- Extend StatSummary with p99, p75, p50 percentiles (in addition to peak, p95, avg)
- Add ContainerSummary type for per-container CPU cores and memory bytes stats
- Track container metrics from Cgroups map in Accumulator
- Include containers array in RunSummary sent to receiver
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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>
Add integration tests that verify the push client can successfully
send metrics to the receiver and they are stored correctly in SQLite.
Tests:
- TestPushClientToReceiver: Direct HTTP POST verification
- TestPushClientIntegration: Full PushClient with env vars
- TestMultiplePushes: Multiple pushes and filtering (parallel-safe)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Replace /api/v1/metrics/run/{runID} and /api/v1/metrics/repo/{org}/{repo}
with /api/v1/metrics/repo/{org}/{repo}/{workflow}/{job} for more precise
filtering by workflow and job name.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Add push client that sends run summary to a configurable HTTP endpoint
on shutdown. Execution context is read from GitHub Actions style
environment variables (with Gitea fallbacks).
New flag: -push-endpoint <url>
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Add a new receiver application under cmd/receiver that accepts metrics
via HTTP POST and stores them in SQLite using GORM. The receiver expects
GitHub Actions style execution context (org, repo, workflow, job, run_id).
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.
