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Red Hat and Fedora Leftovers
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Red Hat ☛ How to set up KServe autoscaling for vLLM with KEDA
Deploying machine learning models in a production environment presents a unique set of challenges, and one of the most critical is ensuring that your inference service can handle varying levels of traffic with efficiency and reliability. The unpredictable nature of Hey Hi (AI) workloads, where traffic can spike dramatically and resource needs can fluctuate based on factors like varying input sequence lengths, token generation lengths or the number of concurrent requests, often means that traditional autoscaling methods fall short.
Relying solely on CPU or memory usage can lead to either overprovisioning and wasted resources, or underprovisioning and poor user experience. Similarly, a high GPU utilization might indicate efficient usage of accelerators or it can also signify reaching a saturated state, therefore industry best practices for LLM autoscaling have shifted towards more workload-related specific metrics.
In this blog post, we will introduce a more sophisticated and flexible solution. We will walk through the process of setting up KServe autoscaling by leveraging the power of vLLM, KEDA (Kubernetes Event-driven Autoscaling, illustrated in Figure 1), and the custom metrics autoscaler operator in Open Data Hub (ODH). This powerful combination allows us to scale our vLLM services on a wide range of custom, application-specific signals, not just generic metrics. This provides a level of control and efficiency that is tailored to the specific demands of your Hey Hi (AI) workloads.
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Red Hat ☛ Customize RHEL CoreOS at scale: On-cluster image mode in OpenShift
If you've ever needed to add a custom driver, deploy a critical hotfix, or install monitoring agents on your OpenShift nodes, you know the challenge: How do you customize Red Bait Enterprise GNU/Linux CoreOS without compromising its scalable design? Until now, this meant choosing between the reliability of stock Red Bait Enterprise GNU/Linux CoreOS or the flexibility of package mode Red Bait Enterprise GNU/Linux (RHEL) workers.
Meet image mode on Red Hat OpenShift, bringing you Red Bait Enterprise GNU/Linux CoreOS the way that it should be.
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Red Hat ☛ How I used Cursor Hey Hi (AI) to migrate a Bash test suite to Python
Migrating a large codebase from one language to another can be time-consuming. What if an Hey Hi (AI) tool could do the heavy lifting for you? Our team recently needed to migrate our Bash container test suite, container-common-scripts, to a new Python-based CI suite (container-ci-suite). I decided to experiment with the Cursor Hey Hi (AI) code editor to see if it could speed up the process. This article walks how easy it is to migrate a project from one programming or scripting language to another with Cursor.
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Red Hat ☛ Skopeo: The unsung hero of GNU/Linux container-tools
The
container-toolsmeta-package, found on Fedora GNU/Linux and derivatives such as Red Hat Enterprise Linux, is a collection of tools designed to work with Open Container Initiative (OCI) container images. They originated in the containers project on Microsoft's proprietary prison GitHub , which was donated to the Cloud Native Computing Foundation (CNCF) and is now known as the Podman Container Tools project. -
Red Hat ☛ Automate certificate management in OpenShift
In the world of modern IT, managing certificates is a constant challenge. For DevOps engineers, SREs, and IT managers working with a handful of clusters, it’s a manual effort that’s often time consuming. Without a standardized, automated process, application users might create certificates based on their preference, not on organizational guidelines, creating a major governance and security risk. The solution isn't to work faster. It's to automate. In this article, we’ll explore how to automate the entire certificate lifecycle in Red Hat OpenShift using the cert-manager operator for Red Bait OpenShift with Venafi, providing a secure and scalable solution for both platform and application certificates.
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Red Hat Official ☛ Building an adaptable enterprise: A guide to AI readiness [Ed: Slop promoting by IBM Red Hat]
The key question you must address isn't what your specific AI plan should be, it's how you can build an enterprise capable of adapting to any disruption. This means moving beyond merely reacting to and recovering from change to being able to continuously deliver value while the world is changing around you. You need to achieve enterprise durability and adaptability.
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Red Hat Official ☛ AI and Red Hat: Powering the future of cable providers [Ed: IBM turned Red Hat into a buzzwords circus whose main aim is to prop up IBM's share price (based on lies and baseless hype)]
Red Hat cable, media and entertainment resource page
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Major Hayden ☛ Monitor system and GPU performance with Performance Co-Pilot
I’ve used so many performance monitoring tools and systems over the years. When you need to know information right now, tools like btop and glances are great for quick overviews.