Electronic Arts, publisher of video games such as "Madden NFL," was hit by a data breach that reportedly included source code for "FIFA 21" and tools for the Frostbite engine, which powers games including "Battlefield." Hackers say they have stolen 780 gigabytes of data and are advertising it for sale on underground forums, according to posts viewed by Vice's Motherboard, which first reported the incident. "You have full capability of exploiting on all EA services," Motherboard quoted the hackers as saying. The stolen data also includes "proprietary EA frameworks and software development kits," and code for the FIFA 21 matchmaking server, the site reported. Electronic Arts confirmed the breach in a statement to USA TODAY Thursday but did not specify when it occurred.
Automatically tuning software configuration for optimizing a single performance attribute (e.g., minimizing latency) is not trivial, due to the nature of the configuration systems (e.g., complex landscape and expensive measurement). To deal with the problem, existing work has been focusing on developing various effective optimizers. However, a prominent issue that all these optimizers need to take care of is how to avoid the search being trapped in local optima – a hard nut to crack for software configuration tuning due to its rugged and sparse landscape, and neighboring configurations tending to behave very differently. Overcoming such in an expensive measurement setting is even more challenging. In this paper, we take a different perspective to tackle this issue.
WMK is a software development company that founded in 2020. Our development center is located in Lebanon where our developers work remotely on diverse projects for our clients. Our development team is experienced and works on Agile methodology. They are focused on making the development process as effective as possible. In order to guarantee proper usage of your resources we have all of the tools necessary to complete your project in a timely manner.
One of the most amazing dynamics within the DevOps enterprise community is seeing business leaders co-presenting success stories with their technology leadership counterparts. For example, Ken Kennedy (executive vice president and president for Technology and Product at CSG) and Kimberly Johnson (chief operating officer at Fannie Mae) described the achievements of their technology leadership counterparts and why it was important to them. I expect this trend to continue, especially given how COVID-19 has accelerated the rate of digital disruption. I believe this bodes well for all of technology. With the rise of hybrid (remote/in-office) product teams, upskilling and online training initiatives will expand.
This month our team of expert certification specialists released three new or updated learning paths, 16 courses, 13 hands-on labs, and four lab challenges! You can always visit our Content Roadmap to see what's just released as well as what's coming soon. March's new content fell into these categories: This course gets you started with AWS CloudHSM by giving you an overview of the basics of the service, what it is, and its use cases. This course explores Amazon EventBridge and how it can be used to construct architectures in the cloud using event-driven microservices. In this course, you will learn how to use EventBridge rules and targets to react to events.
The application of artificial intelligence (AI) is profoundly altering our understanding of DevOps. Most importantly, it is providing the latest form of DevOps that acknowledges the need for intelligently designed applications supported by robust defence (DevSecOps). By now, most organizations understand that DevOps is a substantial discipline they must adopt to ensure consistent levels of productivity, efficiency and service delivery, all of which hold weight in these times of heightened uncertainty. AI-powered DevOps allows businesses to provide new value to their consumers rapidly, enabling them to mature and transform their digital images. Without DevOps, it is impossible to keep up with the competition and respond to industry events and consumer requests promptly.
The pace of software releases has only accelerated, and DevOps is the reason things have sped up. Now, artificial intelligence and machine learning are also starting to play a role in this acceleration of code releases. That's the word from GitLab's latest survey of 4,300 developers and managers, which finds some enterprises are releasing code ten times faster than in previous surveys. Almost all respondents, 84%, say they're releasing code faster than before, and 57% said code is being released twice as fast, from 35% a year ago. Close to one in five, 19%, say their code goes out the door ten times faster.
Currently, a growing number of mature natural language processing applications make people's life more convenient. Such applications are built by source code - the language in software engineering. However, the applications for understanding source code language to ease the software engineering process are under-researched. Simultaneously, the transformer model, especially its combination with transfer learning, has been proven to be a powerful technique for natural language processing tasks. These breakthroughs point out a promising direction for process source code and crack software engineering tasks. This paper describes CodeTrans - an encoder-decoder transformer model for tasks in the software engineering domain, that explores the effectiveness of encoder-decoder transformer models for six software engineering tasks, including thirteen sub-tasks. Moreover, we have investigated the effect of different training strategies, including single-task learning, transfer learning, multi-task learning, and multi-task learning with fine-tuning. CodeTrans outperforms the state-of-the-art models on all the tasks. To expedite future works in the software engineering domain, we have published our pre-trained models of CodeTrans. https://github.com/agemagician/CodeTrans