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Implements core Grafana dashboard generation using Go structs: - Dashboard struct with UID, Title, Tags, Links, Rows, Templating - Panel types: timeseries, stat, gauge, text, table - Automatic gridPos calculation and panel ID assignment - Gap annotation support for missing metrics - Threshold configuration for gauges - Uses datasource UID PBFA97CFB590B2093 (Prometheus) All tests passing (11 test cases). User request: Create a Go package that generates Grafana dashboard JSON from Go structs to avoid hand-writing verbose JSON and make dashboards maintainable and testable. Note: Code partially generated by AI (Claude Sonnet 4.5)
Creates generate/main.go with: - writeJSON helper for writing dashboard JSON files - main() with configurable output directory - Placeholder for dashboard generation (to be added in Tasks 2-6) CLI builds successfully and is ready for dashboard definitions. User request: Create CLI entrypoint that imports dashboard definitions and writes JSON files. Note: Code partially generated by AI (Claude Sonnet 4.5)
Implements Task 2: Level 1 — Service Map Dashboard (StackRox Overview) This commit adds the top-level overview dashboard for the StackRox monitoring hierarchy. The dashboard provides a service map view with three main sections: - Service Health: Central process metrics (up status, CPU, memory, goroutines, version) - Connected Sensors: Cluster connectivity metrics (sensors, clusters, nodes, vCPUs) - Database: PostgreSQL health metrics (connection status, size, active connections, available space) The dashboard includes a drill-down link to the Level 2 'Central Internals' dashboard for detailed component analysis. Implementation follows test-driven development methodology with comprehensive test coverage verifying dashboard structure, panel configuration, and JSON validity. Files: - deploy/charts/monitoring/dashboards/generator/l1_overview.go: Dashboard definition - deploy/charts/monitoring/dashboards/generator/l1_overview_test.go: Test suite - deploy/charts/monitoring/dashboards/generator/generate/main.go: CLI integration User request: Implement Task 2: Level 1 — Service Map Dashboard following TDD methodology. Dashboard uses existing metrics from Central service (standard Go runtime metrics and custom StackRox metrics for sensor connectivity and database health). Note: Code partially generated with AI assistance (Claude Sonnet 4.5).
Implements the Level 2 dashboard that displays a grid view of all 10 logical regions within Central. Each region includes headline metrics and a link to its corresponding Level 3 detail dashboard. Dashboard structure: - UID: central-internals - 10 rows (one per logical region): Sensor Ingestion, Deployment Processing, Vulnerability Enrichment, Detection & Alerts, Risk Calculation, Background Reprocessing, Pruning & GC, Network Analysis, Report Generation, API & UI - Each row contains 3-4 metric panels plus a details link to Level 3 - Back-link to Level 1 StackRox Overview dashboard Notable features: - Identifies existing metrics gaps with text panels (e.g., no alert generation rate metric, no Central-side report generation metrics) - Uses histogram_quantile for p95 latency calculations - Uses rate() for counter metrics to show per-second rates - Follows StackRox dashboard generator patterns and testing conventions Testing: - Comprehensive test coverage in l2_central_test.go - All 16 tests pass - Validates metadata, row structure, panel queries, and JSON generation CLI integration: - Added L2 dashboard generation to generate/main.go - Outputs central-internals.json alongside stackrox-overview.json Implemented using TDD methodology: tests written first, then implementation, following Go best practices and StackRox coding style. User request: Implement Task 3: Level 2 — Central Internals Dashboard Code partially generated with AI assistance (Claude Code).
Implement the highest-value Level 3 detail dashboard for Central's Sensor Ingestion pipeline with comprehensive metrics breakdowns. Dashboard structure (central-sensor-ingestion): - Connection Status: sensor connectivity and state transitions - Deduper: throughput, hit rate, hash store size, and operations - Worker Queue: event processing, duration, with gap annotations for missing queue depth and in-flight metrics - Pipeline Processing: resource processing, panics, K8s event latency, with gap annotation for per-fragment metrics - Messages Not Sent: failed sends to sensor with type and reason Key features: - 3 gap annotation panels identify missing observability metrics - Full metric breakdowns with proper legend formats - Links back to Level 2 Central Internals dashboard - Follows TDD: comprehensive test coverage for all rows and panels Generated files: - deploy/charts/monitoring/dashboards/central-sensor-ingestion.json Task: ROX-33737 Phase 0 - Dashboard Hierarchy Prototype Partially AI-assisted.
Implements Task 5 from the Central metrics dashboard project. This dashboard provides deep visibility into the vulnerability enrichment pipeline with comprehensive metrics for: - Scan semaphore utilization and queue management - Image scanning performance (p50/p95/p99 latencies) - Node scanning metrics - Image deduplication statistics - Registry client requests, latency, and timeout tracking Includes 2 gap annotations identifying missing metrics: - Enrichment request counter (for failure rate calculation) - Node scan counter Test-driven development: comprehensive test suite covering all rows, panels, queries, and JSON generation. Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Implements Task 6: Create stub dashboards for the 8 remaining logical regions in Central. Each dashboard has real panels where metrics exist and prominent gap annotations documenting missing metrics. Dashboard UIDs: - central-deployment-processing: Deployment/pod/namespace resource processing - central-detection-alerts: Detection engine and alert generation - central-risk-calculation: Risk scoring and reprocessing - central-background-reprocessing: Background loops and batch processing - central-pruning-gc: Process pruning and garbage collection - central-network-analysis: Network flows and endpoint tracking - central-report-generation: Compliance operator and vuln reports - central-api-ui: GraphQL, gRPC, and API endpoint metrics All dashboards: - Include level-3 tag and back-link to central-internals dashboard - Mix real metric panels (timeseries/stat) with gap annotation panels - Document needed metrics for complete observability Implementation follows TDD methodology: 1. Wrote comprehensive tests first (l3_stubs_test.go) 2. Implemented L3Stubs() function with 8 dashboard specs 3. Integrated into CLI generator (generate/main.go) 4. Verified all tests pass and JSON output is valid Files: - Created: deploy/charts/monitoring/dashboards/generator/l3_stubs.go - Created: deploy/charts/monitoring/dashboards/generator/l3_stubs_test.go - Modified: deploy/charts/monitoring/dashboards/generator/generate/main.go Test results: All 77 tests pass. AI-assisted implementation based on user specification.
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Skipping CI for Draft Pull Request. |
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PR needs rebase. DetailsInstructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes-sigs/prow repository. |
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