load-test | A load-test script & container for Sock Shop | Continuous Deployment library
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kandi X-RAY | load-test Summary
A load-test script & container for Sock Shop
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Trending Discussions on load-test
QUESTION
I'm using awscurl
to bulk load data from s3 into neptune:
I've done the following:
- Ensure the ARN has s3 full access
- Uploaded gremlin csv sample data to existing bucket
The error I get is:
Couldn't find the aws credential for iam_role_arn: arn:aws:iam::1111111:role/NeptuneAdmin
What is the best way to ensure I have this credential? I'm executing this from local.
Sample Query ...ANSWER
Answered 2021-Jun-09 at 19:55Adding this as an answer in case others find your question.
The Role that gives Neptune access to S3 needs to be added to Neptune either using the web console or via the CLI. Then when the curl command is issued Neptune will find the Role.
QUESTION
I want to include some JAR files in my Docker image. I'm using the fabric8 maven plugin's inline assembly feature.
Here is a the dependency in the POM:
...ANSWER
Answered 2021-May-28 at 16:32I also ran into this when trying an external Dockerfile. The assembly only copies it to the target folder where you still need to use COPY in the Dockerfile to get it. So you are right, you seem to need both.
If you only need the jars you can also use this in your pom
QUESTION
I want to define two constant labels with two static values , I refered official blog, https://blog.freshtracks.io/load-testing-prometheus-metric-ingestion-5b878711711c
Also using help, docker run quay.io/freshtracks.io/avalanche --help
I got to know that it's like below , but I tried with several combinations of it but I'm not sure how to define it.
...ANSWER
Answered 2021-May-21 at 12:56You can define like below.
QUESTION
I would like to load-test a SignalR service using Locust. I found that the following library can send and receive SignalR requests: https://pypi.org/project/signalrcore/
Now, according to the Locust docs, the next step would be to write a custom client for Locust that can send SignalR requests. But there is the following warning:
Any protocol libraries that you use must be gevent-friendly (use the Python socket module or some other standard library function like subprocess), or your calls are likely to block the whole Locust/Python process.
Some C libraries cannot be monkey patched by gevent, but allow for other workarounds. For example, if you want to use psycopg2 to performance test PostgreSQL, you can use psycogreen
I am a beginner in Python so I don't understand exactly what it means. The library "signalrcore" I am using is 100% synchronous. Does it means I can't use it with Locust? I found an a fork of signalrcore that uses asyncio. Should I use that fork instead and just make sure all my signalr calls are non blocking?
Thanks!
...ANSWER
Answered 2021-May-07 at 17:06SignalRCore seems to use requests and websocket-client under the hood, both of which are gevent-friendly. I cant say for sure, but I’d give it 90% probability that it will work ”out of the box” :)
If you do use the asyncio one you’d need to do some magic yourself. At least I have never combined that with gevent.
QUESTION
I'm working to optimise Largest Contentful Paint (LCP), but am having trouble preloading the correct amount of LCP candidate images based on device size.
The problem:
- on small screens, a single image shows in a carousel
- on larger screens, up to four images can show
- I don't have control of the size of said images, meaning any can be a LCP candidate
- loading all four images on small devices is a no go: a waste of bandwidth and a performance hit
The desired solution:
- preload only one image on small screens
- preload all four images on large devices
My first thought was the obvious one, use the link
els' media
attribute to decide what to load; however, all resources are downloaded anyway (refs 1, 2).
I'm not a fan of my current best 'solution' for this: using link
's imagesrcset
+ imagesizes
attributes to load the first image regardless, and the latter images as 1px by 1px on small devices.
E.G.
...ANSWER
Answered 2021-Mar-26 at 16:39So it transpires using the media
attribute for link
el's of the type="image"
does work.
Lesson learned to always test what I read :)
Therefore the following works to solve the issue at hand:
QUESTION
I'm looking for the best solution to execute a load test to simulate 200k - 500k concurrent users to test the web app. Some scenarios have to do with video viewing, user content pushing (like pictures, video uploading), page viewing. One of the goals is just to make sure that CDN service can handle such a huge load from the user perspective.
From the research, it seems the Jmeter can be distributed as described here:
- docker https://hub.docker.com/r/thothbot/jmeter-master/
- AWS + docker https://dragoscampean.medium.com/how-to-build-a-distributed-load-testing-infrastructure-with-aws-docker-and-jmeter-accf3c2aa3a3
Questions:
But, how to estimate how many slave nodes will be needed and with which hardware when looking for the cloud?
