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new DR and spec for cluster monitoring, docs updated

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This commit is contained in:
Anton Afanasyeu
2026-06-26 19:47:17 +02:00
parent df726f5993
commit aab2b8512d
53 changed files with 5505 additions and 737 deletions
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15
.cursorignore Normal file
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# Binary outputs — not useful for AI context
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# Python bytecode
__pycache__/
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*.pyo
# macOS artifacts
.DS_Store
# Editor temp files
*.swp
*.swo
*~

26
.gitignore vendored Normal file
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# Python bytecode (generated by PDF build scripts)
__pycache__/
*.pyc
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\#*\#
# JetBrains / VSCode local state
.idea/
.vscode/
# Windows
Thumbs.db
ehthumbs.db
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38
20260602_REVERSE_SSH_proposals_summary.pdf
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<<
/Filter [ /ASCII85Decode /FlateDecode ] /Length 2956
/Filter [ /ASCII85Decode /FlateDecode ] /Length 2915
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<<
/Filter [ /ASCII85Decode /FlateDecode ] /Length 4186
/Filter [ /ASCII85Decode /FlateDecode ] /Length 4269
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<<
/Filter [ /ASCII85Decode /FlateDecode ] /Length 3952
/Filter [ /ASCII85Decode /FlateDecode ] /Length 3949
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20260608_ALPHA_PRIORITIES.pdf
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/Author (Android Cast project) /CreationDate (D:20260623115603+02'00') /Creator (\(unspecified\)) /Keywords () /ModDate (D:20260623115603+02'00') /Producer (ReportLab PDF Library - \(opensource\))
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# Infrastructure health monitoring — design review (DR)
<!-- doc-meta:start -->
| Field | Value |
|---|---|
| Author | Anton Afanasyeu |
| Revision | R0 |
| Creation date | 2026-06-26 |
| Last modification date | 2026-06-26 |
| Co-authored | Cursor Agent (project assistant) |
| Severity | high |
| State | accepted |
| Document type | DR |
| Superseded by | — |
| Specification | [docs/specs/20260626_cluster_monitoring.md](../specs/20260626_cluster_monitoring.md) |
<!-- doc-meta:end -->
---
**Document type:** DR (Design Review)
**Source draft:** [docs/drafts/20260626_cluster_monitoring.txt](../drafts/20260626_cluster_monitoring.txt)
**Specification:** [docs/specs/20260626_cluster_monitoring.md](../specs/20260626_cluster_monitoring.md) (normative implementation doc)
**PDF:** [20260626_cluster_monitoring.pdf](20260626_cluster_monitoring.pdf) · Regenerate: `bash ac-docs/build-pdf.sh`
**Status:** Accepted R0 — implement per SPEC
**Scope:** Passive infrastructure monitoring and alerting for the XEN-based VM cluster (cast01–cast04); Track A only — automated remediation is Track B ([drafts/20260626_cluster_orchestration.txt](../drafts/20260626_cluster_orchestration.txt))
**Related:** [INFRA.md](../INFRA.md) · [specs/20100612_1_scaling.md](../specs/20100612_1_scaling.md) · [specs/20260618_repos_reorganizing.md](../specs/20260618_repos_reorganizing.md) · [orchestration/sim/cluster0/ARCHITECTURE.md](../../orchestration/sim/cluster0/ARCHITECTURE.md) · [20260620_postgres_timescale_db_platform.md](../20260620_postgres_timescale_db_platform.md)
**Documentation index:** [README.md](../README.md)
---
## Table of contents
<!-- toc -->
- [1. Executive summary](#1-executive-summary)
- [2. Problem statement](#2-problem-statement)
- [3. Track A / Track B scope split](#3-track-a--track-b-scope-split)
- [4. Responsibility domains](#4-responsibility-domains)
- [5. Monitoring topology — cast04](#5-monitoring-topology--cast04)
- [6. Tool selection](#6-tool-selection)
- [7. Alert channels](#7-alert-channels)
- [8. Infrastructure constraints](#8-infrastructure-constraints)
- [9. Relationship to TimescaleDB / business metrics](#9-relationship-to-timescaledb--business-metrics)
- [10. Risks and mitigations](#10-risks-and-mitigations)
- [11. Non-goals (Track B reference)](#11-non-goals-track-b-reference)
- [12. Related documents](#12-related-documents)
- [13. Changelog](#13-changelog)
<!-- /toc -->
---
## 1. Executive summary
**Question:** How should the VM cluster (cast01–cast03) and its microservices be continuously monitored, and what tooling should be deployed?
**Short answer:** Deploy a dedicated monitoring VM (cast04, Alpine LTS) running Prometheus + node_exporter (per-node) + blackbox_exporter + mysqld_exporter + Alertmanager + Grafana. Alerts route to email (SMTP relay) and Telegram. External availability is covered by UptimeRobot (free tier, no install). Automated remediation is out of scope for R0 — it becomes Track B.
**DR decisions (R0):**
| Item | Decision |
|------|----------|
| **Scope** | Track A: passive monitoring + alerting only; no auto-remediation |
| **Monitoring node** | **cast04** — dedicated 4th Alpine LTS VM; paravirt XEN guest |
| **Metrics stack** | **Prometheus** + **node_exporter** + **blackbox_exporter** + **mysqld_exporter** |
| **Dashboards** | **Grafana** (community dashboards; self-hosted on cast04) |
| **Alerting** | **Alertmanager** → email SMTP relay + Telegram bot API |
| **External uptime** | **UptimeRobot** free tier — no install; HTTP probe to `apps.f0xx.org` from internet |
| **Status page** | **Uptime Kuma** on cast04 (Docker) — internal, access via SSH tunnel |
| **Log aggregation** | Out of scope R0; Grafana Loki planned for R1 (Track B) |
| **VictoriaMetrics** | Not used at R0 — not in Alpine apk; standard Prometheus sufficient at 3-node scale |
| **Zabbix** | Not chosen — batteries-included but inflexible for future business metrics integration |
| **Nagios** | Not chosen — legacy, superseded by Prometheus+Alertmanager |
| **Kibana / ELK** | Excluded — log-centric, heavy, wrong tool for infra metrics |
| **FE / router changes** | None at R0 — monitoring is internal; FE nginx config change only if external Grafana access added later |
| **DNS changes** | None at R0 |
| **Data residency** | All metric data stays self-hosted (no external aggregator) |
| **Track B** | Placeholder draft created: [drafts/20260626_cluster_orchestration.txt](../drafts/20260626_cluster_orchestration.txt) |
---
## 2. Problem statement
The project runs a cluster of XEN-based VMs (cast01–cast03) hosting microservices at various complexity levels — from a single service per node to multi-node DB master/replica chains. As the microservice split progresses (per [specs/20260618_repos_reorganizing.md](../specs/20260618_repos_reorganizing.md)), manual observation of each service and node becomes impractical.
Key failure modes that must be detected and alerted:
| Category | Example failure |
|----------|----------------|
| Hardware | CPU steal time spiking (Xen overcommit), disk SMART pre-failure, RAM exhaustion |
| Software | nginx 5xx surge, php-fpm worker saturation, MariaDB replication lag, process crash |
| Network | Egress/ingress saturation, NIC packet drops |
| Provider | Uplink outage, XEN host failure, VM unavailability |
None of these are currently monitored in a structured way.
---
## 3. Track A / Track B scope split
This DR and its SPEC cover **Track A only**.
| Track | Scope | Milestone |
|-------|-------|-----------|
| **Track A** (this SPEC) | Passive monitoring: observe, record, alert | R0 |
| **Track B** (future) | Active remediation: orchestration reacts to alert signals — auto-scale, auto-failover, DDoS response | R1+ |
Track B details and prerequisites are captured in [drafts/20260626_cluster_orchestration.txt](../drafts/20260626_cluster_orchestration.txt). Track B MUST NOT be designed until Track A alerting is stable and at least 4 weeks of baseline metric data has been collected.
---
## 4. Responsibility domains
The infrastructure has two clearly bounded ownership layers:
```text
┌──────────────────────────────────────────────────────┐
│ Anton's layer (SaaS — contact owner for issues) │
│ • Internet provider / uplink │
│ • Router (Debian; config-only from project side) │
│ • XEN hypervisor hosts + VM provisioning │
│ • Internal network (10.7.0.0/8), git server │
│ • FE VM (Gentoo HVM; nginx TLS; config-only) │
└──────────────────────────────────────────────────────┘
delegated cluster boundary ↓
┌──────────────────────────────────────────────────────┐
│ Project owner's layer (full control) │
│ • cast01 / cast02 / cast03 — workload VMs │
│ • cast04 — monitoring VM (this SPEC) │
│ • All software installed on these VMs │
│ • MariaDB, nginx, PHP-FPM, microservices │
└──────────────────────────────────────────────────────┘
```
**Monitoring responsibility boundary:** The project owner monitors everything within the delegated cluster. When monitoring detects that the cause is in Anton's layer (hardware fault, uplink, XEN host instability), the action is to notify Anton — not to auto-remediate.
**Hardware guarantee baseline** (from Anton's SLA commitment per draft):
| Resource | Guaranteed value |
|----------|-----------------|
| CPU | Intel Xeon Gold 5218, 8 real cores @ 2.30 GHz per node |
| RAM | 8 GB per node |
| Disk | 32 GB non-shared per node |
| Network | 200 Mbit/s in/out |
| Cluster size | 3 workload nodes (cast01–cast03) |
Monitoring MUST alert when measured values diverge significantly from this baseline (e.g. CPU steal > 10% for > 5 min = Xen overcommit alarm → notify Anton).
---
## 5. Monitoring topology — cast04
```text
[ Internet ]
│
UptimeRobot (external)
HTTP probe → apps.f0xx.org
│
┌──────────────┴──────────────┐
│ FE (Gentoo HVM) │ ← no new software
│ TLS nginx, 134.17.26.161 │
└──────────────┬──────────────┘
│ 10.7.0.0/8 internal
┌────────────────────┼────────────────────────────┐
│ │ cluster │
│ ┌─────────┐ ┌─────────┐ ┌─────────┐ │
│ │ cast01 │ │ cast02 │ │ cast03 │ │
│ │workload │ │workload │ │workload │ │
│ │node_exp │ │node_exp │ │node_exp │ │
│ └────┬────┘ └────┬────┘ └────┬────┘ │
│ │ │ │ │
│ ┌────┴─────────────┴─────────────┴────┐ │
│ │ cast04 (monitoring VM) │ │
│ │ Prometheus Alertmanager Grafana │ │
│ │ blackbox_exporter mysqld_exporter │ │
│ │ Uptime Kuma (Docker) node_exporter │ │
│ └──────────────────────────────────────┘ │
└───────────────────────────────────────────────────┘
```
- Prometheus scrapes node_exporter on cast01/cast02/cast03/cast04 via internal IPs
- blackbox_exporter on cast04 probes service HTTP/TCP endpoints from inside cluster
- mysqld_exporter runs on the MariaDB primary node (cast01 or cast02 per deployment)
- cast04 has no workload services — monitoring-only
- Access to Grafana/Uptime Kuma UI: SSH tunnel from dev machine at R0
**cast04 minimum spec (request from Anton):**
| Resource | Minimum |
|----------|---------|
| CPU | 2 vCPU |
| RAM | 2 GB (Prometheus + Grafana + Alertmanager) |
| Disk | 32 GB (90 days metric retention at 15s scrape) |
| OS | Alpine latest LTS, paravirt XEN |
---
## 6. Tool selection
### 6.1 Decided stack
| Component | Package / source | Role |
|-----------|-----------------|------|
| Prometheus | `prometheus` (apk) | Time-series scraper + TSDB |
| node_exporter | `prometheus-node-exporter` (apk) | Hardware + OS metrics per VM |
| blackbox_exporter | `prometheus-blackbox-exporter` (apk) | HTTP/TCP service health probes |
| mysqld_exporter | `prometheus-mysqld-exporter` (apk) | MariaDB metrics |
| Alertmanager | `alertmanager` (apk) | Alert routing (email + Telegram) |
| Grafana | `grafana` (apk) | Dashboards |
| Uptime Kuma | Docker image `louislam/uptime-kuma` | Service status page |
| UptimeRobot | SaaS free tier (web account) | External HTTP probe |
All apk packages are available in Alpine community/edge repos. Docker (`docker` apk) is available for Uptime Kuma.
### 6.2 Options rejected
| Tool | Reason not chosen |
|------|------------------|
| Kibana / ELK | Log-centric, heavy (Elasticsearch needs 4+ GB), wrong tool for infra metrics |
| Zabbix | Batteries-included but less composable; harder to extend to business metrics later |
| Nagios Core | Legacy; status-only; no time-series; superseded by Prometheus+Alertmanager |
| VictoriaMetrics | Not in Alpine apk repos; standard Prometheus sufficient at 3-node scale |
| Grafana Cloud | Data must remain self-hosted (PO preference) |
| Netdata | Good for quick bootstrap but adds another agent daemon; Prometheus covers the same ground |
### 6.3 Future additions (R1 / Track B)
| Component | Role |
|-----------|------|
| Grafana Loki + Promtail | Centralized log aggregation (replaces manual syslog review) |
| Alertmanager webhook handlers | Trigger ac-deploy scripts on alert (foundation for Track B remediation) |
---
## 7. Alert channels
| Channel | Tool | Requirement |
|---------|------|-------------|
| Email | Alertmanager SMTP | **Required** — primary alert channel |
| Telegram | Alertmanager Telegram receiver | **Recommended** — fast ops notifications |
| Status page | Uptime Kuma | **Recommended** — visual per-service uptime |
| External uptime | UptimeRobot | **Required** — provider-fault detection |
**Email SMTP relay:** Alertmanager needs an outbound SMTP relay (NOT an inbound routing service). Options: Gmail account + app password, or Mailgun free tier (10k emails/month). **Note:** ImprovMX and addy.io are inbound email routing services — they are not SMTP relay providers and cannot be used for Alertmanager outbound alerts.
**Telegram:** Purely API-based — no software installation. Register a bot via @BotFather, obtain `TOKEN` and `CHAT_ID` (add bot to ops group or DM). Alertmanager calls Telegram HTTP API from cast04.
