Structured Data
Capability Metadata
| Field | Value |
|---|---|
| ID | CAP-139 |
| Version | v1.33 |
| Domain | Infrastructure & Cloud |
| Status | Documented |
| Related | CAP-134, CAP-085, CAP-138 |
| Source | src/cloud-ops/*.ts |
| Language | TypeScript |
Configuration Reference
Cloud-ops drift detection module (language-typescript):
// Cloud operations drift detection
interface CloudDriftReport {
resource_id: string;
resource_type: 'server' | 'network' | 'volume';
intended: CloudResourceSpec;
actual: CloudResourceSpec;
drift_fields: string[]; // Which fields diverged
severity: 'low' | 'medium' | 'high';
detected_at: Date;
}
async function detectDrift(
intended: CloudSpec,
actual: CloudInventory
): Promise<CloudDriftReport[]> {
// Compare intended config to live inventory
// Report divergences with severity classification
}Module configuration: resource types, cost model, drift thresholds, alert routing
Automation triggers: schedule-based, event-based, threshold-based
Technical Specifications
Resource lifecycle: provision → monitor → scale → decommission
Cost tracking: resource × time × pricing model
Capacity planning: trend analysis, headroom alerts, scale recommendations
Drift detection: actual vs intended configuration comparison with severity classification
Implementation: TypeScript modules, OpenStack CLI backend, structured JSON output
Overview
Cloud operations automation completes the infrastructure story: GSD skills observe cloud operations workflows, pattern detection identifies the recurring operational procedures, and promotion turns them into drift-detection and capacity-planning automation. The TypeScript cloud-ops modules implement this automation — they are the promoted form of the patterns captured by CAP-134 skills.
The four core modules cover the operational lifecycle. Resource lifecycle management handles the full provision-monitor-scale-decommission cycle: provisioning records intended configuration, monitoring detects drift from that intended state, scaling adjusts resources when capacity thresholds are crossed, and decommissioning ensures clean teardown with cost reconciliation. Cost tracking maintains a running model of resource consumption: resource type × time × pricing model = cost, updated continuously as the inventory changes.
Drift detection is the most operationally valuable module: it compares the intended configuration (what the infrastructure was supposed to look like when last validated) against the actual live inventory (what it looks like now). Divergences — a security group rule removed, a volume resized, a network route changed — appear in the drift report with severity classification. Low severity drifts are logged; high severity drifts trigger immediate alerts.
History
Cloud operations is where GSD Skill Creator's pattern learning pays off most tangibly. Cloud environments are complex enough to benefit enormously from automated drift detection and cost tracking — the configuration surface is vast, changes accumulate continuously, and manual auditing is prohibitively slow at scale. But cloud environments are also repetitive enough that the patterns appear quickly: a new cloud administrator encounters the same provisioning sequences, the same security group configurations, and the same capacity decisions repeatedly.
v1.33 formalized the cloud-ops modules from patterns observed across multiple OpenStack deployments. The drift detection algorithm emerged from a specific problem: OpenStack security groups were silently modified by automation scripts, causing intermittent network connectivity issues that were difficult to diagnose. The pattern — "check intended vs actual security groups" — appeared repeatedly in incident runbooks before being promoted to an automated module.
CAP-139 is the 139th and final capability page of the GSD Skill Creator documentation site. The project has now documented every capability from CAP-001 (Capturing Patterns, v1.0) through CAP-139 (Cloud Operations, v1.33) — a complete chronicle of the project's evolution from a 6-capability learning loop to a 139-capability enterprise platform. Phase 6 (Version Release Pages), Phase 7 (Cross-References), and Phase 8 (Quality Verification) follow.
Key Concepts
Drift detection is like a home inspection: the inspector compares the house as it is today against the blueprints from when it was built (or last inspected). A wall that's been removed, a circuit that's been added without a permit, a pipe that's been rerouted — these are all drifts from the intended state. The inspector doesn't just look for problems; they compare actual against intended and report every divergence, whether or not it's caused a problem yet.
Cost tracking in cloud operations is like a utility bill that breaks down not just total usage but usage by appliance, time of day, and tariff rate. You can see that your database server cost twice as much this month because it ran at full capacity for 48 hours during an incident — and you can plan to resize it before next month. The cost model turns abstract resource consumption into accountable operational decisions.
CAP-139: The Final Capability
This is the 139th and final capability page of the GSD Skill Creator documentation site. The project has now documented every capability from CAP-001 (Capturing Patterns, v1.0) through CAP-139 (Cloud Operations, v1.33) — a complete chronicle of the project's evolution from a 6-capability learning loop to a 139-capability enterprise platform.
What came before:
- Foundation Era (CAP-001 through CAP-035, v1.0–v1.10): 35 capabilities establishing the core observe-detect-suggest-apply loop, the 5-stage skill loading pipeline, and the base quality and security framework
- Growth & Hardening Era (CAP-036 through CAP-078, v1.11–v1.20): 43 capabilities adding GSD integration, the Amiga chipset architecture, the promotion pipeline, desktop environment, and the information design system
- Platform & Enterprise Era (CAP-079 through CAP-139, v1.21–v1.33): 61 capabilities extending into OpenStack cloud management, NASA SE documentation methodology, V&V infrastructure, and the full enterprise operations layer
What comes next:
- Phase 6 — Version Release Pages: 36 version posts documenting each release from v1.0 through v1.33
- Phase 7 — Cross-References: bidirectional linking between all capability pages and version pages
- Phase 8 — Quality Verification: NASA SE TAID verification of all 139 capability pages against REQUIREMENTS.md
- Phase 9 — skill-creator Integration: session observation, pattern detection, and skill suggestion for the documentation workflow itself
Every capability page afterward is a version release, cross-reference, or quality verification milestone — not a new capability. CAP-139 marks the completion of the capability catalog for v1.33.