What about BlazeMeter service? It looks like this service can save time - just avoid infrastructure setups.
Actually, without an answer to question 1, it's not possible to calculate the cost and compare.
Any suggestion? The idea to make the target test in a strict time frame, using the best smart solution :)
...ANSWER
Answered 2021-Mar-19 at 08:46Docker per se doesn't solve the scaling challenge, it does the opposite thing: creates an overhead which consumes resources. So unless you have a container orchestration solution like Docker Swarm or K8S which can automatically scale or create new containers on physical or virtual machines - it won't give you any performance benefit comparing to running JMeter in distributed mode on bare metal or virtual machines without using containers.
There is no answer like "c6g.large AWS instance can simulate 5000 virtual users" because the actual number depends on:
- machine hardware specifications
- nature of your test (nature of samplers, pre/post processors, assertions, etc.)
- application response time and size
so if you're executing simple HTTP GET requests which return small amount of data you will be able to simulate more users than in case of uploading large files and receiving large responses
So you should act as follows:
Make sure to have a solution to monitor the health of JMeter engine(s) in terms of CPU, RAM, Network, Disk IO, etc. If you don't have one in mind you can consider using JMeter PerfMon Plugin
Make sure to follow JMeter Best Practices
Start with 1 virtual user and gradually increase the load at the same time looking at resources consumption
When any of monitored resources consumption start exceeding reasonable threshold, i.e. 80% of total available capacity - take a note how many users where online at this stage by looking at i.e. Active Threads Over Time listener
This is how many users you can simulate from particular this machine for particular this test
BlazeMeter engines hardware capacities are also limited and the above constraints apply so make sure to monitor engines health during your load test as if JMeter is not capable of sending requests fast enough you will get "false negative" results even if your application can process more requests per unit of time
QUESTION
I have the following Kuzzle S3 Plugin config:
...ANSWER
Answered 2021-Mar-11 at 18:16Ok - so I found a working answer
QUESTION
I'm using PerfMon JMeter Plugin after referring this article https://www.blazemeter.com/blog/how-monitor-your-server-health-performance-during-jmeter-load-test
Getting this error on PerfMon, can someone help please. How shall I fix it ?
This is the image of the server agent
I'm running the test on localhost server, not sure ow to resolve this ERROR: java.io.IOException: Agent is unreachable via TCP
...ANSWER
Answered 2021-Mar-10 at 13:12I don't think that the referenced article mentions that you need to pause the server agent process anywhere. Looking at this "Select" bit in your console window:
it appears that you have "selected" something in the terminal window where the server agent is running, it "pauses" the process.
It looks like a white rectangle:
so just perform a right mouse button click in the window and the server agent should continue running and you will see the metrics.
You might find How to Monitor Server Resource Utilization with JMeter’s SSHMon Listener article useful, this approach doesn't assume any server-side software installation so it may be more convenient
QUESTION
I recently run my gatling simulation scenario using maven following this tutorial,
It runs okay week ago, until recently I try to re run the scenario again then I got error
[main][ERROR][Gatling.scala:83] i.g.a.Gatling$ - Run crashed java.util.NoSuchElementException: null
.
I run the scenatio with this command
mvn gatling:test -Dgatling.simulationClass=myscenario
I thought this caused by some corrupt repository? Because I see it points to gatling dependency.
I tried to reinstall the dependency with:
mvn dependency:purge-local-repository
- doesn't solve the issuemvn clean install -U
- doesn't solve the issuerm -rf ~/.m2/repository
- doesn't solve the issue
Here are the logs:
...ANSWER
Answered 2021-Jan-28 at 10:20The stacktrace is pretty clear: that's a coding issue on your side and Gatling is not at fault here.
QUESTION
I have been through a lot of posts and solutions on excluding requests from certain domains from being recorded in my jmeter corelation recorder, but I still see those domains getting recorded in my script.
I tried entering this in Exclude urls: ^((?|mozilla>).)*$ to exclude mozilla and google.
but this does not seem to work at all, just like its pointed out here : Jmeter URL patterns to exclude under workbench - not excluding patterns that are giving there.
Also this link suggest similar solution :https://guide.blazemeter.com/hc/en-us/articles/206732519-Excluding-Domains-from-the-Load-Test
I want to exclude: mozilla.com , firefox.com and google.apis
Can someone please help ?
...ANSWER
Answered 2021-Jan-21 at 07:47You can put the patterns (in form of Perl-5 style regular expressions) to "URL Patterns to Exclude" section (lives under Requests Filtering
tab)
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