**Accounts to create before deploy (PO action):**
| Account | Purpose | Notes |
|---------|---------|-------|
| Gmail app password OR Mailgun free | Alertmanager SMTP relay | Gmail: Settings → Security → App passwords |
| Telegram bot via @BotFather | Alertmanager Telegram receiver | Note TOKEN + CHAT_ID |
| UptimeRobot free account | External HTTP probe | uptimerobot.com; add monitor for `apps.f0xx.org` |
---
## 8. Infrastructure constraints
Constraints discovered during DR review — all accounted for in SPEC:
| Constraint | Impact |
|------------|--------|
| Paravirt XEN guest (no HVM) | node_exporter works fine on paravirt; Xen steal time metric available |
| Alpine LTS + apk only | All stack components available as apk packages; Uptime Kuma via Docker (apk-installable) |
| FE / router: no new software | Monitoring is entirely internal; no FE changes at R0 |
| Data self-hosted | No Grafana Cloud or external aggregator |
| 8 GB RAM per workload node | Standard Prometheus on cast04 is sufficient (Prometheus ~200–500 MB for this scale) |
---
## 9. Relationship to TimescaleDB / business metrics
The project has a separate PostgreSQL + TimescaleDB platform plan ([20260620_postgres_timescale_db_platform.md](../20260620_postgres_timescale_db_platform.md)). These two stores serve different purposes and coexist:
| Layer | Store | Metrics type | Retention |
|-------|-------|-------------|-----------|
| Infrastructure | Prometheus TSDB (cast04) | CPU, RAM, disk, latency, process health | 90 days |
| Business / app | TimescaleDB (PostgreSQL) | Crash rates, session counts, graph analytics | Long-term |
Grafana on cast04 can query **both** data sources. No ETL between them is required.
---
## 10. Risks and mitigations
| Risk | Mitigation |
|------|------------|
| cast04 itself fails — monitoring goes dark | cast04 is monitored by UptimeRobot externally; Alertmanager persistence via local disk |
| Xen host failure takes cast04 offline | UptimeRobot external probe survives; operator is alerted from outside |
| SMTP relay rate limit hit during incident storm | Alertmanager grouping + repeat_interval configured; Telegram as parallel channel |
| apk package version lag | Use Alpine edge repo for monitoring components if LTS versions are too old |
| Prometheus disk fill (90 day retention + 3 nodes) | Estimated < 5 GB for 3 nodes at 15s scrape; 32 GB disk leaves comfortable margin |
| cast04 RAM insufficient | 2 GB minimum; Prometheus + Grafana + Alertmanager combined ~500 MB–1 GB typical |
| External UptimeRobot free tier limits | Free tier: 50 monitors, 5-min check interval — sufficient for R0 |
---
## 11. Non-goals (Track B reference)
The following are explicitly **out of scope** for this DR and SPEC:
- Automatic horizontal scaling (add node under CPU load)
- Automatic scale-in (remove idle node)
- DDoS automated response
- Automatic storage failover
- Any orchestration that modifies cluster topology without human approval
These scenarios are documented as future work in **[drafts/20260626_cluster_orchestration.txt](../drafts/20260626_cluster_orchestration.txt)** (Track B). Track B DR and SPEC will be authored once Track A is operational and baseline metrics are available.
---
## 12. Related documents
| Document | Role |
|----------|------|
| [specs/20260626_cluster_monitoring.md](../specs/20260626_cluster_monitoring.md) | Normative implementation SPEC (this DR's output) |
| [drafts/20260626_cluster_orchestration.txt](../drafts/20260626_cluster_orchestration.txt) | Track B placeholder (auto-remediation, future) |
| [INFRA.md](../INFRA.md) | FE/BE topology, hosts, ports |
| [specs/20100612_1_scaling.md](../specs/20100612_1_scaling.md) | VM roles and cluster layout |
| [specs/20260618_repos_reorganizing.md](../specs/20260618_repos_reorganizing.md) | Microservice split (monitoring must track each MS) |
| [20260620_postgres_timescale_db_platform.md](../20260620_postgres_timescale_db_platform.md) | TimescaleDB for business metrics (complements Prometheus) |
| [orchestration/sim/cluster0/ARCHITECTURE.md](../../orchestration/sim/cluster0/ARCHITECTURE.md) | Lab cluster node layout |
| [GRAFANA_vs_others_graphvis_pivot.md](../GRAFANA_vs_others_graphvis_pivot.md) | Earlier Grafana evaluation for app analytics |
---
## 13. Changelog
| Rev | Date | Change |
|-----|------|--------|
| R0 | 2026-06-26 | Initial DR — accepted; decisions locked; SPEC generated |

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/Filter [ /ASCII85Decode /FlateDecode ] /Length 849
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/Filter [ /ASCII85Decode /FlateDecode ] /Length 3955
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/Filter [ /ASCII85Decode /FlateDecode ] /Length 3020
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/Filter [ /ASCII85Decode /FlateDecode ] /Length 3911
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/Author (Android Cast project) /CreationDate (D:20260623115606+02'00') /Creator (\(unspecified\)) /Keywords () /ModDate (D:20260623115606+02'00') /Producer (ReportLab PDF Library - \(opensource\))
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# Installing macOS Sierra 10.12 as a XEN guest
<!-- doc-meta:start -->
| Field | Value |
|---|---|
| Author | Anton Afanasyeu |
| Revision | R0 |
| Creation date | 2026-06-26 |
| Last modification date | 2026-06-26 |
| Co-authored | Cursor Agent (project assistant) |
| Severity | low |
| State | in progress — HVM-only; CloverNG/OpenCore path |
| Document type | technical guide |
<!-- doc-meta:end -->
\newpage
\newpage
---
**Document type:** Technical guide
**PDF:** [Installing_MacOS_Sierra_10.12_as_XEN_guest.pdf](Installing_MacOS_Sierra_10.12_as_XEN_guest.pdf) · Regenerate: `bash ac-docs/build-pdf.sh`
**Scope:** Running macOS Sierra (10.12) as a XEN HVM guest using a `.dmg` source, OVMF UEFI firmware, and Clover or OpenCore EFI bootloader
**Documentation index:** [README.md](README.md)
---
> **Legal notice:** macOS is proprietary software. Apple's macOS EULA permits installation only on
> Apple-branded hardware. Running macOS on non-Apple hardware (including XEN virtual machines)
> violates Apple's EULA. This document is provided for research, testing, and educational purposes
> only. Do not use a macOS XEN guest in production or for commercial purposes without Apple-licensed
> hardware.
---
## Table of contents
<!-- toc -->
- [1. Prerequisites and host requirements](#1-prerequisites-and-host-requirements)
- [2. Critical constraint — HVM only, not paravirt](#2-critical-constraint--hvm-only-not-paravirt)
- [3. Architecture overview](#3-architecture-overview)
- [4. Bootloader choice — Clover vs OpenCore](#4-bootloader-choice--clover-vs-opencore)
- [5. Tools and packages](#5-tools-and-packages)
- [6. Step 1 — Convert .dmg to raw image](#6-step-1--convert-dmg-to-raw-image)
- [7. Step 2 — Create a bootable macOS installer disk](#7-step-2--create-a-bootable-macos-installer-disk)
- [8. Step 3 — Prepare the target installation disk](#8-step-3--prepare-the-target-installation-disk)
- [9. Step 4 — Obtain and configure Clover or OpenCore EFI](#9-step-4--obtain-and-configure-clover-or-opencore-efi)
- [10. Step 5 — XEN HVM domain configuration](#10-step-5--xen-hvm-domain-configuration)
- [11. Step 6 — AppleSMC and the OSK key](#11-step-6--applesmc-and-the-osk-key)
- [12. Step 7 — CPUID masking](#12-step-7--cpuid-masking)
- [13. Step 8 — Run the installer](#13-step-8--run-the-installer)
- [14. Step 9 — Post-install: Clover/OC on target disk](#14-step-9--post-install-cloveroC-on-target-disk)
- [15. Networking in the guest](#15-networking-in-the-guest)
- [16. Known issues and limitations](#16-known-issues-and-limitations)
- [17. Troubleshooting](#17-troubleshooting)
- [18. Comparison: Clover vs OpenCore for XEN](#18-comparison-clover-vs-opencore-for-xen)
- [19. References](#19-references)
- [20. Changelog](#20-changelog)
<!-- /toc -->
---
## 1. Prerequisites and host requirements
### XEN host (managed by Anton)
| Requirement | Value | Notes |
|-------------|-------|-------|
| XEN version | 4.14+ recommended | Older may lack OVMF features |
| CPU | Intel with VT-x + VT-d | Xeon Gold 5218 ✓ — SSE4.1 present |
| OVMF package | Installed on XEN host | `apt install ovmf` / `apk add ovmf` |
| QEMU | Installed on XEN host | XEN HVM uses QEMU as device model |
| VNC or SPICE | Available for console | Needed during installation |
| VT-d | Optional but helpful | For USB passthrough of physical keyboard/mouse |
### Caller actions (request from Anton)
```
VM request:
type = hvm ← mandatory; paravirt will NOT work (see §2)
memory = 4096 ← 4 GB minimum for installer
vcpus = 2
firmware = ovmf ← UEFI required; traditional BIOS loader will not boot macOS Sierra
VNC console access ← required during installation
```
### Preparation materials needed
| Item | Notes |
|------|-------|
| `Install macOS Sierra.app` or its `.dmg` | From Apple or Hackintosh image archive |
| Clover r5xxx `.zip` or OpenCore `.zip` | See §4 for which to choose |
| `macOS Sierra` base system `.dmg` or `BaseSystem.dmg` | Embedded in the installer |
| An EFI config for Sierra | `config.plist` — community presets available |
| AppleSMC OSK string | Required by macOS kernel — see §11 |
---
## 2. Critical constraint — HVM only, not paravirt
**macOS cannot run in XEN paravirt mode.** This is a hard technical blocker, not a configuration issue:
| Mode | Works? | Reason |
|------|--------|--------|
| HVM (`type = "hvm"`) | **Yes** | Full hardware emulation (VT-x); macOS sees real x86 hardware |
| Paravirt (`type = "pv"`) | **No** | Paravirt replaces hardware with Xen hypercalls; macOS has no XEN PV drivers and the boot sequence is incompatible |
| PVH | **No** | Hybrid mode still lacks the UEFI environment macOS requires |
This means **the macOS guest must be an HVM VM**. If the project moves to paravirt-only nodes for cost/performance reasons, macOS cannot share that pool — it needs a dedicated HVM-capable slot.
Confirm with Anton that the XEN host has hardware VT-x enabled (`xm info | grep hvm` or `xl info | grep virt_caps` should show `hvm`).
---
## 3. Architecture overview
```text
XEN Host (Gentoo / any Linux, Intel VT-x)
│
└── HVM Guest: macos-sierra
│
├── OVMF (UEFI firmware) ← provided by XEN host, replaces BIOS
│ └── boots from EFI partition on disk
│
├── EFI disk / partition
│ └── Clover or OpenCore ← macOS-aware UEFI bootloader
│ ├── injects AppleSMC
│ ├── patches CPUID (Hackintosh-style)
│ ├── provides fake SMBios (Mac model)
│ └── chainloads macOS boot.efi
│
├── macOS installer disk (hdb) ← converted from .dmg
│
└── Target disk (hda) ← blank disk, macOS installs here
```
**Why OVMF + Clover/OC (not just OVMF alone):**
OVMF provides UEFI, but macOS additionally requires Apple-specific firmware tables (SMBios,
AppleSMC, NVRAM layout). Clover and OpenCore are bootloaders that inject these tables into the
EFI environment before handing off to macOS's `boot.efi`. Without them, macOS halts early with
a kernel panic or simply refuses to boot on non-Apple hardware signatures.
---
## 4. Bootloader choice — Clover vs OpenCore
### Clover (r5xxx)
- The original Hackintosh bootloader
- Loads from EFI partition; injects SMBios, AppleSMC, CPUID patches, kexts
- Mature ecosystem; many pre-made Sierra configs available
- Some quirks with NVRAM on OVMF; workaround: `EmuVariableUefi.efi` emulated NVRAM driver
- Active maintenance: [github.com/CloverHackyColor/CloverBootloader](https://github.com/CloverHackyColor/CloverBootloader)
### OpenCore (0.9+)
- Modern replacement for Clover; cleaner injection model
- Better NVRAM support with OVMF (uses `OpenVariableRuntimeDxe.efi` or OVMF's native NVRAM)
- Stricter config validation (`ocvalidate` catches errors before boot)
- Supports Sierra with minor adjustments (`MinVersion` quirks)
- Preferred for new setups
- Guide: [dortania.github.io/OpenCore-Install-Guide](https://dortania.github.io/OpenCore-Install-Guide/)
### Recommendation for XEN + OVMF
**OpenCore** is recommended for new installations with OVMF on XEN — it handles OVMF's emulated
NVRAM better than Clover and has active maintenance for recent XEN versions. Clover remains viable
if you already have a working Clover config from a KVM/QEMU Hackintosh.
**"CloverNG"** — if this refers to the next-generation CloverBootloader (post-r5100 series from
CloverHackyColor), it is functionally equivalent to standard Clover from a XEN perspective.
If it refers to OpenCore, use the OpenCore path below.
---
## 5. Tools and packages
### On a Linux workstation (or the XEN dom0 / a Linux VM)
```bash
# Debian/Ubuntu
apt install dmg2img qemu-utils p7zip-full
# Alpine
apk add dmg2img qemu-img p7zip
# macOS (if available — easiest for DMG handling)
# hdiutil is built in; no extra packages needed
```
| Tool | Purpose |
|------|---------|
| `dmg2img` | Convert Apple DMG to raw IMG on Linux |
| `qemu-img` | Create/convert virtual disk images (qcow2, raw) |
| `p7zip` / `7z` | Extract Clover or OpenCore zip archives |
| `hdiutil` | macOS native DMG tool (only if macOS workstation available) |
| `fdisk` / `gdisk` | Partition the installer image for EFI setup |
| `mtools` | Write files to FAT32 EFI partition without mounting as root |
---
## 6. Step 1 — Convert .dmg to raw image
The `.dmg` from Apple (or third-party Hackintosh sources) must be converted to a flat raw image
that XEN can use as a virtual disk.
