- 0025: Observability stack (Prometheus + ClickStack + OTEL) - 0026: Tiered storage strategy (Longhorn + NFS) - 0027: Database strategy (CloudNativePG for PostgreSQL) - 0028: Authentik SSO strategy (OIDC/SAML identity provider)
335 lines
15 KiB
Markdown
335 lines
15 KiB
Markdown
# Tiered Storage Strategy: Longhorn + NFS
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* Status: accepted
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* Date: 2026-02-04
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* Deciders: Billy
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* Technical Story: Provide tiered storage for Kubernetes workloads balancing performance and capacity
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## Context and Problem Statement
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Kubernetes requires a storage solution for stateful applications like databases, message queues, and AI model caches. Different workloads have vastly different requirements:
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- Databases need fast, reliable storage with replication
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- Media libraries need large capacity but can tolerate slower access
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- AI/ML workloads need both - fast storage for models, large capacity for datasets
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The homelab has heterogeneous nodes including x86_64 servers and ARM64 Raspberry Pis, plus an external NAS for bulk storage.
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How do we provide tiered storage that balances performance, reliability, and capacity for diverse homelab workloads?
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## Decision Drivers
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* Performance - fast IOPS for databases and critical workloads
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* Capacity - large storage for media, datasets, and archives
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* Reliability - data must survive node failures
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* Heterogeneous support - work on both x86_64 and ARM64 (with limitations)
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* Backup capability - support for off-cluster backups
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* GitOps deployment - Helm charts with Flux management
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## Considered Options
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1. **Longhorn + NFS dual-tier storage**
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2. **Rook-Ceph for everything**
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3. **OpenEBS with Mayastor**
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4. **NFS only**
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5. **Longhorn only**
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## Decision Outcome
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Chosen option: **Option 1 - Longhorn + NFS dual-tier storage**
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Two storage tiers optimized for different use cases:
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- **`longhorn`** (default): Fast distributed block storage on NVMe/SSDs for databases and critical workloads
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- **`nfs-slow`**: High-capacity NFS storage on external NAS for media, datasets, and bulk storage
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### Positive Consequences
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* Right-sized storage for each workload type
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* Longhorn provides HA with automatic replication
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* NFS provides massive capacity without consuming cluster disk space
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* ReadWriteMany (RWX) easy on NFS tier
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* Cost-effective - use existing NAS investment
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### Negative Consequences
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* Two storage systems to manage
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* NFS is slower (hence `nfs-slow` naming)
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* NFS single point of failure (no replication)
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* Network dependency for both tiers
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## Architecture
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```
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┌────────────────────────────────────────────────────────────────────────────┐
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│ TIER 1: LONGHORN │
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│ (Fast Distributed Block Storage) │
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│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
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│ │ khelben │ │ mystra │ │ selune │ │
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│ │ (NVIDIA) │ │ (AMD) │ │ (AMD) │ │
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│ │ │ │ │ │ │ │
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│ │ /var/mnt/ │ │ /var/mnt/ │ │ /var/mnt/ │ │
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│ │ longhorn │ │ longhorn │ │ longhorn │ │
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│ │ (NVMe) │ │ (SSD) │ │ (SSD) │ │
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│ └──────┬──────┘ └──────┬──────┘ └──────┬──────┘ │
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│ │ │ │ │
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│ └────────────────┼────────────────┘ │
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│ ▼ │
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│ ┌───────────────────────┐ │
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│ │ Longhorn Manager │ │
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│ │ (Schedules replicas) │ │
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│ └───────────┬───────────┘ │
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│ ▼ │
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│ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │
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│ │ Postgres │ │ Vault │ │Prometheus│ │ClickHouse│ │
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│ │ PVC │ │ PVC │ │ PVC │ │ PVC │ │
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│ └──────────┘ └──────────┘ └──────────┘ └──────────┘ │
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└────────────────────────────────────────────────────────────────────────────┘
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┌────────────────────────────────────────────────────────────────────────────┐
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│ TIER 2: NFS-SLOW │
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│ (High-Capacity Bulk Storage) │
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│ │
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│ ┌────────────────────────────────────────────────────────────────┐ │
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│ │ candlekeep.lab.daviestechlabs.io │ │
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│ │ (External NAS) │ │
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│ │ │ │
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│ │ /kubernetes │ │
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│ │ ├── jellyfin-media/ (1TB+ media library) │ │
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│ │ ├── nextcloud/ (user files) │ │
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│ │ ├── immich/ (photo backups) │ │
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│ │ ├── kavita/ (ebooks, comics, manga) │ │
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│ │ ├── mlflow-artifacts/ (model artifacts) │ │
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│ │ ├── ray-models/ (AI model weights) │ │
