A dense city at night, lit by its infrastructure

Lumis Cloud & Infrastructure · Research direction

The same loop, for the services everything runs on.

Kubernetes, APIs, databases, and delivery pipelines fail across boundaries too. Whether the same approach carries over is a research question we will take up once Data & AI has proven itself.

Photograph: Polina Kuzovkova / Unsplash

Research direction

A question before a product.

Most data and AI incidents already cross into cloud infrastructure. The open-source SDK already reads Kubernetes and Prometheus, but that is shared groundwork, not a product.

Research directionMaturity 0 of 4 · Research direction: an idea we are studying; no working product code
Abstract · illustrative only

What we expect to explore

Open questions, not features.

  1. 01Workloads, services, and their runtime dependencies
  2. 02Deployments, configuration, and delivery pipelines
  3. 03Databases, queues, and shared infrastructure
  4. 04Change-aware diagnosis across teams and tools

Lumis Cloud & Infrastructure is not available. No product, timeline, or capability is offered or implied. The same platform and reasoning loop are being proven first in Lumis Data & AI.

Interested in the research?

We welcome conversations with research groups and teams operating systems like these.