### Option A — Linux with `dmg2img`
```bash
dmg2img -i "Install_macOS_Sierra_10.12.6.dmg" -o sierra_installer.img
# Output: sierra_installer.img (raw format)
```
If `dmg2img` fails (some DMG variants use encryption or non-standard compression):
```bash
# Try 7zip extraction first
7z x "Install_macOS_Sierra_10.12.6.dmg" -o./sierra_extracted/
# Look for .img, .hfs, or BaseSystem files inside
```
### Option B — macOS workstation with `hdiutil`
```bash
hdiutil convert "Install macOS Sierra.dmg" -format UDRW -o sierra_rw
mv sierra_rw.dmg sierra_installer.img
# UDRW = uncompressed read-write; directly usable as raw disk
```
### Verify the image
```bash
qemu-img info sierra_installer.img
# Should show: format=raw, virtual size ~5-8 GB for Sierra installer
file sierra_installer.img
# Should identify as: Apple disk image or DOS/GPT partition table
```
> **Note on EFI:** The user correctly identified that converting the DMG produces an EFI-based
> disk (GPT partition table with an EFI system partition). This is expected and correct for
> macOS Sierra. The installer image cannot be mounted as a simple CDROM/ISO — it must be
> presented as a virtual hard disk in HVM mode and booted via UEFI (OVMF). A traditional
> BIOS/MBR boot path does not exist for Sierra+.
---
## 7. Step 2 — Create a bootable macOS installer disk
The raw `.img` from step 6 may be the full `Install macOS Sierra.app` disk, or it may be a
recovery-only image. Determine which you have:
```bash
# Mount on Linux to inspect (requires HFS+ support):
apk add hfsprogs # or: apt install hfsprogs
mkdir /mnt/sierra_check
mount -t hfsplus -o ro sierra_installer.img /mnt/sierra_check
ls /mnt/sierra_check
# If you see "Install macOS Sierra.app" → full installer ✓
# If you see "BaseSystem.dmg" only → recovery image; need to extract BaseSystem
```
### If the image is a full installer (preferred)
Convert to qcow2 for efficient sparse storage:
```bash
qemu-img convert -f raw -O qcow2 sierra_installer.img sierra_installer.qcow2
```
This image becomes `hdb` (the installer disk) in the XEN config.
### If only BaseSystem.dmg is present (recovery path)
```bash
# Extract BaseSystem from the installer structure:
# On macOS:
cd /Applications/Install\ macOS\ Sierra.app/Contents/SharedSupport/
# Copy InstallESD.dmg and BaseSystem.dmg
# On Linux: extract from the converted DMG
7z x sierra_installer.img InstallESD.dmg
dmg2img InstallESD.dmg installesd.img
# Mount installesd.img and copy BaseSystem.dmg out
```
The recovery path produces a minimal boot environment sufficient to run the macOS installer,
but internet access or a local macOS packages cache may be needed.
---
## 8. Step 3 — Prepare the target installation disk
Create a blank virtual disk that macOS will install onto:
```bash
# 60 GB target disk (minimum 40 GB; 60 GB gives comfortable headroom)
qemu-img create -f qcow2 macos_sierra_target.qcow2 60G
```
This disk starts blank. macOS Disk Utility (during installation) will partition and format it
as GPT + HFS+.
---
## 9. Step 4 — Obtain and configure Clover or OpenCore EFI
### Option A — OpenCore (recommended)
Download the latest OpenCore release from:
[github.com/acidanthera/OpenCorePkg/releases](https://github.com/acidanthera/OpenCorePkg/releases)
```bash
mkdir opencore_efi && cd opencore_efi
wget https://github.com/acidanthera/OpenCorePkg/releases/download/0.9.x/OpenCore-0.9.x-RELEASE.zip
unzip OpenCore-0.9.x-RELEASE.zip
```
**Minimum EFI structure for Sierra on XEN/QEMU:**
```
EFI/
BOOT/
BOOTx64.efi ← OpenCore main loader
OC/
OpenCore.efi
config.plist ← main configuration
ACPI/ ← DSDT/SSDT patches (may be empty for VM)
Drivers/
OpenRuntime.efi ← required
ResetNvramEntry.efi
Kexts/
Lilu.kext ← required base
VirtualSMC.kext ← AppleSMC emulation (replaces hardware SMC)
WhateverGreen.kext ← GPU fixes (optional for headless)
IntelMausi.kext ← for e1000 NIC (or use AppleIGB)
Tools/
OpenShell.efi ← useful for debugging
```
**Key `config.plist` settings for XEN:**
```xml
<!-- Kernel → Quirks -->
<key>DisableIoMapper</key><true/>
<key>XhciPortLimit</key><true/>
<!-- Misc → Security -->
<key>ScanPolicy</key><integer>0</integer>
<!-- NVRAM → Add → 7C436110-... -->
<key>boot-args</key>
<string>-v keepsyms=1 debug=0x100</string> <!-- verbose boot for debugging -->
<!-- PlatformInfo → Generic -->
<!-- Use MacPro6,1 or iMac17,1 SMBIOS for Sierra compatibility -->
<key>SystemProductName</key><string>iMac17,1</string>
```
Generate `MLB`, `ROM`, `SystemSerialNumber`, `SystemUUID` using `macserial` (from OpenCore tools)
or GenSMBIOS. Use random/generated values — do not reuse real Apple serial numbers.
### Option B — Clover (r5xxx)
Download from:
[github.com/CloverHackyColor/CloverBootloader/releases](https://github.com/CloverHackyColor/CloverBootloader/releases)
**Minimum EFI structure:**
```
EFI/
BOOT/
BOOTX64.efi
CLOVER/
CLOVERX64.efi
config.plist
drivers/
UEFI/
ApfsDriverLoader.efi ← for APFS if upgrading later
AptioMemoryFix.efi ← NVRAM fix for OVMF
EmuVariableUefi.efi ← emulated NVRAM (important for XEN/OVMF)
FSInject.efi
HFSPlus.efi ← HFS+ filesystem driver
kexts/
Other/
Lilu.kext
VirtualSMC.kext ← or FakeSMC.kext (older alternative)
IntelMausi.kext
```
**Key `config.plist` settings for XEN/OVMF:**
```xml
<key>RtVariables</key>
<dict>
<key>LogEveryBoot</key><string>10</string>
<key>MountEFI</key><string>Yes</string>
</dict>
<key>SMBIOS</key>
<dict>
<key>ProductName</key><string>iMac17,1</string>
<!-- Generate BoardSerialNumber, SerialNumber, SmUUID with Clover Configurator -->
</dict>
<!-- Boot → Arguments -->
<key>Arguments</key><string>-v dart=0 debug=0x100 keepsyms=1</string>
```
### Embed EFI into installer disk
The Clover/OC EFI files need to be on the **EFI system partition (ESP)** of the installer disk
or on a separate small EFI disk image.
**Recommended: separate EFI disk (simplest for XEN)**
```bash
# Create a small FAT32 EFI disk
dd if=/dev/zero of=efi_boot.img bs=1M count=200
parted efi_boot.img mklabel gpt
parted efi_boot.img mkpart EFI fat32 1MiB 199MiB
parted efi_boot.img set 1 esp on
# Format the FAT32 partition (offset 1MiB = sector 2048)
mkfs.fat -F32 -n EFI \
--offset 2048 \ # 1MiB in 512-byte sectors
efi_boot.img # note: loopback mount preferred
# Mount and copy EFI files
losetup -P /dev/loop0 efi_boot.img
mkfs.fat -F32 /dev/loop0p1
mount /dev/loop0p1 /mnt/efi
cp -r EFI/ /mnt/efi/
umount /mnt/efi
losetup -d /dev/loop0
```
This `efi_boot.img` becomes `hdc` (or `hda` — first boot device) in the XEN config.
---
## 10. Step 5 — XEN HVM domain configuration
Create `/etc/xen/macos-sierra.cfg`:
```python
# macOS Sierra 10.12 — XEN HVM config
# REQUIRES HVM HOST CAPABILITY (Intel VT-x)
type = "hvm"
name = "macos-sierra"
memory = 4096 # 4 GB minimum; 8 GB recommended
vcpus = 2
maxvcpus= 2
firmware = "ovmf" # UEFI; critical — do NOT use "bios"
# Disk layout:
# hda = EFI bootloader disk (boots first via OVMF)
# hdb = macOS installer image (from §7)
# hdc = blank target disk (from §8)
disk = [
'file:/path/to/efi_boot.img,hda,w',
'file:/path/to/sierra_installer.qcow2,hdb,r',
'file:/path/to/macos_sierra_target.qcow2,hdc,w',
]
# Network: e1000 emulates Intel 82540EM — supported by macOS Intel kext
vif = ['type=ioemu,model=e1000']
# USB tablet for mouse (avoids mouse capture issues in VNC)
usbdevice = 'tablet'
# VNC console (required for visual install)
vnc = 1
vnclisten = "127.0.0.1"
vncpasswd = ""
vncunused = 1 # picks next free port starting at 5900
# Serial console (helpful for kernel panic debug)
serial = "pty"
# QEMU extra device args (AppleSMC + display)
device_model_args = [
# AppleSMC — macOS kernel checks for this device; OSK must be set (see §11)
"-device", "applesmc,osk=<REPLACE_WITH_OSK>",
# Cirrus VGA (simplest; QXL or VirtIO may not work during macOS install)
"-vga", "cirrus",
# Sound (optional; macOS may probe for it)
"-device", "ich9-intel-hda",
"-device", "hda-duplex",
]
# CPUID masking — hide hypervisor bit from macOS (see §12)
cpuid = [
"0x80000001:ecx=xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx0",
]
```
> **On `firmware = "ovmf"`:** XEN must have the OVMF binary available. The path is typically
> `/usr/share/ovmf/OVMF.fd` or `/usr/share/qemu/OVMF.fd`. If XEN doesn't find it, it falls back
> to the legacy BIOS hvmloader — check with Anton that OVMF is installed on the host.
---
## 11. Step 6 — AppleSMC and the OSK key
The Apple System Management Controller (SMC) is a coprocessor present in all Apple hardware.
macOS checks for its presence during boot. QEMU (used as XEN's HVM device model) can emulate
an SMC with:
```
-device applesmc,osk=<128-char-hex-string>
```
The OSK (Output Signal Key) is a 64-byte string specific to Apple hardware. It is technically
part of Apple's proprietary firmware but is widely documented in the Hackintosh community.
**How to obtain the OSK:**
- From a physical Mac: run an AppleSMC reader tool (e.g. `smcutil`)
- From the Hackintosh community: the OSK for common boards is documented; search for
"QEMU macOS applesmc osk" — the value is the same across all OSK-based macOS versions
- The OSK is 64 bytes (128 hex characters) passed to `-device applesmc,osk=...`
> **Do not confuse** the OSK with Apple serial numbers. The OSK is a fixed hardware key, not
> a device identifier. It does not uniquely identify a machine.
**VirtualSMC vs hardware applesmc:**
If using OpenCore with `VirtualSMC.kext`, the kext handles SMC emulation in software and
the `applesmc` QEMU device may not be strictly required. However, including both is safe
and the hardware device takes precedence. For Clover with `FakeSMC.kext`, the kext similarly
provides SMC emulation.
---
## 12. Step 7 — CPUID masking
macOS detects hypervisors via the `HYPERVISOR` CPUID bit and may behave differently or refuse
to boot. Additionally, XEN presents XEN-specific CPU topology that can confuse macOS.
**Mask the hypervisor bit (XL config):**
```python
# Hide bit 31 of CPUID leaf 0x80000001 ECX (hypervisor presence)
cpuid = [
"0x80000001:ecx=xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx0",
]
```
**Set a clean CPU vendor string (optional but recommended):**
```python
# Present as plain Intel, not XEN-modified
device_model_args = [
...,
"-cpu", "host,vendor=GenuineIntel,+sse4.1,+sse4.2,-hypervisor,kvm=off",
]
```
**CPU topology (macOS prefers 1 socket × N cores):**
```python
# In XL config
vcpus = 2
cores_per_socket = 2
threads_per_core = 1
# Results in: 1 socket, 2 cores, 1 thread → macOS shows "2-Core Intel Core i7"
```
`-hypervisor` removes the CPUID hypervisor bit at the QEMU level; the XL `cpuid` directive
masks it at the XEN level. Apply both for robustness.
---
## 13. Step 8 — Run the installer
### Start the VM
```bash
xl create /etc/xen/macos-sierra.cfg
# Check it started:
xl list
# Connect to VNC console:
# Port = 5900 + vnc display number (check xl list or /var/log/xen/)
vncviewer 127.0.0.1:5900
```
### Boot sequence
1. OVMF loads → shows TianoCore logo briefly
2. OVMF detects the EFI partition on `hda` → loads `BOOTx64.efi` (Clover or OC)
3. Bootloader screen appears — select "Install macOS Sierra" or "Boot macOS Install from ..."
4. macOS boot sequence (verbose if `-v` set) — expect ~5–10 minutes for kernel load on first boot
5. macOS installer GUI appears (language selection)
### Installation steps
1. **Language selection** → proceed
2. **Disk Utility** → select `hdc` (target, ~60 GB) → Erase → Format: **Mac OS Extended (Journaled)**, scheme: **GUID Partition Map** → name it (e.g. "Macintosh HD")
3. Back to installer → Install macOS → select "Macintosh HD"
4. Installation runs (~30–60 min); VM will restart several times automatically — each time it should boot back to the installer progress screen
5. Final restart → macOS Setup Assistant (user account, locale, etc.)
> **If the VM reboots but boots the installer again** instead of the installed disk: the EFI boot
> order has not changed. In the bootloader menu, manually select the installed disk. After install
> completes, update the bootloader config to default-boot the target disk.
---
## 14. Step 9 — Post-install: Clover/OC on target disk
After installation, the target disk (`hdc`) has macOS installed but no bootloader. Move the EFI
setup to the target disk so it boots independently.