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│ │ └── gitea-runner/ (build caches) │ │
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│ └────────────────────────────────────────────────────────────────┘ │
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│ │ │
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│ ▼ │
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│ ┌───────────────────────┐ │
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│ │ NFS CSI Driver │ │
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│ │ (csi-driver-nfs) │ │
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│ └───────────┬───────────┘ │
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│ ▼ │
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│ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │
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│ │ Jellyfin │ │Nextcloud │ │ Immich │ │ Kavita │ │
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│ │ PVC │ │ PVC │ │ PVC │ │ PVC │ │
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│ └──────────┘ └──────────┘ └──────────┘ └──────────┘ │
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└────────────────────────────────────────────────────────────────────────────┘
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```
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## Tier 1: Longhorn Configuration
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### Helm Values
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```yaml
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persistence:
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defaultClass: true
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defaultClassReplicaCount: 2
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defaultDataPath: /var/mnt/longhorn
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defaultSettings:
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defaultDataPath: /var/mnt/longhorn
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# Allow on vllm-tainted nodes
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taintToleration: "dedicated=vllm:NoSchedule"
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# Exclude Raspberry Pi nodes (ARM64)
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systemManagedComponentsNodeSelector: "kubernetes.io/arch:amd64"
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# Snapshot retention
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defaultRecurringJobs:
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- name: nightly-snapshots
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task: snapshot
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cron: "0 2 * * *"
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retain: 7
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- name: weekly-backups
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task: backup
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cron: "0 3 * * 0"
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retain: 4
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```
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### Longhorn Storage Classes
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| StorageClass | Replicas | Use Case |
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|--------------|----------|----------|
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| `longhorn` (default) | 2 | General workloads, databases |
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| `longhorn-single` | 1 | Development/ephemeral |
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| `longhorn-strict` | 3 | Critical databases |
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## Tier 2: NFS Configuration
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### Helm Values (csi-driver-nfs)
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```yaml
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storageClass:
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create: true
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name: nfs-slow
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parameters:
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server: candlekeep.lab.daviestechlabs.io
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share: /kubernetes
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mountOptions:
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- nfsvers=4.1
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- nconnect=16 # Multiple TCP connections for throughput
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- hard # Retry indefinitely on failure
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- noatime # Don't update access times (performance)
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reclaimPolicy: Delete
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volumeBindingMode: Immediate
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```
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### Why "nfs-slow"?
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The naming is intentional - it sets correct expectations:
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- **Latency:** NAS is over network, higher latency than local NVMe
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- **IOPS:** Spinning disks in NAS can't match SSD performance
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- **Throughput:** Adequate for streaming media, not for databases
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- **Benefit:** Massive capacity without consuming cluster disk space
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## Storage Tier Selection Guide
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| Workload Type | Storage Class | Rationale |
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|---------------|---------------|-----------|
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| PostgreSQL (CNPG) | `longhorn` or `nfs-slow` | Depends on criticality |
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| Prometheus/ClickHouse | `longhorn` | High write IOPS required |
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| Vault | `longhorn` | Security-critical, needs HA |
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| Media (Jellyfin, Kavita) | `nfs-slow` | Large files, sequential reads |
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| Photos (Immich) | `nfs-slow` | Bulk storage for photos |
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| User files (Nextcloud) | `nfs-slow` | Capacity over speed |
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| AI/ML models (Ray) | `nfs-slow` | Large model weights |
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| Build caches (Gitea runner) | `nfs-slow` | Ephemeral, large |
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| MLflow artifacts | `nfs-slow` | Model artifacts storage |
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## Volume Usage by Tier
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### Longhorn Volumes (Performance Tier)
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| Workload | Size | Replicas | Access Mode |
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|----------|------|----------|-------------|
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| Prometheus | 50Gi | 2 | RWO |
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| Vault | 2Gi | 2 | RWO |
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| ClickHouse | 100Gi | 2 | RWO |
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| Alertmanager | 1Gi | 2 | RWO |
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### NFS Volumes (Capacity Tier)
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| Workload | Size | Access Mode | Notes |
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|----------|------|-------------|-------|
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| Jellyfin | 2Ti | RWX | Media library |
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| Immich | 500Gi | RWX | Photo storage |
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| Nextcloud | 1Ti | RWX | User files |
