Performance testing is a critical component of software testing and performance evaluation.It involves simulating a large number of users accessing a system simultaneously to determine the system’s behavior under high user loads.This process helps organizations understand how their systems will perform in real-world scenarios and identify potential performance bottlenecks.Testing the performance of your application under different load conditions also helps identify bottlenecks and improve your application’s performance.  In this article, we provide an introduction to the Ddosify Docker Extension and show how to get started

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This article is a result of open source collaboration.During Hacktoberfest 2022, the project was announced in the Black Forest Docker meetup group and received contributions from members of the meetup group and other Hacktoberfest contributors.Almost all of the code in the GitHub repo was written by Stefan Ruf, Himanshu Kandpal, and Sreekesh Iyer. The MEAN stack is a fast-growing, open source JavaScript stack used to develop web applications.MEAN is a diverse collection of robust technologies — MongoDB, Express.js,

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After listening to feedback and consulting our community, it’s clear that we made the wrong decision in sunsetting our Free Team plan.Last week we felt our communications were terrible but our policy was sound.It’s now clear that both the communications and the policy were wrong, so we’re reversing course and no longer sunsetting the Free Team plan:

If you’re currently on the Free Team plan, you no longer have to migrate to another plan by April 14.  Customers who upgraded from

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The Hugging Face Hub is a platform that enables collaborative open source machine learning (ML).The hub works as a central place where users can explore, experiment, collaborate, and build technology with machine learning.On the hub, you can find more than 140,000 models, 50,000 ML apps (called Spaces), and 20,000 datasets shared by the community. Using Spaces makes it easy to create and deploy ML-powered applications and demos in minutes.Recently, the Hugging Face team added support for Docker Spaces, enabling users to create

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Today, Hugging Face and Docker are announcing a new partnership to democratize AI and make it accessible to all software engineers.Hugging Face is the most used open platform for AI, where the machine learning (ML) community has shared more than 150,000 models;25,000 datasets;and 30,000 ML apps, including Stable Diffusion, Bloom, GPT-J, and open source ChatGPT alternatives.These apps enable the community to explore models, replicate results, and lower the barrier of entry for ML — anyone with a browser can interact with the models. Docker

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