BitBucket might be a bit more popular than locust. We know about 78 links to it since March 2021 and only 61 links to locust. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I am using GitHub for both personal and work projects. In the past, I used BitBucket, and at some point I considered using GitLab, too. However, the popularity of GitHub and its ecosystem made it hard to ignore. I even use GitHub to follow trends in my profession. - Source: dev.to / 14 days ago
Facilitated Collaboration and Funding: With easier identification comes better connectivity. Contributors, partners, and funders can more readily find projects that resonate with their interests and values. Moreover, platforms such as GitHub, GitLab, and Bitbucket are increasingly interested in integrating standardized licensing solutions like License-Token, paving the way for broader adoption and collaborative... - Source: dev.to / 3 months ago
Git ensures that your code is safe. Even if your laptop crashes, your work is backed up on a remote repository (e.g., GitHub, GitLab, Bitbucket). - Source: dev.to / 7 months ago
GitHub, GitLab, Bitbucket: These platforms provide easy-to-use interfaces for Git, adding features like pull requests, issue tracking, and more. Explore GitHub, GitLab, and Bitbucket. - Source: dev.to / 8 months ago
Tools: Use platforms like Bitbucket or GitHub’s pull request feature. - Source: dev.to / 11 months ago
Use load testing tools like JMeter, Gatling, or Locust to simulate demand spikes and verify that your auto-scaling rules work as expected. This will ensure that your system can handle real-world traffic patterns. - Source: dev.to / 30 days ago
Use load testing tools like Apache JMeter, Gatling, or Locust to measure your application's throughput under various loads and compare it to historical data. - Source: dev.to / 4 months ago
You should also incorporate performance testing into your daily builds to catch performance regressions early. For this, you can use Locust for load testing. You can also implement performance budgets in your CI/CD pipeline. This will allow you to fail builds that don't meet performance criteria, ensuring performance doesn't degrade over time. - Source: dev.to / 5 months ago
These tests were done on GCP Cloud Run using a single processor, and 512M RAM machine, and we used Locust, an incredible tool (for Python, LoL). - Source: dev.to / 7 months ago
Our test duration was 2 days. To handle this longer testing period, we switched from BlazeMeter (max test duration of 20 minutes) to Locust, an open-source load-testing tool. - Source: dev.to / 11 months ago
GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.
Apache JMeter - Apache JMeter™.
GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab
Loader.io - Loader.io is a simple cloud-based load testing service
Gitea - A painless self-hosted Git service
gatling.io - Gatling is an open-source load testing framework based on Scala, Akka and Netty