Kubernetes:
OpenShift:
- Gang autoscaling on OpenShift with Kueue and ProvisionRequest,
- Build a local voice agent with Red Hat OpenShift AI,
- Integrate OpenShift AI and PG Airman MCP Server,
- Configure input guardrails for an OpenShift AI voice agent,
- GitOps at Scale,
- Model-as-a-Service: How to run your own private AI API,
- A Guide to Backup and Restore via OpenShift OADP,
- Monitoring Ansible Automation Platform 2.5+ on OpenShift with Prometheus and Grafana,
- Benchmarking Prefill/Decode Disaggregation on OpenShift AI with GuideLLM,
- Deploying OpenClaw on OpenShift,
- Protect internal traffic in openshift,
- Protecting enterprise AI: How to manage API keys in Models-as-a-Service (MaaS),
- Automate application migration with MigIQ: From Spring Boot to Quarkus,
Containers:
RHEL:
- Bring your own evaluation framework to EvalHub,
- Lessons from an autonomous computer vision system on the air-gapped edge,
- Expiration of Secure Boot signing certificates in 2026,
- What’s New in Ansible Automation Platform 2.7,
- What’s new in Red Hat Ansible Automation Platform 2.7,
- Ansible Automation Platform 2.7: Visual Execution Environment Builder and Content Discovery Guide,
- Wiring zero trust identity for AI agents: SPIFFE, token exchange, and Kagenti,
- Add automated AI evaluations to your CI/CD pipeline,
- Creating an auditd rule to monitor Ansible Automation Platform static secrets,
- AI threats move fast. Your defenses should too,
- How to use Red Hat Satellite to deploy virtual machines in Microsoft Azure,
- Architecting true autonomy with a level 4/5 network,
- Red Hat has updated the RISC-V Developer Preview,
- Red Hat IDM + Active Directory Trust: Complete Guide for Linux Access Control,
- Using NetworkManager to permanently set an interface administratively down,
- Securing the enterprise software fabric: A blueprint for open source,
- What’s new with image builder for Red Hat Enterprise Linux 10.2 and 9.8,
- Red Hat AI Inference on Amazon EKS: Exploring the Kubernetes resources,
- Chat with your docs with Red Hat Developer Hub,
Miscellaneous:
- Why agentic AI needs an open inference stack,
- What you need to know about the Microsoft Secure Boot certificate expiration: Don’t Panic!
- Building and running Bazel applications on AutoSD: Toolchains, containers, and recommended practices,
- How speculative decoding delivers faster LLM inference,
- A 10 year old Xeon is all you need,
- You Don’t Love systemd Timers Enough,
- Something is jamming GPS over Europe. Here’s what we found (34min),
- Sandbox AI coding agents with microVMs on Fedora Linux,
- Web-Based Remote Installation for Fedora Linux: Here’s What We’re Building,
- llama.cpp vs. vLLM: Choosing the right local LLM inference engine,
- MPI-powered gradient synchronization in PyTorch distributed training,
- The evolution of agentic AI and text-to-SQL,
- Store immutable AI evaluation records with EvalHub and OCI.
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