In our previous post, we walked through the agent mesh for software modernization architecture we built on Red Hat AI for modernizing legacy systems at the scale that mission environments actually require. The post covered the harness pattern, the workflows the harness orchestrates, and the KPI framework for measuring success. It also explained why we run coding agents on Devstral and non-coding agents on Ministral, inside a platform that operates in disconnected environments.This post is about the next layer of that story: the pluggability.In the regulated environments where agent mesh for so
The most recent Red Hat OpenShift release introduces powerful new capabilities for native monitoring, logging, tracing, and dashboarding. Red Hat OpenShift observability has matured into a more seamless ecosystem by merging metrics, logs, traces, and network telemetry into a unified workflow. This integrated approach helps eliminate the common burden of Kubernetes tool sprawl, replacing disconnected dashboards with a hardened, centralized, and fully supported platform.Cluster observability operator 1.5The Cluster Observability operator (COO) functions as a "meta-operator", tasked with deployin
IBM and Red Hat Expand Lightwell with New Offerings to Build the Trust Infrastructure for AI-Era Open SourceDeveloped with leading global financial institutions and backed by a growing partner ecosystem, the new Lightwell offerings help enterprises reduce open source risk without disruptive upgrades. Learn more The new currency of enterprise velocityWith a vast global force of engineers with advanced AI tools, we're delivering the enterprise trust infrastructure for the open source supply chain far beyond our own traditional platform boundaries. It is the largest single commitment to open so