Latest From Red Hat
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Red Hat Official ☛ Using AI in hybrid cloud environments: Benefits and use cases [Ed: A carnival of buzzwords and meaningless labels]
AI and ML models can help teams make better decisions by providing insights, optimizing resources and improving application performance. Large language models (LLMs) can help automate workflows and decrease the need for manual work. Predictive models can analyze usage patterns to help keep cloud costs down and more efficiently allocate resources. Let’s explore how teams can use AI/ML to get the most out of their hybrid cloud environments.
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Red Hat Official ☛ Introducing Red Hat OpenShift Service Mesh 3.0
This article provides an overview of Red Hat OpenShift Service Mesh 3.0, including information for existing OpenShift Service Mesh users on how to migrate.
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Red Hat Official ☛ Get ready for OpenShift Commons Gathering in London
Next month’s event is shaping up to have a great line up of end-users who will be sharing use cases, insights into their workloads and lessons learned along the way. The event will also feature an Ask-me-Anything area, breakout sessions, labs and the presentation of the OpenShift Superhero Awards (nominations are now closed). Registration is currently open and here’s a peek at the lineup of mainstage speakers you won’t want to miss:
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Red Hat ☛ Retrieval-augmented generation with Node.js, Podman Hey Hi (AI) Lab & React
Podman Hey Hi (AI) Lab, which integrates with Podman Desktop, provides everything you need to start developing Node.js applications that can integrate large language models and package the components in containers.
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Red Hat ☛ Discover packaging parallel database streams in RHEL 10
Red Hat Enterprise Linux, RHEL 8 and RHEL 9 use modularity to distribute various database streams. Modules have many advantages, but also minor drawbacks. RHEL 10 comes with a post-modular solution. This new innovative concept focuses on transparency for users.
Basic knowledge about using the
dnfutility is sufficient to start working with a parallel database stream in RHEL 10. This article describes the RHEL 10 post-modular solution for distributing database streams.