### Mount the EFI partition of the target disk
```bash
# On Linux with the VM shut down:
losetup -P /dev/loop1 macos_sierra_target.qcow2 # may need qemu-nbd for qcow2
# or: qemu-nbd --connect=/dev/nbd0 macos_sierra_target.qcow2
mount /dev/loop1p1 /mnt/target_efi # p1 = EFI partition
```
### Copy the EFI bootloader
```bash
cp -r /mnt/efi/EFI/ /mnt/target_efi/
umount /mnt/target_efi
```
### Update XL config to boot from target disk only
```python
# Final production config — no installer disk needed
disk = [
'file:/path/to/macos_sierra_target.qcow2,hda,w',
]
```
OVMF will now boot from the EFI partition on the target disk → Clover/OC → macOS Sierra.
---
## 15. Networking in the guest
XEN HVM with `model=e1000` emulates the Intel 82540EM NIC. macOS Sierra includes built-in
drivers for this chipset (`AppleIntelE1000e.kext` or loaded via `IntelMausi.kext`).
**Expected:** Ethernet appears automatically in System Preferences → Network after install.
**DHCP:** Works out of the box if the XEN virtual network bridge provides DHCP (standard
XEN networking with `xenbr0` and the host running dnsmasq).
**Static IP:** Set in macOS Network preferences if needed.
**No internet to iCloud/App Store:** macOS will detect non-Apple hardware signatures (unless
correct SMBIOS + serial number is configured) and refuse App Store login. For pure testing
purposes, network access to local services and `apps.f0xx.org` should work fine without this.
---
## 16. Known issues and limitations
| Issue | Cause | Workaround / Status |
|-------|-------|---------------------|
| No GPU acceleration | Cirrus VGA is 2D only; Metal requires real GPU or PCIe passthrough | Use headless or accept software rendering; Cirrus sufficient for testing |
| Kernel panic on boot | Missing SMC, bad CPUID, wrong SMBIOS | Check §11–§12; add `-v` to boot args for verbose panic |
| NVRAM not persisting | OVMF emulated NVRAM resets on shutdown | Use `EmuVariableUefi.efi` (Clover) or `OpenVariableRuntimeDxe.efi` (OC); or save NVRAM to file |
| USB mouse/keyboard lost | USB tablet works but real USB may need passthrough | `usbdevice = 'tablet'` in XL config handles mouse; keyboard via VNC |
| macOS updates may break boot | OTA updates overwrite `boot.efi` and may change kext requirements | Snapshot before updating; keep bootloader kexts updated |
| iCloud / App Store blocked | Missing/wrong Apple serial; Apple server check | Expected for VM use; not needed for testing/dev purposes |
| Very slow boot (> 15 min) | QEMU Cirrus VGA rendering overhead; slow disk emulation | Use `qcow2` with preallocation or raw disk; increase memory |
| Stuck at "2 minutes remaining" | Common Sierra installer bug | Wait; may take 15+ min; do not power off |
| HVM slot unavailability | Anton's XEN host may limit HVM guest count | Coordinate with Anton; confirm `xl info | grep hvm` shows `hvm=1` |
| Sound/audio | ICH9-HDA device available but macOS may not auto-configure | Install `VoodooHDA.kext` if audio needed |
---
## 17. Troubleshooting
### VM fails to start
```bash
xl create -c /etc/xen/macos-sierra.cfg
# -c attaches console immediately; shows QEMU startup errors
```
Check: does `xl info | grep hvm` show `hvm=1`? If not, VT-x is not available or enabled.
### Bootloader screen never appears (OVMF logo then black)
- OVMF did not find a bootable EFI on `hda`
- Verify: `efi_boot.img` has a valid GPT ESP partition with `EFI/BOOT/BOOTx64.efi`
- In OVMF shell (press `F2` or `Esc` during TianoCore logo): run `Shell → fs0: → dir EFI`
### macOS installer kernel panic immediately
- Check AppleSMC OSK is set correctly (non-empty, correct length)
- Add `-v -x` (verbose + safe mode) to boot args
- Check CPUID masking (§12) — remove it and try without; then add back
### Installer runs but network is unavailable
- Verify XEN `vif` is correct and `xenbr0` is up on host: `ip link show xenbr0`
- Check macOS System Preferences → Network for the Ethernet adapter
- Install `IntelMausi.kext` if the NIC is not recognized
### VM reboots after install but shows installer again
- OVMF boot order still prefers `hda` (EFI boot disk) over the installed `hdc`
- In bootloader menu: manually select the installed macOS disk
- After booting successfully once: update bootloader config default entry
---
## 18. Comparison: Clover vs OpenCore for XEN
| Aspect | Clover (r5xxx) | OpenCore (0.9+) |
|--------|---------------|----------------|
| NVRAM on OVMF | Requires `EmuVariableUefi.efi` | Native OVMF NVRAM support; more reliable |
| Sierra support | Excellent; many Sierra configs available | Good; needs `MinVersion`/`MaxVersion` quirks |
| QEMU/XEN compatibility | Mature; known-good with QEMU 5+ | Excellent; actively tested on QEMU/KVM/XEN |
| Config validation | Manual; errors only visible at boot | `ocvalidate` CLI tool catches errors before boot |
| Kext injection | Flexible; some ordering quirks | Strict ordering; predictable |
| Long-term maintenance | Slower; fewer active contributors | Active; new releases regularly |
| Community resources for XEN | Fewer specific guides | Growing; Docker-OSX project uses OC on KVM (close to XEN) |
| Recommended for new install | Only if migrating existing config | **Yes** |
---
## 19. References
| Resource | URL / note |
|----------|-----------|
| OpenCore Install Guide | https://dortania.github.io/OpenCore-Install-Guide/ |
| OpenCore Legacy Patcher | https://dortania.github.io/OpenCore-Legacy-Patcher/ (Sierra section) |
| CloverBootloader releases | https://github.com/CloverHackyColor/CloverBootloader |
| Docker-OSX (KVM/QEMU reference) | https://github.com/sickcodes/Docker-OSX — useful architecture reference even for XEN |
| VirtualSMC kext | https://github.com/acidanthera/VirtualSMC |
| Lilu kext | https://github.com/acidanthera/Lilu |
| IntelMausi NIC kext | https://github.com/acidanthera/IntelMausi |
| QEMU applesmc documentation | `man qemu-system-x86_64`; search `-device applesmc` |
| XEN HVM OVMF setup | https://wiki.xenproject.org/wiki/OVMF |
| GenSMBIOS (serial generation) | https://github.com/corpnewt/GenSMBIOS |
---
## 20. Changelog
| Rev | Date | Change |
|-----|------|--------|
| R0 | 2026-06-26 | Initial guide — HVM+OVMF+OpenCore path; Clover alternative; known issues |

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/Filter [ /ASCII85Decode /FlateDecode ] /Length 3215
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/Filter [ /ASCII85Decode /FlateDecode ] /Length 2769
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/Filter [ /ASCII85Decode /FlateDecode ] /Length 2351
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/Filter [ /ASCII85Decode /FlateDecode ] /Length 2982
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/Filter [ /ASCII85Decode /FlateDecode ] /Length 3889
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/Filter [ /ASCII85Decode /FlateDecode ] /Length 3670
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_pdf_build/build_all_docs_pdf.py
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@@ -7,12 +7,10 @@ import sys
from pathlib import Path
_BUILD_DIR = Path(__file__).resolve().parent
if (_BUILD_DIR.parent / "docs").is_dir():
ROOT = _BUILD_DIR.parent
DOCS = ROOT / "docs"
else:
ROOT = _BUILD_DIR.parent
DOCS = ROOT
ROOT = _BUILD_DIR.parent
# Always scan from ROOT so that DRs/, specs/, and root-level .md files are included.
# (The old "docs/" sub-scope logic is intentionally removed — ac-docs IS the docs repo.)
DOCS = ROOT
sys.path.insert(0, str(_BUILD_DIR))
from md_to_pdf import build_pdf_from_markdown # noqa: E402
@@ -24,7 +22,10 @@ SUBTITLE_BY_REL = {
"DRs/20100612_1_scaling.md": "Platform scaling — DR (architecture, bandwidth, GEO policy, task graph)",
"DRs/20260618_repos_reorganizing.md": "Repository & microservice split — frozen DR R1.1",
"specs/20260618_repos_reorganizing.md": "Repository & microservice split — SPEC R1 (normative)",
"DRs/20260626_cluster_monitoring.md": "Infrastructure health monitoring — frozen DR R0",
"specs/20260626_cluster_monitoring.md": "Infrastructure health monitoring — SPEC R0 (normative)",
"20260620_postgres_timescale_db_platform.md": "PostgreSQL, TimescaleDB, platform DB adapters — advisory",
"Installing_MacOS_Sierra_10.12_as_XEN_guest.md": "Installing macOS Sierra 10.12 as a XEN HVM guest (Clover / OpenCore)",
}

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321
drafts/20260626_cluster_monitoring.txt
View File

@@ -1,7 +1,8 @@
Infrastructure health monitoring draft
milestone: R0-pre
severity: high
state: draft (annotated — see [AGENT NOTE] blocks; please review before DR/SPEC conversion)
state: closed — DR/SPEC generated; see DRs/20260626_cluster_monitoring.md + specs/20260626_cluster_monitoring.md
Track B (orchestration) → drafts/20260626_cluster_orchestration.txt
author: Anton Afanasyeu
date: 2026-06-26
related to: 20260618_repos_reorganizing*, microservice split, clustered CI/CD
@@ -28,95 +29,29 @@ sometimes it may be very complex, for example
|-------------------[ VM A master db node ]----X----
|---------[ VM B replica db node ]---|
with such a floating architecture, especially if we gonna use on-demand cluster scaling, there's very hard to perform manual watch of each service or node. even though, good to have a kind of smart hypervisor over all our microservices and cluster nodes that will make a decision what to do next in case, for example:
- the microservice X experiences high CPU load, needs to ask CPU load balancer to allocate quickly another node Y and redirect a part of microservice's X requests to new node Y
- the microservice X stays untouched for a last Y hours and the cluster's overall load is less than 75% during this time - hypervisor makes a decision to stop redundant instance, simply to save money
- the network pressure is superbly high - investigate why, if there's hackers DDoS attack - perform set of actions for DDoS protection, if there's simply spike because a lots of users(customers) - do actions to increase cluster size and bandwidth, etc.
- the data storage Y flied away because of HW damage - allocate the replica of storage Y and put it instead of broken one to the cluster
etc.
[AGENT NOTE — auto-remediation scope:
Everything above (auto-scale, auto-DDoS-protect, auto-failover storage) is NOT monitoring — it is
automated orchestration / cluster self-healing. These are valuable long-term goals but they are an
entirely separate and much larger engineering track (think: Kubernetes operators, custom controllers,
Ansible event-driven, or a home-grown orchestration plane). Mixing them into the monitoring spec
risks scope-creep and may block the R0 delivery.
SUGGESTION: Split into two tracks explicitly in the SPEC:
Track A (this SPEC, R0): passive monitoring + alerting — observe, record, notify
Track B (future, R1+): active remediation — orchestration reacts to monitoring events
The DR should decide whether "smart hypervisor" is a Track B placeholder or in-scope for R0.
My recommendation: Track B placeholder — list the scenarios as "desired future automation" but
do not design them in the monitoring SPEC.]
[Anton's answer: agree with suggestion. please help me to organize Track B as a separate draft document as you see it; make sure it would be referenced in Track A like a next-gen step of supervising over the infra, clean up everything from exactly this draft that refers to Track B, so we'll expect Track B will not be forgotten]
[TRACK B — auto-remediation and auto-scaling scenarios moved to drafts/20260626_cluster_orchestration.txt]
Basically, the most important set of monitored events may be:
- hardware health monitoring
-- node / microservice availability
-- ... TBD
[AGENT NOTE — hardware monitoring gaps worth filling in TBD:
Standard items for Xen/KVM VM nodes (project already runs XEN HVM/paravirt):
-- CPU: utilization %, steal time (critical for Xen — if hypervisor steals CPU, steal > 10% is a red flag)
-- RAM: used / available / swap usage
-- Disk: utilization %, IOPS, write latency (key for MariaDB nodes), disk SMART via smartmontools
-- NIC: ingress/egress bytes/sec, packet drops, errors
-- Load average (1m/5m/15m)
-- Xen-specific: dom0 balloon driver state, vcpu credit scheduler stats
Suggest confirming which of these you want in SPEC §3 (requirements table).]
[Anton's answer: you have clearer vision on that rather than me, i'm not a devops, please help to reconstruct/organize the doc that way, i can just confirm that again your suggestion is more structured; i would say it's better to keep an eye over all of the metrics, but up to you there]
-- CPU: utilization %, steal time (Xen-critical), load average 1m/5m/15m
-- RAM: used / available / swap usage
-- Disk: utilization %, IOPS, write latency, SMART health
-- NIC: ingress/egress bytes/sec, packet drops, errors
-- Xen guest: vcpu steal, balloon driver state
- software health monitoring
-- node / microservice availability
-- the reason
--- scale needed
--- unsuccessful configuration
--- software not getting up
--- out of resources
-- ... TBD
[AGENT NOTE — software monitoring gaps worth filling:
Standard per-service items:
-- HTTP health endpoint response time + status code (blackbox probe, e.g. /health or /ping)
-- Process presence check (is nginx/php-fpm/mariadb PID alive?)
-- Log error rate (ERROR/CRITICAL lines per minute from syslog/journald)
-- MariaDB: replication lag (seconds_behind_master), connection count, slow query count
-- nginx: 5xx rate, upstream connection errors
-- php-fpm: queue depth, worker saturation
These map naturally to exporters (see tool section note below).]
[Anton's answer: agreed]
-- node / microservice availability (process presence + HTTP health probe)
-- HTTP response time and status code per service endpoint
-- log error rate (ERROR/CRITICAL lines per minute, syslog/journald)
-- MariaDB: replication lag (seconds_behind_master), connection count, slow query count
-- nginx: 5xx rate, upstream connection errors
-- php-fpm: queue depth, worker saturation
-- cause classification: scale needed / bad config / process crash / OOM
- provider's fault
-- hardware or software
-- service absense
-- payment expired
-- ... TBD
[AGENT NOTE — provider fault detection:
This category requires EXTERNAL monitoring — probes from outside your network to verify
that apps.f0xx.org is reachable from the public internet. Internal monitoring is blind to:
- Anton's router/uplink going down
- XEN host hardware failure (the VM's own monitoring dies with it)
- BGP/routing issues upstream
Options for external check:
a) UptimeRobot / Freshping / BetterUptime free tier (simple HTTP check from cloud)
b) Self-hosted Uptime Kuma on a VPS outside this network (cheapest independent probe)
c) Blackbox Exporter + Prometheus alerting IF the Prometheus instance is outside the cluster
"Payment expired" can't really be auto-detected; it's an ops reminder / calendar alert.
