, though of course, if one of the nodes fails, mod cluster won't help to keep the user sessions (as it would happen as well with other balancers, unless you've the JBoss nodes in cluster). But due to the reasons given above (keeping track of the server lifecycle events, and better load balancing mainly), in case one of the servers goes down, mod cluster will manage it better and more transparently to the user (the proxy will be informed immediately, and so it will never send requests to that node, until it's informed that it's restarted).
Remember that you can use mod_cluster with JBoss AS/EAP 5.x or JBoss Web 2.1.1 or above (in the case of Tomcat I think it's version 6 or above).
To sum up, though your use case of load balancing is simple, mod_cluster offers a better performance and scalability.
You can look for more information in the JBoss site for mod_cluster, and in its documentation page.