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# Red Hat Lightspeed advisor self-managed for air-gapped clusters

**[Red Hat Developer](https://daily.dev/sources/rhdev)** · 5 min read · 0 upvotes · 0 comments

## Summary

Red Hat Lightspeed advisor self-managed is now available in Developer Preview, bringing health analytics and upgrade risk predictions to air-gapped OpenShift clusters. It ships as a Red Hat Advanced Cluster Management for Kubernetes add-on and keeps all data inside the cluster. The Insights Operator on each spoke cluster redirects its archive to a local endpoint on the ACM Hub instead of the cloud pipeline. Upgrade risk predictions draw from Thanos metrics already stored on the Hub. Unlike the cloud version's microservices architecture, the self-managed version runs as a single pod to reduce resource overhead and network hops.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://developers.redhat.com/articles/2026/10/26/red-hat-lightspeed-advisor-self-managed-air-gapped-clusters>

## Questions this post answers

### How does Red Hat Lightspeed advisor work for air-gapped OpenShift clusters without internet access?

Red Hat Lightspeed advisor self-managed runs as a Red Hat Advanced Cluster Management for Kubernetes add-on, so the Insights Operator on each spoke cluster redirects its archive to a local endpoint on the ACM Hub instead of the cloud console. The Hub processes the data in place and shows recommendations and upgrade risk predictions in the ACM console, so no data ever leaves the cluster environment.

_daily.dev surfaces OpenShift and air-gapped infrastructure updates for teams tracking disconnected cluster tooling._

### Why does Red Hat Lightspeed advisor self-managed use a single-pod architecture instead of microservices?

A single pod consolidates overhead so it stays light on resource-constrained infrastructure, since even idle microservices consume CPU and memory. It also cuts complexity: function calls replace network calls, avoiding queues, serialization overhead, and the latency or failure points that come from components talking over the network, unlike the cloud version's horizontally scalable microservices design.

_Engineers weighing microservices versus monolith trade-offs can follow architecture decisions like this one on daily.dev._

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---

Tags: [#kubernetes](https://daily.dev/tags/kubernetes), [#observability](https://daily.dev/tags/observability), [#openshift](https://daily.dev/tags/openshift)

[View this post on daily.dev](https://daily.dev/posts/red-hat-lightspeed-advisor-self-managed-for-air-gapped-clusters-73nxv1o6m)

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