Suggest clarifying in SPEC: external uptime check is REQUIRED for provider-fault detection,
and it must live OUTSIDE the monitored cluster.]
[Anton's answer: unfortunately there are some sw limits that may probably being a soft-blockers, for example (using current architecture):
- we cannot deeply change the set of software on the router
- we cannot change the software on FE side as well
- we can rely and fully operate only with cluster/nodes
future, renting the true cloud infrastructure, AWS, GClouds, Azure, etc.:
- also some risks/limitations on changing top-level software because owned by cloud provider
- but probably it's a kind of 'hackable', don't know - newer rented foreign cloud infra before
think about it
]
- ... TBD
-- Xen host / uplink availability detected via external probe (UptimeRobot, no install)
-- internal: cast04 blackbox_exporter checks FE endpoint from inside cluster
-- software/service absence, payment expiry: ops calendar + manual review (not auto-detectable)
a simple example, using the current lab infrastructure:
[global net x.x.x.x] <-> [(134.17.26.161 external IP) router (debian-based] (internal IP 10.7.6.228) ] <-> [(10.7.0.10 intra network 1) FE (intra network 2: 10.7.0.0/8)] [intra network 3: ...]
@@ -127,178 +62,60 @@ the owner of top-level services is Anton Afanasyeu. top level services include:
- basic on-demand OS installation, on-demand VM snapshots
----------- all up is SaaS, for all the questions contact owner ---------
-- cluster of VM's, XEN-based (hvm or paravirt, depends)
-- cluster of VM's, XEN-based (paravirt, Alpine latest LTS)
-- VM's control, VM's internal software installation, access, aggregation, fine tunings, software development, ssh, internal setups, etc.
----------- the last few lines are totally controllable by developer, developed product owner and projects workers as decided by product owner ---------
the VM delegated cluster owner must set its own monitoring software where it needs to be placed and monitor all the parameters he decided to keep an eye on, like:
1) hardware resources load, per cluster node and overall in-cluster, comparing the max. values delegated by Anton Afanasyeu according to payment fee for the cluster; like Anton guarantees that CPU will be real (not emulated) and it will be Intel 8 cores of Gold 5218 CPU @ 2.30GHz series, 8Gb of RAM per node, 32Gb of non-shared disk space per node, 3 nodes in cluster, 200Mbit in/out internet, etc; the project owner should have monitoring based of the extremum of each of parameters, compare with proposed plan, alert of some of values differ than what Anton guaranteed
2) project owner took 3 nodes / cluster; after month of heavy load one of the nodes show instabilities and slow data writes using distributed among the nodes MariaDb; MariaDb monitoring show exactly that Node B contains the replica of master db node and it's possible that there's a hardware fault (disk writes), so he should notify Anton to take it into account and provide spare node
3) slow egress/ingress -> delegate to Anton
4) one of project services or its relatives aren't responding well - there should be per-service self monitoring and should raise an alert if so
[AGENT NOTE — monitoring placement (unanswered design question):
The draft does not address where the monitoring stack itself lives. This is a key SPEC decision:
Option A: Dedicated monitoring VM (4th node, outside the 3-node cluster)
+ monitoring survives a cluster node failure
- costs an extra VM
Option B: On one of the 3 existing cluster nodes (e.g. the "ops" node)
- if that node fails, monitoring goes dark — worst case: you're blind exactly when you need it
+ no extra cost
Option C: On Anton's infra (outside delegated cluster entirely)
+ most resilient for node-level failure detection
- requires coordination with Anton; may not be acceptable for project-owner autonomy
Option D: Lightweight agents on each node, reporting to a cloud-hosted aggregator (e.g. Grafana Cloud
free tier, or any external SaaS)
+ zero infra overhead; survives full cluster outage
- data leaves your network
SUGGESTION: Decide and lock in SPEC §2 (topology). My recommendation: Option A or D depending
on budget constraints. Option B is acceptable for lab/pre-alpha only.]
[Anton's answer:
Option A: currently doable, having full control over hypervised VMs; dedicated machine isn't something that can block us
Option B: likely the chosed one for now, once we on Anton's provided resources but a bit limited on their capacity; thinking about A and B what to choose
Option C: good, but no. prefer to keep everything together until going to real clouds
Option D: good about lightweight agents, but don't want to track the data somewhere outside; prefer to keep everything single-hosted
MONITORING PLACEMENT DECISION: Option A — cast04 (dedicated 4th Alpine VM, monitoring-only node).
Monitoring stack lives on cast04, isolated from the 3 workload nodes cast01/cast02/cast03.
Router and FE are config-only (no new software); monitoring uses cluster-internal network only.
Now i think option A is the best from robust and future knowledge, although, probably, the hardest in implementation. if another Alpine instance (cast04 as 4th node) will take care of monitoring, I'm fine with option A
]
The how:
the actor (any of) may be triggered on faulty node, cluster, service, ..., state, first off, by email. any other services are also likely to have (messengers, SMS, etc.), but anyway we should integrate some monitoring visualizer(s):
1) Visualization of the whole infrastructure
2) Visualization per cluster and per Node health
3) Visualization per service provided by distro used inside the each Node
4) Visualization per service of project's software inside the each Node
based on the requirements, a few almost-ready solutions touch the souls:
1. Grafana (Kibana)
[AGENT NOTE — Grafana ≠ Kibana — FACTUAL CORRECTION:
These are two completely different products from different companies and stacks:
- Grafana (grafana.com): standalone visualization layer; plugs into Prometheus, InfluxDB,
Loki, TimescaleDB/PostgreSQL, etc. Self-hosted or Grafana Cloud.
- Kibana: the "K" in the ELK stack (Elasticsearch + Logstash + Kibana). Primarily a log
analysis/search UI over Elasticsearch indices. NOT typically used for infra metrics.
The project already has a Grafana pivot analysis doc: GRAFANA_vs_others_graphvis_pivot.md.
They should be listed and evaluated separately. My suggestion: drop Kibana from this section
(ELK is heavy and log-centric, not the primary choice for VM metrics), or add it as a separate
option specifically for centralized log aggregation (not metrics dashboards).]
[Anton's answer: ok, let's exclude Kibana at all from our goals/perspectives]
1.1 Pros: the most beautiful and user-friendly; pretty easy to play with pre-stored parameters, building customized graphics; may be self-hosted; may reflect anything you want, but the administrator's eye is required on it, at least on the first steps
1.2 Cons: requires additional software, like Prometheus (the most commonly used) or maybe other time-series based engine; so flexible that it is sometimes unbelievably hard to create pre-stored parameters set to visualize it later; requires also additional data converters/plugins, Prometheus-friendly
[AGENT NOTE — Prometheus deserves its own section:
Prometheus is the core of the recommended stack for VM cluster monitoring and should be called
out explicitly, not just as a "Grafana requirement". The stack is:
Prometheus (time-series DB + scraper) + node_exporter (per VM hardware metrics)
+ blackbox_exporter (HTTP/TCP service probes) + Alertmanager (routing alerts to email/Slack/etc.)
+ Grafana (dashboards on top)
Each component is independently useful and has a clear role. Ready-made "community dashboards"
exist in Grafana for node_exporter (dashboard ID 1860 — "Node Exporter Full") and MariaDB.
Also worth mentioning: VictoriaMetrics as a drop-in Prometheus-compatible TSDB — uses 5-10x
less RAM/disk, easier to run on a small cluster, retains data longer by default. If the cluster
nodes are small (8GB RAM per node), VictoriaMetrics may be preferable to Prometheus itself.
Relationship to existing project TimescaleDB platform: Prometheus/VictoriaMetrics is for INFRA
metrics (CPU/RAM/disk/latency). TimescaleDB is proposed for APPLICATION/BUSINESS metrics
(crash rates, session counts, graph analytics). These can coexist — different stores, different
retention, different queries. Grafana queries both. Clarify this split in the SPEC.]
[Anton's answer: good to know,i just want you again to re-read the soft limitations i've described above; pressure is that we cannot somehow install new software neither on router nor on FE unfortunately; if there's no need, then just OK; if need is not intended as mandatory - also ok, we just lose some of metrics, which is currently fine)
2. Zabbix
2.1 Pros: good UI/UX, pretty easy to deploy; good support, good abilities;
2.2 Cons: not as good as Grafana+... from the UI/UX perspective
2.3 Need to check the licensing
[AGENT NOTE — Zabbix licensing:
Zabbix Community Edition is GPL v2 licensed — free for any use. No commercial license needed
for self-hosted monitoring of your own infrastructure. The Zabbix Agent on monitored nodes is
also LGPL. This concern is resolved; not a blocker.
Zabbix is a "batteries included" solution — agent + server + DB + UI in one package, which is
its main practical advantage over Prometheus+Grafana. Easier initial setup, built-in alerting,
no separate Alertmanager. Downside: more opinionated, harder to integrate with custom app metrics
vs Prometheus's pull model.]
3. Nagios
3.1 Pros: the most probably known and loved by many administrators, can capture any data, lightweight;
3.2 Cons: i don't know nothing about data visualization, may be Nagios is just data collector and visualization being made by for example Grafana? disadvantage also in that this is very complex solution, hard to tune, hard to maintain
[AGENT NOTE — Nagios clarification:
Nagios Core does have its own built-in web UI (CGI-based, classic green/red status board), but it
is very basic — good for status/alerting, poor for time-series graphs.
Nagios is NOT a time-series data collector — it is a status/alert engine (checks return OK/WARNING/
CRITICAL states). For historical graphs, Nagios is typically paired with PNP4Nagios or Graphite, NOT
Prometheus/Grafana directly (though adapters exist).
Modern consensus: Nagios has been largely superseded by Prometheus+Alertmanager for metrics-based
monitoring. Nagios Core is still used for pure availability checks (is the host/port up?) but the
ecosystem has moved on. Suggest downgrading this option to "legacy/not recommended for new setups".
Nagios XI (commercial) is polished but not free.
If lightweight availability-only checks are needed, Uptime Kuma is a modern self-hosted alternative
to Nagios with a much better UI and zero configuration overhead.]
4. ... TBD, any suggestions
[AGENT NOTE — additional options worth considering:
4. Prometheus + Grafana (recommended for this cluster, see notes above)
- node_exporter: CPU/RAM/disk/NIC per VM
- blackbox_exporter: HTTP/TCP service health probes
- mysqld_exporter: MariaDB replication lag, slow queries, connections
- Alertmanager: route alerts to email + Telegram/Slack
- Grafana: dashboards (community templates available for all the above)
- VictoriaMetrics (optional): replace Prometheus TSDB for lower resource use on 8GB nodes
5. Netdata (https://netdata.cloud)
- Installs as a single agent per node (apt/apk/bash one-liner)
- Gives real-time per-node dashboard out of the box — zero configuration for hardware metrics
- Can stream to a central Netdata parent node
- Netdata Cloud (free tier) aggregates cross-node view without self-hosting a central stack
- Useful for quick bootstrapping before a full Prometheus stack is deployed
- License: GPL v3
6. Uptime Kuma (https://github.com/louislam/uptime-kuma)
- Lightweight self-hosted service uptime monitor (HTTP/TCP/DNS/ping checks)
- Very easy to deploy (Docker single container)
- Covers "is service X responding?" with beautiful status page
- Good complement to Prometheus (Prometheus = deep metrics, Uptime Kuma = simple uptime)
- License: MIT
7. ELK / OpenSearch (for logs, not metrics)
- Elasticsearch + Logstash/Fluent Bit + Kibana/OpenSearch Dashboards
- Best for centralized log aggregation and search (nginx access logs, php-fpm error logs, syslog)
- Heavy (needs 4+ GB RAM for Elasticsearch alone) — probably overkill for current lab
- Grafana Loki is a lighter alternative for log aggregation that integrates natively with Grafana]
[Anton's answer: cool, I like everything proposed there]
5. Mixed (hybrid), like Grafana + Zabbix
... TBD
[AGENT NOTE — hybrid recommendation:
Based on the project's existing infra (Alpine VMs, MariaDB, nginx, PHP-FPM, Xen, 8GB RAM/node)
and what's already discussed in GRAFANA_vs_others_graphvis_pivot.md, my suggestion for SPEC:
RECOMMENDED STACK (R0):
Infra layer: Prometheus (or VictoriaMetrics) + node_exporter on each VM
+ blackbox_exporter for HTTP/TCP probes
+ mysqld_exporter for MariaDB
+ Alertmanager → email (required) + Telegram bot (optional)
Dashboard: Grafana (community dashboards for node_exporter + MariaDB)
Uptime: Uptime Kuma on a separate lightweight VM or the FE (external to cluster)
Deployment: ac-deploy (new monitoring/ role in cluster0 scripts)
FUTURE (R1):
Log aggregation: Grafana Loki + Promtail (lighter than ELK)
Auto-remediation: custom event handler scripts triggered by Alertmanager webhooks
Business metrics: Grafana queries TimescaleDB (already in project plan)
OPEN QUESTION FOR PO: Should the monitoring stack get its own VM node (4th node), or run
on one of the 3 cluster nodes (and which one)? This affects DR decision §2.]
[Anton's answer: good, so we agreed on most of the points there, i also concluded this combination as the better one for myself. I think I've addressed almost all the questions. the Q from my side:
imagine I've allocated yet another VM and put it inside cluster as an empty node (only os-basic software is installed)
- do I need something from DNS hosting provider, like CNAME records, additional TXT records maybe?
- do we need a kind of tuning of the existing FE configs (nginx which is a forwarder there, for example)
- ImprovMX, addy.io, Telegram bot where? internally deployed inside the cluster or externally used by sort of API? need to create accounts for the document target feature? on which services, just to be ready before we go?
]
External check for provider-fault: UptimeRobot free tier (web registration only, no install anywhere).