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| Kavita | 200Gi | RWX | Ebooks, comics |
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| MLflow | 100Gi | RWX | Model artifacts |
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| Ray models | 200Gi | RWX | AI model weights |
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| Gitea runner | 50Gi | RWO | Build caches |
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| Gitea DB (CNPG) | 10Gi | RWO | Capacity-optimized |
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## Backup Strategy
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### Longhorn Tier
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#### Local Snapshots
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- **Frequency:** Nightly at 2 AM
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- **Retention:** 7 days
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- **Purpose:** Quick recovery from accidental deletion
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#### Off-Cluster Backups
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- **Frequency:** Weekly on Sundays at 3 AM
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- **Destination:** S3-compatible storage (MinIO/Backblaze)
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- **Retention:** 4 weeks
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- **Purpose:** Disaster recovery
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### NFS Tier
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#### NAS-Level Backups
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- Handled by NAS backup solution (snapshots, replication)
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- Not managed by Kubernetes
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- Relies on NAS raid configuration for redundancy
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### Backup Target Configuration (Longhorn)
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```yaml
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# ExternalSecret for backup credentials
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apiVersion: external-secrets.io/v1
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kind: ExternalSecret
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metadata:
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name: longhorn-backup-secret
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spec:
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secretStoreRef:
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kind: ClusterSecretStore
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name: vault
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target:
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name: longhorn-backup-secret
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data:
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- secretKey: AWS_ACCESS_KEY_ID
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remoteRef:
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key: kv/data/longhorn
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property: backup_access_key
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- secretKey: AWS_SECRET_ACCESS_KEY
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remoteRef:
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key: kv/data/longhorn
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property: backup_secret_key
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```
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## Node Exclusions (Longhorn Only)
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**Raspberry Pi nodes excluded because:**
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- Limited disk I/O performance
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- SD card wear concerns
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- Memory constraints for Longhorn components
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**GPU nodes included with tolerations:**
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- `khelben` (NVIDIA) participates in Longhorn storage
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- Taint toleration allows Longhorn to schedule there
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## Performance Considerations
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### Longhorn Performance
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- `khelben` has NVMe - fastest storage node
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- `mystra`/`selune` have SATA SSDs - adequate for most workloads
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- 2 replicas across different nodes ensures single node failure survival
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- Trade-off: 2x storage consumption
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### NFS Performance
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- Optimized with `nconnect=16` for parallel connections
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- `noatime` reduces unnecessary write operations
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- Sequential read workloads perform well (media streaming)
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- Random I/O workloads should use Longhorn instead
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### When to Choose Each Tier
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| Requirement | Longhorn | NFS-Slow |
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|-------------|----------|----------|
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| Low latency | ✅ | ❌ |
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| High IOPS | ✅ | ❌ |
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| Large capacity | ❌ | ✅ |
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| ReadWriteMany (RWX) | Limited | ✅ |
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| Node failure survival | ✅ | ✅ (NAS HA) |
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| Kubernetes-native | ✅ | ✅ |
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## Monitoring
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**Grafana Dashboard:** Longhorn dashboard for:
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- Volume health and replica status
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- IOPS and throughput per volume
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- Disk space utilization per node
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- Backup job status
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**Alerts:**
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- Volume degraded (replica count < desired)
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- Disk space low (< 20% free)
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- Backup job failed
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## Future Enhancements
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1. **NAS high availability** - Second NAS with replication
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2. **Dedicated storage network** - Separate VLAN for storage traffic
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3. **NVMe-oF** - Network NVMe for lower latency
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4. **Tiered Longhorn** - Hot (NVMe) and warm (SSD) within Longhorn
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5. **S3 tier** - MinIO for object storage workloads
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## References
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* [Longhorn Documentation](https://longhorn.io/docs/)
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* [Longhorn Best Practices](https://longhorn.io/docs/latest/best-practices/)
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* [NFS CSI Driver](https://github.com/kubernetes-csi/csi-driver-nfs)
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* [Talos Longhorn Integration](https://www.talos.dev/v1.6/kubernetes-guides/configuration/storage/)
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