SELinux is one of the key security features within Linux. It is a foundational part of many modern technologies like containers. With a history of more than 15 years, SELinux is well known among system administrators—yet too often not activated on outside facing, production systems.
Compliance hasn't been something that can be easily automated, since most of the regulations are wordy documents that require an administrator to inspect the system. Lack of automation means that compliance becomes a hurdle to a secure system, rather than a validation.
Infrastructure managers are constantly asked to push the envelope in how they deliver cloud environments. In addition to speed, scale, and flexibility, they are increasingly focused on both security and operational management and visibility as adoption increases within their organizations.
Identity management and authentication are core elements of the security fabric that connects all layers of the modern enterprise.
One of the hardest challenges of mobile development in an enterprise is reusing legacy systems and processes. We used Red Hat Mobile Application Platform and Red Hat OpenShift Container Platform to build our integration architecture.
Electronic Arts (EA) is an organization whose name is synonymous with gaming. Whether it be through EA's console, PC, or online games, nearly everyone has hands-on experience with their products and technologies. As EA I.T.
With the advent of a true in-memory database SAP HANA, disruptive transformations are taking place in enterprise application space. In this session, you'll gain a comprehensive overview of SAP HANA and its features.
Applications, and the infrastructure that they run on, are rapidly changing as new computing models are introduced. New models, like virtualization, cloud, containers, DevOps, and mode 1/mode 2 applications, each introduce new capabilities and new complexities into organizations.
Red Hat® Mobile Application Platform 4 is the next major evolution for mobile application platforms.
With the emergence of the Internet of Things (IoT) and the resulting big data that goes with it, we need a technology that pulls it all together to inform predictive analytics and help us make sense of the information.