[Anton's nodes:
just to remind, we're limited on this on the server's side:
- machine type: next type will be likely paravirtualized (no HVM)
- OS type: Alpine latest LTS (or Edge, but manually configured changing the repos)
- software: likely from the Alpine community packages/ package manager; meaning we'll try to avoid any source-based software, preferring apk's built for the particular Alpine
- FE/router: unlikely to install the software there, almost untouchable; we can play just with the configuration, like adding routes, playing with iptables, etc. with the existing software, but no new installations there
]
The how — DECIDED STACK:
INFRA METRICS (cast04):
- prometheus + node_exporter on cast01/cast02/cast03/cast04 (apk add)
- prometheus-blackbox-exporter on cast04 for HTTP/TCP service probes (apk add)
- prometheus-mysqld-exporter on MariaDB node (apk add)
- alertmanager on cast04 → email (SMTP relay) + Telegram bot (API only)
- grafana on cast04 (apk add); community dashboards for node_exporter + MariaDB
UPTIME STATUS PAGE (cast04, Docker):
- Uptime Kuma (Docker) on cast04 for a clean per-service status page
- Docker itself available via apk
EXTERNAL AVAILABILITY:
- UptimeRobot free tier — no install, web registration, HTTP probe to apps.f0xx.org
- Alerting via email from UptimeRobot
NOT CHOSEN (and why):
- Kibana/ELK: excluded (log-centric, heavy, wrong tool for infra metrics)
- Zabbix: licensing OK but less flexible for future business metrics integration vs Grafana
- Nagios: legacy, superseded by Prometheus+Alertmanager for this use case
- VictoriaMetrics: not in Alpine apk repos; use standard Prometheus at this scale
- Grafana Cloud / external SaaS aggregator: data must stay self-hosted (Anton's decision)
FUTURE (Track B, R1+):
- Grafana Loki + Promtail for centralized log aggregation
- Alertmanager webhook handlers for auto-remediation triggers
- Grafana queries TimescaleDB for business/application metrics (complement, not replace Prometheus)
CONSTRAINTS (Alpine notes):
- Machine: paravirtualized XEN guest (no HVM)
- OS: Alpine latest LTS (community + edge repos)
- Software: apk packages only; Docker available via apk for Uptime Kuma
- FE/router: no software installation; config-only (iptables, routes, existing software)
PRE-REQUISITES (accounts to create before deploy):
- Email alert relay: Gmail account + app password, OR Mailgun free tier (outbound SMTP only)
NOTE: ImprovMX and addy.io are inbound email routing services — NOT usable as SMTP relay for Alertmanager
- Telegram alerts: @BotFather → create bot → get TOKEN + CHAT_ID (add bot to ops group)
No software install; Alertmanager calls Telegram API from cast04
- UptimeRobot: free account at uptimerobot.com → add HTTP monitor for apps.f0xx.org
DNS / FE NGINX:
- R0: no DNS changes, no FE nginx changes required
- cast04 monitoring stack is internal-only (access via SSH tunnel or WireGuard from dev machine)
- Future optional: FE nginx proxy rule (config-only) to expose Grafana at e.g. /monitoring/ externally

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@@ -0,0 +1,72 @@
Cluster self-healing and automated orchestration draft (Track B)
milestone: R1+
severity: high
state: placeholder — not for immediate implementation; referenced by monitoring SPEC (Track A)
author: Anton Afanasyeu
date: 2026-06-26
related to: 20260626_cluster_monitoring*, 20260618_repos_reorganizing*, microservice split
Track A (prerequisite, must be complete first):
- Full passive monitoring + alerting operational (see specs/20260626_cluster_monitoring.md)
- Alert routing proven stable (email + Telegram)
- At least 4 weeks of baseline metrics collected (needed to calibrate thresholds)
The idea:
Once the monitoring layer (Track A) is stable and producing reliable alert signals, the next step is
to make the cluster respond to those signals automatically — rather than requiring a human to act on
every alert. This is commonly called cluster self-healing, auto-remediation, or a "smart hypervisor"
layer. It is NOT part of the monitoring SPEC; it is an orchestration concern.
Target scenarios (desired future automation):
Scenario 1 — CPU overload → horizontal scale-out
Trigger: microservice X CPU utilization > threshold for N minutes (Alertmanager signal)
Action: provision new node Y (via Xen/cloud API), deploy microservice X replica on it,
update load balancer / nginx upstream, re-route portion of traffic
Complexity: HIGH — requires VM provisioning API + dynamic nginx config reload
Scenario 2 — Idle scale-in (cost saving)
Trigger: microservice X CPU < threshold for Y hours AND overall cluster load < 75%
Action: gracefully drain microservice X instance, deprovision node, update upstream config
Complexity: HIGH — requires graceful drain protocol per microservice type
Scenario 3 — DDoS / network spike response
Trigger: NIC ingress/egress > threshold OR nginx 5xx rate spikes (Alertmanager signal)
Sub-action A (DDoS suspected): block suspect IPs, rate-limit at iptables, notify Anton
Sub-action B (organic spike): scale out cluster capacity, increase bandwidth (notify Anton for
bandwidth tier change — cannot be auto-done from cluster)
Complexity: VERY HIGH — requires traffic analysis, IP reputation, coordinated with upstream
Scenario 4 — Storage fault recovery
Trigger: disk SMART pre-failure / disk write latency > threshold on node Y
Action: elect replica to master (if MariaDB GTID replication is active), notify Anton to
provision spare node, re-sync replica on new node
Complexity: HIGH — MariaDB GTID failover + new node provisioning
Common prerequisites for all scenarios:
1. Track A monitoring + alerting fully operational (Alertmanager webhook available)
2. VM provisioning API (Xen xl toolstack or cloud provider API with automation credentials)
3. Configuration management (Ansible / ac-deploy role) for dynamic service placement
4. Graceful drain protocol defined per microservice (health endpoint + connection draining)
5. Load balancer / nginx upstream reconfiguration automation (e.g. consul-template or custom script)
6. Decision logic (thresholds, hysteresis, human-in-the-loop gates vs fully-automatic)
Approach options (TBD — to be designed in R1 DR):
a) Kubernetes operators (standard industry path; requires migrating to K8s)
b) Ansible event-driven (Ansible EDA) — react to Alertmanager webhooks with playbooks
c) Home-grown orchestration scripts called by Alertmanager webhook receiver on cast04
d) HashiCorp Nomad + Consul (lighter than K8s; service placement + dynamic upstream config)
Open questions (for R1 DR):
- Does Anton's infrastructure support Xen VM provisioning via API / xl scripting?
- What is the minimum cluster node count for safe scale-in (must keep >= N nodes)?
- Is Kubernetes acceptable given paravirt constraint (k3s on Alpine paravirt is feasible)?
- What is the human-in-the-loop policy: always require approval for scale-out/in, or fully
automatic within defined bounds?
- Cost model for scale-out: how are additional nodes billed / what is the budget ceiling?
Related documents:
- Track A: docs/DRs/20260626_cluster_monitoring.md + docs/specs/20260626_cluster_monitoring.md
- Scaling SPEC: docs/specs/20100612_1_scaling.md
- Repo reorganization SPEC: docs/specs/20260618_repos_reorganizing.md
- ac-deploy cluster scripts: orchestration/sim/cluster0/

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# Infrastructure health monitoring — specification
<!-- doc-meta:start -->
| Field | Value |
|---|---|
| Author | Anton Afanasyeu |
| Revision | R0 |
| Creation date | 2026-06-26 |
| Last modification date | 2026-06-26 |
| Co-authored | Cursor Agent (project assistant) |
| Severity | high |
| State | accepted |
| Document type | spec |
| Supersedes | — |
| Design review | [docs/DRs/20260626_cluster_monitoring.md](../DRs/20260626_cluster_monitoring.md) (frozen R0) |
<!-- doc-meta:end -->
---
**Document type:** SPEC
**Source draft:** [docs/drafts/20260626_cluster_monitoring.txt](../drafts/20260626_cluster_monitoring.txt)
**Design review:** [docs/DRs/20260626_cluster_monitoring.md](../DRs/20260626_cluster_monitoring.md) (frozen)
**PDF:** [20260626_cluster_monitoring.pdf](20260626_cluster_monitoring.pdf) · Regenerate: `bash ac-docs/build-pdf.sh`
**Status:** **Accepted** — implement per §7 deployment plan
**Scope:** Passive infrastructure monitoring and alerting for XEN cluster cast01–cast04; Track A only
**Related:** [INFRA.md](../INFRA.md) · [DRs/20260626_cluster_monitoring.md](../DRs/20260626_cluster_monitoring.md) · [specs/20100612_1_scaling.md](20100612_1_scaling.md) · [20260620_postgres_timescale_db_platform.md](../20260620_postgres_timescale_db_platform.md)
**Track B (future):** [drafts/20260626_cluster_orchestration.txt](../drafts/20260626_cluster_orchestration.txt)
**Documentation index:** [README.md](../README.md)
---
## Table of contents
<!-- toc -->
- [1. Purpose](#1-purpose)
- [2. Scope](#2-scope)
- [3. Requirements](#3-requirements)
- [3.1 Must](#31-must)
- [3.2 Should](#32-should)
- [3.3 Non-goals](#33-non-goals)
- [4. Monitoring domains](#4-monitoring-domains)
- [4.1 Hardware metrics](#41-hardware-metrics)
- [4.2 Software and service metrics](#42-software-and-service-metrics)
- [4.3 External availability](#43-external-availability)
- [4.4 Provider-layer fault escalation](#44-provider-layer-fault-escalation)
- [5. Topology — cast04 as dedicated monitoring node](#5-topology--cast04-as-dedicated-monitoring-node)
- [6. Component catalog](#6-component-catalog)
- [6.1 Alpine apk packages (cast04)](#61-alpine-apk-packages-cast04)
- [6.2 Alpine apk packages (cast01–cast03)](#62-alpine-apk-packages-cast0103)
- [6.3 Docker-based (cast04)](#63-docker-based-cast04)
- [6.4 External SaaS (no install)](#64-external-saas-no-install)
- [7. Deployment plan](#7-deployment-plan)
- [7.1 Phase 0 — cast04 provisioning](#71-phase-0--cast04-provisioning)
- [7.2 Phase 1 — Prometheus + node_exporter](#72-phase-1--prometheus--node_exporter)
- [7.3 Phase 2 — Service probes and MariaDB exporter](#73-phase-2--service-probes-and-mariadb-exporter)
- [7.4 Phase 3 — Alertmanager](#74-phase-3--alertmanager)
- [7.5 Phase 4 — Grafana dashboards](#75-phase-4--grafana-dashboards)
- [7.6 Phase 5 — Uptime Kuma + UptimeRobot](#76-phase-5--uptime-kuma--uptimerobot)
- [7.7 ac-deploy integration](#77-ac-deploy-integration)
- [8. Alert routing](#8-alert-routing)
- [8.1 Alert severity levels](#81-alert-severity-levels)
- [8.2 Routing rules](#82-routing-rules)
- [8.3 Alertmanager SMTP config (skeleton)](#83-alertmanager-smtp-config-skeleton)
- [8.4 Telegram receiver config (skeleton)](#84-telegram-receiver-config-skeleton)
- [8.5 Alert rule catalog](#85-alert-rule-catalog)
- [9. Grafana dashboard catalog](#9-grafana-dashboard-catalog)
- [10. Pre-requisite accounts](#10-pre-requisite-accounts)
- [11. TimescaleDB relationship](#11-timescaledb-relationship)
- [12. Verification and acceptance](#12-verification-and-acceptance)
- [13. Risks and mitigations](#13-risks-and-mitigations)
- [14. Related documents](#14-related-documents)
- [15. Changelog](#15-changelog)
<!-- /toc -->
---
## 1. Purpose
Define the **normative** implementation of passive infrastructure monitoring and alerting for the AndroidCast XEN-based VM cluster. The system must:
- Record hardware and software health metrics from all cluster nodes continuously
- Alert operators promptly when measured values exceed defined thresholds
- Provide visual dashboards for trend analysis and incident investigation
- Detect external (provider-layer) unavailability via an independent probe
This SPEC covers **Track A only** (observe, record, alert). Automated cluster remediation is Track B and is explicitly out of scope — see [drafts/20260626_cluster_orchestration.txt](../drafts/20260626_cluster_orchestration.txt).
---
## 2. Scope
| In scope | Out of scope |
|----------|--------------|
| Hardware metrics: CPU, RAM, disk, NIC per node | Automated node provisioning / deprovisioning |
| Software metrics: process health, HTTP probes, MariaDB | Log aggregation (Grafana Loki — planned R1) |
| Alert routing: email + Telegram | Auto-scaling or auto-failover reactions |
| External uptime probe (UptimeRobot) | Changes to FE nginx or router software |
| Grafana dashboards (infra layer) | Business / application metrics (→ TimescaleDB) |
| cast04 as dedicated monitoring VM | Kubernetes / service mesh |
| ac-deploy integration (monitoring role) | SaaS external aggregator for metric data |
| Pre-requisite account setup guide | iOS / mobile performance profiling |
**Alpha constraint:** Monitoring stack MAY be deployed incrementally per §7 phases. Each phase MUST leave prior phases operational.
