Add cgroup-based process grouping to the resource collector. Processes are
grouped by their cgroup path, with container names resolved via configurable
process-to-container mapping.
New features:
- Read cgroup info from /proc/[pid]/cgroup (supports v1 and v2)
- Parse K8s resource notation (500m, 1Gi, etc.) for CPU/memory limits
- Group metrics by container using CGROUP_PROCESS_MAP env var
- Calculate usage percentages against limits from CGROUP_LIMITS env var
- Output cgroup metrics with CPU cores used, memory RSS, and percentages
Environment variables:
- CGROUP_PROCESS_MAP: Map process names to container names for discovery
- CGROUP_LIMITS: Define CPU/memory limits per container in K8s notation
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
slog.Any() does not properly serialize slices of slog.Group() attributes,
resulting in broken output like {"Key":"","Value":{}}. Fixed by passing
structs with JSON tags directly to slog.Any() instead.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Add Go application that collects CPU and RAM metrics from /proc filesystem:
- Parse /proc/[pid]/stat for CPU usage (user/system time)
- Parse /proc/[pid]/status for memory usage (RSS, VmSize, etc.)
- Aggregate metrics across all processes
- Output via structured logging (JSON/text)
- Continuous collection with configurable interval
Designed for monitoring pipeline runner resource utilization to enable
dynamic runner sizing.
