How GPU Compute Actually Reaches WSL2's Linux Environment
The specific GPU paravirtualization mechanism, built jointly by Microsoft and NVIDIA, that lets WSL2 run CUDA workloads at near-native performance.
Operating systems, infrastructure, emulation, and technical history.
The specific GPU paravirtualization mechanism, built jointly by Microsoft and NVIDIA, that lets WSL2 run CUDA workloads at near-native performance.
WSL2's VM claims memory dynamically as Linux needs it and has historically been slow to release it back, plus what .wslconfig actually lets you control.
WSL2's original NAT networking isolates it from your LAN by default; mirrored mode, added later, takes a fundamentally different approach with real tradeoffs.
How admission controllers intercept API requests before they're persisted, and how OPA/Gatekeeper turn that hook into cluster-wide policy enforcement.
How the OCI runtime and image specs standardized what a 'container' actually is, and how containerd/CRI-O/runc fit together beneath Docker and Kubernetes.
How Podman's daemon-less, fork-exec architecture differs from Docker's client-daemon model, and what that means for rootless containers in production.
Diagnose Kubernetes CrashLoopBackOff from events, previous logs, exit status, probes, configuration, and controlled debugging without erasing evidence.
Recover Docker disk space methodically by measuring images, containers, caches, volumes, and logs before pruning, then add safe recurrence controls.
terraform plan or apply hangs, then fails with 'Error acquiring the state lock.' Here's how to confirm it's genuinely stale before force-unlocking it.
How Google's SRE practice in 2003 and the DevOps movement in 2009 emerged independently, solved related delivery problems, and later converged.