Analytics, machine learning, and AI represent a fundamental transformation that will, over the coming decade, affect every aspect of society, business, and industry.
Kubernetes and Red Hat OpenShift have evolved to support diverse, increasingly complex classes of applications.
Building, managing, and operating deployments across multiple clouds and on-premise is extremely challenging in today’s world.
For years, the future of software architectures has been described as a proliferation of lightweight, cloud-connected devices.
A lot of monolith-to-microservices guidance glosses over the hard parts of strangling a monolith. The guidance we get about the single responsibility principle, smart endpoints and dumb pipes, etc., is quite useless. We're left to discover the nasty parts ourselves.
OpenShift.io is an online service for development teams, providing tools for the successful creation of cloud-native applications. It's an integrated set of agile planning, code editing / debugging, CI/CD pipeline tools, and package analytics combined with QuickStarts for common frameworks.
Automated legacy app containerization with Red Hat OpenShift & Red Hat Application Migration Toolkit
Writing new cloud-native applications from scratch is cool, but what do we do with a large number of legacy applications already running in production? There is no magic OFF button for them. And yet, we need a reliable way to turn them into cloud-native apps without rewriting them from scratch.
What emerging technologies is Red Hat exploring?
Modernization of software development in the enterprise has primarily driven by three priorities; the need to develop and deliver products faster, for the information technology to be in alignment with the business, and for the systems to be secured.
Red Hat has been working with the open source community on new tools for working with containers.
In this session, Daniel Walsh of Red Hat demonstrates some of those new tools, including:
- CRI-O for supporting Kubernetes workloads.