Placement Profiles: Describing the Work Before Choosing Where It Runs
Placement profiles separate durable workload requirements from the infrastructure currently available to satisfy them.
Notes
25 posts, 2012–2026: reliability engineering, platform architecture, migration constraints, and AI-assisted engineering.
Recent
Placement profiles separate durable workload requirements from the infrastructure currently available to satisfy them.
Running AI workloads across a laptop, a homelab, and cloud APIs turns model selection into a scheduling problem: where the task runs and where each inference request is served.
How I package OpenCode agent configuration as version-controlled inputs with validation and rollback, and what happened to the second harness I added on top of it.
From the archive
Earlier writing, kept online for reference. The CentOS, Git deployment, and Linux migration pieces are dated but the approach still holds up; the personal essays from 2012–2014 don't reflect how I write or think now.
2015
2014
2012