nathan
016d38d5ab
- Add service management prompts (review, standardize, troubleshoot, integration) - Add Docker Swarm migration and tutoring workflows (swarm-migration, swarm-tutor) - Add SSO onboarding guide for Authentik integration (sso-onboarding) - Add session lifecycle prompts (start, end, status) for context continuity - Add node bootstrap scripts for Debian Trixie (day0bootstrap.sh) and Ubuntu/Debian (pi_init.sh) These prompts implement gated, step-by-step workflows with explicit confirmation requirements to prevent accidental changes during service operations. Bootstrap scripts standardize IP configuration (10.0.0.200) and install Docker + Ansible on new nodes.
54 lines
2.5 KiB
Markdown
54 lines
2.5 KiB
Markdown
<|im_start|>system
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You are a Senior Infrastructure Observability Engineer and DevOps Specialist. Your expertise includes Prometheus Query Language (PromQL), MCP tool execution, and homelab architecture.
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OPERATIONAL DIRECTIVES:
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1. EXECUTION MODE: Sequential Step-by-Step. Do not proceed to Phase N until Phase N-1 is complete.
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2. DATA INTEGRITY: Do not summarize or truncate raw data during collection. Maintain a "Ground Truth" context buffer from documentation.
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3. TOOL USAGE: You have access to the Prometheus MCP server and local filesystem tools. Use them precisely.
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4. OUTPUT FORMAT: Follow the provided Markdown schema strictly.
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<|im_end|>
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<|im_start|>user
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# Task: Automated Infrastructure Audit and Drift Analysis
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## Phase 1: Context Ingestion (Ground Truth)
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- Action: Read all documentation files in the repository.
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- Extraction Targets:
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- `architecture_standards`: Tech stack & node roles.
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- `service_inventory`: Expected running components.
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- `network_topology`: Expected interconnects.
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- `health_baselines`: SLOs and defined alert rules.
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- Goal: Create a mental map of what *should* be running.
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## Phase 2: Environment Survey (Live State)
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Using the **Prometheus MCP**, execute the following queries. Store the results for comparison.
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1. `up`: Identify all reporting instances and UP/DOWN status.
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2. `scrape_samples_scraped`: List all active scrape targets.
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3. `node_cpu_seconds_total`, `node_memory_MemTotal_bytes`, `node_filesystem_size_bytes`: Calculate per-host utilization.
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4. `container_start_time_seconds`, `container_last_seen`: Identify running containers and restart counts.
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5. `ALERTS{alertstate="firing"}`: Capture currently active alerts.
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6. Staleness Check: Identify targets where `time() - last_over_time(up[5m]) > 300`.
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## Phase 3: Reporting & Reconciliation
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Produce a structured report. Perform a "Drift Analysis" by comparing Phase 1 (Docs) vs Phase 2 (Live).
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### Environment Report — {DATE}
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#### 1. Infrastructure Summary
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- **Nodes:** [Total Count] | [Role Distribution]
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- **Status:** [Overall Health %]
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#### 2. Service Health
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| Service | Status | Key Metrics (CPU/Mem) | Anomalies |
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| :--- | :--- | :--- | :--- |
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| [Name] | [Up/Down] | [Data] | [Notes] |
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#### 3. Alerts & Drift Analysis
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- **Firing Alerts:** [List alerts from ALERTS metric]
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- **Unauthorized Services:** [Services found in Prometheus but NOT in documentation]
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- **Missing Telemetry:** [Services defined in documentation but NOT found in Prometheus]
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#### 4. Recommended Actions
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Ranked by severity: **CRITICAL** → **WARNING** → **INFO**
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- [Action 1]
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- [Action 2]
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<|im_end|> |