---
## 3. Requirements
### 3.1 Must
| ID | Requirement |
|----|-------------|
| R-MON-1 | cast04 dedicated monitoring VM provisioned as Alpine LTS paravirt XEN guest |
| R-MON-2 | node_exporter running on cast01, cast02, cast03, cast04 |
| R-MON-3 | Prometheus scraping all node_exporters on 15s interval |
| R-MON-4 | blackbox_exporter probing all critical HTTP endpoints (§4.2) from cast04 |
| R-MON-5 | mysqld_exporter running on MariaDB primary node |
| R-MON-6 | Alertmanager routing CRITICAL alerts to email within 2 min of threshold breach |
| R-MON-7 | Grafana serving dashboards on cast04 (internal access via SSH tunnel at R0) |
| R-MON-8 | UptimeRobot external HTTP probe active for `apps.f0xx.org` |
| R-MON-9 | All software installed via Alpine apk or Docker (no source compilation) |
| R-MON-10 | No new software installed on FE VM or router |
| R-MON-11 | Metric data retained locally on cast04 for minimum 90 days |
| R-MON-12 | Alert for CPU steal time > 10% sustained 5 min (Xen overcommit indicator → notify Anton) |
| R-MON-13 | Alert for disk write latency > 100ms sustained 5 min on MariaDB node |
| R-MON-14 | Alert for MariaDB replication lag > 30s |
| R-MON-15 | Hardware guarantee baseline alerts (§4.1 table) — notify when measured < guaranteed |
### 3.2 Should
| ID | Requirement |
|----|-------------|
| R-MON-S1 | Alertmanager Telegram receiver configured alongside email |
| R-MON-S2 | Uptime Kuma status page deployed on cast04 (Docker) |
| R-MON-S3 | Grafana provisioned with community dashboard for node_exporter (ID 1860) |
| R-MON-S4 | Grafana provisioned with community dashboard for MariaDB |
| R-MON-S5 | Prometheus metric retention configurable via `--storage.tsdb.retention.time` |
| R-MON-S6 | Alertmanager grouping configured to suppress alert storms (group_wait 30s, group_interval 5m) |
| R-MON-S7 | ac-deploy `monitoring/` role added to cluster0 scripts for reproducible deployment |
### 3.3 Non-goals
- Automated node scale-out or scale-in (Track B)
- DDoS automatic mitigation (Track B)
- Storage automatic failover (Track B)
- Centralized log search (Grafana Loki — R1)
- Business metrics dashboards (TimescaleDB + Grafana — separate track)
- Monitoring of router or FE internal metrics (config-only access; UptimeRobot covers external availability)
---
## 4. Monitoring domains
### 4.1 Hardware metrics
Collected by **node_exporter** on every VM (cast01–cast04). Alert thresholds are guidelines — tune after collecting baseline.
| Metric | Prometheus metric name | WARNING threshold | CRITICAL threshold | Xen note |
|--------|----------------------|-------------------|--------------------|-----------|
| CPU utilization | `rate(node_cpu_seconds_total{mode!="idle"}[5m])` | > 80% (5 min) | > 95% (5 min) | |
| **CPU steal time** | `rate(node_cpu_seconds_total{mode="steal"}[5m])` | > 5% (5 min) | > 10% (5 min) | Xen overcommit → notify Anton |
| Load average 1m | `node_load1 / node_cpu_count` | > 1.5 | > 3.0 | |
| RAM used % | `1 - node_memory_MemAvailable_bytes / node_memory_MemTotal_bytes` | > 80% | > 90% | |
| Swap used % | `node_memory_SwapFree_bytes / node_memory_SwapTotal_bytes` | > 50% | > 80% | |
| Disk used % | `1 - node_filesystem_avail_bytes / node_filesystem_size_bytes` | > 75% | > 90% | |
| Disk write latency | `rate(node_disk_write_time_seconds_total[5m]) / rate(node_disk_writes_completed_total[5m])` | > 50ms | > 100ms | Critical on MariaDB node |
| Disk IOPS | `rate(node_disk_io_time_seconds_total[5m])` | > 80% | > 95% | |
| NIC ingress bytes/s | `rate(node_network_receive_bytes_total[5m])` | > 150 Mbit/s | > 190 Mbit/s | Guaranteed: 200 Mbit/s |
| NIC egress bytes/s | `rate(node_network_transmit_bytes_total[5m])` | > 150 Mbit/s | > 190 Mbit/s | Guaranteed: 200 Mbit/s |
| NIC packet drops | `rate(node_network_receive_drop_total[5m])` | > 0.1% | > 1% | |
| NIC errors | `rate(node_network_receive_errs_total[5m])` | > 0 | > 10/min | |
**Hardware guarantee baseline check:** If `node_memory_MemTotal_bytes` < 7.5 GB, or CPU core count < 8, or disk total < 30 GB → CRITICAL alert (guaranteed resources not provided → notify Anton).
### 4.2 Software and service metrics
#### Process / systemd health (node_exporter `systemd` collector or blackbox TCP probe)
| Service | Check | Alert trigger |
|---------|-------|---------------|
| nginx | TCP :80 probe | Connection refused → CRITICAL |
| php-fpm | TCP socket probe | No response → CRITICAL |
| MariaDB | TCP :3306 probe | Connection refused → CRITICAL |
| sshd | TCP :22 probe | Connection refused → WARNING |
| Per-microservice HTTP endpoint | HTTP GET /health or / | Non-2xx or timeout > 5s → WARNING; > 30s → CRITICAL |
#### MariaDB metrics (mysqld_exporter)
| Metric | Prometheus metric | WARNING | CRITICAL |
|--------|------------------|---------|---------|
| Replication lag | `mysql_slave_status_seconds_behind_master` | > 10s | > 30s |
| Open connections | `mysql_global_status_threads_connected` | > 80% of max | > 95% of max |
| Slow queries/s | `rate(mysql_global_status_slow_queries[5m])` | > 1/s | > 5/s |
| InnoDB buffer pool hit | `mysql_global_status_innodb_buffer_pool_reads / mysql_global_status_innodb_buffer_pool_read_requests` | < 95% | < 90% |
| Aborted connections | `rate(mysql_global_status_aborted_connects[5m])` | > 1/min | > 10/min |
#### nginx metrics (via node_exporter nginx stub or blackbox HTTP probe)
| Metric | Source | WARNING | CRITICAL |
|--------|--------|---------|---------|
| 5xx response rate | blackbox HTTP probe returning 5xx | Any 5xx returned | > 10% of requests |
| Response time | blackbox `probe_duration_seconds` | > 2s | > 10s |
#### php-fpm metrics (via php-fpm status endpoint + blackbox or custom exporter)
| Metric | WARNING | CRITICAL |
|--------|---------|---------|
| Active workers % of max | > 70% | > 90% |
| Queue length | > 5 | > 20 |
### 4.3 External availability
**Tool:** UptimeRobot free tier — no installation; checks from UptimeRobot's global nodes.
| Monitor | URL | Check interval | Alert on |
|---------|-----|---------------|---------|
| Frontend TLS | `https://apps.f0xx.org` | 5 min | Non-2xx or timeout |
| API health | `https://apps.f0xx.org/app/androidcast_project/` | 5 min | Non-2xx or timeout |
**Internal cross-check:** blackbox_exporter on cast04 also probes the FE endpoint from inside the cluster. If UptimeRobot fires but blackbox does NOT → provider/uplink fault (Anton's layer). If both fire → likely cluster-side issue.
### 4.4 Provider-layer fault escalation
When monitoring detects that the root cause is in Anton's infrastructure layer:
| Symptom | Likely cause | Action |
|---------|-------------|--------|
| CPU steal > 10% sustained | Xen host overcommit | Email Anton; await response |
| Disk write latency persistent despite low I/O | Xen host disk contention | Email Anton |
| NIC saturation below 200 Mbit guarantee | Uplink / Xen host NIC | Email Anton |
| UptimeRobot alert + cast04 unreachable | Xen host or uplink down | Email Anton; check intra-network |
| Entire cluster unreachable | Router / uplink / payment | Email Anton; check calendar |
These events are **alert-only** at R0. No automated remediation.
---
## 5. Topology — cast04 as dedicated monitoring node
```text
10.7.0.0/8 internal network
┌────────────────────────────────────────┐
│ cast04 — monitoring VM (Alpine LTS) │
│ │
cast01 ──[ :9100 node_exporter ]──┤ │
cast02 ──[ :9100 node_exporter ]──┤──► Prometheus :9090 │
cast03 ──[ :9100 node_exporter ]──┤ ├── scrape all :9100 │
cast04 ──[ :9100 node_exporter ]──┘ ├── scrape :9104 (mysqld) │
MariaDB node ─[ :9104 mysqld_exp ] └── evaluate alert rules │
│ │
▼ │
Alertmanager :9093 │
├── email (SMTP relay) │
└── Telegram bot API │
│
blackbox_exporter :9115 │
└── HTTP/TCP probes → cast01–03, │
FE endpoint, per-service /health │
│
Grafana :3000 │
├── datasource: Prometheus │
└── datasource: TimescaleDB (future) │
│
Uptime Kuma :3001 (Docker) │
└── per-service status page │
└───────────────────────────────────────┘
External (no install):
UptimeRobot ──► HTTP probe ──► apps.f0xx.org (from internet)
```
**cast04 minimum provisioning request (to Anton):**
```
VM name: cast04
VM type: paravirt XEN guest
OS: Alpine Linux latest LTS (64-bit)
CPU: 2 vCPU
RAM: 2 GB
Disk: 32 GB (non-shared)
Network: Internal 10.7.0.0/8 + internet egress (for Alertmanager SMTP / Telegram API calls)
```
---
## 6. Component catalog
### 6.1 Alpine apk packages (cast04)
```bash
apk update && apk upgrade
apk add prometheus alertmanager grafana \
prometheus-node-exporter \
prometheus-blackbox-exporter \
docker docker-cli docker-compose
```
| Package | Alpine repo | Version policy |
|---------|------------|---------------|
| `prometheus` | community/edge | latest stable in repo |
| `alertmanager` | community/edge | latest stable |
| `grafana` | community/edge | latest stable |
| `prometheus-node-exporter` | community | latest stable |
| `prometheus-blackbox-exporter` | community | latest stable |
| `docker` | community | for Uptime Kuma container |
If a package is only in Alpine **edge** repo, add the edge community URL to `/etc/apk/repositories` and pin via `/etc/apk/world`.
### 6.2 Alpine apk packages (cast01–cast03)
Install only the node exporter on each workload node:
```bash
apk add prometheus-node-exporter
rc-update add node-exporter default
rc-service node-exporter start
```
On the MariaDB primary node, additionally:
```bash
apk add prometheus-mysqld-exporter
# Create limited MariaDB user for exporter:
mysql -e "CREATE USER 'prom_exporter'@'localhost' IDENTIFIED BY '<password>';"
mysql -e "GRANT PROCESS, REPLICATION CLIENT, SELECT ON *.* TO 'prom_exporter'@'localhost';"
# Configure /etc/prometheus-mysqld-exporter/mysqld_exporter.env
# DATA_SOURCE_NAME='prom_exporter:<password>@(localhost:3306)/'
rc-update add mysqld-exporter default
rc-service mysqld-exporter start
```
### 6.3 Docker-based (cast04)
```bash
rc-update add docker default
rc-service docker start
# Uptime Kuma
docker run -d --restart=always \
--name uptime-kuma \
-p 3001:3001 \
-v uptime-kuma:/app/data \
louislam/uptime-kuma:latest
```
### 6.4 External SaaS (no install)
| Service | URL | Action |
|---------|-----|--------|
| UptimeRobot | https://uptimerobot.com | Create free account; add HTTP monitor for `https://apps.f0xx.org`; configure email alert |
---
## 7. Deployment plan
Deploy phases in order. Each phase MUST be verified before starting the next.
### 7.1 Phase 0 — cast04 provisioning
**Goal:** cast04 VM exists and is reachable from cast01–cast03 on internal network.
| Action | Detail |
|--------|--------|
| Request VM | Ask Anton for cast04 — spec per §5 table |
| Base install | Alpine latest LTS; configure apk repos (community + edge) |
| SSH access | Add developer SSH key; test login |
| Network | Confirm cast04 can reach cast01–03 IPs on internal network |
| NTP | `apk add chrony && rc-service chronyd start` |
**Verify:** `ssh cast04 ping cast01` succeeds; `apk update` succeeds.
### 7.2 Phase 1 — Prometheus + node_exporter
**Goal:** Prometheus scraping hardware metrics from all nodes.
```bash
# On cast04:
apk add prometheus prometheus-node-exporter
# /etc/prometheus/prometheus.yml
global:
scrape_interval: 15s
evaluation_interval: 15s
scrape_configs:
- job_name: 'node'
static_configs:
- targets:
- 'cast01:9100'
- 'cast02:9100'
- 'cast03:9100'
- 'cast04:9100'
rc-update add prometheus default
rc-update add node-exporter default
rc-service prometheus start
rc-service node-exporter start
```
On cast01–cast03: install and start `prometheus-node-exporter` (§6.2).
**Verify:** `curl http://cast04:9090/api/v1/targets` shows all 4 nodes in state `up`.
### 7.3 Phase 2 — Service probes and MariaDB exporter
**Goal:** HTTP/TCP probes and MariaDB metrics flowing.
Add to `prometheus.yml`:
```yaml
- job_name: 'blackbox_http'
metrics_path: /probe
params:
module: [http_2xx]
static_configs:
- targets:
- https://apps.f0xx.org
- http://cast01:80 # nginx on workload nodes
# add per-microservice /health endpoints as they exist
relabel_configs:
- source_labels: [__address__]
target_label: __param_target
- source_labels: [__param_target]
target_label: instance
- target_label: __address__
replacement: cast04:9115 # blackbox_exporter
- job_name: 'blackbox_tcp'
metrics_path: /probe
params:
module: [tcp_connect]
static_configs:
- targets:
- cast01:3306 # MariaDB
- cast02:3306 # replica
- cast01:22
- cast02:22
- cast03:22
relabel_configs:
- source_labels: [__address__]
target_label: __param_target
- source_labels: [__param_target]
target_label: instance
- target_label: __address__
replacement: cast04:9115
- job_name: 'mariadb'
static_configs:
- targets: ['<mariadb-primary-node>:9104']
```
Start services:
```bash
rc-service blackbox-exporter start
rc-service mysqld-exporter start # on MariaDB node
```
**Verify:** `curl "http://cast04:9115/probe?target=https://apps.f0xx.org&module=http_2xx"` returns `probe_success 1`.
### 7.4 Phase 3 — Alertmanager
**Goal:** Alerts route to email and (optionally) Telegram on threshold breach.
See §8 for full Alertmanager config skeletons. Deploy skeleton, then fill in SMTP credentials and Telegram token.
```bash
apk add alertmanager
# Edit /etc/alertmanager/alertmanager.yml (see §8.3 + §8.4)
rc-update add alertmanager default
rc-service alertmanager start
```
Add `alerting:` and `rule_files:` blocks to `prometheus.yml` (see §8.5 for rule file examples).
**Verify:** `amtool --alertmanager.url=http://cast04:9093 alert` returns empty (no active alerts); send a test alert and confirm email receipt.
