Chris Maestas · CTO, Data & AI Storage Solutions — IBM

Data infrastructure for HPC and AI.

I design systems that put unstructured data to work—from edge clusters to global-scale storage—and build open-source tools for benchmarking, cluster operations, and IBM Storage Scale.

Tools built for real infrastructure.

Personal open-source work focused on repeatability, safer operations, and useful data at cluster scale.

Cluster and data tooling.

dool

Real-time command-line monitoring of Linux system resources—CPU, memory, network, disk, load—with a plugin architecture. Forked from scottchiefbaker/dool.

PythonMonitoringFork

pdsh

A multithreaded parallel remote shell client that runs commands across many hosts at once, over ssh, rsh, or Kerberos IV. Forked from chaos/pdsh.

CCluster opsFork

ctrl-data-mgmt

A local file metadata catalog: index the directories you care about, then find what's eating your disk and what you're storing twice. Pure Python standard library, nothing leaves the machine.

PythonCLI

Publications, talks & writing.

Selected work on storage architecture, AI data infrastructure, and operating systems at scale.

Systems at scale.

For more than 25 years, I’ve architected enterprise IT systems across federal, commercial, and public sectors. My work spans HPC, hybrid and AI infrastructure, and unstructured data across file, object, and tape.

I work across cloud, on-premises, and edge environments on bare-metal, virtualized, and containerized platforms. The projects on this site are personal open-source work.