Complete documentation refactoring with 57 service docs

- Refactored README.md, getting-started.md, quick-reference.md
- Enhanced setup-homelab.sh with 9-step automated process
- Created services-overview.md with all stacks
- Added comprehensive documentation for 57 services in docs/service-docs/
- All services include: overview, configuration, resources, educational content
- Coverage: Core, Infrastructure, Dashboards, Media, Media-Extended, Home Assistant, Productivity, Utilities, Monitoring, Development stacks
- Educational focus with links to tutorials, videos, and guides
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# Loki - Log Aggregation
## Table of Contents
- [Overview](#overview)
- [What is Loki?](#what-is-loki)
- [Why Use Loki?](#why-use-loki)
- [Configuration in AI-Homelab](#configuration-in-ai-homelab)
- [Official Resources](#official-resources)
- [Docker Configuration](#docker-configuration)
## Overview
**Category:** Log Aggregation
**Docker Image:** [grafana/loki](https://hub.docker.com/r/grafana/loki)
**Default Stack:** `monitoring.yml`
**Web UI:** Accessed via Grafana
**Query Language:** LogQL
**Ports:** 3100
## What is Loki?
Loki is a log aggregation system inspired by Prometheus but for logs. It doesn't index log contents (like Elasticsearch), instead it indexes metadata labels, making it much more efficient. Designed to work seamlessly with Grafana for log visualization.
### Key Features
- **Label-Based Indexing:** Efficient storage
- **Grafana Integration:** Native support
- **LogQL:** Prometheus-like queries
- **Multi-Tenancy:** Isolated logs
- **Compression:** Efficient storage
- **Low Resource:** Minimal overhead
- **Promtail Agent:** Log shipper
- **Free & Open Source:** CNCF project
## Why Use Loki?
1. **Efficient:** Indexes labels, not content
2. **Grafana Native:** Seamless integration
3. **Cheap:** Low storage costs
4. **Simple:** Easy to operate
5. **Prometheus-Like:** Familiar for Prometheus users
6. **Low Resource:** Lightweight
7. **LogQL:** Powerful queries
## Configuration in AI-Homelab
```
/opt/stacks/monitoring/loki/
loki-config.yml # Loki configuration
data/ # Log storage
```
## Official Resources
- **Website:** https://grafana.com/oss/loki
- **Documentation:** https://grafana.com/docs/loki/latest
- **LogQL:** https://grafana.com/docs/loki/latest/logql
## Docker Configuration
```yaml
loki:
image: grafana/loki:latest
container_name: loki
restart: unless-stopped
networks:
- traefik-network
ports:
- "3100:3100"
command: -config.file=/etc/loki/loki-config.yml
volumes:
- /opt/stacks/monitoring/loki/loki-config.yml:/etc/loki/loki-config.yml
- /opt/stacks/monitoring/loki/data:/loki
```
### loki-config.yml
```yaml
auth_enabled: false
server:
http_listen_port: 3100
ingester:
lifecycler:
ring:
kvstore:
store: inmemory
replication_factor: 1
chunk_idle_period: 5m
chunk_retain_period: 30s
schema_config:
configs:
- from: 2020-05-15
store: boltdb
object_store: filesystem
schema: v11
index:
prefix: index_
period: 24h
storage_config:
boltdb:
directory: /loki/index
filesystem:
directory: /loki/chunks
limits_config:
enforce_metric_name: false
reject_old_samples: true
reject_old_samples_max_age: 168h
chunk_store_config:
max_look_back_period: 0s
table_manager:
retention_deletes_enabled: true
retention_period: 168h
```
## Summary
Loki provides log aggregation offering:
- Efficient label-based indexing
- Grafana integration
- LogQL query language
- Low storage costs
- Minimal resource usage
- Promtail log shipping
- Free and open-source
**Perfect for:**
- Docker container logs
- Application logs
- System logs
- Centralized logging
- Grafana users
- Prometheus users
**Key Points:**
- Indexes labels, not content
- Much cheaper than Elasticsearch
- Works with Promtail
- Query in Grafana
- LogQL similar to PromQL
- Low resource usage
- 7-day retention typical
**Remember:**
- Use Promtail to send logs
- Add as Grafana data source
- LogQL for queries
- Configure retention
- Monitor disk space
- Label logs appropriately
Loki aggregates logs efficiently!