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Research into machine reliability and computing efficiency.

Our research examines how machines complete useful work, how operators investigate changing conditions, and how services recover. Rubian and Kestowv provide the operating foundation for Arcturus; the studies below explain the constraints and methods behind that work.

Research crossed into a public runtime.

Troy Mallory contributed the builtin-tracking mechanism in JRuby PR 9174 after reporting validation in Kestowv. JRuby maintainers merged and expanded the contribution, which entered the JRuby 10.1 release line.

Systems research for data centers meets power, cooling, hardware state, workloads, recovery, and human operations at the facility. Continue to infrastructure

The research starts with work that doesn't behave well enough.

A service retries without recovering. A release starts but fails its health check. An operator repeats the same investigation across several tools. Those are useful places to begin because the problem has a shape we can test.

Kestowv supplies service and resource controls for controlled pilots. Rubian gives people a programmable environment for inspecting and operating the system. Our wider work asks how those foundations can make machines and the organizations running them more useful.

Define an evaluation using the published methods.

Published methods and limitations matter as much as the result. A benchmark may answer one workload question; a recovery test answers another. Neither one should have to carry a claim about the whole company.

If the work connects to a problem in your environment, a defined evaluation is the next conversation. If you want to fund the research itself, the support program is a separate path.

Follow the question into the work.

The research library connects machine constraints, recorded measurements and operating methods. Start with the question you need to answer, then inspect the work behind it.

Working through a hardware or runtime decision? Explore compute evaluations

Follow the work.