### 7.5 Phase 4 — Grafana dashboards
**Goal:** Visual dashboards accessible for all metrics collected in phases 1–3.
```bash
apk add grafana
rc-update add grafana default
rc-service grafana start
# Access: http://cast04:3000 (via SSH tunnel: ssh -L 3000:cast04:3000 cast04)
```
In Grafana UI:
1. Add Prometheus datasource: `http://localhost:9090`
2. Import community dashboard **1860** ("Node Exporter Full") — covers §4.1 metrics
3. Import community dashboard **7362** or **13106** (MariaDB / mysqld_exporter)
4. Create custom panel for blackbox probe results (status per service endpoint)
5. Create overview panel showing hardware guarantee baseline vs measured values
**Verify:** All four dashboards render data; node_exporter CPU steal panel shows non-zero (or zero — both valid).
### 7.6 Phase 5 — Uptime Kuma + UptimeRobot
**Goal:** Service status page + external probe active.
```bash
# Uptime Kuma on cast04 (Docker):
rc-service docker start
docker run -d --restart=always --name uptime-kuma \
-p 3001:3001 -v uptime-kuma:/app/data louislam/uptime-kuma:latest
# Access: http://cast04:3001 (via SSH tunnel)
```
Configure monitors in Uptime Kuma UI:
- Add HTTP monitors for each microservice `/health` endpoint
- Add TCP monitors for MariaDB :3306, nginx :80
- Configure notification to same email as Alertmanager
**UptimeRobot:**
- Register free account at https://uptimerobot.com
- Add HTTP(s) monitor: `https://apps.f0xx.org`, 5-minute interval
- Add email alert notification (same ops email as Alertmanager)
**Verify:** Uptime Kuma dashboard shows all green; UptimeRobot sends test notification successfully.
### 7.7 ac-deploy integration
Add a `monitoring/` role to cluster0 deploy scripts in `ac-deploy/sim/cluster0/`:
```
ac-deploy/sim/cluster0/
monitoring/
deploy-monitoring.sh # installs cast04 components
prometheus.yml.j2 # Jinja2/envsubst template with node IPs
alertmanager.yml.j2 # template with SMTP/Telegram creds from env
alert-rules/
hardware.yml # §4.1 rules
services.yml # §4.2 rules
grafana/
datasources.yml # auto-provision Prometheus datasource
dashboards/ # provisioned dashboard JSONs
```
Credentials (SMTP password, Telegram token) MUST be passed via environment variables or a secrets file outside git — never committed.
**Verify:** `bash deploy-monitoring.sh` on a fresh cast04 produces a running stack within 10 minutes.
---
## 8. Alert routing
### 8.1 Alert severity levels
| Level | Meaning | Response |
|-------|---------|---------|
| `critical` | Service down or hardware limit exceeded | Alert immediately; wake operator if outside hours |
| `warning` | Approaching threshold; degraded | Alert during business hours; batch in digest |
| `info` | Notable event; no action required | Log only; no alert |
### 8.2 Routing rules
```
critical → email (immediately) + Telegram (immediately)
warning → email (grouped, 5 min window)
info → no alert (recorded in Prometheus only)
```
### 8.3 Alertmanager SMTP config (skeleton)
```yaml
# /etc/alertmanager/alertmanager.yml
global:
smtp_smarthost: 'smtp.gmail.com:587' # or Mailgun: smtp.mailgun.org:587
smtp_from: 'alerts@your-domain.com'
smtp_auth_username: 'your-gmail@gmail.com'
smtp_auth_password: '<APP_PASSWORD>' # from env / secrets file
smtp_require_tls: true
route:
group_by: ['alertname', 'instance']
group_wait: 30s
group_interval: 5m
repeat_interval: 4h
receiver: 'ops-email'
routes:
- match:
severity: critical
receiver: 'ops-critical'
group_wait: 10s
repeat_interval: 1h
receivers:
- name: 'ops-email'
email_configs:
- to: 'ops@your-domain.com'
send_resolved: true
- name: 'ops-critical'
email_configs:
- to: 'ops@your-domain.com'
send_resolved: true
telegram_configs:
- bot_token: '<TELEGRAM_BOT_TOKEN>' # from env / secrets file
chat_id: <TELEGRAM_CHAT_ID>
send_resolved: true
inhibit_rules:
- source_match:
severity: 'critical'
target_match:
severity: 'warning'
equal: ['instance']
```
**Note:** Replace `<APP_PASSWORD>` and `<TELEGRAM_BOT_TOKEN>` with values from environment — never commit credentials to git.
### 8.4 Telegram receiver config (skeleton)
Obtain Telegram credentials:
1. Open Telegram, message `@BotFather`
2. `/newbot` → follow prompts → save `TOKEN`
3. Add the bot to your ops group or DM it, then: `curl https://api.telegram.org/bot<TOKEN>/getUpdates` → find `chat.id`
4. Set `TELEGRAM_BOT_TOKEN=<TOKEN>` and `TELEGRAM_CHAT_ID=<CHAT_ID>` in the secrets file used by deploy script
### 8.5 Alert rule catalog
Create `/etc/prometheus/rules/hardware.yml`:
```yaml
groups:
- name: hardware
rules:
- alert: CpuHighUtilization
expr: 100 - (avg by(instance) (rate(node_cpu_seconds_total{mode="idle"}[5m])) * 100) > 95
for: 5m
labels:
severity: critical
annotations:
summary: "CPU critical on {{ $labels.instance }}"
description: "CPU utilization {{ $value | humanize }}% > 95%"
- alert: XenCpuStealHigh
expr: avg by(instance) (rate(node_cpu_seconds_total{mode="steal"}[5m])) * 100 > 10
for: 5m
labels:
severity: critical
annotations:
summary: "Xen CPU steal critical on {{ $labels.instance }} — notify Anton"
description: "CPU steal {{ $value | humanize }}% > 10% — hypervisor overcommit"
- alert: RamCritical
expr: (1 - node_memory_MemAvailable_bytes / node_memory_MemTotal_bytes) * 100 > 90
for: 5m
labels:
severity: critical
annotations:
summary: "RAM critical on {{ $labels.instance }}"
- alert: DiskCritical
expr: (1 - node_filesystem_avail_bytes{fstype!~"tmpfs|overlay"} / node_filesystem_size_bytes) * 100 > 90
for: 5m
labels:
severity: critical
annotations:
summary: "Disk critical on {{ $labels.instance }} mount {{ $labels.mountpoint }}"
- alert: DiskWriteLatencyHigh
expr: >
rate(node_disk_write_time_seconds_total[5m])
/ rate(node_disk_writes_completed_total[5m]) * 1000 > 100
for: 5m
labels:
severity: critical
annotations:
summary: "Disk write latency critical on {{ $labels.instance }} — possible HW fault; notify Anton"
- alert: HardwareGuaranteeRamBreach
expr: node_memory_MemTotal_bytes < 7.5 * 1024 * 1024 * 1024
for: 1m
labels:
severity: critical
annotations:
summary: "RAM below guaranteed 8 GB on {{ $labels.instance }} — notify Anton"
```
Create `/etc/prometheus/rules/services.yml`:
```yaml
groups:
- name: services
rules:
- alert: ServiceDown
expr: probe_success == 0
for: 1m
labels:
severity: critical
annotations:
summary: "Service unreachable: {{ $labels.instance }}"
- alert: ServiceSlowResponse
expr: probe_duration_seconds > 10
for: 2m
labels:
severity: warning
annotations:
summary: "Slow response from {{ $labels.instance }}: {{ $value | humanize }}s"
- alert: MariaDbReplicationLag
expr: mysql_slave_status_seconds_behind_master > 30
for: 2m
labels:
severity: critical
annotations:
summary: "MariaDB replication lag {{ $value | humanize }}s on {{ $labels.instance }}"
- alert: MariaDbDown
expr: mysql_up == 0
for: 1m
labels:
severity: critical
annotations:
summary: "MariaDB exporter cannot reach database on {{ $labels.instance }}"
```
Add to `prometheus.yml`:
```yaml
rule_files:
- "/etc/prometheus/rules/*.yml"
alerting:
alertmanagers:
- static_configs:
- targets: ['cast04:9093']
```
---
## 9. Grafana dashboard catalog
| Dashboard | Grafana ID | Source | Covers |
|-----------|-----------|--------|--------|
| Node Exporter Full | 1860 | community | CPU, RAM, disk, NIC, load — all §4.1 metrics |
| MariaDB Overview | 7362 | community | Connections, queries, replication lag, InnoDB |
| Blackbox Exporter | 7587 | community | HTTP probe success/latency per target |
| Custom: Hardware Guarantee | — | create | Measured vs Anton's guaranteed values |
| Custom: Service Health Overview | — | create | All service probes in one panel grid |
**Provisioning via ac-deploy:** export dashboard JSON from Grafana UI after customization and store in `ac-deploy/sim/cluster0/monitoring/grafana/dashboards/`. Add datasource YAML to `grafana/datasources/prometheus.yml`.
---
## 10. Pre-requisite accounts
The following must be created by the project owner before Phase 3 deploy:
| Account | Service | Purpose | Notes |
|---------|---------|---------|-------|
| Gmail app password | Gmail Settings → Security → App passwords | Alertmanager SMTP relay | App password, not account password. Alternatively: Mailgun free (10k/month) |
| Telegram bot | @BotFather in Telegram | Alertmanager Telegram receiver | `/newbot` → TOKEN; `getUpdates` → CHAT_ID |
| UptimeRobot free | https://uptimerobot.com | External HTTP probe | Add monitor for `https://apps.f0xx.org` |
**Important:** ImprovMX and addy.io provide inbound email routing (MX records) — they are not outbound SMTP relay services and cannot be used with Alertmanager. Use Gmail app password or a dedicated transactional email service (Mailgun, SendGrid) for outbound alerts.
---
## 11. TimescaleDB relationship
This SPEC implements infra-layer monitoring. Business and application metrics are a separate concern handled by the TimescaleDB platform plan ([20260620_postgres_timescale_db_platform.md](../20260620_postgres_timescale_db_platform.md)).
| Layer | Store | Examples | Retention |
|-------|-------|----------|-----------|
| Infrastructure | Prometheus TSDB on cast04 | CPU steal, disk latency, service probe | 90 days |
| Business / application | TimescaleDB (PostgreSQL) | Crash rate, session count, graph analytics | Long-term (configurable) |
Grafana on cast04 can query both stores simultaneously. No ETL or data duplication is required between them. The TimescaleDB datasource is added to Grafana as a second datasource in a future step — it does not affect R0 monitoring deployment.
---
## 12. Verification and acceptance
All phases must pass their gate before the next phase begins.
| Phase | Acceptance criteria |
|-------|---------------------|
| 0 | cast04 reachable from cast01–03; `apk update` succeeds |
| 1 | `curl http://cast04:9090/api/v1/targets` shows all 4 nodes state=up |
| 2 | Blackbox probe for `https://apps.f0xx.org` returns `probe_success 1`; mysqld_exporter metrics visible in Prometheus |
| 3 | Test alert fires and email is received within 2 minutes; Telegram notification received (if configured) |
| 4 | Grafana dashboard 1860 renders data for all nodes; MariaDB dashboard shows replication status |
| 5 | Uptime Kuma shows all services green; UptimeRobot sends test notification |
| ac-deploy | Fresh cast04 reproduced by running `deploy-monitoring.sh` within 10 minutes |
**Ongoing regression:** After any cluster change (new microservice, new VM, nginx config change), add corresponding blackbox probe target and Grafana panel within 48 hours.
---
## 13. Risks and mitigations
| Risk | Mitigation |
|------|------------|
| cast04 itself fails — monitoring blind | UptimeRobot external probe continues; Alertmanager writes state to disk and resumes after VM restart |
| XEN host failure takes cast04 offline | UptimeRobot fires from external — operator is alerted even without cast04 |
| Alpine edge package breaks Prometheus | Pin version in `/etc/apk/world`; test upgrades on cast04 before rolling to workload nodes |
| SMTP rate limit during incident storm | Alertmanager `group_interval: 5m` + `repeat_interval: 4h` limit volume; Telegram is parallel channel |
| Prometheus disk overflow | 32 GB cast04 disk; estimated < 5 GB for 3 nodes at 15s scrape over 90 days; monitor cast04 disk in Grafana |
| Credentials leaked in git | Secrets must be in environment variables or a secrets file excluded from git (`.gitignore`); never in `prometheus.yml` or `alertmanager.yml` committed to repo |
| FE/router metrics unavailable | FE nginx stub_status available via config if Anton allows; not mandatory — blackbox HTTP probe sufficient at R0 |
---
## 14. Related documents
| Document | Role |
|----------|------|
| [DRs/20260626_cluster_monitoring.md](../DRs/20260626_cluster_monitoring.md) | Frozen design review (source of this SPEC) |
| [drafts/20260626_cluster_orchestration.txt](../drafts/20260626_cluster_orchestration.txt) | Track B — auto-remediation placeholder |
| [INFRA.md](../INFRA.md) | FE/BE topology, hosts, ports |
| [specs/20100612_1_scaling.md](20100612_1_scaling.md) | VM roles and cluster layout |
| [specs/20260618_repos_reorganizing.md](20260618_repos_reorganizing.md) | Microservice split (each new MS needs a blackbox probe) |
| [20260620_postgres_timescale_db_platform.md](../20260620_postgres_timescale_db_platform.md) | Business metrics store (complements Prometheus) |
| [GRAFANA_vs_others_graphvis_pivot.md](../GRAFANA_vs_others_graphvis_pivot.md) | Earlier Grafana evaluation for application analytics |
| [orchestration/sim/cluster0/ARCHITECTURE.md](../../orchestration/sim/cluster0/ARCHITECTURE.md) | Lab cluster node layout |
---
## 15. Changelog
| Rev | Date | Change |
|-----|------|--------|
| R0 | 2026-06-26 | SPEC converted from draft + DR R0; all decisions locked; deployment plan §7; alert rules §8 |

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/Filter [ /ASCII85Decode /FlateDecode ] /Length 3841
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/Filter [ /ASCII85Decode /FlateDecode ] /Length 1845
>>
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/Filter [ /ASCII85Decode /FlateDecode ] /Length 2519
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/Filter [ /ASCII85Decode /FlateDecode ] /Length 4025
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