Red Hat’s OpenShift walkthrough separates browser login from server-side token introspection and documents the operator-era replacement for legacy SSO.

Red Hat’s walkthrough shows how to trade Keycloak’s SSO layer for direct directory binding—and where TLS becomes non-negotiable.

A new engineering guide joins Podman, Red Hat AI Inference, GuideLLM and Open WebUI into a repeatable local evaluation loop.

A four-stage method moves OpenShift chaos testing from one-off pod failures to measurable workflows that teams can replay before releases and infrastructure changes.

The reference deployment lets an agent inspect current Azure resource state through MCP while OPA, read-only credentials and audit logs constrain its reach.

Red Hat and NEC built a shared inventory and validation framework for more than 200 certificate-related artifacts across the platform.

Red Hat says moving back to 26.4 can fail after Kubernetes records v2beta1 as a stored version, so operators need a tested rollback path before upgrading.

The GitOps-managed blueprint coordinates identity, secrets, runtime controls, supply-chain evidence and compliance without pretending one product can deliver zero trust.

A new FlashSystem blueprint gives Ramen and Advanced Cluster Management control of workload recovery while storage teams retain the replication layer.

A new engineering blueprint combines pull-based reconciliation, model-aware telemetry, staged delivery and local rollback for AI fleets that cannot depend on cloud-style connectivity.

The OpenShift AI reference build combines routed specialist agents, MCP actions, persistent sessions and human handoffs with DeepEval, OpenTelemetry and MLflow.

Red Hat’s migration guide says legacy Scalprum mounts can stop the portal at startup, while standalone OCI plug-in images and Backstage extension blueprints redraw the packaging boundary.

A reference project puts Artifactory, Podman and Red Hat dependency analytics on one workstation so teams can test remediation before involving shared infrastructure.

The deployment guide fits Reflection Beam on four Blackwell or eight Hopper GPUs, but relies on an unreleased vLLM build and CUDA-only kernels.

A new deployment guide separates shared-management and dedicated-mesh topologies—and spells out which resources remain shared either way.

A new engineering walkthrough joins containerized vLLM serving, GuideLLM load tests and Open WebUI on one RHEL host—useful for evaluation, not a production blueprint.

The recipe separates low-latency, throughput and million-token serving paths—and shows where NVIDIA and AMD support diverge.

A new engineering guide traces false-positive and flaky tests to route structure, serialization, timing and infrastructure startup—not just test code.

The guidance connects admission-webhook conflicts, rootless Podman SCCs, GitOps configuration, capacity monitoring and five disconnected dependencies.

The hands-on workflow takes teams from a containerized OpenAI-compatible endpoint through concurrency tests and a local chat interface before they scale out.

The new guidance separates fixed-capacity deployments from demand-driven scaling and points operators toward service-level inference metrics rather than GPU utilization.

The guidance covers centralized SCM authentication, private extension registries, certificate trust and restricted-network IDE workflows.

A concrete device-plugin pattern turns mainframe cryptographic hardware into a schedulable OpenShift resource, with explicit limits around host setup and pod privilege.

Red Hat’s walkthrough uses the same bootc image for disposable checks, persistent libvirt development and qcow2 disk output.

The project’s new recipes belong after dependency and template updates, while larger migrations such as MUI-to-BUI remain deliberate, review-heavy work.

The PeopleMesh quickstart combines Docling, Granite, pgvector and Keycloak, while exposing the design choices behind structured extraction and semantic reranking.

A joint engineering guide puts Confluent for Kubernetes, hosted control planes and OpenShift security controls into one event-streaming pattern.

The practical work is familiar—security policies, release documentation, MFA and protected branches—but the legal responsibility stays downstream.

The validated design separates Cloudera Base VMs from containerized Data Services and gives platform teams a concrete, versioned sizing baseline.

A new field guide turns production lessons from OpenShift 4.20 and Dev Spaces 3.26 into a multi-tenant design for isolation, chargeback and etcd health.

The Red Hat Summit build joined Lightspeed, Satellite and RHEL behind one client, then hit model accuracy, token-capacity and cost limits.

Red Hat’s lab shows how an HTB hierarchy can protect production traffic without wasting idle bandwidth, while a declarative OVN-Kubernetes API remains in development.

Red Hat’s worked example pairs a smaller distroless runtime with signed builds, SBOMs and automated daily redeployment—but teams still need to test each rebuilt artifact.

Red Hat’s new hands-on path turns prompt-injection testing into a repeatable OpenShift AI workflow, but the first scan is a baseline rather than a safety certificate.

The command-line tool and library wrap Pack, choose Podman or Docker, run the resulting image and expose cleanup controls to test code.

Red Hat’s Emerging Technologies team packages vLLM serving, Podman and a repeatable cpueval workflow into an x86 evaluation pattern.

IBM’s walkthrough turns a ppc64le ASP.NET Core image into a user-scoped systemd service, but persistence, boot behavior and single-host limits remain platform decisions.

Red Hat combines HyperShift, OpenShift Virtualization, Advanced Cluster Management and Argo CD ApplicationSets into a cluster-as-a-service workflow.

A new engineering guide separates cloud-side model preparation from edge inference and treats model packaging, validation and signing as a software supply-chain problem.

Red Hat’s new workflow turns zero trust from a perimeter slogan into an inventory, policy and event-response discipline.

Red Hat’s example keeps LangGraph in charge of reasoning and tools while moving input, output and topic policy into a TrustyAI-managed service.

Red Hat’s runtime trace shows why a capability accepted by an SCC and requested in a PodSpec may still disappear when the container process changes UID.

A reproducible Podman run starts by proving host drivers, rootless device access, endpoint health and workload comparability—not by collecting a headline throughput number.

Red Hat build of Kueue 1.4 maps device classes to queue quotas and can account for partitioned GPUs by memory rather than raw device count.

The Open Data Hub library combines kubeconfig, service accounts, OIDC and OpenShift OAuth while retaining strict TLS and standard Kubernetes clients.

Eight MI300X GPUs exposed 64 schedulable SR-IOV virtual functions, while Red Hat documented performance, topology and production-support boundaries.

A Red Hat Developer workflow turns ephemeral trigger checks into durable positive, near-miss and negative tests that can graduate into a blocking CI gate.

The new Quarkiverse extension packages decades-old Java desktop APIs for Quarkus dev mode and GraalVM native executables across three operating systems.

Operators must stop the fleet, preserve data and encryption material, migrate schema and credentials, then recreate sandboxes before validating clients and extensions.

The reference application spans custom YOLOv8 training, CPU or GPU model serving, video tracking, event storage and tightly scoped natural-language analysis.