Observable
Know what the system is actually doing. Make health, exceptions, and missing evidence visible.
Technology Operations • Architecture • Automation • IoT / Edge
I’m Ben Tartaglia, a technology operations and architecture leader with more than two decades of experience across enterprise infrastructure, field operations, connected systems, automation, security, and technical problem-solving.
Open to senior remote U.S. roles in infrastructure, architecture, automation, technical operations, IoT/edge, and trusted AI-enabled systems.
Current Focus
How I Design Operational Systems
Observe what is happening, establish state, control risk, handle failure, preserve evidence, recover, and improve. I apply that discipline to infrastructure, identity, connected devices, automation, and AI.
Know what the system is actually doing. Make health, exceptions, and missing evidence visible.
Preserve enough context to know what happened and resume work safely.
Assume networks, APIs, devices, and people will fail. Define degraded operation and recovery before they do.
Let authority and consequence determine autonomy. Make ownership, approval, and stop conditions explicit.
Important actions should leave evidence: inputs, versions, decisions, approvals, and outcomes.
Someone other than the builder must be able to deploy, troubleshoot, replace, and operate the system.
Systems in Practice
Follow the work from operating real environments to designing architectures, building implementations, investigating behavior, and explaining what it means.
Professional
Enterprise support, service reliability, networks, cloud and hybrid environments, identity, incident response, operational standards, and technical escalation.
Systems integration, REST APIs, PowerShell, Python, workflow automation, containers, CI/CD, data platforms, and operational tooling.
Connected-device lifecycle, field connectivity, hardware testing, firmware coordination, vendor management, BLE/UHF concepts, edge systems, and deployment handoff.
Case Studies
Supporting 2,200+ users across 89 locations while maintaining 99.99% availability and improving recurring issue resolution, deployment consistency, identity operations, and escalation quality.
Read case study →Building operational structure around connected devices, field connectivity, power resilience, testing, lifecycle management, vendor coordination, and deployment handoff.
Read case study →A working reference platform demonstrating durable workflow state, queues, approvals, retries, observability, containers, CI/CD, and infrastructure-as-code.
Read case study →Technology Lab
Six public projects make the operating discipline inspectable: automation, identity, AI evaluation, IoT/edge, PowerShell, and email security. Each connects implementation choices to reliability, ownership, and recovery.
Research
The AI Model Longitudinal Lab connects a research question to controlled observations and operational decisions. The October 2 baseline records 48 responses across six providers; it establishes an initial evidence trail, with further sampling and human review needed before claiming drift or ranking providers.
About
My work sits at the intersection of technical depth and operational leadership: understanding systems well enough to challenge assumptions, while keeping the larger business problem in view.
I’m especially interested in environments where infrastructure, automation, connected devices, security, and emerging technology overlap.