ramp | A shell script wrapper around https : //gatling | AWS library

Is there a way to execute X number of requests?

I've played around with iterations and virtual users but they seem to require a duration being set when I don't want to set a duration just execute X number of requests per user. I don't want to ramp up or try to maximize throughput, just fire the requests.

Thanks

I have been implementing a suite of RecordBatchReaders for a genomics toolset. The standard unit of work is a RecordBatch. I ended up implementing a lot of my own compression and IO tools instead of using the existing utilities in the arrow cpp platform because I was confused about them. Are there any clear examples of using the existing compression and file IO utilities to simply get a file stream that inflates standard zlib data? Also, an object diagram for the cpp platform would be helpful in ramping up.

I want to run Cypress tests on CircleCI for my Nuxt project

In local mode it works fine, but I can't get it to work in CircleCI

I've already tried the CircleCI orb cypress-io / cypress @ 1.28.0, but just using wait-on the tests start before the npm run dev finishes.

Anyway with Locust Web UI to specify tasks with a certain tag to run?

So right now we are limited with load tests in certain environments, and ramping up the services under load just doesn't produce the same results as in production. Short term we would like to tag certain tests and run those under isolation to get the same results as in production until we have the infrastructure in place in all environments. I know you can run tasks with a certain tag through the CLI but is there anyway to do this through the Web UI? Can you customize the Web UI to do this, which may be the better question?

We have performance metrics data with the given columns ['Timestamp','CID','API Elapsed','E2E Elapsed','Size (Byte)','Rows'].

We are trying to translate this data in a Jupyter Notebook and so far it was trivial to get the normal distribution, histograms and etc. But here is a catch in our scenario; the idea was to connect, let's say, 200 clients to our service and then measure API & E2E latencies but from 1 to 200 clients, the login ramp-up takes time. Hence, we need to clean up the data before the point where 200 clients are connected.

Because, up to that point, the logins are still in progress and due to an internal publish queue, the elapsed times are pretty high. For example, consider this simplified table with 5 clients;

What we want to achieve is:

1. We want to separate the data into 2 parts; where the separation point is the data all clients appear in the same Timesamp the first time. I highlighted that in the table above. We cannot simply check the highest client CID since the CIDs might not be ordered, i.e. CID:5 may appear before CID:1.
2. What if instead of looking into the very same Timestamp to check Step-1 but we require to set a sensitivity like (+/-)5 pips?

The goal is understanding login latencies and the login process effect on the overall data latency by using the first part of the data and the overall latency after all logins are completed using the the second part of the data.

Thank you for your help in advance!

I have the following input file of XY1 series with many unnecessary lines in the beginning.

I am trying to run gls models with a specific spatial correlation structure that comes from modifying the nlme package/ building new functions in the global environment from this post (the answer from this post that creates new functions which allows for the implementation of the correlation structure). Unfortunately I cannot get this spatial correlation structure to work when I run this through a foreach loop:

im new to Gatling and have been trying to setup a test where my users login, get an access token, then perform some simple get requests using that token. Having 1-2 users works fine, however once i start ramping up the users i start getting spammed with this error:

I am quite new to Jmeter and just started using it. I have this requirement of setting up 1000 concurrent users with Ramp up - 100 Users every 2 mins and keeping them in steady state for an hour. How should my thread configuration be like? I am using Concurrency thread group.