Automation and management

Connect OpenShift Lightspeed to the MCP server for Red Hat Advanced Cluster Management for Kubernetes to query your fleet in natural language.

Learn how to generate AI-assisted Ansible playbooks with Red Hat's VS Code extension for faster, more accurate code generation.

This article demonstrates how to use Helm to manage Red Hat OpenShift AI and its dependencies on Red Hat OpenShift, from a full platform installation to a lightweight inference-only deployment.

Automate incident response with the Event-based FIR collector, capturing system context automatically for production incidents.

Streamline Red Hat Ansible development with the MCP server: Reduce context switching and non-deterministic behaviors for reliable automation.

How to use Red Hat Ansible Automation Platform, enterprise credential management, and ITSM-driven change control to implement just-in-time automated elevated access.

Improve OpenShift compliance with custom metadata: Attach business-specific labels and annotations to Rule objects for better automation and auditability.

Streamline host content management with Red Hat Satellite's Multi-CV, reducing admin overhead and improving software distribution efficiency

Red Hat Advanced Cluster Management for Kubernetes 2.17 introduces a developer preview that migrates right-sizing recommendation dashboards from Grafana to Perses.

Learn how to set a network interface administratively down permanently with NetworkManager and nmcli commands. Discover the old and new ways to do it, and understand the implications for servers and appliances.

Learn how to configure Red Hat Satellite for deploying virtual machines to Microsoft Azure using the image builder service for Red Hat Enterprise Linux.

Discover new features and enhancements in Ansible Automation Platform 2.7, designed to streamline platform engineering, eliminate friction across the automation lifecycle, and put AI to work across IT operations. Learn more about the expanded automation portal, visual execution environment builder, centralized content catalog, and more.

Learn how to implement true gang autoscaling on OpenShift using Red Hat build of Kueue and ProvisionRequest API. This approach ensures efficient and reliable scheduling of high-performance workloads like AI/ML training, HPC simulations, or large data processing.

Integrate Red Hat Developer Hub with Red Hat Ansible Automation Platform under a

Discover the changes in Red Hat OpenShift Container Platform system resource management, designed to improve node stability.

A Llama Stack-dependent backend, or any rapidly-evolving upstream project faces a version-drift problem. Explore our no-cost solution that provides early warnings.

Learn about the five primary structural challenges in enterprise AI evaluation and how EvalHub addresses them with a unified foundation for AI evaluation.

Learn how the ObservabilityInstaller one-click installation simplifies the deployment of a production-ready distributed tracing stack on OpenShift.

Deploy multiple Red Hat OpenStack Services on OpenShift clusters using hosted control planes (HCPs) to achieve scalable isolation and efficiency.

Learn about our team's experience implementing a defense-in-depth safety architecture for AI agents using Llama Stack shields.

Deploy a 5G core testing pipeline to create a continuous quality check for a 5G

Learn how to use Red Hat Ansible Automation Platform and a Configuration-as-Code (CaC) approach to automate Infoblox DDI operations at scale.

Learn about critical lessons from building an MCP-powered AI agent for ServiceNow, including how to structure testing environments, best practices for implementing safeguards, and a phased approach to deploying enterprise AI integrations.

Learn how to execute Red Hat Ansible Automation Platform automations in a hybrid environment using a cloud-hosted management cluster controlling on-premise bare-metal Red Hat OpenShift Virtualization clusters. This approach eliminates the need for dedicated execution nodes, leverages cloud-native capabilities, and reduces latency.

Learn how to implement an automated CI framework using Red Hat Ansible Automation Platform, Podman, and Horreum to measure the performance of etcd, the primary data store for Red Hat OpenShift cluster state and configuration. This framework provides early detection of performance impacts from both upstream Go releases and Red Hat-specific modifications, ensuring optimized, reliable builds that meet your performance and compliance requirements.